An Improved GC–MS/MS Method for a Fast Multidrug Analysis in Hair

色谱法 头发分析 化学 计算生物学 医学 生物 病理 替代医学
作者
H Zhang,Jia Ying Hilda Loh,Hooi Yan Moy,Chi Pang Lui
出处
期刊:Drug Testing and Analysis [Wiley]
标识
DOI:10.1002/dta.3840
摘要

This study presents the development and validation of a drug testing method in hair, employing a semi-automated sample preparation procedure and gas chromatography-tandem mass spectrometry (GC-MS/MS) for simultaneous multidrug analysis in hair. The method aims to detect and quantify multiple drugs in hair, including amphetamine, methamphetamine, 3,4-methylenedioxyamphetamine, 3,4-methylenedioxymethamphetamine, ketamine, norketamine, cocaine, benzoylecgonine, morphine, codeine and 6-monoacetylmorphine, using a comprehensive procedure involving decontamination, pulverization, clean-up using supported-liquid extraction (SLE) and a two-step derivatization process. The method validation included specificity, linearity, limit of detection (LOD), limit of quantification (LOQ), precision, accuracy, carryover, robustness and stability. The results indicate a linearity range of 0.1-5 ng/mg for all drugs except methamphetamine, which has a linearity range of 0.2-5 ng/mg. The accuracy and precision of the method are within ±20%, with the LOQ at 0.2 ng/mg for methamphetamine, 0.1 ng/mg for amphetamine and MDMA and 0.05 ng/mg for the rest of the drugs. The LODs were found to be 0.1 ng/mg for methamphetamine, 0.05 ng/mg for amphetamine and MDMA and 0.025 ng/mg for other drugs. This method has demonstrated its accuracy by comparing the quantitative test results with the expected results, using hair samples from the proficiency test service providers. This test method offers efficient testing of multiple drugs in a single analysis, significantly improves the hair analysis workflow in a routine testing laboratory by reducing turnaround time and the amount of hair sample required.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
正直发箍完成签到,获得积分10
1秒前
1秒前
乐乐应助许思真采纳,获得10
1秒前
tj发布了新的文献求助10
2秒前
3秒前
领导范儿应助丰都麻辣鸡采纳,获得10
3秒前
3秒前
隐形曼青应助阿尔D冯斯采纳,获得30
3秒前
吴开珍发布了新的文献求助10
3秒前
solitude发布了新的文献求助10
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
乐乐应助科研通管家采纳,获得10
4秒前
搜集达人应助科研通管家采纳,获得10
4秒前
FashionBoy应助科研通管家采纳,获得10
4秒前
风清扬应助科研通管家采纳,获得30
4秒前
CipherSage应助科研通管家采纳,获得10
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
脑洞疼应助科研通管家采纳,获得10
4秒前
传奇3应助科研通管家采纳,获得10
5秒前
FashionBoy应助科研通管家采纳,获得10
5秒前
深情安青应助科研通管家采纳,获得10
5秒前
丘比特应助科研通管家采纳,获得10
5秒前
orixero应助科研通管家采纳,获得10
5秒前
彭于晏应助科研通管家采纳,获得10
5秒前
5秒前
大个应助科研通管家采纳,获得10
5秒前
深情安青应助科研通管家采纳,获得10
5秒前
大个应助科研通管家采纳,获得10
5秒前
量子星尘发布了新的文献求助10
5秒前
情怀应助科研通管家采纳,获得30
5秒前
科研通AI6应助科研通管家采纳,获得80
5秒前
土星发布了新的文献求助20
6秒前
葱葱花卷发布了新的文献求助10
6秒前
完美世界应助星星采纳,获得10
7秒前
SciGPT应助吴彦祖采纳,获得10
10秒前
丰富苑博完成签到 ,获得积分10
10秒前
1231ggff完成签到,获得积分10
11秒前
深情锦程完成签到,获得积分10
12秒前
NaNA发布了新的文献求助10
13秒前
solitude完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
King Tyrant 720
Sport, Social Media, and Digital Technology: Sociological Approaches 650
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5594144
求助须知:如何正确求助?哪些是违规求助? 4679860
关于积分的说明 14811803
捐赠科研通 4646094
什么是DOI,文献DOI怎么找? 2534776
邀请新用户注册赠送积分活动 1502789
关于科研通互助平台的介绍 1469475