Lin Hao, Kang Wen-Cui, Jin Hong-Juan, Man Zhong-Xiu, Chen Quan-Sheng
School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013 Jiangsu People's Republic of China.
Food Sci Biotechnol. 2020 Apr 19;29(8):1037-1043. doi: 10.1007/s10068-020-00757-z. eCollection 2020 Aug.
In this study, a novel colorimetric sensor array based on chemo dyes including porphyrins and pH indicators were developed to analyse the volatile organic compounds of Chinese Baijiu with different grades. Ethyl acetate, ethyl butyrate and ethyl caproate appeared by significantly different concentration in different Baijiu grades measuring by gas chromatography and mass spectrometry and they were chosen as characteristic volatile organic components. The olfactory visualization system based on colorimetric sensor arrays was used to identify different Baijiu grades. The data were processed by building the principle components analysis, linear discriminant analysis and K-nearest neighbor classification models with the results of sensory evaluation and olfactory visualization system. This work presents a new-style colorimetric sensor using sensitive chemo dyes which has significant potential in quantitative analysis of volatile organic compounds, afterwards identifying different grades of Baijiu.
在本研究中,开发了一种基于包括卟啉和pH指示剂在内的化学染料的新型比色传感器阵列,用于分析不同等级中国白酒的挥发性有机化合物。通过气相色谱-质谱联用测定,不同等级白酒中乙酸乙酯、丁酸乙酯和己酸乙酯的浓度存在显著差异,它们被选为特征挥发性有机成分。基于比色传感器阵列的嗅觉可视化系统用于识别不同等级的白酒。利用感官评价和嗅觉可视化系统的结果,通过建立主成分分析、线性判别分析和K近邻分类模型对数据进行处理。这项工作展示了一种使用灵敏化学染料的新型比色传感器,其在挥发性有机化合物的定量分析以及随后识别不同等级白酒方面具有巨大潜力。