Ding Zhiqian, Lin Meirou, Song Xuelin, Wu Hua, Xiao Junsong
College of Food and Health, Beijing Technology & Business University (BTBU), Beijing 100048, China.
COFCO Grains Holding Co., Ltd., Beijing 100020, China.
Foods. 2023 Feb 13;12(4):788. doi: 10.3390/foods12040788.
Pesticide residues in grain products are a major issue due to their comprehensive and long-term impact on human health, and quantitative modeling on the degradation of pesticide residues facilitate the prediction of pesticide residue level with time during storage. Herein, we tried to study the effect of temperature and relative humidity on the degradation profiles of five pesticides (carbendazim, bensulfuron methyl, triazophos, chlorpyrifos, and carbosulfan) in wheat and flour and establish quantitative models for prediction purpose. Positive samples were prepared by spraying the corresponding pesticide standards of certain concentrations. Then, these positive samples were stored at different combinations of temperatures (20 °C, 30 °C, 40 °C, 50 °C) and relative humidity (50%, 60%, 70%, 80%). Samples were collected at specific time points, ground, and the pesticide residues were extracted and purified by using QuEChERS method, and then quantified by using UPLC-MS/MS. Quantitative model of pesticide residues was constructed using Minitab 17 software. Results showed that high temperature and high relative humidity accelerate the degradation of the five pesticide residues, and their degradation profiles and half-lives over temperature and relative humidity varied among pesticides. The quantitative model for pesticide degradation in the whole process from wheat to flour was constructed, with R above 0.817 for wheat and 0.796 for flour, respectively. The quantitative model allows the prediction of the pesticide residual level in the process from wheat to flour.
谷物产品中的农药残留是一个重大问题，因为它们对人类健康具有广泛和长期的影响，而农药残留降解的定量建模有助于预测储存期间农药残留水平随时间的变化。在此，我们试图研究温度和相对湿度对小麦和面粉中五种农药（多菌灵、苄嘧磺隆、三唑磷、毒死蜱和丁硫克百威）降解曲线的影响，并建立用于预测目的的定量模型。通过喷洒一定浓度的相应农药标准品制备阳性样品。然后，将这些阳性样品储存在不同温度（20℃、30℃、40℃、50℃）和相对湿度（50%、60%、70%、80%）组合条件下。在特定时间点采集样品，研磨后，采用QuEChERS方法提取和净化农药残留，然后用超高效液相色谱-串联质谱法进行定量。使用Minitab 17软件构建农药残留定量模型。结果表明，高温和高相对湿度会加速这五种农药残留的降解，并且它们在温度和相对湿度下的降解曲线及半衰期因农药种类而异。构建了从小麦到面粉整个过程中农药降解的定量模型，小麦的R分别高于0.817，面粉的R高于0.796。该定量模型能够预测从小麦到面粉过程中的农药残留水平。
