Sectional type detection method for pesticide residues
A detection method and pesticide residue technology, which is applied in the field of segmented detection of pesticide residues, can solve the problems of lower detection accuracy of pesticide residue detection methods, achieve online pesticide residue detection, realize large-scale detection, and ensure food safety. Effect
Pending Publication Date: 2021-03-19
HUAIYIN INSTITUTE OF TECHNOLOGY
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Problems solved by technology
However, the detection accuracy of the pesticide residue detection method based on the partial least squares model will decrease with the increase of the pesticide concentration.
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Embodiment 1
[0035] Such as figure 1 As shown, this example simulates the fruit and vegetable residues in real life by adding a certain concentration of pesticides to the fruit juice, collects the fluorescence spectrum of the juice sample, and establishes a spectrum-pesticide concentration model to realize the detection of various pesticide residues in the fruit juice.
[0036] Specific steps are as follows:
[0037] (1) Selection of modeling set data: Grape juice was selected as a sample, and different concentrations of cyfluthrin were prepared, the concentration range was: 0-0.714mg / mL, a total of 101 samples;
[0038] (2) Preliminarily select all samples for partial least squares modeling, and find the threshold A of the fluorescence intensity at which the concentration prediction error becomes larger;
[0039] (3) The sample is divided into two classes, the fluorescence intensity of a class of characteristic peaks is greater than threshold A, and the fluorescence intensity of another ...
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The invention provides a sectional type detection method for pesticide residues. The sectional type detection method comprises the following steps of collecting a fluorescence spectrum of a standard water sample with known pesticide concentration; dividing the samples into samples with fluorescence intensities lower than a threshold value and samples with fluorescence intensities higher than the threshold value according to the characteristic peaks; carrying out pretreatment on the fluorescence spectrum of the sample with the concentration lower than the threshold value; carrying out principalcomponent analysis by utilizing the obtained spectral data and the corresponding pesticide concentration, and removing abnormal samples; establishing a plurality of partial least squares models according to the types of pesticides, and performing cross validation to obtain an optimal modeling set and model parameters; for the fluorescence spectrum of the sample with the concentration higher thanthe threshold value, taking the fluorescence intensity of the characteristic peak and the physically and chemically measured concentration value to carry out linear fitting to obtain a relational expression between the concentration and the fluorescence intensity; substituting the sample spectrum of which the fluorescence intensity is lower than the threshold value into the sample spectrum of thepartial least squares model for detection, and substituting the sample spectrum of which the fluorescence intensity is higher than the threshold value into the linear relation for detection so that the detection of the multi-component pesticide is realized.
Description
technical field [0001] The invention relates to a segmented detection method, in particular to a segmented detection method for pesticide residues. Background technique [0002] To address global hunger, pesticides are widely and even excessively used to achieve bountiful crops. In recent decades, with people's emphasis on food safety issues, pesticide residues on crops have become a major concern in people's daily life. [0003] Traditional pesticide residue detection technologies such as liquid chromatography, mass spectrometer and other technologies not only require complex pre-treatment of samples, but also take a long time for detection. Considering that these techniques are destructive to the test samples, large-scale food testing cannot be realized. [0004] Fluorescence spectroscopy has attracted more and more attention in the fields of food safety and biomedicine due to its non-destructive, non-contact, and fast detection speed. At present, the application of flu...
Claims
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IPC IPC(8): G01N21/64
CPCG01N21/64G01N2021/6417
Inventor 姚华卞海溢孙楠李雯季仁东王晓燕陈瑞强朱铁柱于银山吴义鹏徐浩渊
Owner HUAIYIN INSTITUTE OF TECHNOLOGY