Method and device for detecting abnormal ingredient in subsidiary agricultural product
A technology for agricultural and sideline products and abnormal components, which can be used in measurement devices, analysis materials, and material analysis by optical means, which can solve problems such as time-consuming and destroying samples.
Active Publication Date: 2014-04-30
深圳市安鑫宝科技发展有限公司 +1
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[0003] However, the traditional method is mainly through chemical reaction, which is time-consuming and will destroy the sample
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[0034] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0035] Such as figure 1 As shown, in one embodiment, a method for detecting abnormal components of agricultural and sideline products is provided, and the method includes:
[0036] Step S110: Collect the reflected or transmitted infrared signal of the agricultural and sideline product sample to be detected.
[0037] The so-called agricultural and sideline products are the by-products brought about by agricultural production, including agricultural, forestry, animal husbandry, sideline, and fishery products. They are divided into grains, cash crops, bamboo wood, industrial oil and lacquer glue, po...
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A method for detecting an abnormal ingredient in a subsidiary agricultural product comprises the followings: collecting a reflection or transmission infrared signal of a to-be-detected subsidiary agricultural product sample, transmitting the infrared signal to a near-infrared spectroscopy, acquiring a near infrared spectrum data matrix of the to-be-detected subsidiary agricultural product sample through light splitting and detecting, using nonlinear iteration partial least squares in chemometrics for the near infrared spectrum data matrix to extract the main ingredient, calculating a first mahalanobis distance between the main ingredient data matrix and a main ingredient data matrix of a known subsidiary agricultural product sample containing no abnormal ingredient, calculating a second mahalanobis distance between the main ingredient data matrix of the to-be-detected subsidiary agricultural product sample and the main ingredient data matrix of the known subsidiary agricultural product sample containing the abnormal ingredient, and judging whether the to-be-detected subsidiary agricultural product contains the abnormal ingredient according to the first mahalanobis distance and the second mahalanobis distance. The invention further discloses a device for detecting the abnormal ingredient in the subsidiary agricultural product. According to the method and the device, provided by the invention, the sample can not be damaged, and the detection is fast.
Description
Technical field [0001] The invention relates to a method for detecting abnormal components of agricultural and sideline products, in particular to a method and a device for detecting abnormal components of agricultural and sideline products realized by adopting near-infrared spectroscopy combined with nonlinear iterative partial least squares method. Background technique [0002] Food safety issues have always been the focus of global attention. Food safety accidents caused by adulterated substances in agricultural and sideline products involve a wide range of damages, and the social impact and economic losses caused are huge. Therefore, the research and development of methods and devices capable of detecting adulteration of agricultural and sideline products is the goal of those skilled in the relevant fields. [0003] However, the traditional method is mainly through chemical reaction, which is time-consuming and will damage the sample. Summary of the invention [0004] Based on...
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IPC IPC(8): G01N21/359
Inventor 唐国林袁娜娜
Owner 深圳市安鑫宝科技发展有限公司