Anhui Provincial Key Laboratory of Quality and Safety of Agricultural Products, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China.
Anhui Provincial Key Laboratory of Quality and Safety of Agricultural Products, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China.
Sci Total Environ. 2021 Dec 1;798:149237. doi: 10.1016/j.scitotenv.2021.149237. Epub 2021 Jul 29.
The widespread use of neonicotinoid pesticides in agricultural production has caused pressure on the environment. In the present work, the interactions between humic acid (HA) and three neonicotinoid insecticides, dinotefuran, clothianidin and nitenpyram, were investigated by using multiple spectroscopy techniques combined with two-dimensional correlation spectroscopy analysis and density functional theory (DFT). Dinotefuran, clothianidin and nitenpyram could quench the endogenous fluorescence of HA through a static quenching process dominated by hydrogen bonds and van der Waals forces. According to the revised Stern-Volmer equation and DFT calculation, the binding abilities of the three pesticides with HA were ranked as dinotefuran < clothianidin < nitenpyram. The results of dynamic light scattering showed that neutral conditions were more conducive to the combination of HA and dinotefuran, clothianidin and nitenpyram. Through Fourier transform infrared spectroscopy (FTIR) combined with two-dimensional correlation analysis (2D-COS), the functional group with the strongest binding ability in the HA-dinotefuran, HA-clothianidin and HA-nitenpyram system was CH, CO and CO, respectively. The work will help to further understand the behavior of neonicotinoid pesticides in the environment.
在农业生产中广泛使用新烟碱类杀虫剂对环境造成了压力。在本工作中,采用多种光谱技术结合二维相关光谱分析和密度泛函理论(DFT)研究了腐殖酸(HA)与三种新烟碱类杀虫剂(啶虫脒、噻虫嗪和吡虫啉)之间的相互作用。啶虫脒、噻虫嗪和吡虫啉可以通过氢键和范德华力主导的静态猝灭过程猝灭 HA 的内源性荧光。根据修订后的 Stern-Volmer 方程和 DFT 计算,三种杀虫剂与 HA 的结合能力排序为啶虫脒<噻虫嗪<吡虫啉。动态光散射的结果表明,中性条件更有利于 HA 与啶虫脒、噻虫嗪和吡虫啉的结合。通过傅里叶变换红外光谱(FTIR)结合二维相关分析(2D-COS),确定了在 HA-啶虫脒、HA-噻虫嗪和 HA-吡虫啉体系中结合能力最强的官能团分别为 CH、CO 和 CO。该工作将有助于进一步了解新烟碱类杀虫剂在环境中的行为。