Nondestructive rapid detection method for harmful chemical residues in meat products

Abstract

The invention provides a nondestructive rapid detection method for harmful chemical residues of a meat product. The method includes the steps that a spatial diffusion Raman spectrum image of a meat product sample containing the harmful chemical residues with different content is acquired; the optimal space range of the spatial diffusion Raman spectrum image is determined; Raman spatial diffusion contours at feature wave number positions of the harmful chemical residues are acquired according to the optimal space range; the Raman spatial diffusion contours at the feature wave number positions of the harmful chemical residues are fit, and feature parameters of Raman spatial diffusion are acquired; a prediction model for representing the quantitative relation between the feature parameters and the harmful chemical residues of the meat product is established through a polytomized variable modeling method; a spatial diffusion Raman spectrum image of the meat product is acquired, and the harmful chemical residues in the to-be-detected meat product are detected according to the prediction model. The method is based on spatial diffusion Raman spectrum features, and the harmful chemical residues in the meat product can be rapidly, precisely, reliably and nondestructively detected in a non-contact mode.

Description

technical field [0001] The invention relates to the technical field of meat product quality and safety detection, in particular to a non-destructive rapid detection method for harmful chemical residues in meat products. Background technique [0002] With the improvement of people's living standards, consumption concepts have gradually changed, and the quality and safety of meat products have attracted more and more attention from consumers. However, in recent years, food safety problems have occurred frequently. Harmful chemical additives such as "clenbuterol" and antibiotics are illegally added to meat products, seriously endangering the health of consumers. Food safety problems have attracted the attention of the whole society. [0003] Raman spectroscopy can provide molecular vibration and rotation information, so it is increasingly used in the detection of harmful and toxic additives in food. However, the Raman scattering effect is a very weak process, and its light int...

AI Technical Summary

Problems solved by technology

However, the Raman scattering effect is a very weak process, and its light intensity is generally only about 10 of the incident light intensity. -10 , so the Raman signal is relatively weak

However, surface-enhanced Raman spectroscopy and cutting-edge enhanced Raman spectroscopy are difficult to achieve non-destructive in-situ real-time detection of meat

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