化学
偏最小二乘回归
试剂
色谱法
品味
苯酚
电子舌
传感器阵列
食品科学
有机化学
计算机科学
机器学习
作者
Lei Zhang,Yaqi Liu,Zhenli Cai,Meixia Wu,Yao Fan
出处
期刊:Foods
[Multidisciplinary Digital Publishing Institute]
日期:2024-07-05
卷期号:13 (13): 2139-2139
标识
DOI:10.3390/foods13132139
摘要
Baijiu is an ancient, distilled spirit with a complicated brewing process, unique taste, and rich trace components. These trace components play a decisive role in the aroma, taste, and especially the quality of baijiu. In this paper, the redox reaction between the Fenton reagent and four reducing agents, including o-phenylenediamine (OPD), p-phenylenediamine (PPD), 4-aminophenol (PAP), and 2-aminophenol (OAP), was adopted to construct a four-channel visual sensor array for the rapid detection of nine kinds of common organic acids in baijiu and the identification of baijiu and its adulteration. By exploiting the color-changing fingerprint response brought by organic acids, each organic acid could be analyzed accurately when combined with an optimized variable-weighted least-squares support vector machine based on a particle swarm optimization (PSO-VWLS-SVM) model. What is more, this novel sensor also could achieve accurate semi-quantitative analysis of the mixed organic acid samples via partial least squares discriminant analysis (PLSDA). Most importantly, the sensor array could be further used for the identification of baijiu with different species through the PLSDA model and the adulteration assessment with the one-class partial least squares (OCPLS) model simultaneously.
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