Method for rapidly judging species source of livestock and poultry bone collagen peptide based on electronic tongue

Abstract

The invention discloses a method for rapidly distinguishing species sources of livestock and poultry bone collagen peptides based on an electronic tongue, which comprises the following steps: 1) taking different species of livestock and poultry bone collagen peptide samples and to-be-detected livestock and poultry bone collagen peptide samples, and pre-treating the samples to obtain standard solutions and to-be-detected solutions of different species of livestock and poultry bone collagen peptides; 2) respectively detecting the standard substance liquid and the liquid to be detected by using an electronic tongue detection system to obtain sensor response values of the standard substance liquid and the liquid to be detected of the livestock and poultry bone collagen peptides of different species, namely standard substance set data and to-be-detected set data respectively; and 3) performing PCA analysis and/or DFA analysis judgment on the standard product set data and the to-be-detected set data, and/or establishing a Fisher discrimination model through the standard product set data, and substituting the to-be-detected set data into the Fisher discrimination model to judge the species source of the livestock and poultry bone collagen peptide corresponding to the to-be-detected liquid. According to the method, sample pretreatment is simple and easy to implement, the detection time is short, and the judgment accuracy is high.

Description

technical field [0001] The invention relates to the technical field of identifying collagen peptides of different species of livestock and poultry. More specifically, the present invention relates to a method for quickly discriminating the species origin of livestock and poultry bone collagen peptides based on an electronic tongue. Background technique [0002] China is the world's largest producer and consumer of livestock and poultry meat. Every year, about 17 million tons of livestock and poultry bone by-products are produced during the slaughtering and processing of livestock and poultry, ranking first in the world. Livestock bone is rich in various nutritional and functional components such as bone protein (including collagen), bone polysaccharides, and bone minerals. It is an important raw material for the production of functional bone-derived foods. It is currently used to produce livestock and poultry collagen peptides The raw material bones mainly include cattle bo...

AI Technical Summary

Problems solved by technology

At present, the methods commonly used in qualitative identification and identification of food include sensory inspection, chemical analysis of quality-related physical and chemical indicators, protein-based analysis methods, nucleic acid-based analysis methods, etc. Poor, personnel need special training, etc., so it is not suitable for the detection and identification of collagen peptides in livestock and poultry

[0003] Electronic tongue is a new type of taste analysis instrument developed in recent years. It is mainly composed of interactive sensitive sensor array, signal adjustment circuit and its own pattern recognition algorithm software. By simulating five basic biological taste patterns of human taste organs (acid , sweet, bitter, salty, fresh) convert the taste characteristics of the sample into the electrical signal response data of the sensor, and obtain the taste characteristic results after analysis, which has strong objectivity, good stability, high work efficiency, and low detection threshold, which is convenient for real-time detection. Rapid analysis and identification, but there is no use of electronic tongue to identify the raw material bone species of livestock and poultry collagen peptides

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