Multi-Pesticide Residue Analysis Method Designed for the Robot Experimenters
Shuang Zhang, Ninghui Song, Zhiyong He, Maomao Zeng, Jie Chen
Abstract
Robots replacing humans as the executioners is crucial work for intelligent multi-pesticide residue analysis to maximize reproducibility and throughput while minimizing the expertise required to perform the entire process. Traditional analysis methods are predicated on manual execution, so we configured our robot experimenter, automated the analytical workflow, and achieved the goal of robotics execution. Our robot experimenter with an X–Y–Z axis robotic arm was interfaced with seven modules and ultra-performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS) for automated standard solution preparation, sample pre-treatment, and UPLC–MS/MS detection. An algorithm was established to make the prepared matrix-matched standard solutions meet the monitoring requirements. The strategy was demonstrated and validated for the detection of 325 pesticides in 4 typical food matrices, suggesting that the developed method is applicable for the analysis of pesticide residues in vegetables and tea as part of regulatory monitoring programs and other purposes.