Handbook of Food Analysis Instruments

Handbook of Food Analysis Instruments Handbook of Food Analysis Instruments

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7 CONTENTS Gas Chromatography in Food Analysis Jana Hajslova and Tomas Cajka 7.1 Introduction.......................................................................................................................... 119 7.2 Sample Introduction............................................................................................................. 120 7.2.1 Split=Splitless Injection............................................................................................ 120 7.2.2 Cold On-Column Injection ...................................................................................... 122 7.2.3 Programmable Temperature Vaporization Injection................................................ 123 7.2.4 Direct Sample Introduction=Difficult Matrix Introduction...................................... 125 7.2.5 Solid-Phase Microextraction.................................................................................... 125 7.3 Sample Separation................................................................................................................ 126 7.3.1 Capillary Columns for GC....................................................................................... 126 7.3.2 Fast Gas Chromatography ....................................................................................... 126 7.3.3 Comprehensive Two-Dimensional Gas Chromatography....................................... 130 7.3.3.1 GC GC Setup ........................................................................................ 131 7.3.3.2 Optimization of Operation Conditions and Instrumental Requirements in GC GC ....................................................................... 131 7.3.3.3 Advantages of GC GC .......................................................................... 133 7.4 Sample Detection ................................................................................................................. 134 7.4.1 Flame Ionization Detector ....................................................................................... 135 7.4.2 Thermal Conductivity Detector ............................................................................... 136 7.4.3 Electron Capture Detector ....................................................................................... 136 7.4.4 Nitrogen–Phosphorus Detector................................................................................ 136 7.4.5 Flame Photometric Detector and Pulsed Flame Photometric Detector ................... 136 7.4.6 Photo-Ionization Detector........................................................................................ 136 7.4.7 Electrolytic Conductivity Detector .......................................................................... 136 7.4.8 Atomic-Emission Detector....................................................................................... 136 7.4.9 Mass Spectrometric Detector................................................................................... 137 7.5 Matrix Effects ...................................................................................................................... 137 7.6 Food Analysis Applications................................................................................................. 140 7.7 Conclusion and Future Trends............................................................................................. 142 Acknowledgments......................................................................................................................... 142 References..................................................................................................................................... 142 7.1 INTRODUCTION In food analysis, gas chromatography (GC) represents one of the key separation techniques for many groups of (semi)volatile compounds. The high separation power of GC in a combination with a wide range of the detectors makes GC an important tool in the determination of various components that may occur in such complex matrices as food crops and products. ß 2008 by Taylor & Francis Group, LLC.

7<br />

CONTENTS<br />

Gas Chromatography<br />

in <strong>Food</strong> <strong>Analysis</strong><br />

Jana Hajslova and Tomas Cajka<br />

7.1 Introduction.......................................................................................................................... 119<br />

7.2 Sample Introduction............................................................................................................. 120<br />

7.2.1 Split=Splitless Injection............................................................................................ 120<br />

7.2.2 Cold On-Column Injection ...................................................................................... 122<br />

7.2.3 Programmable Temperature Vaporization Injection................................................ 123<br />

7.2.4 Direct Sample Introduction=Difficult Matrix Introduction...................................... 125<br />

7.2.5 Solid-Phase Microextraction.................................................................................... 125<br />

7.3 Sample Separation................................................................................................................ 126<br />

7.3.1 Capillary Columns for GC....................................................................................... 126<br />

7.3.2 Fast Gas Chromatography ....................................................................................... 126<br />

7.3.3 Comprehensive Two-Dimensional Gas Chromatography....................................... 130<br />

7.3.3.1 GC GC Setup ........................................................................................ 131<br />

7.3.3.2 Optimization <strong>of</strong> Operation Conditions and Instrumental<br />

Requirements in GC GC ....................................................................... 131<br />

7.3.3.3 Advantages <strong>of</strong> GC GC .......................................................................... 133<br />

7.4 Sample Detection ................................................................................................................. 134<br />

7.4.1 Flame Ionization Detector ....................................................................................... 135<br />

7.4.2 Thermal Conductivity Detector ............................................................................... 136<br />

7.4.3 Electron Capture Detector ....................................................................................... 136<br />

7.4.4 Nitrogen–Phosphorus Detector................................................................................ 136<br />

7.4.5 Flame Photometric Detector and Pulsed Flame Photometric Detector ................... 136<br />

7.4.6 Photo-Ionization Detector........................................................................................ 136<br />

7.4.7 Electrolytic Conductivity Detector .......................................................................... 136<br />

7.4.8 Atomic-Emission Detector....................................................................................... 136<br />

7.4.9 Mass Spectrometric Detector................................................................................... 137<br />

7.5 Matrix Effects ...................................................................................................................... 137<br />

7.6 <strong>Food</strong> <strong>Analysis</strong> Applications................................................................................................. 140<br />

7.7 Conclusion and Future Trends............................................................................................. 142<br />

Acknowledgments......................................................................................................................... 142<br />

References..................................................................................................................................... 142<br />

7.1 INTRODUCTION<br />

In food analysis, gas chromatography (GC) represents one <strong>of</strong> the key separation techniques for<br />

many groups <strong>of</strong> (semi)volatile compounds. The high separation power <strong>of</strong> GC in a combination with<br />

a wide range <strong>of</strong> the detectors makes GC an important tool in the determination <strong>of</strong> various<br />

components that may occur in such complex matrices as food crops and products.<br />

ß 2008 by Taylor & Francis Group, LLC.


Conventional<br />

Advanced<br />

Split<br />

Sample<br />

preparation<br />

Sample<br />

introduction<br />

Classical splitless<br />

Pulsed splitless<br />

Cold on-column<br />

Programmable temperature<br />

vaporiser<br />

Direct sample introduction/<br />

Difficult matrix introduction<br />

Solid-phase microextraction<br />

In practice, a GC-ba sed method consi sts typicall y <strong>of</strong> the follow ing steps : (1) isol ation <strong>of</strong><br />

analyt es from a representat ive sample (extr action); (2) separa tion <strong>of</strong> co-extract ed mat rix componen ts<br />

(clea nup); (3) ident i fication and quanti fica tion <strong>of</strong> targe t analyt es (dete rminativ e step) , and if the<br />

need is imp ortan t enough, this is foll owed by (4) con firmation <strong>of</strong> results by an addit ional analys is<br />

(Figur e 7.1). In any case, the sample prepar atio n pract ice plays a cruci al role for obtaining required<br />

param eters <strong>of</strong> a parti cular analytical method. Under some cond itions, especi ally when polar analytes<br />

are to be analyze d, derivatiz ation is ca rried out prior to the GC step to avoid hydroge n bondin g,<br />

hence incre asing the a nalyte volatil ity and reducing interacti on wi th acti ve sit es in the syst em.<br />

In Figure 7.2, the interrel ationshi p between solut e amoun ts and inst rumental options (inlet,<br />

colum n, and detector) is illust rated. GC users shoul d examine the relations hip <strong>of</strong> analyz ed samp les<br />

to the operat ing range <strong>of</strong> the instrum ent syst em. If the analyt e concent ration lies outside this range, a<br />

diff erent injectio n technique, column dim ension, or detector may be appropr iate.<br />

7.2 SAMPLE INTRODUCTION<br />

The re are a numbe r <strong>of</strong> options avail able for GC inlet syst ems; the most common (charac terized<br />

below) being spli t=splitless, progra mmed temperat ure vap orizer, and cold on-column (COC)<br />

inje ctor. The choice <strong>of</strong> an optimum samp le introduct ion strategy depend s mainly on the c oncentration<br />

range <strong>of</strong> targe t analyt es, thei r p hysico-chem ical proper ties, and the amount and natur e <strong>of</strong> mat rix<br />

co-ext racts presen t in the samp le.<br />

7.2.1 S PLIT=SPLITLESS INJECTION<br />

1D-GC<br />

2D-GC<br />

Data analysis<br />

Separation Detection<br />

Conventional GC<br />

Fast GC<br />

Very fast GC<br />

Ultra-fast GC<br />

Heart-cut GC<br />

Comprehensive twodimensional<br />

GC<br />

Split=splitl ess inje ction remains the main samp le introduct ion techniq ue in the analysis <strong>of</strong><br />

GC-am enable food compo nents mai nly due to its easy operat ions.<br />

Conventional<br />

Mass spec.<br />

Flame ionisation<br />

Thermal conductivity<br />

Electron capture<br />

Nitrogen–phosphorus<br />

(Pulsed) flame photometric<br />

Photo-ionisation<br />

Electrolytic conductivity<br />

Atomic-emission<br />

Quadrupole<br />

Quadrupole ion trap<br />

Magnetic sector<br />

Time-<strong>of</strong>-flight<br />

Hybrid instruments<br />

FIGURE 7.1 Basic steps typically involved in the determinative step <strong>of</strong> gas chromatographic analysis <strong>of</strong><br />

organic food compounds.<br />

ß 2008 by Taylor & Francis Group, LLC.


Mass and<br />

concentration<br />

Splitless, direct,<br />

on-column Split<br />

Column diameter<br />

and film thickness<br />

Detector minimum detection<br />

limit and dynamic range<br />

Femtograms<br />

parts per trillion<br />

Picograms<br />

parts per billion<br />

Nanograms<br />

parts per million<br />

Micrograms<br />

parts per thousand<br />

1 10 100 1 10 100 1 10 100 1 10 100 1000<br />

10 –15 10 –14<br />

10 –15 10 –14<br />

10 –13 10 –12<br />

10 –13 10 –12<br />

10 –11 10 –10<br />

10<br />

Splitless<br />

–11 10 –10<br />

Solute mass (g)<br />

10 –9 10 –8<br />

Percentage:<br />

Split 100:1<br />

dc df 530 µm 0.1 µm 5.0 µm<br />

320 µm<br />

0.1 µm 5.0 µm<br />

250 µm<br />

0.1 µm 1.0 µm<br />

180 µm<br />

0.1 µm 0.5 µm<br />

100 µm<br />

0.1 µm 0.5 µm<br />

Flame ionization<br />

Nitrogen–phosphorus<br />

Electron–capture<br />

MS (scan)<br />

MS (single-ion monitoring)<br />

Thermal conductivity<br />

10<br />

Solute mass (g)<br />

–15 10 –14 10 –13 10 –12 10 –11 10 –10 10 –9 10 –8 10 –7 10 –6 10 –5 10 –4 10 –3<br />

In a split inje ction mode, typically small volum e <strong>of</strong> samp le extra ct (0.1 –2 m L) is rapid ly<br />

delivered into a heated glass line r foll owed by its splitting into tw o streams: the large r part is<br />

vented , while the smal ler part is trans ferred onto the column. Conside ring that the most <strong>of</strong> injected<br />

samp le is lost, this techniqu e is obviou sly not suitable for trace analys is, where very low detection<br />

limits are requi red. Anot her problem associated with split injectio n is a potent ial discrim ination due<br />

to the heati ng <strong>of</strong> the syri nge during its introduct ion into a hot inje ctor resul ting in a change <strong>of</strong><br />

relative abund ances <strong>of</strong> samp le compo nents when a mixture <strong>of</strong> analytes large ly diff ering in boiling<br />

points is analyz ed. Another advers e phenomen on relat ed to this technique is n onlinear splitting due<br />

to adsorp tion <strong>of</strong> samp le compo nents on liner surfa ces or deposi ted mat rix ‘‘dirt. ’’<br />

Nowaday s, hot splitl ess injectio n repres ents the most comm only used injection techniq ue in<br />

trace quanti tative ana lysis since e ntire inje cted samp le is intr oduced onto the GC capillary . The<br />

major limitati on <strong>of</strong> this inlet is that it suffe rs from the potential therm al degrada tion and adsorption<br />

<strong>of</strong> susceptible analytes that may result either in matrix-induced response enhancement or its<br />

diminishment. In addition, the volume <strong>of</strong> injected sample=solvent is typically limited to 1 mL (for<br />

some solvents even less) due to the expansi on volume <strong>of</strong> solve nt used (T able 7.1), since the total<br />

liner volume is in a range <strong>of</strong> 150–1000 mL and the safety limit is typically 75% in maximum <strong>of</strong> the<br />

total liner volume.<br />

10 –9<br />

10 –8<br />

10 –7<br />

10 –7<br />

0.1% 1% 10% 100%<br />

FIGURE 7.2 GC dynamic range nomogram. Concentrations expressed in grams per microliter (g=mL).<br />

(Reproduced from Hinshaw, J.V., LC GC Eur., 20, 138, 2007. With permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

10 –6<br />

10 –6<br />

10 –5<br />

10 –5<br />

10 –4<br />

10 –4<br />

10 –3<br />

10 –3


TABLE 7.1<br />

Expan sion Vol ume <strong>of</strong> So lvents Used in GC<br />

Solvent<br />

1 mL at 2508C<br />

and 69 kPa (10 psig)<br />

To overcome, or at least partly compensate for these problems, pulsed splitless injection can be<br />

applied. Increased column head pressure for a short period during the sample injection (usually 1–2min)<br />

leads to a higher carrier gas flow rate through the injector (8–9 versus0.5–1 mL=min during classical<br />

splitless injection), thus faster transport <strong>of</strong> sample vapors onto the GC column. In this way, the residence<br />

time <strong>of</strong> analytes and, consequently, their interaction with active sites in the GC inlet is fairly reduced [3].<br />

The detection limits <strong>of</strong> troublesome compounds obtained with pulsed splitless injection are thus lower<br />

and their further improvement can be obtained by injection <strong>of</strong> higher sample volumes (for most liners up<br />

to 5 mL) without the risk <strong>of</strong> backflash (Table 7.1) [4]. It should be noted that for injections > 1–2 mL, a<br />

retention gap prior to the analytical column is generally required to avoid excessive contamination <strong>of</strong><br />

separation column and peak distortion (Figure 7.3).<br />

7.2.2 C OLD ON-COLUMN INJECTION<br />

Expansion Volume (mL)<br />

1 mL at 2508C<br />

and 345 kPa (50 psig)<br />

5 mL at 2508C<br />

and 345 kPa (50 psig)<br />

Water 1414 540 2700<br />

Methanol 631 241 1205<br />

Acetonitrile 487 186 929<br />

Acetone 347 133 663<br />

Ethyl acetate 261 100 498<br />

Toluene 241 92 460<br />

Hexane 195 75 373<br />

Isooctane 155 59 295<br />

Source: From Hewlett-Packard FlowCalc 2.0 s<strong>of</strong>tware. Available at http:==www.chem.agilent.<br />

com=cag=servsup=users<strong>of</strong>t=files=GCFC.htm via the Internet. Accessed July 1, 2007.<br />

Note: Calculated using Hewlett-Packard FlowCalc 2.0 s<strong>of</strong>tware.<br />

In COC injectio n, a sample aliq uot is directly introduced by a speci al syri nge onto the analyt ical<br />

colum n or a reten tion gap at tem peratures lower (608 C –80 8C) than those typicall y used in hot<br />

Pulsed splitless Pulsed splitless<br />

3 µL<br />

4 µL<br />

2 µL<br />

1 µL<br />

Splitless 1 µL<br />

(A) (B)<br />

FIGURE 7.3 Peak shapes obtained by pulsed splitless injections <strong>of</strong> different volumes <strong>of</strong> standard solution<br />

onto the GC column (A) without a retention gap; (B) with an installed retention gap. (Reproduced from Godula,<br />

M., Hajslova, J., and Alterova, K., J. High Resolut. Chromatogr., 22, 395, 1999. With permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

5 µL<br />

3 µL<br />

2 µL<br />

1 µL


split=splitless mode (2008C–3008C). COC is therefore expected to cause less thermal stress<br />

on analytes during the injection process. This low-temperature injection eliminates both syringe<br />

needle and inlet discrimination and is suitable namely for high-boiling analytes. On the other hand,<br />

the introduction <strong>of</strong> the entire sample (both analytes and matrix components co-isolated from food<br />

matrix) into the GC system is associated with increased demands for cleaning and maintenance<br />

when such complex samples as food is analyzed [5].<br />

There are two alternative approaches available to perform on-column injection.<br />

1. Small volume on-column injection: In this approach, a small volume <strong>of</strong> the sample (up to<br />

1–2 mL) is injected onto the separation column, or preferably, in the case <strong>of</strong> dirty samples,<br />

onto a retention gap [6].<br />

2. Large volume on-column injection: In this mode, a large volume <strong>of</strong> the sample (up to<br />

1000 mL) can be introduced into the GC system [7]. The bulk <strong>of</strong> solvent is usually<br />

eliminated via a special solvent vapor exit. Once the venting is finished, the solvent<br />

vapor exit is closed and analytes, together with remaining traces <strong>of</strong> solvent, are transferred<br />

onto the analytical column. However, a modification <strong>of</strong> the GC system is required in this<br />

case to include a large diameter retention gap (10–15 m 0.53 mm), connected to a<br />

retaining precolumn (3–5 m 0.32 mm) assisting in retention <strong>of</strong> volatile analytes. In<br />

addition, injection speed has to be slowed down to prevent flooding <strong>of</strong> the system during<br />

large volume injections (LVI) with injection speeds in LVI-COC <strong>of</strong> 20–300 mL=min as<br />

compared to LVI-PTV at 50–1500 mL=min [8].<br />

7.2.3 PROGRAMMABLE TEMPERATURE VAPORIZATION INJECTION<br />

A programmable temperature vaporization (PTV) injector represents the most versatile GC inlet<br />

<strong>of</strong>fering significant reduction <strong>of</strong> most problems typically present when using hot vaporizing devices<br />

(splitless and=or cool on-column inlets) in trace analysis. The most important fact is that a PTV<br />

injector chamber is cool at the moment <strong>of</strong> injection. A rapid temperature increase, following<br />

withdrawal <strong>of</strong> the syringe from the inlet, allows efficient transfer <strong>of</strong> the volatile analytes onto the<br />

GC column while leaving behind nonvolatiles in the injection liner. With regard to these operational<br />

features, PTV is ideally suited for thermally labile analytes and samples with a wide boiling range<br />

(when needed, PTV operating temperature can be programmed even higher than the usual column<br />

temperature allowing injection <strong>of</strong> analytes that would not be vaporized through a classic split=splitless<br />

inlet). In addition eliminating a discrimination phenomenon and diminishing adverse affects <strong>of</strong><br />

nonvolatile matrix deposits on the recovery <strong>of</strong> injected analytes, PTV enables to introduce large<br />

sample volumes (up to hundreds <strong>of</strong> microliters) into the GC system. No retention gaps or precolumns<br />

are needed for this purpose; instead <strong>of</strong> that, the liner size is increased. This feature makes<br />

PTV particularly suitable for trace analysis and also enables its online coupling with various<br />

enrichment and cleanup techniques such as automated solid-phase extraction (SPE) approaches.<br />

From practical point <strong>of</strong> view, PTV is compatible with any capillary GC column diameter including<br />

microbore columns. However, to attain optimal PTV performance in particular application, many<br />

parameters have to be optimized (e.g., initial and final injector temperature, inlet heating rate,<br />

venting time, flow and pressure, transfer time, injection volume, type <strong>of</strong> liner). Due to the inherent<br />

complexity <strong>of</strong> this inlet, method development might become on some occasions a rather demanding<br />

task. Despite that, the use <strong>of</strong> PTV in food analysis is rapidly growing. The paragraphs below<br />

describe two most commonly used PTV operation modes.<br />

1. PTV splitless injection. The sample is introduced at a temperature below or close to the<br />

boiling point <strong>of</strong> the solvent. A split exit is closed during the sample evaporation and<br />

solvent vapors are vented via a GC column. PTV splitless injection can be employed for<br />

both LVI <strong>of</strong> up to 20 mL <strong>of</strong> sample and for conventional small volume injections [9]. The<br />

ß 2008 by Taylor & Francis Group, LLC.


advantage <strong>of</strong> this technique is that no losses <strong>of</strong> volatile analytes occur. Operating parameters<br />

have to be carefully optimized to avoid inlet overflow by sample vapors (losses <strong>of</strong><br />

volatile compounds) as well as column flooding by excessive solvent (poor peak shapes <strong>of</strong><br />

more volatile analytes). It has been reported that for some analytes the PTV splitless<br />

injection may produce better stability <strong>of</strong> responses and less matrix influence [10].<br />

2. PTV solvent vent injection. When employing this technique, a sample is injected at temperatures<br />

well below the boiling point <strong>of</strong> the solvent, holding the temperature <strong>of</strong> the injection<br />

port at low a value, thus enabling elimination <strong>of</strong> solvent vapors via a split exit. After the<br />

venting step, the inlet is rapidly heated and analytes are transferred onto the front part <strong>of</strong> a<br />

GC column. In this way, sample volumes <strong>of</strong> up to hundreds <strong>of</strong> microliters can be injected<br />

[11,12]. For injection <strong>of</strong> large volumes, injector liner is <strong>of</strong>ten packed with various sorbents<br />

(e.g., Tennax, polyimide, Chromosorb, glass wool, glass beads, PTFE, Dexsil) in order<br />

to protect solvent from reaching bottom <strong>of</strong> injector what may lead to column flooding<br />

with liquid sample [13]. However, some labile compounds can be prone to degradation=<br />

rearrangement due to the catalytic effects <strong>of</strong> the sorbent; alternatively, strong binding onto<br />

the packing material causes poor desorption (Figure 7.4). If selection <strong>of</strong> a suitable inactive<br />

sorbent fails to prevent these adverse effects, then the only viable solution is the use <strong>of</strong> an<br />

empty or open liner. Under these conditions, rather smaller volumes (in maximum about<br />

50 mL) <strong>of</strong> sample can be injected, typically employing a concept <strong>of</strong> multiple injections to<br />

get a larger injection volume. Obtaining good performance <strong>of</strong> the PTV injector in solvent<br />

vent mode requires thorough experimental optimization <strong>of</strong> all relevant parameters as<br />

described above.<br />

pA<br />

1400<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

0<br />

(A)<br />

(B)<br />

pA<br />

1400<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

0<br />

Methamidophos<br />

12.255 12.328<br />

10 12.5 15 17.5 20 22.5 25 27.5 30 32.5 min<br />

12.041<br />

Acephate<br />

13.975<br />

14.194<br />

14.205<br />

Omethoate<br />

15.750<br />

Dimethoate<br />

17.742<br />

17.739<br />

19.182<br />

19.188<br />

20.906 Carbaryl<br />

21.156<br />

21.656<br />

22.185<br />

22.592<br />

20.915<br />

21.664<br />

22.600<br />

10 12.5 15 17.5 20 22.5 25 27.5 30 32.5 min<br />

FIGURE 7.4 Chromatograms obtained by programmable temperature vaporization (PTV) injection into<br />

(A) empty liner and (B) liner packed with glass wool plug. The differences in responses <strong>of</strong> sensitive analytes<br />

when injections were carried out into empty multibaffle liner and into single-baffle liner packed with glass<br />

wool. (Reproduced from Godula, M. et al., J. Sep. Sci., 24, 355, 2001. With permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

24.749<br />

25.803<br />

25.801<br />

31.943 Phosalone<br />

31.950


7.2.4 DIRECT SAMPLE INTRODUCTION=DIFFICULT MATRIX INTRODUCTION<br />

Direct sample introduction (DSI) or its fully automated version, difficult matrix introduction (DMI),<br />

represents a novel LVI technique. The DSI approach involves adding up to 30 mL <strong>of</strong> the extract to a<br />

microvial that is placed in the adapted GC liner. The solvent is evaporated and vented at a relatively<br />

low temperature. After that, the injector is ballistically heated to volatilize the GC-amenable<br />

compounds, which are then focused at the front <strong>of</strong> a relatively cold GC column. The column then<br />

undergoes normal temperature programming to separate the analytes and cool to initial conditions,<br />

at which time the microvial is removed and discarded along with the nonvolatile matrix components<br />

that it contains. Only those compounds with the volatility range <strong>of</strong> the analytes enter the<br />

column [14]. In the commercial DMI approach, the entire liner along with the microvial is replaced<br />

after each injection [15].<br />

In this way, time-consuming and expensive purification steps can be omitted=significantly<br />

reduced for some matrices [15,16]. Since the bulk (semi)volatile matrix components introduced<br />

from the sample into the injector may influence the quantitative aspects <strong>of</strong> the injection process and<br />

interfere in analytes detection, instruments with MS analyzers (single or tandem) providing more<br />

accurate results should be preferably used [17]. In Figure 7.5 the distinct improvement obtained by<br />

sample cleanup is illustrated. Regardless sample preparation strategy, reduced demands for the GC<br />

system maintenance represents a positive feature <strong>of</strong> this technique.<br />

7.2.5 SOLID-PHASE MICROEXTRACTION<br />

Solid-phase microextraction (SPME) represents a solvent-free sampling technique employing a<br />

fused-silica fibre that is coated on the outside with an appropriate stationary phase. Volatile analytes<br />

emitted from the analyzed sample are isolated from the headspace or by direct immersion into the<br />

liquid sample and concentrated in fibre coating. After the extraction, thermal desorption in the hot<br />

GC injection port follows [18]. The main features <strong>of</strong> SPME include unattended operation via<br />

robotics (if a fully automated option is available) and the elimination <strong>of</strong> maintenance <strong>of</strong> the liner<br />

and column. However, this sample introduction technique is associated with strong matrix effects,<br />

1 2<br />

Metalcap (septum inside)<br />

O-rings<br />

Needle guide<br />

Microvial<br />

Liner<br />

FIGURE 7.5 Difficult matrix introduction (DMI) liner after injection <strong>of</strong> (1) purified baby-food extract,<br />

(2) crude extract, and (3) detail <strong>of</strong> microvials used for introduction <strong>of</strong> crude extracts. (Reproduced from<br />

Cajka, T. et al., J. Sep. Sci., 28, 1048, 2005. With permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

3


thus compl ications in quanti fi cation. In addit ion, varia bility <strong>of</strong> limit <strong>of</strong> de tections for different<br />

analyt es depends on the equil ibrium b etween the coati ng mat erial and the matrix.<br />

7.3 SAMPLE SEPARATION<br />

To be amena ble for the GC analys is, an analyt e shoul d posses s not only appreci able volatil ity at<br />

tem peratures below 350 8C –400 8 C, but also must be able to wi thstand relative high tem peratures<br />

without degrada tion and reaction with other compo unds presen t in the GC syste m.<br />

Wit h regard to a typicall y co mplex mixture <strong>of</strong> matrix components occurring in food extrac ts<br />

(<strong>of</strong>t en even after its puri fication ), the optimizati on <strong>of</strong> GC separa tion requires careful attentio n to a<br />

numbe r <strong>of</strong> importan t varia bles and their interaction. Both physical (column length, internal diamet<br />

er, and stationar y phase incl uding its film thickness) , and param etric (temperat ure an d flow<br />

veloci ty) column varia bles affect the separa tion proces s.<br />

7.3.1 C APILLARY COLUMNS FOR GC<br />

To illustrate a wide range <strong>of</strong> combinations to be considered when selecting capillary GC column, the<br />

overview <strong>of</strong> commonly available internal diameters is shown in Table 7.2.<br />

Tab le 7. 3 shows relative polariti es <strong>of</strong> comm ercially available stationar y phases . The range <strong>of</strong><br />

stationary phases including also those dedicated for specific applications (e.g., volatiles, fatty acids,<br />

dioxins) is growing and also their quality characterized by reduced bleed and increased upper<br />

temperature limit is improving.<br />

In addition, the limits <strong>of</strong> inlet pressure, sampling system, and mass spectrometric detector<br />

(MSD) parameters have to be involved into consideration.<br />

7.3.2 FAST GAS CHROMATOGRAPHY<br />

A higher sample throughput together with the need to reduce laboratory operating costs has brought<br />

attention <strong>of</strong> many laboratories to the implementation <strong>of</strong> high-speed GC (HSGC) systems. Although<br />

the basic principles and theory <strong>of</strong> HSGC were formulated as early as in the 1960s, its practical<br />

development occurred at the end <strong>of</strong> last century from introduction <strong>of</strong> novel technologies such as new<br />

methods <strong>of</strong> fast and reproducible column heating, inlet devices allowing large sample volume<br />

introduction, and MS detectors with fast acquisition rates. It should be noted that full exploitation<br />

<strong>of</strong> the potential <strong>of</strong> this technique in routine practice is conditioned by reduction <strong>of</strong> sample<br />

TABLE 7.2<br />

Classification <strong>of</strong> Capillary Column<br />

Category<br />

Column Diameter<br />

Range (mm)<br />

Standard Commercial<br />

Column Diameters (mm)<br />

Max Flow Rate<br />

(mL=min) a<br />

Megabore 0.5 0.53 660<br />

Wide bore 0.3 to


TABLE 7.3<br />

Characterization <strong>of</strong> Stationary Phases Used in GC <strong>Analysis</strong><br />

Polarity Phase Composition Commercial Description<br />

Nonpolar 100% Dimethylpolysiloxane DB-1, DB-1 ms, HP-1, HP-1 ms, Ultra 1, DB-1ht,<br />

Equity-1, SPB-1, AT-1, AT-1MS, Optima 1, Optima-<br />

1 ms, BP-1, VF-1MS, CP Sil 5 CB, CP Sil 5 CB MS,<br />

ZB-1, 007-1, Elite-1, Rxi-1 ms, Rtx-1, Rtx-1MS<br />

5% Diphenyl–95% dimethylpolysiloxane DB-5, HP-5, DB-5 ms, HP-5 ms, Ultra 2, DB-5ht,<br />

Equity-5, SPB-5, AT-5, AT-5MS, Optima 5, Optima-5<br />

ms, BP-5, BPX-5, VF-5MS, CP Sil 8 CB, CP Sil 8 CB<br />

MS, ZB-5, 007-2, PE-2, Rxi-5 ms, Rtx-5, Rtx-5 ms,<br />

Rtx-5Sil MS<br />

20% Diphenyl–80% dimethylpolysiloxane Rtx-20, SPB-20, At-20, 007-7<br />

6% Cyanopropyl-phenyl–94%<br />

DB-1301, HP-1301, Rtx-1301, SPB-1301, AT-624,<br />

dimethylpolysiloxane<br />

Optima 1301, 007-1301<br />

35% Diphenyl–65% dimethylpolysiloxane DB-35, HP-35, DB-35 ms, Rtx-35, Rtx-35MS, SPB-35,<br />

AT-35, AT-35MS, BPX-35, VF-35MS, ZB-35, 007-11,<br />

PE-11<br />

Moderately polar 50% Diphenyl–50% dimethylpolysiloxane DB-17, DB-17 ms, HP-50 þ , DB-17ht, Rtx-17,<br />

VF-17MS, SPB-50, AT-50, AT-50MS, Optima 17,<br />

BPX-50, CP Sil 24 CB, ZB-50, 007-17, PE-17<br />

14% Cyanopropyl-phenyl–86%<br />

DB-1701, HP-1701, SPB-1701, AT-1701, Optima 1701,<br />

dimethylpolysiloxane<br />

BP-10, CP Sil 19 CB, ZB-1701, 007-1701, PE-1701<br />

50% Cyanopropyl-phenyl–50%<br />

DB-23, DB-225, DB-225 ms, Rtx-225, AT-225,<br />

dimethylpolysiloxane<br />

Optima 225, BP-225, CP Sil 43 CB, 007-225, PE-225<br />

Polar Polyethylene glycol DB-WAX, HP-INNOWax, Rtx-WAX, Stabilwax,<br />

Supelcowax-10, AT-Wax, Optima WAX, BP-20, CP<br />

Wax 52 CB, ZB-WAX, 007-CW, PE-CW<br />

Highly polar 70% Cyanopropyl-phenyl–30%<br />

dimethylpolysiloxane<br />

BPX-70<br />

100% Cyanopropylsiloxane SP-2340<br />

preparation time and other operations limiting laboratory throughput. Using approximate terms, the<br />

classification <strong>of</strong> GC analyses on the basis <strong>of</strong> their speed is summarized in Table 7.4.<br />

Alike in conventional GC, the separation time is defined as the retention time (t R) for the last<br />

target component peak eluting from the column:<br />

TABLE 7.4<br />

Classification <strong>of</strong> GC Analyses Based on Speed <strong>of</strong> Sample<br />

Separation<br />

Type <strong>of</strong><br />

GC <strong>Analysis</strong><br />

ß 2008 by Taylor & Francis Group, LLC.<br />

Typical Separation<br />

Time (min)<br />

Full Width at<br />

Half-Maximum<br />

Conventional >10 >1 s<br />

Fast 1–10 200–1000 ms<br />

Very fast 0.1–1 30–200 ms<br />

Ultra-fast


tR ¼ L<br />

( k þ 1) (7:1)<br />

u<br />

wher e<br />

k is the solut e c apacity ratio (capacity facto r, reten tion facto r) for the last compo und<br />

L is the column length<br />

u is the average linear carrier gas velocity<br />

On the b asis <strong>of</strong> this equation, the faster GC separa tion can be achiev ed by follow ing ways<br />

[19,20] :<br />

. Red uced c olumn length ( # L)<br />

. Decr eased retention factor ( # k): (1) increased isotherm al temperat ure, (2) faster temperature<br />

programm ing, (3) alte red stat ionary phase to imp rove selectivity, (4) thinner film <strong>of</strong><br />

the stationar y phase, (5) large r diameter c apillary colum n (for fixed length)<br />

. Increas ed carrier gas veloci ty ( " u ): (1) higher than opti mum carrier gas velocity,<br />

(2) increased optimum carrier gas veloci ty (hydro gen as a carrier gas and vac uum outlet<br />

operat ion)<br />

The increase in separa tion speed generally requi res a compromi se in terms <strong>of</strong> reduced resoluti on ( R)<br />

and=or samp le capacity ( Qc ). The accept ability <strong>of</strong> these losses has to be considered for each<br />

particu lar case separa tely . Availab ility <strong>of</strong> compa tible samp le introduct ion technique and detection<br />

param eters play an imp ortant role in selection <strong>of</strong> the analyt ical strategy.<br />

Red uction <strong>of</strong> column length repres ents a very sim ple approac h to decreas e time <strong>of</strong> GC analys is.<br />

In practice, almo st all fast GC analys es are perfor med wi th short colum ns (usually 10 m) in a<br />

combi nation with other approac hes (Figur e 7.6). On this accou nt, reduct ion <strong>of</strong> the length <strong>of</strong> a given<br />

colum n results in reduced resol ution ( R ~ p L), which can be compe nsated to some extent by<br />

suitable MS detector (spectral resolutio n).<br />

Use <strong>of</strong> a colum n with a small internal diam eter is anothe r attracti ve way tow ards faster GC<br />

analys is. How ever, the inst rumental requireme nts especiall y the dif fi culties with the samp le introducti<br />

on <strong>of</strong> large r sample volumes and also the lower samp le capaci ty limit their applicati on in many<br />

real- world analyses.<br />

Use <strong>of</strong> a column with a thin fi lm <strong>of</strong> stationar y phase results in the decreas e <strong>of</strong> the capacity<br />

(ret ention) factor and thus in the faster GC analysis. In addit ion, due to the decreas ed contribut ion <strong>of</strong><br />

mass trans fer in the stationar y phase, separa tion ef ficiency is incre ased. On the other hand, reduced<br />

ruggedn ess and samp le capacity are the fees for analys is speed.<br />

Fa st temperat ure progra mming is the most popula r approac h in applicati on <strong>of</strong> fast GC in food<br />

analys is. Ei ther convect ion heating facil itated by a convent ional GC ov en or resistive heati ng can be<br />

empl oyed. If ‘‘fast ’’ separa tion in terms <strong>of</strong> class ifi cation show n in Tab le 7.4 is required, a convent ional<br />

GC oven can be used. At fast er progra mming rates , heat losses from the oven to the surrounding may<br />

cause poor oven tempe rature pro file, hence lower reprod ucibili ty <strong>of</strong> analyt e elution.<br />

Oper ation <strong>of</strong> colum n outlet at low p ressure (low-pr essure GC) is anothe r fast GC alte rnative that<br />

may find a wide use in routine labor atories concern ed wi th food analysis. Because o f o perating a<br />

megab ore separa tion colum n (typicall y 10 m length 0.53 mm inte rnal diameter 0.25 –1 mm<br />

phase) at low pressure, optimum carrier gas linear velocity is attained at higher value because <strong>of</strong><br />

increased diffusivity <strong>of</strong> the solute in the gas phase. Consequently, faster GC separations can be<br />

achieved with a disproportionately smaller loss <strong>of</strong> separation power [22]. The main attractive<br />

featu res <strong>of</strong> LP- GC –MS invol ve (1) reduced peak tailing and width (F igure 7.7) thus their improved<br />

detection limits, (2) increased sample capacity <strong>of</strong> megabore column allowing injection <strong>of</strong> higher<br />

sample volume resulting in lower detection limits for compounds not limited by matrix interferences,<br />

and (3) reduced thermal degradation <strong>of</strong> thermally labile analytes [23,24].<br />

ß 2008 by Taylor & Francis Group, LLC.


Intensity<br />

(A)<br />

Intensity<br />

(B)<br />

50000<br />

40000<br />

30000<br />

20000<br />

10000<br />

80000<br />

60000<br />

40000<br />

20000<br />

1<br />

0 10 20 30 40 50 min<br />

1<br />

2<br />

2<br />

0.0 0.5<br />

3 4<br />

4<br />

5<br />

6<br />

6<br />

7<br />

7<br />

Hydrogen can be used as a carrier gas because with the highest diffusion coefficient it is<br />

obviously the best carrier gas for fast GC. Its low viscosity also results in lower inlet pressure<br />

requirements. In practice, however, helium is usually preferred as a carrier gas flow for safety and<br />

inertness reasons.<br />

8<br />

8<br />

9<br />

10 11 12 13<br />

14<br />

14<br />

20<br />

27<br />

28<br />

16<br />

15 18 19 22 25 30<br />

2123<br />

26 29<br />

31<br />

20<br />

9<br />

10 11 12 13 24<br />

16 22<br />

15 18 2123<br />

25<br />

19<br />

27<br />

28<br />

30<br />

29 31<br />

1.0 1.5 2.0 min<br />

FIGURE 7.6 GC–FID chromatograms <strong>of</strong> fatty acid methyl esters obtained under conditions <strong>of</strong> (A) conventional<br />

(column: Rtx-WAX, 30 m 0.25 mm 0.25 mm; injection: split 1:100; oven temperature<br />

program: 508C, 38C=min to 2808C; acquisition rate: 12.5 Hz) and (B) fast GC (column: Supelcowax,<br />

10 m 0.10 mm 0.10 mm; injection: split 1:200; oven temperature program: 508C, 808C=min to 1508C,<br />

708C=min to 2508C, 508C=min to 2808C (1 min); acquisition rate: 50 Hz). (Reproduced from Mondello, L.<br />

et al., J. Chromatogr A., 1035, 237, 2004. With permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.


Abundance Abundance<br />

3000<br />

2000<br />

1000<br />

m/z 201 m/z 201<br />

3000<br />

0 0<br />

Time−> 9.50<br />

10.50 min Time−> 3.00 4.00 min<br />

Abundance<br />

Abundance<br />

4000<br />

3000 m/z 283 m/z 283<br />

3000<br />

2000<br />

2000<br />

1000<br />

(A) Conventional GC–MS (B) LP-GC–MS<br />

7.3.3 COMPREHENSIVE TWO-DIMENSIONAL GAS CHROMATOGRAPHY<br />

In the analysis <strong>of</strong> complex mixtures, such as food extracts, by one-dimensional chromatography<br />

(1D-GC), overlap <strong>of</strong> some sample components unavoidably occurs. To achieve a considerable<br />

increase in peak capacity, two independent separation processes with peak capacities n 1 and n 2 can<br />

be employed in the sample analysis. Supposing that separations are based on two different<br />

mechanisms (orthogonality criterion), the maximum peak capacity calculated as n1 n2 is typically<br />

enhanced by at least one order <strong>of</strong> magnitude.<br />

Most <strong>of</strong> the successful applications reported in food analysis since 1960 up to 1990 employed<br />

so-called heart-cut mode, in which only narrow fraction(s) containing analytes <strong>of</strong> interest is (are)<br />

transported for further separation onto the second column.<br />

However, this approach has limitations. Increasing the width <strong>of</strong> the first column fraction or<br />

isolating too many parts <strong>of</strong> 1D-GC analysis to subject them to two-dimensional gas chromatography<br />

(2D-GC) separation becomes troublesome. Also, time-demanding reconstruction <strong>of</strong><br />

generated chromatograms may become a serious problem. The introduction <strong>of</strong> systems that<br />

allow the entire sample from the first column to be analyzed on the second column has enabled<br />

and improved both target and nontarget screening <strong>of</strong> food components in a wide range <strong>of</strong> matrices.<br />

This approach, called comprehensive two-dimensional (GC GC), is introduced in the following<br />

sections in a greater detail.<br />

4000<br />

2000<br />

1000<br />

1000<br />

0<br />

0<br />

Time−> 9.50 10.50 min Time−>3.00<br />

4.00 min<br />

FIGURE 7.7 Comparison <strong>of</strong> peak shapes <strong>of</strong> thiabendazole (m=z 201) and procymidone (m=z 283) obtained by<br />

(A) conventional GC–MS (column: Rtx-5MS, 30 m 0.25 mm 0.25 mm; injection: splitless, 1 mL; oven<br />

temperature program: 908C (0.5 min), 208C=min to 2208C, 58C=min to 2408C, 208C=min to 2908C (6.5 min))<br />

and (B) LP-GC–MS (column: Rtx-5Sil MS, 10 m 0.53 mm 1.0 mm coupled to 3 m 0.15 mm restriction<br />

column; injection: splitless, 1 mL; oven temperature program: 908C (0.5 min), 608C=min to 2908C (3.0 min)).<br />

(Reproduced from Mastovska, K., Lehotay, S.J., Hajslova, J., J. Chromatogr. A, 926, 291, 2001. With<br />

permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.


7.3.3. 1 GC GC Setup<br />

The hea rt <strong>of</strong> the GC GC syst em is a modul ator that connect s the fi rst-dimensi on convent ional-si ze<br />

column with a short microbore column in the second dimensi on (Figure 7.8).<br />

There are three fundamental functions <strong>of</strong> this interface: (1) trapping <strong>of</strong> small adjacent fractions<br />

(typically 2–10 s) <strong>of</strong> the effluent from the first separation column, (2) refocusing these fractions (either in<br />

time or in space), and (3) injection <strong>of</strong> the refocused fractions as narrow pulses into the second-dimension<br />

column. The separation on the latter column is extremely fast and takes only 2–10 s versus 20–120 min<br />

for the first dimension, and is therefore performed under essentially isothermal conditions.<br />

A large seri es <strong>of</strong> high-speed chromatogr ams as the outcome <strong>of</strong> the transfer <strong>of</strong> chromatogr aphic<br />

band from the first to the second dim ension are generated durin g the GC GC run. As shown in<br />

Figure 7.9, these adjace nt pulse s are usual ly stack ed side- by-side by a special s<strong>of</strong>t ware to form a 2D<br />

chromatogram with one dimension representing the retention time on the first column (tR1) and the<br />

other, the retention time on the second column (tR2). The most convenient way to visualize GC GC<br />

data is as contour plots representing the bird’s eye view, where peaks are displayed as spots on a<br />

plane using colors and shading to indicate the signal intensity (Figure 7.9).<br />

7.3.3.2 Optimization <strong>of</strong> Operation Conditions and Instrumental<br />

Requirements in GC GC<br />

Compared to conventional 1D-GC, the optimization <strong>of</strong> GC GC analysis requires a more complex<br />

approach. The changes in operational parameters such as oven temperature or carrier gas flow rate<br />

have different impacts on the performance <strong>of</strong> separation columns since these differ both in their<br />

geometry and separation mechanism. Furthermore, new parameters such as modulation frequency<br />

and modulator temperature have to be optimized [25].<br />

Conventional columns, typically 15–30 m length 0.25–0.32 mm internal diameter 0.1–1 mm<br />

film thickness, are used in the first dimension. This allows application <strong>of</strong> virtually all sample<br />

introduction techniques (split=splitless, on column, LVI-PTV, DMI=DSI, and=or SPME). Stationary<br />

phases commonly used in first-dimension columns are typically 100% dimethylpolysiloxane or (5%<br />

phenylene)-dimethylpolysiloxane. The separation on these nonpolar columns is governed mainly by<br />

analyte volatility. The size <strong>of</strong> columns for second dimension is commonly in a range <strong>of</strong> 0.5–2 m<br />

length 0.1 mm internal diameter 0.1 mm film thickness. More polar stationary phases such<br />

as 35%–50% phenylene–65%–50% dimethylpolysiloxane, polyethylene glycol, carborane, and=or<br />

cyanopropyl–phenyl–dimethylpolysiloxane are employed. Analytes interact with these mediumpolar=polar<br />

phases via various mechanisms such as p–p interactions, hydrogen bonding, etc.,<br />

hence the requirement for different, independent separation principle is met. In most applications,<br />

orthogonality is achieved using nonpolar polar separation mechanisms.<br />

To obtain acceptable separation in both dimensions, a compromise has to be made with regard<br />

to both columns. The linear velocity <strong>of</strong> the carrier gas in the (narrow bore) first-dimension column is<br />

usually rather lower than optimal (about 30 cm=s) while, at the same time, the linear velocity in the<br />

(microbore) second-dimension capillary is relatively high, typically exceeding 100 cm=s. Also when<br />

setting the temperature programming rate, the requirement for obtaining at least four modulations<br />

Injector<br />

Modulator<br />

First column Second column<br />

FIGURE 7.8 GC GC instrument configuration.<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

Detector


Second dimension<br />

First dimension<br />

Modulation<br />

Transformation<br />

Visualization<br />

Second dimension<br />

2D plot 3D plot<br />

First dimension<br />

First dimension<br />

1D chromatogram<br />

(first column outlet)<br />

Raw 2D chromatogram<br />

(second column outlet)<br />

Second dimensional<br />

chromatograms<br />

FIGURE 7.9 Generation and visualization <strong>of</strong> a GC GC chromatogram. (Reproduced from Zrostlikova, J.,<br />

Hajslova, J., and Cajka, T., J. Chromatogr. A, 1019, 173, 2003. With permission.)<br />

over each first-dimension peak (so-called modulation criterion) has to be taken into account. In most<br />

analyses, this is achieved by using programming rates as low as 0.58C–58C=min, which is less than<br />

in conventional 1D-GC [26]. It should be noted, however, that even steeper programming rates (thus<br />

faster GC separation) can be employed (108C–208C=min) in GC GC, which typically results in two<br />

modulations over each first-dimension peak. Under these conditions, the separation accomplished in<br />

the first column might be lost. However, because <strong>of</strong> different activity coefficients on the second<br />

column, the analytes can be completely separated (with higher chromatographic resolution than in<br />

the case <strong>of</strong> 1D-GC) in the second dimension [27,28]. For better tuning <strong>of</strong> the GC GC setup,<br />

systems with a programmable second oven are preferred.<br />

Effective and robust modulation is a key process in the GC GC analysis. Thermal modulation in<br />

a capillary GC can be performed by both heating and cooling. While heated modulators use a thickfilm<br />

modulation capillary to trap subsequent sample fractions eluting from the first column by means<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

Second dimension


<strong>of</strong> stationar y phase focusing (com pounds are released by the temperat ure incre ase), the cryogen ically<br />

cooled modul ators do not use a modulati on capil lary. Inste ad, they trap and focus the sample fractions<br />

eluting from the first column at the front part <strong>of</strong> the seconda ry colum n itself. Initially, moving<br />

heated=cooled modulato rs were used but they exhibi ted relativel y low robustness (frag ile capillary<br />

can be easily broken) . The se shortcomi ngs <strong>of</strong> movi ng modulato rs have bee n overcom e by two-st age<br />

jet modul ators that use a stream <strong>of</strong> nitrogen or carbon dioxide for cooling a short secti on <strong>of</strong> the second<br />

column for trapp ing=focusing <strong>of</strong> the analytes elut ing from the fi rst colum n [29,30] .<br />

In practice, fixed modul ation freque ncy, typically in a range <strong>of</strong> 0.1 –10 Hz is employ ed durin g<br />

the analys is. Under ideal experi ment al condition s, the reten tion time <strong>of</strong> the most retaine d compo und<br />

in the second d imensio n is shorter than a modul ation time. If this is not the case, i.e., analyt es do not<br />

elute in their modul ation cycle, so-called wrap-arou nd, which may cause co-elutio ns, occurs.<br />

Avoidin g this phenom enon can be achiev ed, e.g., by an incre ase <strong>of</strong> the second- dimensi on colum n<br />

temperat ure (if a n indepe ndent ove n is avail able). In any case, optimal funct ion <strong>of</strong> modulato r is<br />

essential for the q uality <strong>of</strong> separa tion and detection proces s.<br />

The fast separa tion on a short and mic robore second- dime nsion column results in very n arrow<br />

peaks with widths <strong>of</strong> 50 –1000 ms at the ba seline. Althoug h fast analogue detectors such as a flame<br />

ionizati on d etector o r electron captur e detect or (E CD) are full y compa tible with fast chromatography<br />

and provi de reliable peak recogni tion, they do not provi de stru ctural informat ion. Coupli ng<br />

GC GC separation with MS detect or resul ts into the three-dim ensional syst em that may contribut e<br />

to the identi fication <strong>of</strong> 2D separa ted peaks and brings a dee per unders tanding <strong>of</strong> stru ctured<br />

chrom atograms [26]. However , convent ional scanning MS detectors are typi cally too slow and do<br />

not provi de reliable spectra an d peak reprod ucti on. At presen t, only time-<strong>of</strong> - flight mass spect rometers<br />

(see Cha pter 10) can acquir e the 50 or more mass spectra per second, whi ch are requi red for<br />

the proper recons truction <strong>of</strong> the chromatogr am and for quanti ficati on in GC GC [35].<br />

7.3.3. 3 Adva ntages <strong>of</strong> GC GC<br />

A nu mber <strong>of</strong> charact eristics <strong>of</strong> GC GC have been reported that documen ts superi ority <strong>of</strong> this<br />

techniqu e over convent ional 1D-GC [26].<br />

High peak capaci ty. The peak c apacity, characteri zed as a maximal numbe r <strong>of</strong> chromatogr aphic<br />

peaks that can be placed side by side into the available separa tion space (chromato gram ), is<br />

signi fica ntly en hanced. Unde r the real-world condition s, the total peak capaci ty in GC GC is rathe r<br />

lower than the calcul ated value due to the imperfect ions in the sample transfer betw een the two<br />

columns; however, it still great ly exc eeds the limits <strong>of</strong> convent ional GC. As an examp le, the meri t in<br />

pesticide residue analys is resultin g from the separa tion powe r is shown in Figure 7.10.<br />

Enh anced sensi tivity . Compar ed to 1D- GC separa tion, pronoun ced imp rovement <strong>of</strong> detection<br />

limits in GC GC syst em is o btained; thanks to compr essing the peak in the modulation capillary<br />

and front part <strong>of</strong> the second colum n (following fast chromatogr aphy avoids band broaden ing <strong>of</strong><br />

focuse d peak s). Furthe rmore, thanks to imp roved separa tion <strong>of</strong> analytes and mat rix interfere nces<br />

(chem ical noise ) in the GC GC system, the signa l to noise ratio is also improved. An e xample is<br />

given in Figure 7 .11 that ill ustrates diff erences in 1D-GC versus GC GC a nalysis <strong>of</strong> limonene.<br />

Struc tured chrom atogra ms. Thanks to compleme ntary separa tion mecha nisms occurr ing in both<br />

columns, the chromatogr ams resultin g from particula r GC GC setup are ordered, i.e., molecules<br />

have thei r de finite locations in the reten tion space based on their stru cture. In the recons tructed 2D<br />

contou r plots, characteri stic patt erns are obtained, in which the members <strong>of</strong> homologi cal seri es<br />

differing in thei r volatility are ordere d along the first-dim ension axis (nonpol ar capillary is typicall y<br />

employe d in first dim ension), whereas the compounds differing by polarity are spread along the<br />

second-dimension axis. The formation <strong>of</strong> clusters <strong>of</strong> the various subgroups <strong>of</strong> compounds in a<br />

GC GC contour plot may be useful for the group type analysis.<br />

Improved identification <strong>of</strong> unknowns. Nontarget screening allows obtaining <strong>of</strong> overview <strong>of</strong> the<br />

sample constituents. This approach consists from: (1) peak finding and deconvolution (algorithm for<br />

ß 2008 by Taylor & Francis Group, LLC.


Time (seconds)<br />

spectrum #<br />

(A)<br />

1st Time (seconds)<br />

2nd Time (seconds)<br />

spectrum #<br />

(B)<br />

250000<br />

200000<br />

150000<br />

100000<br />

50000<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

640<br />

697<br />

recogni zing <strong>of</strong> partly co-el uting peaks in the GC –MS chrom atogram and obtai ning thei r ‘‘ pure ’’<br />

mass spect ra), (2) library searching, and (3) furt her post- processing. Since a large amoun t <strong>of</strong> data<br />

have to be proces sed, automated data proces sing is employed.<br />

7.4 SAMPLE DETECTION<br />

650 660<br />

747 797<br />

2<br />

2<br />

670<br />

847<br />

79 109 185<br />

20000<br />

18000<br />

16000<br />

14000<br />

12000<br />

10000<br />

8000<br />

6000<br />

4000<br />

2000<br />

Time (seconds)<br />

spectrum #<br />

79<br />

71 87<br />

128<br />

1<br />

47<br />

60<br />

662 662 662 662 662 662<br />

0.6 0.8 1 1.2 1.4 1.6<br />

145<br />

500<br />

185<br />

220<br />

60 80 100 120 140 160 180 200 220 240<br />

1000<br />

Library Hit - similarity 727, “Phosphoric acid,<br />

2,2-dichlorovinyldimethylester”<br />

109<br />

500<br />

60<br />

79<br />

93 145 185<br />

220<br />

80 100 120 140 160 180 200 220 240<br />

662 662<br />

1.8 2<br />

32520 32560 32600 32640 32680 32720 32760 32800<br />

79 109 185<br />

Depe nding upon the type <strong>of</strong> food compo unds being measured severa l different detectors are<br />

avail able for this purpose (T able 7 .5), e ach with its own advantages and drawbacks. The following<br />

sections briefly introduce various GC detectors most commonly in use today [32,33].<br />

1000<br />

680<br />

897<br />

650<br />

747<br />

690<br />

947<br />

660<br />

797<br />

1<br />

670<br />

847<br />

Peak true–sample<br />

109<br />

680<br />

897<br />

79 109 186<br />

FIGURE 7.10 Separation <strong>of</strong> dichlorvos (1) in apple extract at 0.01 mg=kg from matrix co-extract<br />

5-(hydroxymethyl)-5-furancarboxaldehyde (2). Plotted are three most abundant ions in the mass spectrum <strong>of</strong><br />

dichlorvos (79, 109, and 185). Chromatogram <strong>of</strong> (A) 1D-GC analysis <strong>of</strong> zoomed section shows the peak<br />

<strong>of</strong> dichlorvos (m=z 185) and matrix interference (m=z 79 and 109); and (B) GC GC analysis (DB-XLB DB-17<br />

columns); matrix interference resolved on medium polar DB-17 column. Data acquired by TOFMS at<br />

acquisition rates 5 spectra=s and 250 spectra=s, respectively.<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

700<br />

997<br />

690<br />

947


Abundance<br />

(A)<br />

410 4<br />

310 4<br />

210 4<br />

110 4<br />

570 590<br />

Retention time (s)<br />

7.4.1 FLAME IONIZATION DETECTOR<br />

S/N = 639 S/N = 19570<br />

610<br />

Flame ionization detector (FID) represents one <strong>of</strong> the most widely used detectors. The effluent from<br />

an analytical column is mixed with hydrogen and air, and is directed into a flame, which breaks<br />

down organic molecules and produces ions. A voltage potential is applied across the gap between<br />

the burner tip and an electrode located just above the flame. The resulting current is then measured<br />

and is proportional to the concentration <strong>of</strong> the components present.<br />

Abundance<br />

(B)<br />

310 4<br />

210 4<br />

110 4<br />

590.8<br />

0.22<br />

593.8<br />

0.22<br />

596.8 1tR (s)<br />

0.22 2tR (s)<br />

FIGURE 7.11 Improvement <strong>of</strong> detectability <strong>of</strong> limonene (m=z 93) isolated from honey headspace by SPME<br />

under the conditions <strong>of</strong> (A) 1D-GC and (B) GC GC (DB-5 ms Supelcowax-10 columns). Data acquired by<br />

TOFMS at acquisition rates <strong>of</strong> 10 spectra=s and 300 spectra=s, respectively. (Cajka, T. et al., J. Sep. Sci., 30,<br />

534, 2007.)<br />

TABLE 7.5<br />

Overview <strong>of</strong> GC Detectors Applicable for the Determination <strong>of</strong> <strong>Food</strong> Components<br />

Detector Selectivity Detectability Linearity<br />

Flame ionization detector (FID) No 2 pg C=s 10 7<br />

Thermal conductivity detector (TCD) No 300 pg=mL 10 4–6<br />

Electron capture detector (ECD) Halogens fg=s 10 4<br />

Nitrogen–phosphorus detector (NPD) N, P fg–pg N, P=s 10 4–7<br />

Halogen-specific detector (XSD) Halogens pg Cl=s 10 4<br />

Thermionic ionization detector (TID) N, P 100 fg N=s, N: 10 5 ,P:10 4<br />

100 fg P=s<br />

Photoionization detector (PID) Aromatics pg 10 6<br />

Flame photometric detector (FPD) S, P pg a<br />

S: 10 3 ,P:10 5<br />

Pulsed flame photometric detector (PFPD) Tuneable for 28 elements pg S=s, S, P: 10 3<br />

100 pg P=s a<br />

Atomic-emission detector (AED) Tuneable for any element pg=s a<br />

10 3–4<br />

Electrolytic conductivity detector (ELCD)<br />

or Hall electrolytic conductivity detector<br />

S, N, halogens pg 10 6<br />

Mass spectrometric detector (MSD) Yes fg–pg 10 4–7<br />

Fourier transform infrared (FTIR) Yes pg 10 2<br />

a The detectability considerably varies among particular elements.<br />

pg, picogram; fg, femtogram.<br />

ß 2008 by Taylor & Francis Group, LLC.


7.4.2 THERMAL CONDUCTIVITY DETECTOR<br />

Thermal conductivity detector (TCD) consists <strong>of</strong> an electrically heated wire or thermistor. The<br />

temperature <strong>of</strong> the sensing element depends on the thermal conductivity <strong>of</strong> the gas flowing around it.<br />

Changes in thermal conductivity cause a temperature rise in the element, which is sensed as a<br />

change in resistance.<br />

7.4.3 ELECTRON CAPTURE DETECTOR<br />

In ECD, the sample is introduced into the detector through an analytical column and passes over a<br />

63 Ni radioactive source emitting b particles, which causes ionization <strong>of</strong> the carrier gas and the<br />

subsequent release <strong>of</strong> electrons. When organic molecules containing electronegative functional<br />

atoms or groups pass by the detector, they capture some <strong>of</strong> the electrons and reduce the current<br />

measured between the electrodes.<br />

7.4.4 NITROGEN–PHOSPHORUS DETECTOR<br />

In nitrogen–phosphorus detector (NPD), a glass bead containing an alkali metal is electrically<br />

heated until electrons are emitted. These electrons are then captured by stable intermediates to<br />

form a hydrogen plasma, which ionizes compounds from the column effluent. A polarizing field<br />

directs these ions to a collector anode creating a current.<br />

7.4.5 FLAME PHOTOMETRIC DETECTOR AND PULSED FLAME PHOTOMETRIC DETECTOR<br />

In flame photometric detector (FPD), a sample is burned in a hydrogen=air flame to produce molecular<br />

products that emit light by means <strong>of</strong> chemiluminescent chemical reactions. The emitted light is then<br />

isolated from background emissions by narrow bandpass wavelength-selective filters and is detected<br />

by a photomultiplier and then amplified. Unfortunately, the detectability <strong>of</strong> the FPD is limited by light<br />

emissions <strong>of</strong> the continuous flame burning products. This disadvantage is eliminated by pulsed flame<br />

photometric detector (PFPD), where a hydrogen=air mixture flows into the FPD so low that a<br />

continuous flame could not be sustained. By inserting a constant ignition source into the gas flow,<br />

the hydrogen=air mixture would ignite, propagate back through a quartz combustor tube to a<br />

constriction in the flow path, extinguish, then refill the detector, ignite, and repeat the cycle.<br />

7.4.6 PHOTO-IONIZATION DETECTOR<br />

In photo-ionization detector (PID), the column effluent is ionized by ultraviolet light and the current<br />

(proportional to the concentrations <strong>of</strong> the ionized material) produced by the ion flow is measured.<br />

7.4.7 ELECTROLYTIC CONDUCTIVITY DETECTOR<br />

In electrolytic conductivity detector (ELCD), compounds eluting from an analytical column are<br />

swept into a nickel reaction tube at the temperature up to 9008C. The components are stripped <strong>of</strong>f<br />

their halogenated atoms and these atoms are carried into a conductivity cell. As the concentrations <strong>of</strong><br />

the halogens change in this cell, the measured conductivity <strong>of</strong> a solution in the cell changes<br />

proportionally.<br />

7.4.8 ATOMIC-EMISSION DETECTOR<br />

In atomic-emission detector (AED), eluted compounds from an analytical column are transported<br />

into a microwave powered plasma (or discharge) cavity where those compounds are destroyed and<br />

their atoms are excited by the energy <strong>of</strong> the plasma. The emitted light by the excited particles is<br />

separated into individual lines via a photodiode array. The individual emission lines are then sorted<br />

ß 2008 by Taylor & Francis Group, LLC.


and produce chromatogr ams co nsisting <strong>of</strong> peaks from eluant s that co ntain only a speci fic element. In<br />

this way, elem ental compo sition can be estimat ed. It shoul d be noted that the inte nsity <strong>of</strong> signa l<br />

large ly varies among the elements and it is relat ively low for oxygen, nitrogen, chlorine, brom ine<br />

while higher sensi tivity is obtai ned for carbon, phospho rus, and sulph ur.<br />

7.4.9 MASS S PECTROMETRIC DETECTOR<br />

The mass spect rome ter (MS) is by far the most powerful an d fle xible <strong>of</strong> the detectors used in the<br />

analys is <strong>of</strong> GC-am enable food compone nts today. The advantage over all GC detectors descri bed<br />

above is a possibil ity to ob tain, in addit ion to selec tive de tection <strong>of</strong> analyt e elut ed at certa in retention<br />

time, also stru ctural infor mation, enabli ng either con firmation <strong>of</strong> targe t compo und or identi ficati on<br />

<strong>of</strong> unknow n speci es. The charact er <strong>of</strong> data obtained largely depends on the type <strong>of</strong> mass analyz er<br />

employe d. The princ iple s <strong>of</strong> this type <strong>of</strong> detection are thoro ughly discussed in Cha pter 10.<br />

7.5 MATRIX EFFECTS<br />

Unde r the real- world condition s, some residues <strong>of</strong> mat rix co-ext ractives u navoidably remain in the<br />

puri fied samp le prepar ed for examinati on by GC analysis. Inaccur ate quanti fication, decreas ed<br />

method ruggedn ess, low analyte detectabil ity, and ev en report ing <strong>of</strong> false positive o r negati ve<br />

results are the most serious matrix- associated probl ems, whic h c an b e e ncountered [3]. The extent<br />

<strong>of</strong> these phenomena depend on a wide range facto rs incl uding samp le compo sition and injectio n<br />

techniqu e empl oyed.<br />

Matr ix-induced chromato graphi c respon se enhancem ent, first descri bed b y Erney et al., is<br />

presuma bly the most discu ssed matrix effect adversely imp acting quanti ficati on accuracy <strong>of</strong> c ertain,<br />

particula rly more polar analytes [34]. Its principle is as follow s: During inje ction <strong>of</strong> particula r<br />

compo unds in neat solve nt, adsorp tion and=or therm o-degr adation <strong>of</strong> susceptibl e analytes on the<br />

active sites (mainly free sil anol groups ) presen t in the inje ction port and in chromatogr aphic colum n<br />

may occur. On this account, the number <strong>of</strong> analyte molecules reaching GC detector is reduced. This<br />

is, however, not the case when a real-world sample is analyzed. Co-injected matrix components tend<br />

to block the active sites in GC system thus reducing the analyte losses and, consequently, enhancing<br />

their signa ls as co mpared to the injectio n in neat solve nt (Figur es 7.12 and 7.13). If these facts are<br />

ignored and calibration standards in solvent only are used for calculation <strong>of</strong> target analytes concentration,<br />

recoveries as high as even several hundred percent might be obtained [3]. It is worth<br />

noticing that hydrophobic, nonpolar substances, such as persistent organochlorine contaminants<br />

(with some exceptions such as DDT that may thermally degrade in a dirty hot injector), are not<br />

prone to these hot injection-related problems.<br />

Repeated injections <strong>of</strong> nonvolatile matrix components, which are gradually deposited in the GC<br />

inlet and=or front part <strong>of</strong> the GC column, can give rise to successive formation <strong>of</strong> new active sites,<br />

which might be responsible for the effect, sometimes called matrix-induced diminishment [36].<br />

Gradual decrease in analyte responses associated with this phenomenon together with distorted peak<br />

shapes (broadening, tailing) and shifting the retention times towards higher values negatively impact<br />

ruggedness, i.e., long-term repeatability <strong>of</strong> analyte peak intensities, shapes, and retention times,<br />

performance characteristic <strong>of</strong> high importance in routine trace analysis [24].<br />

Three basic approaches and their combination should be considered as way to improved quality<br />

assurance [3]: (1) elimination <strong>of</strong> primary causes, (2) optimization <strong>of</strong> calibration strategy enabling<br />

compensation, and (3) optimization <strong>of</strong> injection and separation parameters.<br />

Unfortunately, the first concept <strong>of</strong> the GC system free <strong>of</strong> active sites is in principle hardly<br />

viable—not only because <strong>of</strong> commercial unavailability <strong>of</strong> virtually inert materials stable even under<br />

long-term exposure to high temperatures that typically occur in a GC inlet port, but also due to<br />

impossibility to control formation <strong>of</strong> new active sites from deposited nonvolatile matrix. In this<br />

content, a more conceivable alternative might be based on avoiding sample matrix to be introduced<br />

ß 2008 by Taylor & Francis Group, LLC.


Standard<br />

Sample<br />

C C<br />

Injection<br />

X Liner Y<br />

Transfer onto<br />

the GC column<br />

C – X C – Y<br />

FIGURE 7.12 Illustration <strong>of</strong> the cause <strong>of</strong> matrix-induced chromatographic enhancement effect; (C) number<br />

<strong>of</strong> injected analyte molecules; (X, Y) number <strong>of</strong> free active sites for their adsorption in injector; (*) molecules<br />

<strong>of</strong> analyte in injected sample; (.) portion <strong>of</strong> analyte molecules adsorbed in GC injector; (~)<br />

molecules <strong>of</strong> matrix components in injected sample; (~) portion <strong>of</strong> matrix compounds adsorbed in GC liner;<br />

(C X) < (C Y). (Reproduced from Hajslova, J. and Zrostlikova, J., J. Chromatogr. A, 1000, 181, 2003.<br />

With permission.)<br />

260<br />

240<br />

220<br />

200<br />

180<br />

160<br />

140<br />

120<br />

100<br />

80<br />

60<br />

Time−> 12.20 12.30<br />

(P)<br />

(S)<br />

12.40 12.50<br />

FIGURE 7.13 Matrix-induced enhancement response effect: 1 pg <strong>of</strong> 2-nitronaphthalene (m=z 173) injected in<br />

pure solvent (S) and in purified sample <strong>of</strong> pumpkin seed oil (P). (Reproduced from Dusek, B., Hajslova, J., and<br />

Kocourek, V., J. Chromatogr. A, 982, 127, 2002. With permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.


into the GC syst em. Unfortu nately, again, none <strong>of</strong> the comm on isolati on and=or cleanu p techni ques<br />

are selec tive eno ugh (mainly in the case <strong>of</strong> broad scope methods) to avoid the presen ce <strong>of</strong> residual<br />

samp le compo nents in the analyt ical sample.<br />

Since an effect ive elimin ation <strong>of</strong> the source s <strong>of</strong> the matrix effects is not like ly to occur in<br />

pract ice, their compen sation by using alte rnative cali bration methods is obviously the most feasible<br />

option. Se veral stra tegies are concei vable for this purpos e: (1) addition <strong>of</strong> isotopic ally labeled<br />

internal standards, (2) the use <strong>of</strong> stand ards addition method, (3) the use <strong>of</strong> mat rix-mat ched<br />

stand ards, an d (4) the use <strong>of</strong> analyt e protectant s (introduce d only recent ly). The main disad vantages=requi<br />

rements <strong>of</strong> these methods are summ arized in Tab le 7.6 [37].<br />

As regards analyt e protec tants , these compound s are capabl e to strongly inte ract wi th acti ve<br />

sites in the GC syst em, thus decreas ing de gradation an d adsorp tion <strong>of</strong> targe t analyt es [37]. The same<br />

amoun t <strong>of</strong> the analyte protectant s is added to both samp le extra cts and mat rix-free standards, which<br />

results in maximi zation and equ alization <strong>of</strong> the matrix- induced respon se enh ancement effect and<br />

avoids overes timati on <strong>of</strong> results, which can occur with stand ards in neat solve nt [38]. A wide range<br />

<strong>of</strong> compo unds containing mul tiple polar=ionizable groups such as vario us po lyols and their deriv atives,<br />

carboxy lic a cids, amino acids , and deriv atives <strong>of</strong> basic nitrogen contai ning h eterocycles have<br />

been exp erimenta lly evalua ted as analyte prote ctant s. In a study con cerned with the analys is<br />

<strong>of</strong> mul tiple pesticide resi dues using hot splitless injection , a mixture <strong>of</strong> 3-ethoxyp ropane-1,2-di ol,<br />

L-gulo nic acid g-lact one, and D-gluc itol (in aceton itrile extra cts) was found to most effect ively cover<br />

a wide volatility range <strong>of</strong> GC-amenable analytes [38]. This analyte protectant mixture worked also<br />

very well in the multi residue GC analysis <strong>of</strong> pesticides using DMI [15], which has more active glass<br />

surfa ces that need effective deacti vation d uring each injectio n. Figure 7.14 show s chrom atograms<br />

TABLE 7.6<br />

Quantification Strategies and Their Critical Assessment<br />

Method Comments<br />

Standard additions Extra labor effort required for preparation<br />

Inaccuracies may occur because the matrix effect is concentration dependent<br />

Isotopically labeled standards Only a limited number <strong>of</strong> certified isotopically labeled standards is currently<br />

commercially available; not available in wide scope methods<br />

Restriction in the use <strong>of</strong> detection techniques other than mass spectrometry<br />

Additional labor=time burden <strong>of</strong> developing analytical conditions for so many<br />

more compounds<br />

Matrix-matched standards Need for enough blank matrix (ideally identical as the samples) and its longterm<br />

storage<br />

Extra time, labor, and expense for preparing the blank extracts for calibration<br />

standards needed<br />

Greater amount <strong>of</strong> matrix material injected onto the column in a sequence,<br />

which leads to greater requirements for GC maintenance<br />

Greater potential for analyte degradation in the matrix solution<br />

Analyte protectants Following criteria have to be met for analyte protectants:<br />

Unreactiveness with analytes in solution and the GC system<br />

Sufficient stability under the GC conditions (no thermodegradation,<br />

re-arrangement, etc.)<br />

No deterioration <strong>of</strong> the GC column or detector performance (e.g., due to<br />

accumulation)<br />

No interference with the detection process <strong>of</strong> analytes (i.e., low intensity, low<br />

mass ions in its MS spectra)<br />

Good availability, low cost, no toxicity<br />

Good solubility in the solvent <strong>of</strong> interest<br />

ß 2008 by Taylor & Francis Group, LLC.


CI<br />

CI<br />

CI<br />

CI<br />

CI<br />

(A) Lindane<br />

(B) Phosalone<br />

OH<br />

(C) o-Phenylphenol<br />

A) Without analyte protectants<br />

CI<br />

CI<br />

O<br />

O O<br />

O<br />

N<br />

S<br />

S P<br />

1.12x<br />

3.98x<br />

10.6x<br />

for three pesticide s lindane, phosal one, and o-phenyl phenol obtained by hot splitl ess inje ction in<br />

solve nt a nd matrix-mat ched stand ards wi thout and with the above mixture <strong>of</strong> analyte prote ctants,<br />

demon strating dram atic improvem ent in peak shapes an d intensit ies wi th the use <strong>of</strong> analyt e<br />

prote ctants [38].<br />

Bes ides the above compe nsation approac hes, also careful optimizati on <strong>of</strong> injectio n and separa tion<br />

param eters (includin g the choice <strong>of</strong> suitable inje ction technique, temperat ure, and volume; liner size<br />

and its desig n; solvent expansi on volum e; column fl ow rate; colum n dimensi ons) can reduce to some<br />

extent the numbe r <strong>of</strong> active sites avail able for interacti on (lower surface area) and its durat ion [37].<br />

7.6 FOOD ANALYSIS APPLICATIONS<br />

Injection in:<br />

Matrix<br />

Solvent<br />

Since a large range <strong>of</strong> food co mpounds are (semi)vo latile co mpounds, the GC is widely used for their<br />

deter minati on. The ch oice <strong>of</strong> an optimal GC setup depends on the requireme nts for the performanc e<br />

charact eristics <strong>of</strong> methods used, cost, speed, and several other factors. In Tab le 7.7, the curren t GC<br />

methods for several groups <strong>of</strong> food constituents are summarized with special attention paid to<br />

applicability <strong>of</strong> recent advances in the field <strong>of</strong> this technique for their analysis [39–43].<br />

2.16x<br />

B) With analyte protectants<br />

FIGURE 7.14 Comparison <strong>of</strong> peak shapes and intensities <strong>of</strong> 100 ng=mL lindane (m=z 219), phosalone (m=z<br />

182), and o-phenylphenol (m=z 170) obtained by injection in matrix (mixed fruit extract) and solvent (MeCN)<br />

solutions (A) without and (B) with the addition <strong>of</strong> analyte protectants (3-ethoxypropane-1,2-diol, L-gulonic acid<br />

g-lactone, and D-glucitol at 10, 1, and 1 mg=mL in the injected sample, respectively). (Reproduced from<br />

Mastovska, K., Lehotay, S.J., and Anastassiades M., Anal. Chem., 77, 8129, 2005. With permission.)<br />

ß 2008 by Taylor & Francis Group, LLC.


TABLE 7.7<br />

Overview <strong>of</strong> Typical Conditions <strong>of</strong> Most Common Applications Employing GC<br />

for Separation<br />

Natural<br />

substances<br />

<strong>Food</strong><br />

contaminants<br />

Lipids (fatty acids,<br />

mostly derivatized)<br />

Aroma and flavor<br />

compounds<br />

ß 2008 by Taylor & Francis Group, LLC.<br />

Injection Typical GC Column Phase Detection<br />

Split Polyethylene glycol<br />

70% Cyanopropyl-phenyl–30%<br />

dimethylpolysiloxane<br />

Split, splitless, SPME 5% Diphenyl–95%<br />

dimethylpolysiloxane<br />

Polyethylene glycol<br />

FID, MS<br />

MS, FID<br />

Modern pesticides Splitless, PTV, 5% Diphenyl–95%<br />

MS, ECD,<br />

DSI=DMI, SPME dimethylpolysiloxane<br />

NPD, FPD,<br />

50% Diphenyl–50%<br />

PFPD, AED,<br />

dimethylpolysiloxane<br />

6% Cyanopropyl-phenyl–94%<br />

dimethylpolysiloxane<br />

35% Diphenyl–65%<br />

dimethylpolysiloxane<br />

PID, ELCD<br />

Polychlorinated Splitless, PTV 5% Diphenyl–95%<br />

ECD, MS<br />

biphenyls<br />

dimethylpolysiloxane<br />

50% Diphenyl–50%<br />

dimethylpolysiloxane<br />

Polychlorinated Splitless, PTV 5% Diphenyl–95%<br />

MS<br />

dibenzo-p-dioxins<br />

dimethylpolysiloxane<br />

and dibenz<strong>of</strong>urans<br />

50% Cyanopropyl-phenyl–50%<br />

dimethylpolysiloxane<br />

other special phases<br />

Brominated flame Splitless, PTV 100% Dimethylpolysiloxane MS, ECD<br />

retardants<br />

5% Diphenyl–95%<br />

dimethylpolysiloxane<br />

14% Cyanopropyl-phenyl–86%<br />

dimethylpolysiloxane<br />

Polycyclic aromatic Splitless, PTV 5% Diphenyl–95%<br />

MS, PID<br />

hydrocarbons<br />

dimethylpolysiloxane<br />

50% Diphenyl–50%<br />

dimethylpolysiloxane<br />

Veterinary drugs Splitless 100% Dimethylpolysiloxane MS<br />

(derivatized)<br />

5% Diphenyl–95%<br />

dimethylpolysiloxane<br />

Mycotoxins Splitless 5% Diphenyl–95%<br />

MS, ECD<br />

(derivatized)<br />

dimethylpolysiloxane<br />

Acrylamide Splitless, PTV, DSI 5% Diphenyl–95%<br />

MS (both<br />

dimethylpolysiloxane<br />

forms), ECD<br />

(derivatized form)<br />

(derivatized<br />

Polyethylene glycol<br />

(nonderivatized form)<br />

form)<br />

Chloropropanols Splitless, PTV 5% Diphenyl–95%<br />

MS<br />

(derivatized)<br />

dimethylpolysiloxane<br />

Heterocyclic amines Splitless 5% Diphenyl–95%<br />

MS<br />

(derivatized)<br />

dimethylpolysiloxane<br />

50% diphenyl–50%<br />

dimethylpolysiloxane<br />

(continued )


TABLE 7.7 (continued)<br />

Overview <strong>of</strong> Typical Conditions <strong>of</strong> Most Common Applications Employing GC<br />

for Separation<br />

<strong>Food</strong><br />

contaminants<br />

7.7 CONCLUSION AND FUTURE TRENDS<br />

After severa l decades <strong>of</strong> GC on the mark et, the techno logy and its appli cations have improved<br />

signi fi cantly. Despit e that they have no t reached an end to the p ossibilities, which are con ceivable.<br />

The re are alwa ys new challenges for further imp rovements <strong>of</strong> performanc e and extend ing the scope<br />

<strong>of</strong> applicati ons. Con sidering future uses o f GC in food analys is, the mai n trend fores een is<br />

succes sive replacemen t <strong>of</strong> conventional detection approac hes by MSD s employin g vario us types<br />

<strong>of</strong> mass analyz ers. Fast GC –MS can be introdu ced in many applicati ons; thanks to the spectral<br />

resol ution <strong>of</strong> co-el uting compo unds that can compe nsate for low er GC resolution obtai ned in h ighspeed<br />

separa tions.<br />

ACKNOWLEDGMENTS<br />

This chapte r was financia lly suppor ted by the Mini stry <strong>of</strong> Edu cation, Youth and Sp orts <strong>of</strong> the Czech<br />

Rep ublic (project MSM 604 6137305) .<br />

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Splitless, SPME 5% Diphenyl–95%<br />

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MS, ECD<br />

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