Specific Application Of QuEChERS Method In Food Pesticide Residue Detection
It is not difficult to find that the early application of the QuEChERS method in the detection of pesticide residues is mainly the detection of single pesticides, and the extraction targets are mostly carbamates, organophosphorus and pyrethroid pesticides. With the development of technology, in addition to the detection of pesticide residues in fruits and vegetables, research has also been carried out on the extraction and purification of samples with the low water content of cereals.
Moreover, due to the continuous advancement of technical equipment and the efforts of researchers, the application of the QuEChERS method is not limited to traditional agricultural products such as fruits, vegetables, grains, etc., and the application range has been greatly expanded, such as high viscosity honey, high-fat content fritters, high fat, and high protein milk and milk powder, as well as animal foods with complex matrix components, such as chicken liver, pig liver, fish and so on. In addition, the method has also been applied to the detection of pesticide residues in Chinese herbal medicines and teas with Chinese characteristics.
QuEChERS is sample preparation and purification technology for multi-pesticide residue analysis in high-humidity foods. Simply put, it is a sample preparation technique. Now it has become the standard sample processing method for detecting pesticide residues in fruits and vegetables worldwide. In addition, its application involves more and more different fields, such as meat, blood samples, wine, and even soil antibiotics, drugs, drugs of abuse, and other contaminants.
Many countries have a wide range of applications for the QuEChERS method. The extracted and purified samples are not limited to plant and agricultural products such as fruits and vegetables, but also include various animal foods (such as chicken, tilapia, etc.) and various highly processed high sugars food (such as honey, French fries, biscuits, and chocolates). what’s more, there are diverse detection methods and workers pay more attention to the combination of instruments.