Entropy analysis and grey correlation coefficient cluster analysis of multiple indexes of 5 kinds of condiments

Abstract

Five condiments, including cinnamon, tangerine peel, clove, licorice, amomum, were selected as the research objects in Guangxi, China. The combustion heat, differential thermal gravimetric analysis, fat, crude fiber, trace element, calcium and ash content data for 5 condiments were determined. According to the combustion heat, differential thermal gravimetric analysis, fat, crude fiber, trace element, calcium and ash content data of condiments, we constructed a systematic multi-index comprehensive evaluation system using entropy analysis, gray pattern recognition and grey correlation coefficient cluster analysis. The multi-index comprehensive evaluation system established by the research provides a new idea for the nutritional evaluation of condiments. This research provides a strong scientific basis for the large-scale development of condiment resources and condiment classification research, basic support for the selection of condiment raw materials.