A novel color-coded sensor array for visual recognition and traceability investigation of multiple antibiotics

可追溯性 人工智能 计算机科学 计算机视觉 模式识别(心理学) 软件工程
作者
Yining Lv,Xike Tian,Yong Li,Yulun Nie
出处
期刊:Sensors and Actuators B-chemical [Elsevier]
卷期号:372: 132641-132641 被引量:4
标识
DOI:10.1016/j.snb.2022.132641
摘要

To combat the serious environmental menace originating from over-consumption of antibiotics in human therapy and farming industry, studies have been devoted to developing diverse technologies for antibiotics monitoring. Herein, a novel color-coded array was constructed by Ln-MOF (Ln = Eu, Tb, and Gd) fluorescent carriers for qualitative and quantitative analyses of antibiotics based on a cross-responsive mechanism. The distinct morphology identification of 10 nitro-antibiotics was obtained after processing by linear discriminant analysis (LDA) and hierarchical cluster analysis (HCA), and concentration distributions were assessed within a range of 0-12 ppm (the detection limits all as low as ppb). Aid by the proposed array, the spiked antibiotics in lake water were successfully determined with a satisfactory recovery of 90.8%-110.8%. Notably, unknown speciation and concentration of multiple antibiotics in specific water samples can be determined, which further confirmed its admirable traceability. This research opens up a possibility to monitor environmental behavior and toxicology studies of antibiotics. • A sensor array was constructed by 7 fluorescence channels of Gd/Eu/Tb-based MOF. • Array can simultaneously detect 10 antibiotics based on a cross-response mechanism. • Qualitative and quantitative analyses of 10 antibiotics were realized by the array. • The array enables rapid traceability of multiple antibiotics in real water.

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