嗅觉可视化技术及其对四种食醋的识别

    Identification of four vinegars by olfaction visualization technology

    • 摘要: 不同的食醋散发的香味具有一定的相似性,同时又有各自的特征,怎样快速表达这些特征是一大难点。本研究根据Kenneth S. Suslick教授的思路,筛选出23种卟啉类化合物和7种疏水性pH指示剂,制成一个5×6气体可视化传感器阵列。文章详细介绍了嗅觉可视化系统及其操作步骤,并利用气体可视化传感器阵列对4种传统食醋进行了测试。聚类分析表明,当取相似度为12时,样本被区分为镇江香醋、山西老陈醋、四川麸醋、浙江玫瑰米醋。研究表明嗅觉可视化技术可用于食品气味的可视化分析和图像指纹表达。

       

      Abstract: There are some similar chemical compounds for different vinegars aroma.. How to identify the similar character aroma of different vinegars is a difficult problem. Twenty-three chemoresponsive dyes and seven pH dyes were selected, and a 5×6 colorimetric sensor array was made according to the idea of Professor Kenneth S. Suslick. The system of olfaction visualization and operational approach were discussed in this paper. Four traditional vinegars were measured by the colorimetric sensor array. With cluster analysis, all samples can be divided into ‘Zhenjiang Vinegar’, ‘Shanxi Vinegar’, ‘Sichuan Vinegar’, ‘Zhejiang Vinegar’ when the similarity is 12. This research shows that the olfaction visualization technology has potential applications in visual analyzing and fingerprint identifying the aroma of food.

       

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