用于曲马多环境检测的表面等离子体共振生物传感器。

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Magdalena Čapková, Erika Hemmerová, Jiří Homola
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引用次数: 0

摘要

地表水和饮用水被药物污染引起了环境问题。它已被证明会影响水生生物,并对人类的健康产生不利影响。最常见的药物污染物之一是阿片类镇痛药曲马多。在这篇通讯中,我们报道了基于表面等离子体共振生物传感器的水中曲马多的首次检测。该生物传感器采用结合抑制形式,能够在宽浓度范围(5个数量级)下检测曲马多,检测限为0.52µg/L。报告了一项小型环境研究的结果,其中生物传感器被用于分析河流水样。结果与液相色谱-串联质谱(HPLC-MS/MS)分析结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surface plasmon resonance biosensor for environmental detection of tramadol

Contamination of surface water and drinking water with pharmaceuticals presents an environmental concern. It has been shown to affect aquatic organisms and have adverse health effects on humans. One of the most common pharmaceutical contaminants is the opioid analgesic tramadol. In this communication, we report on the first surface plasmon resonance biosensor-based detection of tramadol in water. The biosensor utilizes a binding inhibition format and enables detection of tramadol at a wide range of concentrations (5 orders of magnitude) with a limit of detection of 0.52 µg/L. The results of a small-scale environmental study are reported in which the biosensor was used to analyze river water samples. The results were found to agree well with those obtained using the liquid chromatography-tandem mass spectrometry (HPLC–MS/MS).

Graphical abstract

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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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