Azodye-based colorimetric sensor array for identification of biogenic amines: Food forensics by portable RGB-based signal readout

RGB颜色模型 分析物 食物腐败 化学 检出限 比色法 色谱法 纤维素 计算机科学 人工智能 生物化学 生物 遗传学 细菌
作者
Ranbir,Gagandeep Singh,Harupjit Singh,Navneet Kaur,Narinder Singh
出处
期刊:Sensors and Actuators B-chemical [Elsevier]
卷期号:387: 133794-133794 被引量:5
标识
DOI:10.1016/j.snb.2023.133794
摘要

Biogenic amines (BA's) are known to be released as a result of decarboxylation of amino acids during the long storage of protein rich food products, and thus subsequently established as spoiled food markers. Consequently, the selective and sensitive detection of these biogenic amines is of utmost importance for food safety and monitoring. In this regard, herein, we demonstrate the azodye-based colorimetric sensor array for a rapid quantitative profiling of these food spoilage markers. The distinct responses towards various biogenic amines were identified and processed through automated multivariate analysis. Qualitative and quantitative determination of target analytes were performed using LDA and PSLR and results obtained showing linear correlation with different concentrations of target analytes with limit of detection values from 1.23 to 6.60 μM. For practical application, we have developed solid state cellulose paper-based sensor array which exhibits colorimetric changes for different biogenic amines; thus, makes it a potential system to conveniently monitor the concentration of analyte under investigation for food safety and monitoring through RGB analysis.
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