Rice production place tracing method based on B-Z oscillation system

Abstract

The invention discloses a rice production place tracing method based on a BZ oscillation system, and belongs to the technical field of food identification. According to the present invention, the BZ chemical oscillation reaction in which malonic acid participates is interfered by rice, and the oscillation reaction conditions are strictly controlled to obtain the electrochemical fingerprint with the significant fingerprint characteristic so as to provide the experimental basis for the identification of rice from different production places. Compared with other chemical methods for identifying the rice, the method only needs to treat the rice into powder, and other tedious, complex and consumable pretreatment is not needed. Meanwhile, the electrochemical fingerprint spectrum can reflect thedifference of rice component types and contents and can also reflect the difference of chemical properties of components, the identification accuracy is higher than 80%, the effect is good, and the application prospect is wide.

Description

technical field [0001] The invention belongs to the technical field of food identification, in particular to a method for tracing the origin of rice based on a B-Z oscillation system. Background technique [0002] Rice is the main food of our people, providing the human body with major nutrients such as carbohydrates, protein, fat, and dietary fiber, as well as a large amount of trace elements necessary for the human body. Its quality is closely related to its geographical origin. Geographical indication rice is very popular among consumers because of its good taste and quality. However, its low output, wide variety and different prices lead to serious counterfeit production and sales, disturbing market order, harming the interests of consumers, and harming consumers. potential health hazard. Faced with the phenomenon of difficult control of product quality and chaotic market competition in domestic rice, it is urgent to improve the status quo of difficult identification of...

AI Technical Summary

Problems solved by technology

However, these methods have certain defects. For example, the electronic information coding technology has the possibility of misleading and pasting traceability codes; there are many chemical identification and testing items, the testing process is cumbersome and time-consuming, and the testing equipment is expensive. A large amount of data analysis and reference material collection are required. And the artificial forgery of specific chemical indicators will cause serious interference to chemical identification methods; biological identification requires severe processing conditions and extreme storage conditions, and a large number of samples are required to establish a DNA database; intelligent sensory bionic technology affects the interference of identification results There are many factors; chemical component cluster characterization technology is only suitable for quality evaluation of samples with complex matrix components

[0004] In recent years, Raman spectroscopy, enhanced Raman spectroscopy, hydrogen nuclear magnetic resonance spectroscopy, two-dimensional nuclear magnetic resonance spectroscopy, mass spectrometry and other fingerprint techniques combined with pattern recognition techniques have made some research progress in the identification and analysis of rice origin, but these The methods are all based on the detection of physical and chemical signals of rice in a steady state or equilibrium state, focusing on characterizing the types and content information of rice components, which cannot reflect the differences in chemical properties of rice components. The nonlinear chemical fingerprinting technology is proposed to overcome this problem. , which is based on the real-time tracking of the non-equilibrium reaction process by the electrochemical workstation to obtain the kinetic fingerprint. It is a new technology for identifying and evaluating samples based on the principle of chemical reactions far away from equilibrium conditions. However, the electrochemical fingerprint technology has only been proposed for more than ten years. , its application research on rice identification is less, and two B-Z (Belousov-Zhabotinski) oscillation reaction systems are commonly used. The system in which acetone participates needs to use the dissipative substances in the sample to participate in the reaction, and the induction period is generally longer. It is conducive to rapid detection and analysis, and it needs to be carried out in a closed system, which has strict requirements on the sealing of the reaction

[0005] In the analysis and identification of rice, the sources of the analytes are often complicated, with various types, different production processes, and complex compositions. Only relying on one or a few of the component indicators to determine its type, authenticity or evaluate its quality lacks scientific rigor , the results are less reliable, and often provide an opportunity for counterfeit and inferior products to enter the market

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