Method for quickly and non-destructively detecting variety, sugar degree and acidity of apple

Abstract

The invention discloses a method for quickly and non-destructively detecting variety, sugar degree and acidity of an apple, and belongs to the technical field of food detection. The method disclosed by the invention comprises the following steps: acquiring a near infrared spectrum of an apple sample, and simultaneously, respectively detecting the sugar degree and the acidity of the apple through a handheld refraction sugar degree meter and a pen type pH meter; then, performing dimension reduction processing on the pre-processed apple spectrum data with a principal component analysis method, and optimizing by using a genetic algorithm; finally, classifying with a BP neural network method, and finally, determining an optimal prediction model through repeated verification. According to the BP neural network-based prediction model established by the invention, the variety, the sugar degree and the acidity of the apple can be predicted very well. In a conventional method, the apple is required to be damaged, so that the conventional method is destructive detection; moreover, the sugar degree and the acidity are required to be detected respectively; the variety of the apple cannot be detected through a suitable method. The method has the advantages of non-destructiveness, quickness, low cost, no sample pre-treatment, no chemical reagent, no pollution and the like; moreover, the variety, the sugar degree and the acidity of the apple can be predicted simultaneously.

Description

technical field [0001] The invention belongs to the technical field of food detection, and in particular relates to a method for rapidly and nondestructively detecting the variety, sugar content and acidity of apples. Background technique [0002] In recent years, with the improvement of living standards, people's consumption of fruits is increasing day by day. The requirements for fruit quality are no longer limited to appearance, and people pay more attention to its inner quality. Sugar content and acidity are important indicators of the internal quality of fruits, not only affecting the sweetness and color of fruits, but also important raw materials for the synthesis of carotenoids and other nutrients. As a big fruit producing country in the world, my country has a wide variety of apples, and better varieties are also one of the important determinants of people's selective consumption. Therefore, rapid detection of fruit varieties and internal quality can better meet co...

AI Technical Summary

Problems solved by technology

Near-infrared spectroscopy has been used to detect the sugar content of apples, but the samples of the subjects studied were limited

For different varieties of apples on the market, there is still a lack of effective methods for the detection of sugar content and acidity

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