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Pesticide residue detection method based on near infrared spectrum data feature extraction

A pesticide residue detection and near-infrared spectroscopy technology, applied in measuring devices, material analysis by optical means, instruments, etc., can solve the final results affecting pesticide residue detection, chemical group absorption peak overlap, and data differences are small. and other problems to achieve the effect of improving classification accuracy and generalization ability, improving extractability, and improving separability.

Active Publication Date: 2020-01-14
NANJING FORESTRY UNIV
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Problems solved by technology

[0003] However, the absorption spectrum peak signal of the near-infrared spectrum is relatively weak and the absorption spectrum peaks of the chemical groups overlap seriously, resulting in a small difference in the near-infrared spectrum data of the two types of samples with pesticide residues and no pesticide residues in the spectral analysis, making it difficult to determine classification, which affects the final results of pesticide residue testing

Method used

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  • Pesticide residue detection method based on near infrared spectrum data feature extraction
  • Pesticide residue detection method based on near infrared spectrum data feature extraction
  • Pesticide residue detection method based on near infrared spectrum data feature extraction

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Embodiment 1

[0053] This embodiment provides a pesticide residue detection method based on near-infrared spectrum data feature extraction, which includes the following steps:

[0054] Step (1). Prepare a training sample set. The training sample set includes several fruits and vegetables with and without pesticide residues. Use the IAS-2000 near infrared spectrometer to collect the near-infrared spectra of the training samples;

[0055] Step (2), the second-order derivation of the near-infrared spectrum data of the sample in the sample data set obtained in step (1), processing the spectral data by the second-order derivative can amplify the signal of the original spectral data to a certain extent and eliminate the acquisition The background information contained in the spectral data makes the chemical groups in the original spectral data more prominent in the spectral peaks, which effectively improves the extractability of the features in the spectral data; the second derivative formula is as fol...

Embodiment 2

[0098] On the basis of Embodiment 1, the difference of Embodiment 2 is that the preparation methods of training samples and test samples are specifically as follows:

[0099] Step (1), select Shanghai greens purchased from the vegetable market as samples, and randomly select 80 leaves with uniform color, moderate leaf size, no damage to the leaves and no yellow edges;

[0100] Step (2). The pesticide used in this embodiment is dimethoate (C5H12NO3PS2), which is widely used in agricultural production, and the formulation is emulsifiable concentrate with a mass percentage of 40%, which is produced by Jiangsu Tenglong Biological Pharmaceutical Co., Ltd. Use distilled water to prepare pesticides into 30 solutions with an interval of 50 from 1:50 to 1:1500, and place them in 30 250ml volumetric flasks;

[0101] Step (3), first soak 80 leaves in soda water for about 5 minutes, then rinse them with clean water repeatedly, and place them in a ventilated place to dry naturally; then divide 60...

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Abstract

The invention discloses a pesticide residue detection method based on near-infrared spectrum data feature extraction. The method comprises the following steps: step (1), collecting a near-infrared spectrum of a training sample and carrying out second-order derivation; step (2), feature extraction; step (3), constructing a classification model; step (4), acquiring a near infrared spectrum of a testsample, performing second-order derivation, and mapping data subjected to second-order derivative processing to a feature space by utilizing the feature matrix w; and step (5), performing category affiliation judgment on the data obtained in the step (4) by utilizing a binary classification model. According to the method, the characteristic information of the near-infrared spectrum data is amplified, the adverse effect of noise samples in the obtained near-infrared spectrum data on original data classification is reduced, and the separability of samples with pesticide residues and samples without pesticide residues in the near-infrared spectrum data is improved.

Description

Technical field [0001] The invention belongs to the technical field of pesticide residue detection, and specifically relates to a pesticide residue detection method based on near-infrared spectrum data feature extraction. Background technique [0002] The near-infrared spectrum is consistent with the combined frequency of the hydrogen-containing group vibration in the organic molecule and the absorption region (780-2500nm) of each level of frequency doubling. The absorption peak information of the near-infrared spectrum can be used to obtain the chemical group information in the measured organic substance , In order to analyze or detect the chemical composition and content of the tested organic matter. In order to meet the requirements of fast, convenient and intelligent pesticide residue detection in agricultural agricultural products, some scholars use near-infrared spectroscopy to detect pesticide residues. [0003] However, the absorption peak signal of the near-infrared spect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G01N21/359
CPCG01N21/359G06F18/213G06F18/2411G06F18/2414G06F18/214
Inventor 谢德红金典徐康董洪荣
Owner NANJING FORESTRY UNIV
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