The results of pesticide residues in vegetable products are even more alarming, with a failure rate of 30%. One of the green onion products has a pesticide exceeding the standard by 36 times . In 2022, the Consumer Foundation will randomly test imported strawberries and local strawberries. up to 50% . This kind of situation is really uncomfortable, and it is very necessary to carefully examine and check. So, what method is used to test the pesticide residues in fruits and vegetables?
At present, the commonly used rapid bulk sms service detection methods for pesticides (quick screening methods) can be divided into biochemical methods, Raman spectroscopy, and mass spectrometry fast screening methods. The biochemical method with the longest history is currently the most common quick screening method in major markets and mass retailers in China. This method is fast and cheap, but it has low specificity for pesticides and can only detect more than 30 kinds of pesticides. There are more and more types of pesticides and more complex brands. The Raman spectroscopy and mass spectrometry screening methods introduced next are new technologies that replace biochemical methods. Raman spectroscopy uses a Raman scatterometer for detection,
which has the advantage of being fast, but the disadvantage is that the false positives are high, and the specificity is not as good as that of the mass spectrometry quick screening method. As for the mass spectrometry quick screening method, it is a patented method developed by the Agricultural Drug Toxic Test Institute of the Agricultural Committee, and has obtained patents in many countries such as the European Union, the United States, Japan, and Taiwan. It is also a test method publicly recommended by the Food and Drug Administration of the Ministry of Health and Welfare . As long as each pesticide has a corresponding organic sensor, it can be detected, and the detection time of a single sample is as long as 10 minutes. More importantly, the inspection results are more accurate and correct,