Instituto de Química, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, 91501-970 Porto Alegre, RS, Brazil.
Laboratório Federal de Defesa Agropecuária, Estr. Retiro da Ponta Grossa 3036, 91780-580 Porto Alegre, RS, Brazil.
Sci Total Environ. 2022 Jul 1;828:154109. doi: 10.1016/j.scitotenv.2022.154109. Epub 2022 Mar 3.
This study investigates degradation processes of three antimicrobials in water (norfloxacin, ciprofloxacin, and sulfamethoxazole) by photolysis, focusing on the prediction of toxicity endpoints via in silico quantitative structure-activity relationship (QSAR) of their transformation products (TPs). Photolysis experiments were conducted in distilled water with individual solutions at 10 mg L for each compound. Identification of TPs was performed by means of LC-TOF-MS, employing a method based on retention time, exact mass fragmentation pattern, and peak intensity. Ten main compounds were identified for sulfamethoxazole, fifteen for ciprofloxacin, and fifteen for norfloxacin. Out of 40 identified TPs, 6 have not been reported in the literature. Based on new data found in this work, and TPs already reported in the literature, we have proposed degradation pathways for all three antimicrobials, providing reasoning for the identified TPs. QSAR risk assessment was carried out for 74 structures of possible isomers. QSAR predictions showed that all 19 possible structures of sulfamethoxazole TPs are non-mutagenic, whereas 16 are toxicant, 18 carcinogenic, and 14 non-readily biodegradable. For ciprofloxacin, 28 out of the 30 possible structures for the TPs are mutagenic and non-readily biodegradable, and all structures are toxicant and carcinogenic. All 25 possible norfloxacin TPs were predicted mutagenic, toxicant, carcinogenic, and non-readily biodegradable. Results obtained from in silico QSAR models evince the need of performing risk assessment for TPs as well as for the parent antimicrobial. An expert analysis of QSAR predictions using different models and degradation pathways is imperative, for a large variety of structures was found for the TPs.
本研究考察了水中三种抗生素(诺氟沙星、环丙沙星和磺胺甲恶唑)的光降解过程,重点通过它们的转化产物(TPs)的计算定量构效关系(QSAR)预测毒性终点。在 10mg/L 的单一溶液中,在去离子水中进行光解实验。通过 LC-TOF-MS 对 TPs 进行鉴定,采用基于保留时间、精确质量碎片模式和峰强度的方法。鉴定出磺胺甲恶唑的 10 种主要化合物、环丙沙星的 15 种化合物和诺氟沙星的 15 种化合物。在所鉴定的 40 种 TPs 中,有 6 种尚未在文献中报道。基于本工作中发现的新数据和文献中已经报道的 TPs,我们提出了所有三种抗生素的降解途径,为鉴定的 TPs 提供了合理的解释。我们对 74 种可能的异构体结构进行了 QSAR 风险评估。QSAR 预测表明,磺胺甲恶唑 TPs 的所有 19 种可能结构均无致突变性,而 16 种为有毒物质,18 种为致癌物质,14 种为不易生物降解物质。对于环丙沙星,30 种 TPs 的可能结构中有 28 种为致突变性和不易生物降解性,所有结构均为有毒物质和致癌物质。所有 25 种可能的诺氟沙星 TPs 均被预测为致突变性、有毒物质、致癌物质和不易生物降解物质。来自计算 QSAR 模型的结果表明,需要对 TPs 以及母体抗生素进行风险评估。需要对不同模型和降解途径的 QSAR 预测进行专家分析,因为发现了大量 TPs 的结构。