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Rapid detection method for wheat freshness index

A detection method and freshness technology, applied in Raman scattering, material excitation analysis, etc., can solve the problems of cumbersome and time-consuming operation of detection indicators, lack of real-time online detection, lagging detection results, etc., to achieve fast detection speed and no pollution to the environment , the effect of reducing losses

Active Publication Date: 2015-05-06
HENAN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is a traditional chemical method, the operation of detection indicators is cumbersome and time-consuming, and it does not have the potential for real-time online detection. At the same time, the detection personnel need to undergo professional training, the detection consumes chemical reagents, and the detection results lag behind. The practical application has great limitations.

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  • Rapid detection method for wheat freshness index

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] S11. Collect representative samples of wheat with different freshness according to GB / T20571-2006 standard. The representative samples of wheat with different freshness include samples that are suitable for storage, samples that are slightly unsuitable for storage, and samples that are severely unsuitable for storage. The number of each category is greater than or equal to 100, the samples suitable for storage, samples that are slightly unsuitable for storage, and samples that are severely unsuitable for storage all involve strong, medium, and weak gluten wheat. The number of strong, medium, and weak gluten samples is balanced, and each sample takes 90g;

[0031] S12. Use a 1064nm laser Raman spectrometer to collect the Raman spectrum of the collected sample, collect 3 times for each sample, and take the average value as the spectrum of the sample;

[0032] S13, 401, 427, 530, 549, 813, 825, 855, 1052, 1224, 1411cm obtained in the extraction step S12 -1 Raman spectral d...

Embodiment 2

[0038] S21. According to the GB / T20571-2006 standard, collect representative samples of wheat with different freshness. The representative samples of wheat with different freshness include samples that are suitable for storage, samples that are slightly unsuitable for storage, and samples that are severely unsuitable for storage. The number of each category is greater than or equal to 100, the samples suitable for storage, samples that are slightly unsuitable for storage, and samples that are severely unsuitable for storage all involve strong, medium, and weak gluten wheat. The number of strong, medium, and weak gluten samples is balanced, and each sample takes 110g;

[0039] S22. Use a 1064nm laser Raman spectrometer to collect the Raman spectrum of the collected sample, collect 3 times for each sample, and take the average value as the spectrum of the sample;

[0040] S23, 401, 427, 530, 549, 813, 825, 855, 1052, 1224, 1411cm obtained in the extraction step S22 -1 Raman spec...

Embodiment 3

[0046] S31. Collect representative samples of wheat with different freshness according to GB / T20571-2006 standard. The representative samples of wheat with different freshness include samples that are suitable for storage, samples that are slightly unsuitable for storage, and samples that are severely unsuitable for storage. The number of each category is greater than or equal to 100, the samples suitable for storage, samples that are slightly unsuitable for storage, and samples that are severely unsuitable for storage all involve strong, medium, and weak gluten wheat. The number of strong, medium, and weak gluten samples is balanced, and each sample takes 100g;

[0047] S32. Use a 1064nm laser Raman spectrometer to collect the Raman spectrum of the collected samples, collect 3 times for each sample, and take the average value as the spectrum of the sample;

[0048] S33, 401, 427, 530, 549, 813, 825, 855, 1052, 1224, 1411cm obtained in the extraction step S2 -1 Raman spectral ...

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Abstract

The invention discloses a rapid detection method for a wheat freshness index. The method comprises the following steps: collecting raman spectrums of massively stored wheat with different freshness by adopting a 1064nm laser raman spectrometer, to obtain characterized raman spectrum wavelength characterizing the freshness and further establish stored wheat identification models with different freshness grades, and judging unknown samples by using the models. The rapid detection of the wheat freshness index can be realized by adopting an optical method, namely a raman spectrum technology, the detection speed is fast, and detection can be completed for several seconds, the rapid detection method has no requirement on the professions of operating personnel, belongs to green technology and has online real-time detection potential, the freshness information of the stored wheat can be rapidly detected in real time, obvious social, economic and environment benefits can be achieved, the safety of national reserved grain can be guaranteed, the loss of the reserved grain can be reduced, and the green detection technology does not cause environment pollution.

Description

technical field [0001] The invention relates to the field of detection of wheat freshness indexes, in particular to a rapid detection method of wheat freshness indexes. Background technique [0002] Wheat is one of the main types of grain reserves in my country, and its reserves and scale are astonishing, which is of great significance to ensuring national food security. The storage period of wheat in my country is generally 3-5 years. During the storage period, the metabolism of wheat itself is slow, the quality gradually deteriorates, and the freshness becomes poor. If the external storage conditions are not properly managed, such as insect and mold infestation, poor warehouse facilities, etc., the quality of stored wheat will deteriorate sharply. Therefore, during the storage period, it is urgent to strengthen the detection of the freshness of the stored wheat in order to take reasonable storage measures to ensure the safety of the national grain reserves. The current d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/65
Inventor 黄亚伟王若兰
Owner HENAN UNIVERSITY OF TECHNOLOGY