Suppr超能文献

一种带有便携式近红外分析仪的校准友好型方法,用于识别滥用药物混合物。

A calibration friendly approach to identify drugs of abuse mixtures with a portable near-infrared analyzer.

机构信息

Forensic Laboratory, Dutch National Police, Unit Amsterdam, Amsterdam, The Netherlands.

Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Drug Test Anal. 2022 Jun;14(6):1089-1101. doi: 10.1002/dta.3231. Epub 2022 Feb 9.

Abstract

Both the increasing number and diversity of illicit-drug seizures complicate forensic drug identification. Traditionally, colorimetric tests are performed on-site, followed by transport to a laboratory for confirmatory analysis. Higher caseloads increase laboratory workload and associated transport and chain-of-evidence assurance performed by police officers. Colorimetric tests are specific only for a small set of drugs. The rise of new psychoactive substances therefore introduces risks for erroneous results. Near-infrared (NIR)-based analyzers may overcome these encumbrances by their compound-specific spectral selectivity and broad applicability. This work introduces a portable NIR analyzer that combines a broad wavelength range (1300-2600 nm) with a chemometric model developed specifically for forensic samples. The application requires only a limited set of reference spectra for time-efficient model training. This calibration-light approach thus eliminates the need of extensive training sets including mixtures. Performance was demonstrated with 520 casework samples resulting in a 99.6% true negative and 97.6% true positive rate for cocaine. Similar results were obtained for MDMA, methamphetamine, ketamine, and heroin. Additionally, 236 samples were analyzed by scanning directly through their plastic packaging. Also here, a >97% true positive rate was obtained. This allows for non-invasive, operator-safe chemical identification of potentially potent drugs of abuse. Our results demonstrate the applicability for multiple drug-related substances. Ideally, the combination of this NIR approach with other portable techniques, such as Raman and IR spectroscopy and electrochemical tests, may eventually eliminate the need for subsequent laboratory analysis; therefore, saving tremendous resources in the overall forensic process of confirmatory illicit drug identification.

摘要

非法药物缉获量的不断增加和种类的不断多样化使法医毒品鉴定变得复杂。传统上,现场进行比色测试,然后将其运送到实验室进行确认分析。更高的案件量增加了实验室工作量以及警察执行的相关运输和证据链保证。比色测试仅针对一小部分药物具有特异性。因此,新精神活性物质的兴起会带来错误结果的风险。基于近红外(NIR)的分析仪可以通过其特定于化合物的光谱选择性和广泛的适用性来克服这些障碍。这项工作介绍了一种便携式 NIR 分析仪,该分析仪将宽波长范围(1300-2600nm)与专为法医样品开发的化学计量模型相结合。该应用程序仅需要一组有限的参考光谱即可进行高效的模型训练。因此,这种校准光方法消除了对包括混合物在内的广泛训练集的需求。该方法在 520 个案例样本中的性能演示,可卡因的真阴性率和真阳性率分别达到 99.6%和 97.6%。对摇头丸、冰毒、氯胺酮和海洛因也获得了类似的结果。此外,还通过直接扫描其塑料包装对 236 个样本进行了分析。在这里,也获得了 >97%的真阳性率。这允许对潜在强效的滥用药物进行非侵入性,操作员安全的化学识别。我们的结果证明了该方法适用于多种与药物相关的物质。理想情况下,这种 NIR 方法与其他便携式技术(例如拉曼和红外光谱以及电化学测试)的结合,最终可能会消除对后续实验室分析的需求;因此,在确认非法药物鉴定的整个法医过程中节省了大量资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4725/9305489/2042c9207d7b/DTA-14-1089-g007.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验