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
wyyy完成签到,获得积分20
1秒前
能干凡松发布了新的文献求助10
1秒前
NeoH完成签到,获得积分10
1秒前
annian完成签到 ,获得积分10
1秒前
luyang完成签到,获得积分10
2秒前
规划发布了新的文献求助10
2秒前
完美世界应助bowenguan采纳,获得30
2秒前
单薄月饼完成签到,获得积分10
2秒前
ly1完成签到,获得积分10
2秒前
hashie发布了新的文献求助10
3秒前
小不58发布了新的文献求助10
3秒前
11完成签到 ,获得积分10
3秒前
英姑应助zzzz采纳,获得10
3秒前
4秒前
天天快乐应助LI采纳,获得10
4秒前
小毛线发布了新的文献求助10
4秒前
淡定可乐发布了新的文献求助10
4秒前
4秒前
乔磊完成签到,获得积分20
5秒前
合适迎彤完成签到,获得积分10
6秒前
bkagyin应助聚乙二醇采纳,获得10
6秒前
6秒前
香蕉觅云应助务实的焦采纳,获得10
6秒前
7秒前
852应助不知道叫什么采纳,获得10
7秒前
8秒前
桀庚发布了新的文献求助10
8秒前
Cisco应助hua采纳,获得10
8秒前
shw发布了新的文献求助10
9秒前
吴邪完成签到,获得积分10
9秒前
10秒前
10秒前
大海之滨发布了新的文献求助10
11秒前
11秒前
12秒前
阿斯披粼发布了新的文献求助10
12秒前
yyy发布了新的文献求助10
12秒前
12秒前
12秒前
12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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 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 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364315
求助须知:如何正确求助?哪些是违规求助? 8178398
关于积分的说明 17237510
捐赠科研通 5419383
什么是DOI,文献DOI怎么找? 2867667
邀请新用户注册赠送积分活动 1844644
关于科研通互助平台的介绍 1692263