Suppr超能文献

通过基于适体的侧向流动测试对甲基苯丙胺和可卡因进行非侵入性即时检测。

Non-Invasive Point-of-Care Detection of Methamphetamine and Cocaine via Aptamer-Based Lateral Flow Test.

作者信息

Erkocyigit Bilge, Man Ezgi, Efecan Ece, Ozufuklar Ozge, Devecioglu Deniz, Bagci Basak, Aldemir Ebru, Coskunol Hakan, Evran Serap, Guler Celik Emine

机构信息

Department of Biotechnology, Institute of Natural Sciences, Ege University, 35040 Izmir, Türkiye.

Department of Biochemistry, Faculty of Science, Ege University, 35040 Izmir, Türkiye.

出版信息

Biosensors (Basel). 2025 Jan 9;15(1):31. doi: 10.3390/bios15010031.

Abstract

Drug abuse is a major public problem in the workplace, traffic, and forensic issues, which requires a standardized test device to monitor on-site drug use. For field testing, the most important requirements are portability, sensitivity, non-invasiveness, and quick results. Motivated by this problem, a point of care (POC) test based on lateral flow assay (LFA) was developed for the detection of cocaine (COC) and methamphetamine (MET) in saliva which has been selected as the matrix for this study due to its rapid and non-invasive collection process. In the design strategy of an LFA test, the use of gold nanoparticles (AuNPs) with strong optical properties has been combined with the advantages of selecting aptamers under in vitro conditions, making it a highly specific and stable recognition probe for the detection of small molecules in saliva. The developed aptamer-based LFA in a competitive format, was able to detect COC and MET in synthetic saliva at concentrations as low as 5.0 ng/mL. After analytical performance studies, the test system also detected COC and MET in real patient samples, which was verified by chromatographic methods.

摘要

药物滥用是工作场所、交通和法医问题中的一个主要公共问题,这需要一种标准化的检测设备来监测现场药物使用情况。对于现场检测,最重要的要求是便携性、灵敏度、非侵入性和快速出结果。受此问题的推动,开发了一种基于侧向流动分析(LFA)的即时检测(POC)方法,用于检测唾液中的可卡因(COC)和甲基苯丙胺(MET)。由于唾液采集过程快速且非侵入性,因此被选为本研究的基质。在LFA检测的设计策略中,具有强光学性质的金纳米颗粒(AuNPs)的使用与在体外条件下选择适体的优点相结合,使其成为用于检测唾液中小分子的高度特异性和稳定的识别探针。所开发的基于适体的竞争性LFA能够在合成唾液中检测低至5.0 ng/mL浓度的COC和MET。经过分析性能研究后,该检测系统还在真实患者样本中检测到了COC和MET,这通过色谱方法得到了验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c37/11764150/52cebb3f6b1a/biosensors-15-00031-sch001.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