A novel colorimetric sensor array based on boron-dipyrromethene (BODIPY) dyes was developed to monitor the volatile organic compounds (VOCs) of rice at different storage times. The VOCs of rice at different storage times were analyzed through GC–MS combined with multivariate analysis, and the compound 18-crown-6 was found significantly changed during rice aging process. Aimed at 18-crown-6 with particular macrocyclic structure, a series of BODIPYs were targeted synthesized for the selection of sensitive chemically responsive dyes. Four dyes were chosen to construct colorimetric sensor array based on sensitivity to VOCs of aged rice samples. Data acquired from the interactions of dyes and rice VOCs were subjected to the principal components analysis (PCA) and linear discriminant analysis (LDA). The optimal performance obtained by the LDA model was 98.75% in prediction set. Application of BODIPYs in this work has improved the sensitivity and expanded the choices of colorimetric dyes for the specific detection.

开发了一种基于硼二吡咯亚甲基（BODIPY）染料的新型比色传感器阵列，以监测稻米在不同存储时间下的挥发性有机化合物（VOC）。通过GC-MS与多元分析相结合，分析了不同贮藏时间的稻米的挥发性有机化合物，发现化合物18-crown-6在稻米老化过程中发生了显着变化。针对具有特定大环结构的18冠6，有针对性地合成了一系列BODIPY，以选择敏感的化学响应性染料。基于对大米样品中VOC的敏感性，选择了四种染料来构建比色传感器阵列。从染料和大米VOC的相互作用中获取的数据经过主成分分析（PCA）和线性判别分析（LDA）。在预测集中，LDA模型获得的最佳性能为98.75％。BODIPY在这项工作中的应用提高了灵敏度，并扩大了比色染料用于特定检测的选择。