Testing for protonitazene in human hair using LC–MS-MS

芬太尼 色谱法 检出限 梯度洗脱 化学 洗脱 液相色谱-质谱法 质谱法 止痛药 头发分析 药理学 医学 高效液相色谱法 替代医学 病理
作者
Pascal Kintz,Alice Ameline,Laurie Gheddar,Simona Pichini,Cédric Mazoyer,Katy Teston,Frédéric Aknouche,Christophe Maruéjouls
出处
期刊:Journal of Analytical Toxicology [Oxford University Press]
卷期号:48 (8): 630-635 被引量:2
标识
DOI:10.1093/jat/bkae050
摘要

Abstract Protonitazene is a synthetic benzimidazole opioid of the nitazenes class, developed in the 1950s as an effective analgesic, but never released on the market due to severe side effects and possible dependence. Despite its increasing use as a new psychoactive substance starting in 2019, its detection in human hair of intoxicated and deceased consumers has never been reported. We present the development and validation of a specific procedure to identify protonitazene in hair by liquid chromatography with tandem mass spectrometry. Drugs were incubated overnight at 40°C in 1 mL borate buffer, pH 9.5 with 20 mg pulverized hair and 1 ng/mg fentanyl-d5 used as internal standard. Drugs were then extracted with a mixture of organic solvents. The chromatographic separation was performed using an HSS C18 column with a 15-min gradient elution. Linearity was verified from 1 to 100 pg/mg. The limit of detection was estimated at 0.1 pg/mg. No interference was noted from a large panel of natural and synthetic opioids, fentanyl derivatives, or other new synthetic opioids. Protonitazene was identified at 70 and >7600 pg/mg in the whole head hair specimens of two male subjects deceased from an acute drug overdose in jail. Protonitazene was also identified at 14 and 54 pg/mg in two living co-prisoners. As nitazenes represent a growing threat to public health in various parts of the world, this method was developed in response to the challenges posed by the identification of this class of substances.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
Mason完成签到,获得积分10
刚刚
山青水秀发布了新的文献求助10
刚刚
Ava应助沙糖桔采纳,获得10
1秒前
ACCEPT发布了新的文献求助10
2秒前
喵喵旺旺发布了新的文献求助10
2秒前
佳佳完成签到 ,获得积分10
2秒前
Don完成签到,获得积分10
2秒前
王祥瑞完成签到,获得积分10
2秒前
冷傲如风完成签到,获得积分10
3秒前
3秒前
桐桐应助1212采纳,获得10
3秒前
晓阳发布了新的文献求助10
3秒前
4秒前
朴素的小馒头完成签到,获得积分10
4秒前
dulcetlemon完成签到 ,获得积分10
4秒前
5秒前
健忘的灵槐完成签到,获得积分10
5秒前
orixero应助牛马一生采纳,获得20
5秒前
儒雅蓉完成签到,获得积分10
5秒前
糕分子大王完成签到,获得积分10
5秒前
向上完成签到,获得积分10
6秒前
6秒前
6秒前
我是撒笔完成签到 ,获得积分10
7秒前
高大乌冬面完成签到,获得积分20
8秒前
小卢完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
丘比特应助吃肥皂吐泡泡采纳,获得10
9秒前
xiaomayi完成签到,获得积分10
9秒前
Bubblue发布了新的文献求助10
9秒前
10秒前
11秒前
panyubo完成签到,获得积分10
11秒前
天天快乐应助喵喵旺旺采纳,获得10
11秒前
向乐瑶发布了新的文献求助10
11秒前
科研通AI2S应助糕分子大王采纳,获得10
12秒前
molihuakai应助ACCEPT采纳,获得10
13秒前
感动的时光完成签到,获得积分20
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
Cronologia da história de Macau 5000
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Electrode Potentials 550
Trees of tropical Asia : an illustrated guide to diversity 500
Handbook of Luminescence Dating 500
Safety Pharmacology 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6977616
求助须知:如何正确求助?哪些是违规求助? 8656722
关于积分的说明 18353587
捐赠科研通 6438982
什么是DOI,文献DOI怎么找? 3091885
关于科研通互助平台的介绍 2147869
邀请新用户注册赠送积分活动 2068330