Rapid nondestructive distinguishing method of Chinese walnuts with different fresh degrees based on electronic nose

Abstract

The invention discloses a rapid nondestructive distinguishing method of Chinese walnuts with different fresh degrees based on an electronic nose. The rapid nondestructive distinguishing method comprises the following steps: directly carrying out body detection on top air of Chinese walnut samples with the known fresh degrees by utilizing the electronic nose; extracting characteristic values by adopting a plurality of types of characteristic extracting methods; selecting the characteristic value with the best fresh degree distinguishing effect in online judgment and analysis as a final characteristic value; constructing a fresh degree distinguishing model composed of at least three sub-models; calculating introduced characteristic values of unknown samples by each sub-model in the fresh degree distinguishing model, and outputting the fresh degrees of the unknown samples; and by counting up the quantity of the fresh degrees output by each distinguishing sub-model in the fresh degree distinguishing model, and obtaining the fresh degrees, namely the fresh degrees of the unknown samples, when the unknown samples are judged to be the samples with the most number of times of the fresh degrees. With the adoption of the method, an accidental error phenomenon, which possibly occurs, of the fresh degree distinguishing model established based on a single distinguishing algorithm is avoided; and the distinguishing accuracy is high so that the rapid nondestructive distinguishing method is worthy of being widely popularized.

Description

technical field [0001] The invention relates to the field of agricultural product quality detection, in particular to a method for quickly and nondestructively distinguishing pecans with different freshnesses based on an electronic nose. Background technique [0002] Pecan is a unique nut product in my country. It is more and more popular among consumers because it is rich in nutrients such as oil and protein. During the storage process of hickory nuts, the nuts will become rancid and deteriorate, resulting in a great reduction of their nutritional value. The traditional methods for detecting the freshness of pecans often use physical and chemical index detection and sensory evaluation. Both of these two detection methods have some problems: the detection of physical and chemical indicators requires complex pre-sample processing and expensive instruments, etc.; sensory evaluation has disadvantages such as strong subjectivity, poor repeatability, and long time consumption. ...

AI Technical Summary

Problems solved by technology

Both of these two detection methods have some problems: the detection of physical and chemical indicators requires complex pre-sample processing and expensive instruments, etc.; the sensory evaluation has disadvantages such as strong subjectivity, poor repeatability, and long time consumption.

Due to these problems, the promotion of physical and chemical index detection and sensory evaluation in actual production is difficult

Images