Sun Shuhai, Wang Zhonghe, Pu Qikun, Li Xinao, Cui Yuhan, Yang Hao, Li Yu
School of Hydraulic and Environmental Engineering, Changchun Institute of Technology, Changchun 130012, China.
MOE Key Laboratory of Resources and Environmental System Optimization, North China Electric Power University, Beijing 102206, China.
Toxics. 2024 Mar 6;12(3):203. doi: 10.3390/toxics12030203.
The degradation of fluoroquinolones (FQs) via advanced oxidation processes (AOPs) is a promising avenue, yet the complete mineralization of certain FQ molecules remains elusive, raising concerns about the formation of toxic by-products. This study delineates five primary AOP degradation pathways for 16 commercially available FQ molecules, inferred from existing literature. Density functional theory (DFT) was employed to calculate the bond dissociation energies within these pathways to elucidate the correlation between bond strength and molecular architecture. Subsequently, Comparative Molecular Similarity Index Analysis (CoMSIA) models were constructed for various degradation reactions, including piperazine ring cleavage, defluorination, hydroxylation, and piperazine ring hydroxylation. Three-dimensional contour maps generated from these models provide a deeper understanding of the interplay between FQ molecular structure and bond dissociation energy. Furthermore, toxicity predictions for 16 FQ molecules and their advanced oxidation intermediates, conducted using VEGA 1.2.3 software, indicate that degradation products from pathways P2 and P5 pose a heightened health risk relative to their parent compounds. Furthermore, the application of the Multwfn program to compute the Fukui function for FQ molecules discerns the disparity in degradation propensities, highlighting that N atoms with higher f0 values can augment the likelihood of piperazine ring cleavage. HOMO-LUMO distribution diagrams further confirm that methoxy substitution at the 1-position leads to a dilution of HOMOs on the piperazine ring and an increased energy gap for free radical reactions, diminishing the reactivity with hydroxyl radicals. This study elucidates the pivotal role of structural characteristics in FQ antibiotics for their degradation efficiency within AOPs and unveils the underlying mechanisms of bond dissociation energy disparities. The toxicity parameter predictions for FQ molecules and their intermediates offer unique perspectives and theoretical underpinnings for mitigating the use of high-risk FQs and for devising targeted degradation strategies to circumvent the generation of toxic intermediates in AOPs through molecular structure optimization.
通过高级氧化过程(AOPs)降解氟喹诺酮类药物(FQs)是一条很有前景的途径,但某些FQ分子的完全矿化仍然难以实现,这引发了人们对有毒副产物形成的担忧。本研究从现有文献中推断出16种市售FQ分子的五种主要AOP降解途径。采用密度泛函理论(DFT)计算这些途径中的键解离能,以阐明键强度与分子结构之间的相关性。随后,针对各种降解反应构建了比较分子相似性指数分析(CoMSIA)模型,包括哌嗪环裂解、脱氟、羟基化和哌嗪环羟基化。从这些模型生成的三维等高线图能更深入地理解FQ分子结构与键解离能之间的相互作用。此外,使用VEGA 1.2.3软件对16种FQ分子及其高级氧化中间体进行的毒性预测表明,途径P2和P5的降解产物相对于其母体化合物对健康的风险更高。此外,应用Multwfn程序计算FQ分子的福井函数,可识别降解倾向的差异,突出显示具有较高f0值的N原子可增加哌嗪环裂解的可能性。HOMO-LUMO分布图进一步证实,1位的甲氧基取代会导致哌嗪环上HOMO的稀释以及自由基反应的能隙增加,从而降低与羟基自由基的反应性。本研究阐明了结构特征在FQ抗生素通过AOPs降解效率中的关键作用,并揭示了键解离能差异的潜在机制。对FQ分子及其中间体的毒性参数预测为减少高风险FQ的使用以及通过分子结构优化设计有针对性的降解策略以避免AOPs中产生有毒中间体提供了独特的视角和理论基础。