Method for detecting hydrogen sulfide in pork based on nano color-sensitive biomimetic sensing technology

Abstract

The invention discloses a method for detecting hydrogen sulfide in pork based on a nano color-sensitive biomimetic sensing technology. The pork hydrogen sulfide specific nano color developing materialruthenium nano particles can be controllably synthesized, and combined with the a preferred traditional color-sensitive material to construct a nano bionic sensor; noise filtering, purification and feature extraction of the data are carried out in combination with multiple information mining algorithms; feature extraction is carried out by using algorithms such as variable combination cluster analysis and iterative reservation of effective variables; the method further comprises the following steps: constructing a quantitative evaluation model of hydrogen sulfide gas by using multiple intelligent learning algorithms such as multivariate resolution, a Mahalanobis system, a fuzzy support vector machine, a self-adjusting extreme learning machine, a self-adjusting artificial neural network and the like; and analyzing a specific nano chromogenic material and a chromogenic mechanism of hydrogen sulfide to realize accurate, specific, sensitive and indirect detection of pork hydrogen sulfide.According to the present invention, the new nanometer visual odor detection idea is expanded to the color-sensitive sensing field, the hydrogen sulfide gas in the pork can be specifically captured byusing the nanometer color developing material, and the gas information can be presented in the image color by combining the color-sensitive sensing technology so as to easily and intelligently process the information.

Description

technical field [0001] The invention belongs to the technical fields of food safety and environmental monitoring, and in particular relates to a method for detecting hydrogen sulfide in pork using nanotechnology and color sensitive bionic sensing technology. Background technique [0002] As the main source of meat in my country, pork accounts for 60% of the total meat consumption. In recent years, with the improvement of people's living standards and the continuous promotion of health concepts, their consumer demand has changed from simple quantity to quality. Pork is rich in nutrients, and it is easily polluted by microorganisms during processing and storage, which will cause spoilage. The main reason for the deterioration of pork is that spoilage microorganisms use the nutrients in pork to metabolize themselves and produce characteristic volatiles, which in turn leads to a decline in its odor and quality. Under suitable conditions, protein is decomposed into amino acids ...

AI Technical Summary

Problems solved by technology

[0003] At present, the controllable synthesis and precise assembly of pork hydrogen sulfide-specific nano-chromogenic materials at the nanoscale, combined with preferred traditional color-sensitive materials, to construct nano-bionic sensors, combined with wavelet analysis, ant colony optimization and other information Mining algorithms are used to filter noise and purify data, use variable combination cluster analysis, iteratively retain effective variables for feature extraction, use multivariate resolution, Martin system, fuzzy support vector machine, self-adjusting extreme learning machine, self-adjusting artificial neural network, etc. An intelligent learning algorithm to build a quantitative evaluation model for hydrogen sulfide gas, and analyze the color development mechanism of specific nano-chromogenic materials and hydrogen sulfide, and then realize the sensitive and specific detection of hydrogen sulfide in pork is still rarely reported in the literature

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