FORENSIC TOXICOLOGY - Bio Medical Forensics
FORENSIC TOXICOLOGY - Bio Medical Forensics
FORENSIC TOXICOLOGY - Bio Medical Forensics
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K10 Analysis of Hydrocodone, Hydromorphone,<br />
and Norhydrocodone in Urine Using Liquid<br />
Chromatography - Tandem Mass<br />
Spectrometry (LC/MS/MS)<br />
Sandra Valtier, PhD*, Clinical Research Division, 2200 Bergquist Drive,<br />
Building 4430, Lackland AFB, TX; Vikhyat S. Bebarta, MD, Wilford Hall<br />
<strong>Medical</strong> Center, 2200 Bergquist Drive, Lackland AFB, TX 78236; and<br />
Richard LaBoone, MS, Clinical Research Division, 2200 Berquist Drive,<br />
Lackland AFB, TX 78236<br />
The goal of this presentation is to present a validated LC/MS/MS<br />
method for quantitative analysis of hydrocodone (HC) and metabolites<br />
and present data from human subjects administered HC.<br />
The presentation will impact the forensic science community by<br />
providing data obtained from a method valdiation study of urinary HC<br />
and its metabolites.<br />
Measurement of HC, a semi-synthetic opioid analgesic used for<br />
moderate and severe pain relief, can be used to monitor pain<br />
management compliance; however, HC levels can also be useful in drug<br />
testing cases to determine abuse or misuse of this commonly abused<br />
opioid. Hydrocodone is metabolized to its major metabolite, HM, and to<br />
a lesser extent to minor metabolites, NHC, and 6-α- and 6-βhydroxymetabolites.<br />
Knowledge of metabolism and excretion profiles<br />
of administered HC can help in determining dose, time since last dose,<br />
and expected peak concentrations in subjects whose specific drug use is<br />
unknown. To effectively monitor and evaluate metabolism and excretion<br />
profiles, a sensitive and specific drug test is needed to ensure that the<br />
drug and its metabolites can be measured to the lowest<br />
detectable amount.<br />
Standards spiked with concentrations of HC, HM, and NHC<br />
ranging from 1 - 10,000 ng/mL were prepared in opioid negative urine.<br />
Urine samples collected from subjects following HC administration were<br />
also evaluated. The LC gradient mobile phase consisted of (A) 0.1%<br />
formic acid and (B) acetonitrile; flow rate was set at 0.5 mL/minute. The<br />
internal standard solution contained 1µg/mL HC-D3, HM-D3 and NHC-<br />
D3 in methanol. A 250 µL aliquot of standard or urine was mixed with<br />
25 µL of internal standard solution. Urine samples were hydrolyzed with<br />
β-glucuronidase, solid phase extraction (SPE) performed, followed by 10<br />
µL injection on the LC/MS/MS system. The mass spectrometer was set<br />
in the ESI positive mode and analysis was performed using two multiple<br />
reaction monitoring (MRM) transitions per analyte. The MS/MS ion<br />
transitions monitored were m/z 300.2→199.1 and 300.2→171.0 for HC;<br />
m/z 286.1→185.0 and 286.1→157.0 for HM; m/z 286.2→199.1 and<br />
286.2→241.1 for NHC; m/z 303.2→199.0 for HC-D3, 289.2→185.2 for<br />
HM-D3 and m/z 289.0→202.0 for NHC-D3.<br />
The linear range was determined for this procedure by analysis on<br />
six different runs on concentrations ranging from 1 to 10,000 ng/mL of<br />
each analyte prepared in urine. The linear range was shown to be 5 to<br />
10,000 ng/mL for HC and HM and 5 – 5,000 ng/mL for NHC with r<br />
value > 0.99 for all compounds. The limit of detection (LOD) was 2.5<br />
ng/mL for HC and NHC and 5 ng/mL for HM. The limit of quantitation<br />
(LOQ) for all analytes in urine was 5 ng/mL. The method yielded good<br />
precision with RSDs of < 10% at 100 ng/mL HC, HM, and NHC. Based<br />
on this procedure, measurable amounts of HC, HM, and NHC were<br />
detected in human urine for up to at least 9 hours post dose HC.<br />
The present study will provide a validated LC/MS/MS method for<br />
quantitation of HC, HM and NHC in urine and will also provide<br />
evaluation of urine samples obtained from individuals administered HC.<br />
Hydrocodone, Metabolism, LC/MS/MS<br />
* Presenting Author<br />
K11 Determination of Titanium Element in<br />
Gingival <strong>Bio</strong>psies of Patients Treated With<br />
Dental Implants by Laser Ablation –<br />
Inductively Coupled Plasma-Mass<br />
Spectrometry (LA-ICP-MS)<br />
Selda Mercan, MSc, Institute of Forensic Science, Cerrahpasa, Istanbul<br />
University, Istanbul, 34303, TURKEY; Nilufer Bolukbasi, PhD,<br />
Department of Oral Implantology, Faculty of Dentistry, Istanbul<br />
University, Istanbul, 34303, TURKEY; Musa K. Bolukbasi, BSc, and<br />
Murat Yayla, BSc, Institute of Forensic Sciences, Istanbul University,<br />
Istanbul, 34303, TURKEY; Tayfun Ozdemir, PhD, Department of Oral<br />
Implantology, Faculty of Dentistry, Istanbul University, Istanbul, 34303,<br />
TURKEY; and Salih Cengiz, PhD*, Institute of Forensic Sciences,<br />
Istanbul Universitesi, Adli Bilimler Enstitüsü, CERRAHPASA TIP<br />
FAKULTESI, Istanbul, 34303, TURKEY<br />
After attending this presentation, attendees will understand the<br />
transition of the titanium element into gingival biopsies which<br />
determined using Laser Ablation-Inductively Coupled Plasma-Mass<br />
Spectrometry (LA-ICP-MS).<br />
This presentation will impact the forensic science community by<br />
determining low amount of biopsy materials for any titanium element<br />
with suitable Laser Ablation method equipped by ICP-MS.<br />
Introduction: Titanium element is widely used material as an<br />
implant in medical applications especially in dentistry. The use of dental<br />
implants in the treatment of partial and complete edentulism has become<br />
a successful treatment modality in modern dentistry. Dental implants<br />
and their prosthetic parts are made of biocompatible materials. Today<br />
titanium and its alloys are the first choice to fabricate implant materials.<br />
Although titanium is a very inert material, it may corrode when in<br />
contact with the oral cavity. If titanium corrodes it releases ions which<br />
can cause local reactions such as pain and swelling or activate<br />
immune response.<br />
Materials and Methods: The study was carried out in the Clinic<br />
of the Department of Oral Implantology at the Faculty of Dentistry and<br />
Institute of Forensic Science, Forensic Toxicology Laboratory in<br />
Istanbul University. The study group comprised 20 two-staged dental<br />
implants. Osteotomy and implant installation were performed according<br />
to the manufacturer’s surgical protocol. The implants were exposed<br />
(second stage surgery) after three months and gingival biopsies were<br />
collected at each site. The biopsies were stored at -18°C until use.<br />
Samples were fixed to a lamina by an adhesive and dried in an oven at<br />
90 o C for 2 hours.<br />
For comparison and prediction the change of elemental composition<br />
of gum tissues, sheep gum was used as a control matrix and confirmed<br />
that the sheep gum had no titanium element. An adhesive material fixed<br />
to a lamina with no sample was also used as blank for samples. Certified<br />
Standard Material (CRM), NIST 612 glass matrix was used for quality<br />
control sample. All samples fixed to lamina were analyzed by LA-ICP-<br />
MS. Titanium element was detected and compared with sheep gum and<br />
also with blank lamina.<br />
Results and Discussion: Sheep gums were repeated five times and<br />
the mean value was accepted as the lowest amount for Titanium element.<br />
According to the results, some of samples showed titanium element<br />
significantly more than sheep samples. NIST 612 glass matrix showed<br />
that LA-ICP-MS system analyzed the titanium element close to certified<br />
amount. Moreover, there was no response to titanium in blank lamina<br />
which had no tissue. It can be concluded that adhesive didn’t contain any<br />
contamination for titanium, and this may be suitable sample preparation<br />
process for biological tissues when they are studied using<br />
Laser Ablation.<br />
Conclusion: Although all patients were exposed to titanium<br />
implant for three months, elemental quantitative results were variable.<br />
The best way to determine these kinds of patients might be monitoring<br />
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