Development of Hair and Saliva Screening For Drugs of Abuse

碩士 === 中山醫學大學 === 生化暨生物科技研究所 === 96 === In recent years, hair and saliva have become a oncoming biological specimen for drug testing. However, hair and saliva analysis are usually conducted by using GC–MS after tedious sample preparation, which requires rather skilled sample handling and wastes a lo...

Full description

Bibliographic Details
Main Authors: Chia-Tsen, 劉珈岑
Other Authors: 林克亮
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/69749972920816065658
Description
Summary:碩士 === 中山醫學大學 === 生化暨生物科技研究所 === 96 === In recent years, hair and saliva have become a oncoming biological specimen for drug testing. However, hair and saliva analysis are usually conducted by using GC–MS after tedious sample preparation, which requires rather skilled sample handling and wastes a lot of time and cost. In this study, hair samples were directly extracted into 1M pH 7 phosphate buffer, and saliva samples were diluted 1 : 1 with 1M pH 7.4 phosphate buffer. The extract was assayed using an Olympus AU600. We used an enzyme multiplied immunoassay technique(EMIT) : a convenient、time-saving and fairly sensitive semiquantitative screening method to development screening for amphetamines (amphetamine, AP; methamphetamine, MA; methylenedioxyamphetamine, MDA; methylenedioxymethmphetamine, MDMA; methylenedioxy ethylamphetamine, MDEA) and opiates (morphine, MOR; codeine, COD; 6-acetylmorphine,6-AM) in human hair and saliva. An optimized procedure for screening was found, and the developed method was fully validated. Moreover, the correlation between the results of EMIT semiquantitative screening and the GC–MS determination evaluated for 38 possible drug users’ hair specimens was made. The correlation coefficiency of AP was 0.9731、MOR was 0.9670 and MDMA was 0.9591. The optimal cutoff concentration in screening was found by receiver operating characteristic(ROC)analysis to be AP、MDMA:500 pg/mg hair ; MOR:150 pg/mg hair. Although confirmation and quantitative analysis by GC–MS should be performed for every positive sample, this established semiquantitative EMIT screening method was found to be effective, especially for increasing the ability and extent of drug testing.