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用于高效无干扰提取合成大麻素的氟化方酰胺共价有机框架

Fluorinated-Squaramide Covalent Organic Frameworks for High-Performance and Interference-Free Extraction of Synthetic Cannabinoids.

作者信息

Shi Yueru, Xu Ruolun, Wang Shaohan, Zheng Juan, Zhu Fang, Hu Qingkun, Huang Junlong, Ouyang Gangfeng

机构信息

MOE Key Laboratory of Aquatic Product Safety/KLGHEI of Environment and Energy Chemistry, School of Chemistry, Sun Yat-sen University, Guangzhou, 510275, China.

Anti-Drug Technology Center of Guangdong Province, Guangdong Provincial Key Laboratory of Psychoactive Substances Monitoring and Safety, Guangzhou, 510535, China.

出版信息

Adv Sci (Weinh). 2023 Nov;10(32):e2302925. doi: 10.1002/advs.202302925. Epub 2023 Oct 9.

Abstract

Synthetic cannabinoids (SCs), one of the largest groups of new psychoactive substances (NPSs), have emerged as a significant public health threat in different regions worldwide. Analyzing SCs in water samples is critical to estimate their consumption and control. However, due to their low background concentration and the coexistence of complex matrix, the selective and effective enrichment of SCs is still challenging. In this study, a series of fluorinated-squaramide-based covalent organic frameworks (COF: FSQ-2, FSQ-3, and FSQ-4) are synthesized, and the as-prepared FSQ-4 exhibits strong affinity to different SCs. The proper pore size (1.4 nm) and pre-located functional groups (hydrogen-bond donors, hydrogen-bond acceptors, and fluorophilic segments) work synergistically for efficient SCs capture. Remarkably, when coupled FSQ-4 with solid-phase microextraction (SPME), trace-level (part per trillion, 10 ) determination of 13 SCs can be easily achieved, representing one of the best results among NPS analyses, and the excellent extraction performance can be maintained under various interfering conditions.

摘要

合成大麻素(SCs)是新型精神活性物质(NPSs)中最大的类别之一,已在全球不同地区成为重大的公共卫生威胁。分析水样中的合成大麻素对于评估其消费量和进行管控至关重要。然而,由于其背景浓度较低且存在复杂基质,合成大麻素的选择性有效富集仍然具有挑战性。在本研究中,合成了一系列基于氟化方酰胺的共价有机框架(COF:FSQ - 2、FSQ - 3和FSQ - 4),所制备的FSQ - 4对不同的合成大麻素表现出很强的亲和力。合适的孔径(1.4纳米)和预先定位的官能团(氢键供体、氢键受体和亲氟片段)协同作用,实现了对合成大麻素的高效捕获。值得注意的是,当将FSQ - 4与固相微萃取(SPME)结合时,可以轻松实现对13种合成大麻素的痕量水平(万亿分之一,10 )测定,这是新型精神活性物质分析中最好的结果之一,并且在各种干扰条件下都能保持出色的萃取性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbf3/10646270/7dd7cc44df1e/ADVS-10-2302925-g002.jpg

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