[ Instrument R&D of Instrumentation Network ] Pesticide residues have always been one of the issues of agricultural product quality and safety with high social attention. However, due to the large variety of pesticides and small molecular weight, the rapid development of pesticide residue detection technology is difficult and results are few. Recently, the agricultural chemical pollutant residue detection and behavior research innovation team has successfully developed a rapid detection technology for pesticide residues based on artificial intelligence, which adds another force to the pesticide residue rapid detection industry.
The problem of pesticide residues is caused by the mass production and widespread use of pesticides. Pesticide residues are usually left in grains, fruits and vegetables, livestock products, aquatic products, etc. directly or indirectly after pesticides are applied in agricultural production. If the use of pesticides is not reduced or residual pesticides are not tested, it may directly reach humans and animals through plant fruits or water, the atmosphere, or eventually be passed to humans and animals through the environment and food chain.
In fact, pesticide residues are not excessive, but as long as they are not exceeded, they are relatively safe. However, if products containing a large amount of pesticide residues are consumed, it may also cause acute safety accidents for humans and animals. Long-term consumption of agricultural and sideline products with excessive pesticide residues will not cause acute personal danger, but it may cause chronic danger to humans and animals, cause disease, and even affect the next generation. Due to the great harm of pesticide residues, countries have strictly controlled the application of pesticides, and stipulated the allowable amount of pesticide residues in food, and continuously strengthened detection.
It is understood that there are many types of pesticide residues in my country, mainly divided into three categories: organophosphorus pesticides, pyrethroid pesticides, and organochlorine pesticides. With the rapid development of food detection technology in my country, pesticide residue analyzers and other professional pesticide residue instruments and equipments came into being.
Generally speaking, under certain conditions, organophosphorus and carbamate drugs can inhibit the normal function of cholinesterase, and pesticide residue analysis equipment can determine whether there is pesticide residue in the sample through the inhibition rate.
As the saying goes, "People take food as the first, food as the first." In China, pesticide residues are one of the issues concerning the quality and safety of agricultural products with high social concern. With the rapid development of the food industry, the detection speed, efficiency and accuracy are accurate. Degree requirements are increased. However, due to the large variety of pesticides and small molecular weight, and the rapid development of pesticide residue rapid detection technology has been difficult and less achievements.
Recently, an innovative team of agricultural chemical pollutant residue detection and behavior research at a research institute of quality standards and detection technology successfully developed a rapid pesticide residue detection technology based on artificial intelligence.
The author understands that this technology is based on the immunochromatographic test strip and artificial intelligence image recognition algorithm for pesticide multi-residue rapid detection technology. It integrates immunochromatography technology, image recognition technology, big data and Internet of Things technology, and the detection speed is fast. Simultaneous detection of multiple targets, high intelligence, convenient data collection, and good system compatibility. Due to the integration of pesticide residue immunoassay, image recognition, artificial intelligence, big data and other technologies, a breakthrough has been made in the detection time.
It is said that the operator only needs to test the test paper on the appropriate amount of aqueous solution soaked in agricultural products, and then photographs the test paper through a small program and uploads it. In 5 minutes, the results of various pesticide residues can be obtained.
In addition, the research team also developed colloidal gold rapid test strips for pesticides such as imidacloprid, tebuconazole, acetamiprid, procymidone, carbendazim, and standardized the processing parameters of the test strips. Multi-channel test strip carrying platform for image recognition.
In general, pesticide residues are not excessive, but it is also necessary to reduce the use of pesticides or strengthen the monitoring and supervision of pesticide residues, and improve the speed, efficiency, and accuracy of testing to ensure the safety of people’s table meals. Nowadays, the rapid detection technology for pesticide multi-residue based on artificial intelligence has been successfully developed, which not only greatly improves the detection speed and efficiency, but also can be used for government supervision, producer self-inspection, large-scale market super-quality management and consumer household self-inspection to achieve agricultural products Quality and safety society co-governance.
(Original title: Successful development of food detection technology based on artificial intelligence pesticide residue rapid detection)

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