Glyphosate concentration detection method based on Raman signals of chlorella pyrenoidosa

Abstract

The invention discloses a glyphosate concentration detection method based on Raman signals of chlorella pyrenoidosa. The glyphosate concentration detection method comprises the following steps: (1) acquiring Raman spectrum information of chlorella pyrenoidosa samples from water bodies with glyphosate of different concentration, and preprocessing the Raman spectrum information; (2) establishing a prediction model by virtue of alternating least square according to the concentration of glyphosate in the water bodies and the preprocessed Raman spectrum information; and (3) acquiring Raman spectrum information of a to-be-measured chlorella pyrenoidosa sample, processing the Raman spectrum information of the to-be-measured chlorella pyrenoidosa sample by virtue of a multivariate curve resolution method, and inputting the processed Raman spectrum information into the prediction model, thereby obtaining the concentration of glyphosate in a glyphosate water body from which the to-be-detected chlorella pyrenoidosa sample is collected. According to the detection method, the water sample does not need to be subjected to complicated preprocessing and chemical analysis, so that the operation steps are greatly simplified, and the detection time is shortened.

Description

technical field [0001] The invention relates to the technical field of algae water body detection, in particular to a glyphosate concentration detection method based on Chlorella pyrenoidosa Raman spectrum technology. Background technique [0002] Pesticide residues in water pose a great threat to global ecological balance and drinking water safety, and herbicides belong to a category of pesticides. At present, herbicides mainly include amino acids, sulfonylureas, amides, aryloxyphenoxypropionic acids, and triazine herbicides. Glyphosate herbicides are one of the amino acids. Glyphosate is a non-selective, non-residual herbicide that kills perennial root weeds and is widely used in rubber, mulberry, tea, orchards and sugarcane fields. Although glyphosate is a low-toxic herbicide, recent studies have shown that glyphosate has obvious toxicity and itself is a carcinogen, which will cause damage to the environment and human body. Therefore, it is very important to detect the c...

AI Technical Summary

Problems solved by technology

[0006] The invention provides a glyphosate concentration detection method based on the Raman signal of Chlorella pyrenoidosa. The chlorophyll in the algae is used as a natural probe to reflect the photosynthetic metabolism state of the cell through the change of the Raman spectrum signal, thereby reflecting the concentration of glyphosate in the water body. The concentration of herbicides solves the problem that existing detection methods require complex chemical treatment of water samples, and the operation is relatively cumbersome, time-consuming, and labor-intensive.

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