Method for evaluating browning degrees of Chinese chestnuts by using colorimeter

Abstract

The invention belongs to the technical field of food detection, and discloses a method for evaluating the browning degrees of Chinese chestnuts by using a colorimeter. The method comprises the following steps: (1) sample preparation, namely selecting more than two varieties of Chinese chestnuts, cutting the Chinese chestnuts by virtue of a sharp knife, and peeling off episperm and endopleura, so as to obtain a sample to be detected; (2) colorimeter determination, namely selecting a diffuse reflection D65 light source, determining the sample to be detected, and recording data Delta Eab, Delta L, Delta a and Delta b; and (3) analyzing the data Delta L, and evaluating different browning degrees of the Chinese chestnuts by using the Delta L. According to the method, the browning degrees of the Chinese chestnuts are detected by taking the precision colorimeter as a tool; the numerical values Delta L which reflect the browning degrees of the surfaces of the cooked Chinese chestnuts can be quickly read by using the colorimeter; not only can subjective evaluation be avoided, but also further oxidative browning, which is caused in a long-term grinding process, can be avoided, the time for evaluating the browning degrees of Chinese chestnut kernels can be significantly shortened by virtue of the colorimeter, and concrete data for evaluating the browning degrees can be quickly obtained.

Description

technical field [0001] The invention belongs to the technical field of food detection, and in particular relates to a detection method for chestnut browning. Background technique [0002] Chestnut (Castanea mollissima) originates in my country, is the main dried fruit tree species in China, and is also one of the earliest economic tree species utilized in my country. There has been a cultivation history of more than 3,000 years. In recent years, my country's chestnut industry has developed rapidly. As early as the beginning of the 21st century, the chestnut planting area was about 1.23 million ha 2 , with an annual output of more than 500,000 tons, accounting for more than half of the world's total chestnut output and ranking first in the world. As of 2013, the national chestnut output has reached more than 2 million tons, becoming one of the fastest growing fruits in my country after apples. Chestnut kernel is rich in protein and starch, rich in nutrition, sweet in flavor...

AI Technical Summary

Problems solved by technology

[0005] In the subjective grading evaluation method, due to the different experience and experience of people, the evaluation of the degree of browning of chestnut kernels will also be different, and the results will vary from person to person. It is difficult to obtain a unified standard result, so this method large error

[0006] In the process of spectrophotometer evaluation, it is necessary to grind the processed chestnut kernels. During the grinding process, the chestnut kernels will be more in contact with the air, and browning caused by oxidation cannot be avoided, and further browning cannot be carried out. Effective control, this will cause inaccurate results, large errors will cause low repetition rate of test results, and it is difficult to make an accurate evaluation of the browning degree of chestnuts

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