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基于钢渣复合材料的比色传感器阵列的构建及其用于四环素类抗生素的高灵敏检测。

Construction of colorimetric sensor arrays using steel slag-based composites for highly sensitive detection of tetracycline antibiotics.

机构信息

Beijing Key Laboratory of Electrochemical Process and Technology for Materials, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

出版信息

Anal Methods. 2024 Aug 15;16(32):5555-5563. doi: 10.1039/d4ay00754a.

Abstract

Sensor array methods have received much attention in recent years. In this study, a colorimetric sensor array consisting of three kinds of steel slag-based composites (including porphyrin-functionalized non-magnetic steel slag (NMSS-Por), alkali-excited steel slag (A-SS), and platinum modified steel slag (ALANH-Pt)) was developed for the detection and recognition of tetracycline antibiotics (TCs) such as tetracycline (TC), oxytetracycline (OTC) and doxycycline (DOX). Linear discriminant analysis (LDA) and hierarchical cluster analysis (HCA) showed that the colorimetric sensor array has excellent recognition ability for TCs. The detection limits of this sensor array for TC, OTC, and DOX were 0.059 μM, 0.111 μM and 0.118 μM, respectively, which provided higher sensitivity compared to the colorimetric sensors composed of a single steel slag-based composite material. At the same time, the array sensor has anti-interference ability, and this study provides a new application route for steel slag.

摘要

传感器阵列方法近年来受到了广泛关注。在这项研究中,开发了一种由三种基于钢渣的复合材料(包括卟啉功能化非磁性钢渣(NMSS-Por)、堿激发钢渣(A-SS)和铂修饰钢渣(ALANH-Pt))组成的比色传感器阵列,用于检测和识别四环素类抗生素(TCs),如四环素(TC)、土霉素(OTC)和强力霉素(DOX)。线性判别分析(LDA)和层次聚类分析(HCA)表明,比色传感器阵列对 TCs 具有优异的识别能力。该传感器阵列对 TC、OTC 和 DOX 的检测限分别为 0.059 μM、0.111 μM 和 0.118 μM,与由单一基于钢渣的复合材料组成的比色传感器相比,具有更高的灵敏度。同时,该阵列传感器具有抗干扰能力,为钢渣的应用提供了新的途径。

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