Guo Xiangyu, Shang Yuhan, Lv Yueguang, Bai Hua, Ma Qiang
Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Anal Chem. 2021 Jul 27;93(29):10152-10159. doi: 10.1021/acs.analchem.1c01117. Epub 2021 Jul 13.
The reliable identification of fentanyl and its analogs is of great significance for public security. However, with the growing prevalence of fentanyl compounds, current analytical strategies cannot fully meet the need for fast and high-throughput detection. In this study, a simple, rapid, and on-site analytical protocol was developed based on a miniature mass spectrometer. A dramatically simplified workflow was implemented using matrix-assisted ionization, bypassing complex sample pretreatment and chromatographic separation. The tandem mass spectrometry (MS/MS) capability afforded by the miniature ion trap mass spectrometer facilitated the investigation of fragmentation patterns for 49 fentanyl analogs during collision-induced dissociation, revealing valuable information on marker fragment ions and characteristic neutral loss. Calculations on Laplacian bond order values further verified the mass spectrometric behavior. A computation-assisted expandable mass spectral library was constructed in-house for fentanyl compounds. Smart suspect screening was carried out based on the full-scan MS and MS/MS data. The present study demonstrates an appealing potential for forensic applications, enabling streamlined screening for the presence of illicit fentanyl compounds at the point of seizures of suspect samples.
芬太尼及其类似物的可靠识别对公共安全具有重要意义。然而,随着芬太尼化合物的日益流行,当前的分析策略无法完全满足快速和高通量检测的需求。在本研究中,基于微型质谱仪开发了一种简单、快速的现场分析方法。采用基质辅助电离实现了显著简化的工作流程,绕过了复杂的样品预处理和色谱分离。微型离子阱质谱仪提供的串联质谱(MS/MS)功能有助于研究49种芬太尼类似物在碰撞诱导解离过程中的碎片模式,揭示了有关标记碎片离子和特征中性损失的有价值信息。拉普拉斯键序值的计算进一步验证了质谱行为。内部构建了一个用于芬太尼化合物的计算辅助可扩展质谱库。基于全扫描MS和MS/MS数据进行智能可疑物筛查。本研究展示了在法医应用方面的诱人潜力,能够在查获可疑样品时对非法芬太尼化合物的存在进行简化筛查。