Real-time nondestructive detection method for sugar content and acidity of peach

A non-destructive testing and sugar content technology, applied in neural learning methods, measuring devices, and material analysis through optical means, can solve the problem of limited sample sources, achieve low cost, fast speed, and no chemical reagents.

Active Publication Date: 2017-10-24
甘肃萃英大农科技有限公司
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Problems solved by technology

Near-infrared spectroscopy has been initially used to detect the sugar content of

Method used

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  • Real-time nondestructive detection method for sugar content and acidity of peach
  • Real-time nondestructive detection method for sugar content and acidity of peach
  • Real-time nondestructive detection method for sugar content and acidity of peach

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Embodiment example 1

[0027] Select two kinds of peaches with no damage on the surface and no pests and diseases: 30 peaches and nectarines as materials, and number each peach, 60 in total.

[0028] The collection of near-infrared spectral data adopts the method of diffuse reflectance, selects 20 points near the equatorial plane of each peach ring and avoids the side edges and corners and selects 20 points for spectral scanning, and the collected spectral range is 340-1021nm. 2047 points. The spectral data collected at the sampling points of each sample were used for subsequent data analysis.

[0029] The sugar content of each peach sample was detected by a handheld digital refractometer. First, clean the prism of the sugar meter with distilled water and wipe off the water, then calibrate and adjust to zero, then cut the peach whose spectrum has been measured with a clean knife and squeeze out the juice on the mirror surface of the refracting prism, and measure twice in a row , record and average...

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Abstract

The invention discloses a real-time nondestructive detection method for sugar content and acidity of a peach. The method disclosed by the invention comprises the following steps: collecting a near infrared spectrum of a peach sample; meanwhile, detecting the sugar content and acidity of the peach respectively through a handheld refractometer and a pen type pH (Potential of Hydrogen) meter; carrying out dimension reducing processing and optimization on spectrum data of the peach through main component analysis, an isometric mapping algorithm and a genetic algorithm; finally, classifying through a neural network method and carrying out a plurality of times of identification to determine an optimal predication model. The predication model based on the neural network, which is established by the real-time nondestructive detection method, can be used for predicating the sugar content and acidity of the peach. Compared with a traditional destructive detection method which needs a sample damaging process when the sugar content and acidity of the peach are detected, the real-time nondestructive detection method can be used for simultaneously detecting two indexes including the sugar content and the acidity in real time and has the advantages of rapid speed, low cost, no damages, no need of chemical reagents, no pollution and the like.

Description

technical field [0001] The invention relates to the technical field of food detection, in particular to a real-time nondestructive detection method for sugar content and acidity of peaches. Background technique [0002] my country is a large fruit producing country in the world, and the fruit industry occupies an important position in the national economy. Fruit export is an important part of my country's foreign trade. Peach is native to my country and belongs to Rosaceae deciduous small trees. So far, it has been cultivated for more than 4,000 years. China's peach production and consumption rank among the top in the world. However, due to the low commercialization of agricultural products in our country, we are often at a disadvantage in international competition. Therefore, the detection and grading technology of agricultural products has become an important research direction in the field of scientific research in my country. [0003] The traditional detection method o...

Claims

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Application Information

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IPC IPC(8): G01N21/3563G01N21/359G01N21/17G06N3/04G06N3/08
CPCG06N3/088G01N21/17G01N21/3563G01N21/359G06N3/044
Inventor 肖建喜粘琳格武臣路远路小亮
Owner 甘肃萃英大农科技有限公司
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