Determination of metals in cow's milk by flame atomic absorption ...
Determination of metals in cow's milk by flame atomic absorption ...
Determination of metals in cow's milk by flame atomic absorption ...
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Czech J. Anim. Sci., 48, 2003 (11): 481–486<br />
Orig<strong>in</strong>al Paper<br />
<strong>Determ<strong>in</strong>ation</strong> <strong>of</strong> <strong>metals</strong> <strong>in</strong> cow’s <strong>milk</strong> <strong>by</strong> <strong>flame</strong><br />
<strong>atomic</strong> <strong>absorption</strong> spectrophotometry<br />
M. SIKIRIĆ 1 , N. BRAJENOVIĆ 1 , I. PAVLOVIĆ 2 , J. L. HAVRANEK 2 , N. PLAVLJANIĆ 2<br />
1 Ruđer Bošković Institute, Zagreb, Croatia<br />
2 Faculty <strong>of</strong> Agriculture, University <strong>of</strong> Zagreb, Zagreb, Croatia<br />
ABSTRACT: e essential (Ca, Cu, Fe, Mg, Mn, Zn) and toxic <strong>metals</strong> (Pb and Cd) were determ<strong>in</strong>ed <strong>by</strong> <strong>flame</strong><br />
<strong>atomic</strong> <strong>absorption</strong> spectrophotometry (FA-AAS) <strong>in</strong> raw cow’s <strong>milk</strong>. Milk was sampled four times <strong>in</strong> March 2000<br />
on fifteen farms near Križ <strong>in</strong> the Zagreb region from bulk <strong>milk</strong> directly <strong>in</strong>to plastic bottles (to avoid contam<strong>in</strong>ation).<br />
e raw cow’s <strong>milk</strong> samples were digested <strong>in</strong> an MLS-1200 Mega Microwave Digestion System with MDR<br />
Technology, and the <strong>metals</strong> were determ<strong>in</strong>ed directly <strong>by</strong> FA-AAS <strong>in</strong> the solutions <strong>of</strong> digested samples. Statistical<br />
analyses were performed us<strong>in</strong>g statistical s<strong>of</strong>tware SAS v. 8.0. Contents <strong>of</strong> essential m<strong>in</strong>erals (Ca, Cu, Fe, Mg, Mn,<br />
Zn) <strong>in</strong> <strong>milk</strong> from Croatian farms are on the normal levels <strong>in</strong> comparison with the data from other countries. e<br />
level <strong>of</strong> toxic <strong>metals</strong> (Pb and Cd) was lower than the tolerance level def<strong>in</strong>ed <strong>by</strong> Croatian regulations (Pb < 100 µg/l<br />
and Cd < 10 µg/l).<br />
Keywords: lead; cadmium; copper; iron; manganese; magnesium; calcium; raw cow’s <strong>milk</strong>; <strong>flame</strong> <strong>atomic</strong> <strong>absorption</strong><br />
spectrophotometry<br />
Increased awareness <strong>of</strong> the <strong>in</strong>fluence <strong>of</strong> diets on<br />
human health has prompted producers to produce<br />
food <strong>of</strong> higher quality, rich <strong>in</strong> nutrients and nutraceuticals,<br />
<strong>in</strong> environmentally friendly manner.<br />
On the other hand, raw materials for food production<br />
are gett<strong>in</strong>g poor <strong>in</strong> essential m<strong>in</strong>erals and<br />
vitam<strong>in</strong>s at the same time.<br />
Milk and dairy products have been recognized<br />
all over the world for a long time as good for their<br />
sensory properties, but also for their beneficial <strong>in</strong>fluence<br />
on human health (Steijns, 2001). On the<br />
other hand, <strong>milk</strong> is an expensive raw material produced<br />
<strong>by</strong> animals (Boland et al., 2001). To produce<br />
<strong>milk</strong> or to make its products <strong>of</strong> good quality and to<br />
reduce their price, a good raw material is needed.<br />
erefore constant control <strong>of</strong> raw <strong>milk</strong> bought<br />
from farms is necessary. Milk should be controlled<br />
not only for fat and prote<strong>in</strong>s as it is usual, but also<br />
for m<strong>in</strong>eral content whenever possible.<br />
Milk is known as an excellent source <strong>of</strong> Ca, and<br />
it can supply moderate amounts <strong>of</strong> Mg, smaller<br />
amounts <strong>of</strong> Zn and very small amounts <strong>of</strong> Fe<br />
and Cu (Levy et al., 1985; Pennigton et al., 1987,<br />
1995a,b). erefore the essential <strong>metals</strong> are <strong>in</strong>terest<strong>in</strong>g<br />
for determ<strong>in</strong>ation <strong>of</strong> their adequate daily<br />
<strong>in</strong>take <strong>by</strong> the organism. On the other hand, due<br />
to the grow<strong>in</strong>g environmental pollution it is also<br />
necessary to determ<strong>in</strong>e and monitor the levels <strong>of</strong><br />
toxic <strong>metals</strong> <strong>in</strong> <strong>milk</strong>, such as lead and cadmium,<br />
because they can significantly <strong>in</strong>fluence the human<br />
and animal health (Steijns, 2001).<br />
e most frequently used technique to determ<strong>in</strong>e<br />
<strong>metals</strong> <strong>in</strong> food and biological materials is<br />
<strong>atomic</strong> <strong>absorption</strong> spectrophotometry (AAS). If<br />
the concentrations <strong>of</strong> <strong>metals</strong> are high enough, AAS<br />
determ<strong>in</strong>ations are usually done <strong>by</strong> <strong>flame</strong> <strong>atomic</strong><br />
<strong>absorption</strong> spectrophotometry (FA-AAS). When<br />
the concentrations <strong>of</strong> <strong>metals</strong> are low, electrothermal<br />
<strong>atomic</strong> <strong>absorption</strong> spectrophotometry (EA-AAS) is<br />
applied. Both techniques should give the same<br />
results if the concentration <strong>of</strong> <strong>metals</strong> is above the<br />
detection limit <strong>of</strong> FA-AAS (Jorhem, 1993).<br />
Because <strong>of</strong> low <strong>in</strong>dustrial production Croatia has<br />
a unique opportunity to produce <strong>milk</strong> rich <strong>in</strong> nutritional<br />
elements and with very low levels <strong>of</strong> toxic<br />
substances at the same time. In order to determ<strong>in</strong>e<br />
481
Orig<strong>in</strong>al Paper Czech J. Anim. Sci., 48, 2003 (11): 481–486<br />
the quality <strong>of</strong> raw material bought <strong>by</strong> the Croatian<br />
dairy <strong>in</strong>dustry one-month research was conducted<br />
on 15 family farms <strong>in</strong> the region <strong>of</strong> Ivanic grad, the<br />
region <strong>of</strong> biggest <strong>milk</strong> producers <strong>in</strong> Croatia. Our<br />
attention was focused on the m<strong>in</strong>eral composition<br />
<strong>of</strong> <strong>milk</strong>.<br />
MATERIAL AND METHODS<br />
Sampl<strong>in</strong>g strategy. Samples <strong>of</strong> raw cow’s <strong>milk</strong><br />
were collected four times <strong>in</strong> March 2000 from<br />
fifteen farms located near Križ <strong>in</strong> the Zagreb region.<br />
e cows on each farm were fed dry hay and<br />
m<strong>in</strong>eral premixes and drank water from the pump.<br />
Raw <strong>milk</strong> was sampled from the bulk <strong>milk</strong> <strong>of</strong> the<br />
farms directly <strong>in</strong>to carefully washed plastic bottles<br />
because <strong>of</strong> the relatively great possibility <strong>of</strong> sample<br />
contam<strong>in</strong>ation, especially <strong>by</strong> lead and cadmium.<br />
Precautions aga<strong>in</strong>st contam<strong>in</strong>ation. All chemicals<br />
were <strong>of</strong> the highest available purity. Deionised<br />
water was used. e laboratory ware was cleaned<br />
with chromosulphuric acid and r<strong>in</strong>sed with deionised<br />
water. e laboratory ware was dipped <strong>in</strong><br />
10% HNO 3<br />
for 24 h, r<strong>in</strong>sed with deionised water,<br />
dipped <strong>in</strong> 3% EDTA solution for 24 h and r<strong>in</strong>sed<br />
with deionised water aga<strong>in</strong>.<br />
Anakytical procedure. e fat and prote<strong>in</strong> content<br />
(%) was determ<strong>in</strong>ed on Bently 150 Infrared<br />
<strong>milk</strong> analyser.<br />
To determ<strong>in</strong>e the concentrations <strong>of</strong> <strong>metals</strong><br />
chemicals <strong>of</strong> the highest available purity were<br />
used. HNO 3<br />
(Riedel) was used for the dilution<br />
and m<strong>in</strong>eralization <strong>of</strong> raw <strong>milk</strong> samples, H 2<br />
O 2<br />
(9.791 mol/dm 3 , Riedel) was used for digestion<br />
<strong>of</strong> all <strong>milk</strong> samples. Lead nitrate (3.019 × 10 –3<br />
mol/dm 3 , Merck) and cadmium nitrate (4.230<br />
× 10 –3 mol/dm 3 , Merck) solutions were used as<br />
calibration standards. All solutions were prepared<br />
with deionised water.<br />
e <strong>metals</strong> (calcium, copper, iron, magnesium,<br />
manganese, z<strong>in</strong>c, lead and cadmium) were analysed<br />
<strong>by</strong> FA-AAS <strong>in</strong> a total <strong>of</strong> 60 <strong>milk</strong> samples. To<br />
elim<strong>in</strong>ate the organic part <strong>of</strong> <strong>milk</strong>, 0.500 g <strong>of</strong> raw<br />
cow’s <strong>milk</strong> was treated with 6 ml <strong>of</strong> 65% HNO 3<br />
and 1 ml 30% H 2<br />
O 2<br />
, mixed and digested <strong>in</strong> an<br />
MLS-1200 Mega Microwave Digestion System<br />
with MDR Technology. Lead and cadmium were<br />
determ<strong>in</strong>ed with ammonium salts pyrrolid<strong>in</strong>e-1-<br />
dithiocarboxylic acid (APDC) <strong>in</strong>to methyl-isobutyl<br />
ketone <strong>by</strong> FA-AAS. e other <strong>in</strong>vestigated <strong>metals</strong><br />
were determ<strong>in</strong>ed directly <strong>by</strong> FA-AAS.<br />
Instrumentation. PU 9100X FA-AAS equipped<br />
with Epson FX-850 pr<strong>in</strong>ter was used. e <strong>in</strong>strument<br />
was controlled <strong>by</strong> Philips P 3120 PC. e air/<br />
acetylene <strong>flame</strong> was used for the analysis <strong>of</strong> <strong>metals</strong>.<br />
Instrumental conditions for the determ<strong>in</strong>ations <strong>of</strong><br />
<strong>metals</strong> <strong>in</strong> raw cow’s <strong>milk</strong> are given <strong>in</strong> Table 1.<br />
Statistics. Data were analysed <strong>by</strong> General L<strong>in</strong>ear<br />
Models procedure. Mean differences were separated<br />
<strong>by</strong> Duncan’s Multiple Range Test. e level<br />
<strong>of</strong> significance was set at P < 0.05. All analyses were<br />
performed us<strong>in</strong>g statistical s<strong>of</strong>tware SAS v. 8.0.<br />
RESULTS<br />
Average m<strong>in</strong>eral concentration <strong>of</strong> raw cow’s <strong>milk</strong> is<br />
shown <strong>in</strong> Figure 1. e results <strong>of</strong> ANOVA are summarized<br />
<strong>in</strong> Table 2. Significant correlations between<br />
the <strong>in</strong>vestigated parameters are shown <strong>in</strong> Figure 2.<br />
Fat and prote<strong>in</strong><br />
In the period <strong>of</strong> <strong>in</strong>vestigations fat content <strong>in</strong> raw<br />
cow’s <strong>milk</strong> from 15 different farms was significantly<br />
different, rang<strong>in</strong>g from 2.55 to 4.62%. Similar results<br />
were obta<strong>in</strong>ed for prote<strong>in</strong> content that ranged<br />
from 2.81 to 4.1%. e correlation between fat and<br />
prote<strong>in</strong> content was not statistically significant.<br />
Calcium and magnesium<br />
Differences between farms were significant<br />
for calcium content, rang<strong>in</strong>g from 1 125.76 to<br />
2 019.04 mg/kg, but not for magnesium content<br />
136.02–196.67 mg/kg. Calcium content correlated<br />
with fat content (R = 0.647).<br />
Iron, z<strong>in</strong>c, copper and manganese<br />
Iron, z<strong>in</strong>c, copper and manganese contents <strong>in</strong><br />
<strong>milk</strong> from different farms were statistically different.<br />
Relatively high coefficients <strong>of</strong> correlation<br />
<strong>of</strong> manganese and copper with the other three<br />
m<strong>in</strong>erals were obta<strong>in</strong>ed (Mn – Fe: R = 0.641, Mn<br />
– Zn: R = 0.731, Mn – Cu: R = 0.618, Cu – Fe:<br />
R = 0.613, Cu – Zn: R = 0.629) while the contents<br />
<strong>of</strong> iron and z<strong>in</strong>c were not so highly correlated. In<br />
addition, correlations existed between copper and<br />
calcium content (R = 0.629) as well as between<br />
482
Czech J. Anim. Sci., 48, 2003 (11): 481–486<br />
Orig<strong>in</strong>al Paper<br />
Table 1. Instrumental conditions for lead, cadmium, calcium, copper, iron, manganese, magnesium and z<strong>in</strong>c determ<strong>in</strong>ation <strong>in</strong> raw cow’s <strong>milk</strong> <strong>by</strong> FA-AAS<br />
Lead Cadmium Calcium Copper Iron Manganese Magnesium Z<strong>in</strong>c<br />
Primary wavelength (nm) 217.0 228.8 422.7 324.8 248.3 279.5 285.2 213.9<br />
Band-pass (nm) 0.5 0.5 0.5 0.5 0.2 0.5 0.5 0.5<br />
Injection volume (ml) 1 1 1 1 1 1 1 1<br />
Flame type air/acetylene<br />
Fuel flow rate (l/m<strong>in</strong>) 0.9–1.2 1.0–1.3 0.9–1.2 0.8–1.1 0.8–1.0 0.9–1.2 0.9–1.2 0.9–1.2<br />
Sensitivity (mg/l) 0.10 0.032 0.09 0.041 0.060 0.029 0.003 0.013<br />
Table 2. ANOVA summary <strong>of</strong> the farm effect on m<strong>in</strong>eral levels <strong>in</strong> raw cow’s <strong>milk</strong>. Means with the same letter are not significantly different<br />
Prote<strong>in</strong> Fat Ca Mg Fe Zn Cu Mn Pb Cd<br />
P
Orig<strong>in</strong>al Paper Czech J. Anim. Sci., 48, 2003 (11): 481–486<br />
a) Prote<strong>in</strong> b)<br />
(%)<br />
Fat<br />
6<br />
5<br />
4<br />
(mg/kg)<br />
2000<br />
1500<br />
Ca<br />
Mg<br />
3<br />
1000<br />
2<br />
1<br />
500<br />
0<br />
I<br />
II III IV V VI VIIVIIIIX X XI XIIXIIIXIVXV<br />
Farm<br />
0<br />
I<br />
II III IV V VI VIIVIIIIX X XI XIIXIIIXIVXV<br />
Farm<br />
c) d)<br />
Fe<br />
(mg/kg)<br />
Zn<br />
0.8<br />
Cu<br />
Mn<br />
0.6<br />
0.4<br />
0.2<br />
(µg/kg)<br />
60<br />
40<br />
20<br />
Pb<br />
Cd<br />
0.0<br />
I<br />
II III IV V VI VIIVIIIIX X XI XIIXIIIXIVXV<br />
Farm<br />
Figure 1. Composition <strong>of</strong> raw cow’s <strong>milk</strong> from different farms: a) prote<strong>in</strong> and fat; b) Ca and Mg; c) Fe, Zn, Cu<br />
and Mn; d) Pb and Cd<br />
0<br />
I<br />
II III IV V VI VIIVIIIIX X XI XIIXIIIXIVXV<br />
Farm<br />
prote<strong>in</strong> content and z<strong>in</strong>c (R = 0.669), copper (R =<br />
0.656) and manganese (R = 0.630).<br />
Lead and cadmium<br />
Both lead and cadmium contents <strong>in</strong> <strong>milk</strong> from<br />
different farms were statistically different. No correlation<br />
was obta<strong>in</strong>ed between these m<strong>in</strong>erals and<br />
other <strong>in</strong>vestigated parameters.<br />
DISSCUSION<br />
e concentrations <strong>of</strong> different essential m<strong>in</strong>erals<br />
<strong>in</strong> <strong>milk</strong> from 15 farms <strong>in</strong>cluded <strong>in</strong> this <strong>in</strong>vestigation<br />
can be arranged <strong>in</strong> the sequence Ca > Mg ><br />
Zn > Cu > Fe > Mn. is sequence is similar to<br />
that obta<strong>in</strong>ed <strong>by</strong> Rodríguez et al. (1999), the only<br />
difference be<strong>in</strong>g the sequence <strong>of</strong> Cu and Fe.<br />
It is known that the metal concentration <strong>in</strong> <strong>milk</strong><br />
can vary due the factors <strong>in</strong>fluenc<strong>in</strong>g its secretion<br />
from the mammary gland, such as breed <strong>of</strong> the animal,<br />
season <strong>of</strong> the year, feed<strong>in</strong>g and factors related<br />
Table 3. Average m<strong>in</strong>eral composition <strong>of</strong> raw cow’s <strong>milk</strong> from different countries<br />
Country Ca (mg/kg) Mg (mg/kg) Fe (mg/kg) Cu (mg/kg) Zn (mg/kg) References<br />
Italy 0.65 0.21 3.82<br />
Spa<strong>in</strong> 1 251 ± 48 116 ± 3 0.46 ± 0.10 0.16 ± 0.02 3.70 ± 0.22<br />
Pakistan 0.60 0.45 4.20<br />
484<br />
Del Petere, Di<br />
Stanislao (1984)<br />
Zuerera-Cosano<br />
et al. (1994)<br />
Bano et al.<br />
(1985)<br />
Croatia 1 403.94 ± 322.33 165.01 ± 37.97 0.13 ± 0.02 0.38 ± 0.12 0.51 ± 0.16 this paper
Czech J. Anim. Sci., 48, 2003 (11): 481–486<br />
Orig<strong>in</strong>al Paper<br />
a) b)<br />
1.0<br />
Zn<br />
Cu<br />
0.8 Mn<br />
(mg/kg)<br />
mg kg -1<br />
0.6<br />
0.4<br />
0.2<br />
0.06<br />
0.04<br />
0.02<br />
0.00<br />
2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4<br />
mg<br />
(mg/kg)<br />
kg -1<br />
2500 Ca<br />
2000<br />
1500<br />
1000<br />
500<br />
0<br />
1 2 3 4 5 6 7<br />
Prote<strong>in</strong> (%) Fat (%)<br />
c) d)<br />
2500<br />
Ca<br />
Fe<br />
2000 Zn<br />
mg (mg/kg)<br />
-1<br />
1500<br />
1000<br />
1.0<br />
0.8<br />
0.6<br />
0.4<br />
0.2<br />
0.0<br />
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8<br />
Cu (mg/kg)<br />
(mg/kg)<br />
mg kg -1<br />
1.0 Fe<br />
Zn<br />
0.8 Cu<br />
0.6<br />
0.4<br />
0.2<br />
0.0<br />
0.02 0.03 0.04 0.05 0.06 0.07<br />
Mn (mg/kg)<br />
Figure 2. Correlations between: a) Zn, Cu, Mn and prote<strong>in</strong>; b) Ca and fat; c) Ca, Fe, Zn and Cu; d) Fe, Zn, Cu<br />
and Mn <strong>in</strong> raw cow’s <strong>milk</strong> from different farms<br />
to animal handl<strong>in</strong>g <strong>by</strong> humans (Moreno-Rojas et<br />
al., 1993; Zurera-Cosano et al., 1994). In this study<br />
the animals on the farms were <strong>of</strong> the same breed,<br />
samples were taken <strong>in</strong> a relatively short period, cows<br />
were fed the same concentrate but different dry hay.<br />
erefore the statistically significant differences <strong>in</strong><br />
the content <strong>of</strong> essential m<strong>in</strong>erals between the farms<br />
can be ascribed to different dry hays. Lead and cadmium<br />
are toxic m<strong>in</strong>erals <strong>of</strong>ten associated with traffic<br />
pollution, therefore variations <strong>of</strong> their levels <strong>in</strong> <strong>milk</strong><br />
from different farms are likely due to the location<br />
<strong>of</strong> meadows <strong>in</strong> relation to roads. Tolerance limits <strong>of</strong><br />
these two toxic <strong>metals</strong> accord<strong>in</strong>g to Croatian legislation<br />
are: Pb < 100 µg/l, Cd < 10 µg/l (Narodne<br />
Nov<strong>in</strong>e, 1994). Lead and cadmium levels <strong>in</strong> <strong>milk</strong><br />
from all <strong>in</strong>vestigated farms were below these limits.<br />
In comparison with the average m<strong>in</strong>eral composition<br />
<strong>of</strong> raw <strong>milk</strong> obta<strong>in</strong>ed <strong>by</strong> <strong>in</strong>vestigations <strong>in</strong> Italy<br />
(Del Petre and Di Stanislao, 1984), Spa<strong>in</strong> (Zuerera-<br />
Cosano et al., 1994) and Pakistan (Bano et al.,<br />
1985), <strong>milk</strong> from Croatian farms has more Ca and<br />
Mg, similar content <strong>of</strong> Cu and lower content <strong>of</strong> Fe<br />
and Zn (Table 3). However, it should be noted that<br />
deviations are much larger <strong>in</strong> our <strong>in</strong>vestigation.<br />
Relatively low correlation coefficients are <strong>in</strong> accordance<br />
with previous studies (Rodríguez et al.,<br />
1999). is was expla<strong>in</strong>ed <strong>by</strong> the relatively narrow<br />
range <strong>of</strong> metal concentrations found <strong>in</strong> certa<strong>in</strong><br />
types <strong>of</strong> <strong>milk</strong>.<br />
CONCLUSIONS<br />
Contents <strong>of</strong> essential m<strong>in</strong>erals (Ca, Mg, Fe, Zn.<br />
Cu, Mn) <strong>in</strong> <strong>milk</strong> from Croatian farms are on the<br />
normal levels <strong>in</strong> comparison with the data from<br />
other countries. e statistically significant difference<br />
<strong>in</strong> their contents <strong>in</strong> <strong>milk</strong> obta<strong>in</strong>ed from<br />
different farms implies the necessity <strong>of</strong> controll<strong>in</strong>g<br />
m<strong>in</strong>eral levels <strong>in</strong> <strong>milk</strong> <strong>by</strong> the dairy <strong>in</strong>dustry.<br />
Lead and cadmium levels <strong>in</strong> <strong>milk</strong> from all <strong>in</strong>vestigated<br />
farms are below the limits as def<strong>in</strong>ed <strong>by</strong><br />
the Croatian legislation, <strong>in</strong>dicat<strong>in</strong>g a possibility <strong>of</strong><br />
produc<strong>in</strong>g “organic” products.<br />
485
Orig<strong>in</strong>al Paper Czech J. Anim. Sci., 48, 2003 (11): 481–486<br />
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Received: 03–01–21<br />
Accepted after corrections:03–10–15<br />
ABSTRAKT<br />
Stanovení obsahu kovů v kravském mléce pomocí plamenové atomové absorpční spektr<strong>of</strong>ometrie<br />
Obsahy základních kovů (Ca, Cu, Fe, Mg, Mn, Zn) a toxických kovů (Pb a Cd) v syrovém kravském mléce <strong>by</strong>ly<br />
stanoveny plamenovou atomovou absorpční spektr<strong>of</strong>otometrií (FA-AAS). Vzorky mléka <strong>by</strong>ly odebrány čtyřikrát<br />
v březnu v roce 2000 na 15 farmách poblíž Križe v záhřebské oblasti ze směsného mléka přímo do plastových lahví<br />
(a<strong>by</strong> se předešlo kontam<strong>in</strong>aci). Vzorky syrového kravského mléka <strong>by</strong>ly podrobeny m<strong>in</strong>eralizaci v mikrovlnném<br />
digesčním systému MLS-1200 Mega pomocí technologie MDR; obsahy kovů <strong>by</strong>ly stanoveny přímo pomocí FA-AAS<br />
v roztocích vzorků, které prošly m<strong>in</strong>eralizací. Ke statistickým analýzám <strong>by</strong>l použit statistický s<strong>of</strong>tware SAS v. 8.0.<br />
Obsahy základních kovů (Ca, Cu, Fe, Mg, Zn) v mléce z chorvatských farem jsou ve srovnání s údaji z ostatních<br />
zemí na normální hlad<strong>in</strong>ě. Hlad<strong>in</strong>a toxických kovů (Pb a Cd) <strong>by</strong>la nižší než povolené limity, které def<strong>in</strong>ují chorvatské<br />
předpisy (Pb < 100 µg/l a Cd < 10 µg/l).<br />
Klíčová slova: olovo; kadmium; měď; železo; mangan; hořčík; vápník; syrové kravské mléko; plamenová atomová<br />
absorpční spektr<strong>of</strong>otometrie<br />
Correspond<strong>in</strong>g Author<br />
Dr. Nataša Brajenović, Ruđer Bošković Institute, P.O.Box 180, 10002 Zagreb, Croatia<br />
Tel. +385 1 468 01 25, fax +385 1 468 02 45, e-mail: nbrajen@irb.hr<br />
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