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Prediction method of titratable acid content in mango after impact injury based on hyperspectral

A technology of impact damage and prediction method, which is applied in chemical analysis by titration method, measuring device, material analysis by optical means, etc. It can solve problems such as unsatisfactory prediction effect of titratable acid content and connection of quality parameter damage degree, etc. , to achieve the effects of reducing dimensions, accurately detecting and evaluating, and improving accuracy

Active Publication Date: 2020-02-14
TIANJIN UNIV OF COMMERCE
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the models established by existing studies are not ideal for the prediction of titratable acid content, and there are no studies linking the changes of mango quality parameters after injury with the degree of injury

Method used

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  • Prediction method of titratable acid content in mango after impact injury based on hyperspectral
  • Prediction method of titratable acid content in mango after impact injury based on hyperspectral
  • Prediction method of titratable acid content in mango after impact injury based on hyperspectral

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Prediction method of titratable acid content in mango after impact damage based on hyperspectral, the steps are as follows:

[0046] 1) The generation of sample impact damage

[0047] 330 mangoes with basically the same hardness, color and size and without any damage were randomly classified into a control group (60) and an experimental group (270), and the experimental group samples were divided into 3 groups (90 in each group) for three For daily observation, each group of samples is then divided into 3 subgroups (30 in each group) for free fall from 3 different drop heights (0.5m, 1.0m, 1.5m) to produce impact damage, using a drop tester In the drop test, two types of samples were formed: the damaged sample and the undamaged sample of the control group.

[0048] 2) Extract sample spectrum

[0049] The mango samples were divided into two types: damaged (experimental group) and undamaged (control group), and were scanned by a near-infrared hyperspectral imaging syste...

Embodiment 2

[0077] Prediction method of titratable acid content in mango after impact damage based on hyperspectral, the steps are as follows:

[0078] 1) The generation of sample impact damage

[0079] 210 mangoes with basically the same hardness, color and size and without any damage were randomly classified into a control group (30) and an experimental group (180), and the experimental group samples were divided into 3 groups (60 in each group) for three For the daily observation, each group of samples is then divided into 3 subgroups (20 in each group) for free fall from 3 different drop heights (0.5m, 1.0m, 1.5m) to produce impact damage, using a drop tester In the drop test, two types of samples were formed: the damaged sample and the undamaged sample of the control group.

[0080] 2) Extract sample spectrum

[0081] The mango samples were divided into two types: damaged (experimental group) and undamaged (control group). The spectra of 210 mango samples were collected and scanned...

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Abstract

The invention discloses a method for predicting titratable acid content after mango impact damage based on hyperspectrum. The method comprises dividing mango samples into an undamaged control group and a damaged experimental group, making the samples in the experimental group freely fall from different heights, acquiring hyperspectral images of all the samples through a hyperspectral imaging system, simultaneously, determining titratable acid content of the mango through an indicator titration method, and building a fruit titratable acid content predicting model through combination of a spectrum pretreatment method, a characteristic wavelength extraction method and a statistical method, wherein the model is used for predicting titratable acid content after mango impact damage. The method effectively evaluates the influence caused by mechanical damage on the mango fruit titratable acid content based on the hyperspectral imaging technology and the mathematical modeling process, has the advantages of no damage, rapidness and accuracy and effectively detects titratable acid content change of the damaged mango.

Description

technical field [0001] The invention relates to a hyperspectral-based method for determining titratable acid content in mangoes, in particular to a hyperspectral-based method for predicting titratable acid content in mangoes after impact damage. Background technique [0002] As one of the important tropical and subtropical fruits, mango has high nutritional value and has always been favored by consumers. However, it is very vulnerable to mechanical damage during harvesting, transportation and packaging, which leads to a decrease in the post-harvest quality of the fruit. Among them, impact damage is the most serious and the most likely to occur. Once the fruit is damaged, its physiological changes lead to accelerated ripening during storage. The content of titratable acid is one of the important parameters to evaluate the ripeness of mango. At present, many studies are based on the advantages of non-destructive detection of hyperspectral imaging technology and the change of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/359G01N21/3563G01N31/16
CPCG01N21/3563G01N21/359G01N31/16
Inventor 王怀文徐夺花计宏伟郑鸿飞朱梦钰崔依凡
Owner TIANJIN UNIV OF COMMERCE
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