Liquid food quality fingerprint-based identifier

Abstract

The invention discloses a liquid food quality fingerprint-based identifier. A computer is connected with a signal generation and acquisition controller; a first analog output end of the signal generation and acquisition controller is connected with a constant potential unit; the analog input end of the signal generation and acquisition controller is connected with a current-voltage conversion circuit; the INT end of an analog switch is connected with a second analog output end of the signal generation and acquisition controller; the EA end of the analog switch is connected with the digital output end of the signal generation and acquisition controller; the current-voltage conversion circuit is connected with the analog switch connected with a working electrode conversion device which is connected with a working electrode of a fingerprint collector; and a reference electrode of the fingerprint collector and an auxiliary electrode are connected with the constant potential unit respectively. The identifier has the advantages that: the circuit is simple in manufacturing and stable; the operation is simple and quick; and total liquid food information can be acquired effectively.

Description

technical field [0001] The invention relates to a detection instrument for liquid food, in particular to a fingerprint recognition instrument for liquid food. Background technique [0002] Liquid food (milk, white wine, fruit juice, rice wine, red wine) plays a very important role in people's daily life, and people pay more and more attention to food safety in recent years, so food quality testing plays an important role in food safety assurance play a very important role. At present, most of the food quality testing is to detect a single representative substance, but the equipment used is complex and expensive, especially the operation cycle is long, and rapid detection cannot be achieved. Moreover, the substances contained in the same food type are relatively close, and the quality differences between products of the same type, different origins, different manufacturers, and different batches are smaller, which increases the difficulty of food quality testing and makes it...

AI Technical Summary

Problems solved by technology

At present, most of the food quality testing is to detect a single representative substance, but the equipment used is complex and expensive, especially the operation cycle is long, and rapid detection cannot be achieved.

Moreover, the substances contained in the same food type are relatively similar, and the quality differences between products of the same type, different origins, different manufacturers, and different batches are smaller, which increases the difficulty of food quality testing and makes it impossible for a single quality parameter to be accurate. Effective expression of the quality of various foods

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