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研究芬太尼制剂和前体中的化学杂质概况,以确定用于合成方法归因的化学归因特征。

Investigating the chemical impurity profiles of fentanyl preparations and precursors to identify chemical attribution signatures for synthetic method attribution.

机构信息

Defence Science and Technology Group, 506 Lorimer Street Fishermans Bend, Victoria 3207, Australia.

Defence Science and Technology Group, 506 Lorimer Street Fishermans Bend, Victoria 3207, Australia.

出版信息

Forensic Sci Int. 2021 Apr;321:110742. doi: 10.1016/j.forsciint.2021.110742. Epub 2021 Feb 23.

DOI:10.1016/j.forsciint.2021.110742
PMID:33647569
Abstract

From an analytical chemistry standpoint, determining the chemical attribution signatures (CAS) of synthetic reaction mixtures is an impurity profiling exercise. Identifying and understanding the impurity profile and CAS of these chemical agents would allow them to be exploited for chemical forensic information, such as how a particular chemical agent was synthesised. Being able to determine the synthetic route used to make a chemical agent allows for the possibility of batches of the agent, and individual incidents using that agent, to be forensically linked. This information is of particular benefit to agencies investigating the nefarious and illicit use of chemical agents. One such chemical agent of interest to law enforcement and national security agencies is fentanyl. In this study two acylation methods for the final step of fentanyl production, herein termed the Janssen and Siegfried methods, were investigated by liquid chromatography- high resolution mass spectrometry (LC-HRMS) and multivariate statistical analysis (MVA). From these data, fifty-five chemical impurities were identified. Of these, ten were specific CAS for the Janssen method, and five for the Siegfried method. Additionally, analytical data from four different literature methods for production of the fentanyl precursor 4-anilino-N-phenethylpiperidine (ANPP), were compared to the results obtained from the method of production (Valdez) used in this study. Comparison of the LC-HRMS data for these five methods allowed for four Valdez specific impurities to be identified. These may be useful CAS for the Valdez method of ANPP production.

摘要

从分析化学的角度来看,确定合成反应混合物的化学归因特征 (CAS) 是一种杂质剖析练习。识别和理解这些化学试剂的杂质概况和 CAS,可以将它们用于法医信息,例如特定化学试剂的合成方式。能够确定用于制造化学试剂的合成路线,可以使该试剂的批次和使用该试剂的个别事件在法医上相关联。这些信息对于调查化学试剂恶意和非法使用的机构特别有益。执法和国家安全机构感兴趣的一种化学试剂是芬太尼。在这项研究中,通过液相色谱-高分辨率质谱 (LC-HRMS) 和多变量统计分析 (MVA) 研究了芬太尼生产最后一步的两种酰化方法,分别称为扬森 (Janssen) 和西格弗里德 (Siegfried) 方法。从这些数据中,鉴定出了 55 种化学杂质。其中,有 10 种是扬森方法的特定 CAS,5 种是西格弗里德方法的特定 CAS。此外,还将四种不同文献方法生产芬太尼前体 4-苯胺基-N-苯乙基哌啶 (ANPP) 的分析数据与本研究中使用的生产方法 (瓦尔迪兹) 的结果进行了比较。对这五种方法的 LC-HRMS 数据进行比较,鉴定出了四种瓦尔迪兹特有的杂质。这些杂质可能是用于 ANPP 生产的瓦尔迪兹方法的有用 CAS。

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