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Food crispness detection method

A detection method and food detection technology, which is applied in the processing of detection response signals, and the use of sound waves/ultrasonic waves/infrasonic waves to analyze solids, etc., which can solve the problems of expensive detection equipment, time-consuming and labor-intensive, human interference, etc.

Inactive Publication Date: 2016-02-03
JILIN UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the problems of serious human interference, time-consuming and laborious, and expensive detection equipment in the prior art, and to provide a food crispness detection method based on the sound signal of food fracture

Method used

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Experimental program
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Embodiment

[0218] The steps of the food brittleness prediction method based on the food fracture sound signal are as follows (taking potatoes as an example):

[0219] 1. Construction of food crispness detection model

[0220] 1) Acquisition of sample brittleness mechanical characteristics

[0221] (1) Sample processing

[0222] The sample is prepared as a rectangular block whose length, width, and height are 2cm×1cm×1cm respectively. In order to set the brittleness gradient, the sample block is placed in a drying oven for drying treatment. The drying temperature is 60°C, and the drying time interval is 5 minutes, until no sound signal can be recorded when the sample breaks, and a total of 10 moisture gradient samples are obtained.

[0223] (2) Test conditions: single compression, test speed: 1mm / s, test distance: 6mm, trigger point load: 0.1N, choose a wedge-shaped indenter to crush the sample placed on the self-made sample table, and obtain the mechanical curve The first peak is the ...

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Abstract

The invention discloses a food crispness detection method in order to solve the problems that in the prior art, manual interference is serious, time and labor are wasted and detection equipment is expensive. The method includes the steps that firstly, whether a food crispness detection model is built or not is judged, if not, the fourth step namely food crispness actual measurement starts, and if yes, the second step namely building of the food crispness detection model starts; secondly, the step of building the food crispness detection model includes the sub-steps that firstly, food crispness mechanical characteristics are obtained, secondly, food breaking sound signals are collected, thirdly, the food breaking sound signals are denoised, fourthly, a time domain eigenvalue and a frequency domain eigenvalue of the sound signals are extracted, and fifthly, the food crispness detection model is built; thirdly, whether the food crispness detection model is already built or not is judged, if no, the food crispness detection model continues to be built, and if yes, the fourth step namely food crispness actual measurement starts for use; fourthly, food crispness actual measurement is conducted, wherein the extracted time domain eigenvalue is substituted into the built food crispness detection model, a food crispness value is calculated, and a food crispness measurement result is output.

Description

technical field [0001] The invention relates to a detection method belonging to the technical field of food, more precisely, the invention relates to a detection method of food crispness. Background technique [0002] Food crispness is an important quality aspect to evaluate the sensory quality of food, and to a certain extent, crispness also reflects the freshness and maturity of food. [0003] At present, there are three main methods for measuring food crispness: sensory measurement, mechanical measurement and acoustic measurement. Sensory measurement is time-consuming and labor-intensive, and is prone to errors caused by evaluator preferences, physical conditions, terminology understanding, and cultural differences; mechanical measurement equipment is relatively expensive and has certain differences from human senses; acoustic detection can well overcome the above two methods In addition, when evaluating the crispness of food by sensory, the sound of food breaking is oft...

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Application Information

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IPC IPC(8): G01N29/04G01N29/44
Inventor 孙永海黄碧竹于立波陈方媛刘洋
Owner JILIN UNIV