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A method for the detection of pesticide residues in fruits and vegetables based on near-infrared spectroscopy

A pesticide residue detection and near-infrared spectroscopy technology, applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problems of low classification accuracy, a large number of redundancy, dimensional disasters, etc., to achieve broad application potential, improve The effect of improving prediction accuracy and accuracy

Active Publication Date: 2021-06-22
NANJING FORESTRY UNIV
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Problems solved by technology

[0004] (1) As the sample data for classification and discrimination of pesticide residues and non-residues, near-infrared spectroscopy has the characteristics of high dimensionality, which makes it difficult to avoid a large amount of redundant, irrelevant information and noise, which is easy to cause errors in classification "Dimensional disaster"; due to the non-linear relationship between the peak characteristics of near-infrared spectra of fruits and vegetables without pesticide residues and fruits and vegetables with pesticide residues, the distribution of collected near-infrared spectral data samples in the feature space is extremely linear and inseparable, namely For the data of this characteristic, an effective classification model cannot be obtained to realize the non-destructive and rapid detection of pesticide residues in fruits and vegetables based on near-infrared spectroscopy;
[0005] (2) Generally, the concentration of pesticide residues enriched on the surface of fruits and vegetables is not high, the measured peak signals are relatively weak, and the degree of peak overlap is relatively high, and the data dimension of near-infrared spectroscopy is also relatively high, resulting in the detection of near-infrared spectra. Infrared data is classified by classification method to realize the qualitative judgment of pesticide residues, but the classification accuracy is not high
[0006] The above problems limit the research and application of near-infrared spectroscopy in the detection of pesticide residues

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  • A method for the detection of pesticide residues in fruits and vegetables based on near-infrared spectroscopy
  • A method for the detection of pesticide residues in fruits and vegetables based on near-infrared spectroscopy
  • A method for the detection of pesticide residues in fruits and vegetables based on near-infrared spectroscopy

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Embodiment 1

[0053] A method for detecting pesticide residues in fruits and vegetables based on near-infrared spectroscopy is provided in the present embodiment, comprising the following steps:

[0054] Step (1), construct training sample data set

[0055]Prepare a number of fruits and vegetables with and without pesticide residues as training samples, and collect the near-infrared spectra of the training samples: use the near-infrared spectrometer to set the scanning parameters, and the obtained near-infrared spectrum data is the training sample data set, the training sample data set Including pesticide residue category and pesticide non-residue category;

[0056] Step (2), preprocessing of training sample data set

[0057] Perform first-order derivative processing on each near-infrared spectral data of the training sample;

[0058] Step (3), spatial conversion of training sample data

[0059] Transform the training sample data obtained by preprocessing in step (2) from high-dimensiona...

Embodiment 2

[0091] On the basis of embodiment 1, the difference of this embodiment 2 is:

[0092] (1), step (1) of the present embodiment constructs the method for training sample dataset as follows:

[0093] Step (a), preparation of acquisition equipment: German Bruker EQUINOX55 Fourier transform spectrometer was used as the near-infrared spectrum acquisition equipment of this embodiment; spectrometer parameter settings: average sampling times 30 times, display band 900-1700nm, measurement interval 1nm. Spectrum acquisition environment: in an air-conditioned constant temperature environment (23°C).

[0094] Step (b), the sample collected: Spray the Shanghai Qing with dimethoate (pesticide, C5H12NO3PS2) as the sample of this embodiment, the sample preparation is specifically: use baking soda and salt to soak the Shanghai Qing respectively, and then rinse it with tap water Dry; Pesticide is the 40% dimethoate emulsifiable concentrate produced by De Beier Biochemical Engineering Co., Ltd. ...

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Abstract

The invention discloses a method for detecting pesticide residues in fruits and vegetables based on near-infrared spectroscopy, comprising: constructing a training sample data set, obtaining a dimensionality reduction transformation matrix and a classification model through the training sample data set; The test sample data was converted from high-dimensional to low-dimensional, and then substituted into the classification model for pesticide residue judgment. The invention can be used to realize the rapid and non-destructive detection of pesticide residues based on near-infrared spectroscopy, and has broad application potential.

Description

technical field [0001] The invention belongs to the technical field of food safety detection, and in particular relates to a method for detecting pesticide residues in fruits and vegetables based on near-infrared spectroscopy. Background technique [0002] Our country is rich in fruit and vegetable resources, which produce huge economic and social benefits every year, but the problem of excessive pesticide residues in fruits and vegetables is one of the major problems in the current agricultural development. It is directly related to the safety of human health, the safety of the fruit and vegetable market, and the sustainable development of agriculture. The safety of agricultural products affects the increase of agricultural efficiency, farmers' income and the improvement of market competitiveness of agricultural products. For this reason, many research institutions and colleges and universities have carried out a lot of research work on the detection of pesticide residues i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 谢德红叶艺
Owner NANJING FORESTRY UNIV