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近期不同基质中丁丙诺啡预处理和分析方法的更新。

Recent Update on Pretreatment and Analysis Methods of Buprenorphine in Different Matrix.

机构信息

The Queen's University of Belfast Joint College, China Medical University, Shenyang, China.

School of Pharmacy, China Medical University, Shenyang, China.

出版信息

Crit Rev Anal Chem. 2024 Aug;54(5):1243-1272. doi: 10.1080/10408347.2022.2111196. Epub 2022 Aug 18.

Abstract

Buprenorphine is one of the most commonly used pain-killing drugs due to its lengthy duration of action and high potency. However, excessive usage of buprenorphine can be harmful to one's health and prolonged use might result in addiction. Additionally, an increasing number of cases have been documented involving the illegal use of buprenorphine. Therefore, a variety of effective and reliable methods for pretreatment and determination of buprenorphine and its main metabolite norbuprenorphine have been established. This review aims to update the current state of pretreatment and detection techniques for buprenorphine and norbuprenorphine from January 2010 to March 2022. Pretreatment methods include several traditional extraction methods, solid-phase extraction, QuECHERS, various micro-extraction techniques, etc. while analytical methods include LC-MS, LC coupled with other detectors, GC-MS, capillary electrophoresis, electrochemical sensors, etc. The pros and cons of various techniques were compared and summarized, and the prospects were provided.HIGHLIGHTSProgress in pretreatment and detection methods for buprenorphine is demonstrated.Pros and cons of different pretreatment and analysis methods are compared.New materials (such as nanomaterials and magnetic materials) used in buprenorphine pretreatment are summarized.Newly emerged environmental-friendly methods are discussed.

摘要

丁丙诺啡是一种最常被使用的止痛药物,因其作用时间长、效力高。然而,过量使用丁丙诺啡可能对健康有害,长期使用可能导致成瘾。此外,越来越多的非法使用丁丙诺啡的案例被记录在案。因此,已经建立了各种有效的、可靠的丁丙诺啡及其主要代谢物去甲丁丙诺啡的预处理和测定方法。本综述旨在更新自 2010 年 1 月至 2022 年 3 月丁丙诺啡和去甲丁丙诺啡的预处理和检测技术的最新状况。预处理方法包括几种传统的提取方法、固相萃取、QuECHERS、各种微萃取技术等,而分析方法包括 LC-MS、LC 与其他检测器联用、GC-MS、毛细管电泳、电化学传感器等。比较并总结了各种技术的优缺点,并提供了展望。

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