Chinese Academy of Inspection and Quarantine

Beijing Uni-star Inspection Technology Co., Ltd.

Zijuan Zhang

Hui Chen

Qiaoying Chang

Guofang Pang

Ruobin Bai

Chunlin Fan

Xingqiang Wu

Kuiguo Han

A cloud server platform end is used to construct a mass spectrum species classification model, extract a mass spectrum data feature, and construct a training model of the convolutional neural network; a user platform end is used to upload the mass spectrum, experiment condition and device data, directly screen and identify the type of the mass spectrum based on the mass spectrum species classification model or the mass spectrum information base, automatically compare and identify the species and name of the pesticides based on the neural network model trained by the cloud server platform end, and feedback the comparison result to the user. The disclosure solves the restriction on the purchase of standards for user, the use of the system is not limited by the location, and the pesticide residues could be detected automatically, quickly and accurately.

Cloud-platform based automatic identification system and method of seven types of mass spectrums for pesticides and chemical pollutants commonly used in the world

Disclosed is an electronic ID database and detection method for pesticide compounds in edible agro-products based on GC-Q-Orbitrap. The electronic ID database includes a collection of various pesticide compounds electronic ID information and is sorted according to retention time in the electronic ID. The electronic ID contains pesticide compounds information, retention time, mass spectrum, fragment ions information and intelligent matching value. The detection method includes sample pretreatment procedures, setting GC-Q-Orbitrap operating conditions and screening procedures for pesticide residues in samples, wherein setting GC-Q-Orbitrap operating conditions includes setting suitable chromatography and mass spectrometry conditions. In pesticide residue screening procedures, firstly, the retention time is used to find out pesticide compounds in electronic ID database. If there is a match, the corresponding electronic ID information is extracted. Then the intelligent matching value is compared, if it is less than threshold value, the result is recorded and displayed, and the screening is completed.

Electronic ID database and detection method for pesticide compounds in edible Agro-products based on GC-Q-Orbitrap

Disclosed is an electronic ID database and detection method for pesticide compound in edible agro-products based on LC-Q-Orbitrap. The electronic ID database includes a collection of various pesticides compound electronic ID information, intelligent matching values and collision energies. It is ordered according to the retention time in the electronic ID. The electronic ID contains pesticide compounds information, retention time, adduct ions information, fragment ions information, collision energies, and the optimal full scan mass spectrum. The detection method includes sample pre-treatment, setting LC-Q-Orbitrap operating conditions and sample pesticide residue screening. Setting LC-Q-Orbitrap operating conditions contain setting suitable chromatography and mass spectrometry conditions. In pesticide residue screening procedures, firstly, the retention time is used to find pesticide compounds electronic ID database. If matching, the corresponding electronic ID information is extracted. Then the intelligent matching value is compared, if it is same, the result is recorded and displayed, and the screening is completed.

Electronic ID database and detection method for pesticide compound in edible agro-products based on LC-Q-Orbitrap

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Beijing, China

Zijuan Zhang