Electronic nose used for food safety monitoring

Abstract

The invention relates to an electronic nose used for food safety monitoring, which comprises an MEMS sensor group, a signal processing circuit and a computer, wherein the MEMS sensor group comprises an environmental sensor and a plurality of gas sensors; the environmental sensor is used for acquiring the response of the temperature change of the gas environment; each gas sensor is used for acquiring the response of the concentration change of each gas composition; the signal processing circuit is used for storing a voltage signal output by each sensor to obtain a corrected frequency signal of temperature drift by differential operation and doing the time differentiation for the corrected frequency signal to obtain a frequency shift signal output to a control module; the control module and a pattern recognition module are pre-arranged in the computer; the control module is used for sending work orders to each sensor, the signal processing circuit and the pattern recognition module and transmitting the signal input by the signal processing circuit to the pattern recognition module; and the pattern recognition module is used for analyzing and processing the signal input by the control module and judging the composition information of the gas to be detected. The electronic nose has simple structure and is suitable for the long-time monitoring in different food storage environments.

Description

technical field [0001] The invention relates to a food safety monitoring device, in particular to an electronic nose for food safety monitoring. Background technique [0002] Food monitoring is the basic means to ensure food safety, but it is difficult to grasp the food safety situation in a timely and comprehensive manner by means of laboratory sampling inspection. In order to ensure food safety, strict quality control should be carried out in all links of production, storage, processing, packaging and circulation of food raw materials (grain, meat, dairy products, fruits and vegetables, etc.). The smell of food or food raw materials can reflect its freshness and harmful substance contamination. The smell of food is the result of all the VOCs in the food working together. [0003] Traditional odor detection techniques include manual identification and instrumental analysis. The manual identification method is to identify the smell with the sense of smell of a trained pro...

AI Technical Summary

Problems solved by technology

However, for the quality and safety monitoring of food raw materials in the storage process, there is no suitable electronic nose product at present, mainly because the existing electronic nose technology still needs some sample processing, and the equipment is huge and complicated, which is not suitable for the food storage environment, nor can it Enable long-term monitoring

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