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Academic Journal of Agricultural Sciences, 2022, 3(4); doi: 10.38007/AJAS.2022.030403.

Determination of Organophosphorus Pesticides (or Herbicides) in Soybean by Gas Chromatography (or High Performance Liquid Chromatography)


Vempaty Velmugan

Corresponding Author:
Vempaty Velmugan

Tech University of Korea, Republic of Korea


Organophosphorus pesticides can effectively control agricultural pests, improving the yield and quality of crops. However, the problem of pesticide residues is becoming more and more serious due to the extensive use of pesticides, potential teratogenicity and carcinogenicity pose a serious threat to consumers' health. In order to control the pollution of organophosphorus pesticide residues, besides strengthening the management of pesticide use, the key is to develop simple, fast and sensitive detection technology. Because soybean contains more oil and fat than cereals, it brings many difficulties to the analysis of pesticides. So far, there is no mature method in China. Based on the above background, the aim of this paper is to determine organophosphorus pesticides in soybean by gas chromatography. In this paper, the extractant and sample purifier of organic phosphorus in soybean were discussed, and the organophosphorus pesticides in soybean were extracted with acetone-dichloromethane mixed solvent, and Flori silica was used as purifying agent. The residues of four organophosphorus pesticides in soybean, dimethoate, methyl parathion and parathion, were determined by gas chromatography with flame photometric detector. Simple operation, high recovery and minimum detection concentration are as follows: dropping fear 0.03 mg/kg; dimethoate 0.04 mg/kg; methyl parathion 0.04 mg/kg; parathion 0.05 mg/kg. 


Organophosphorus Pesticides, Gas Chromatography, Purification Reagent, Soybean Detection

Cite This Paper

Vempaty Velmugan. Determination of Organophosphorus Pesticides (or Herbicides) in Soybean by Gas Chromatography (or High Performance Liquid Chromatography). Academic Journal of Agricultural Sciences  (2022), Vol. 3, Issue 4: 33-46. https://doi.org/10.38007/AJAS.2022.030403.


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