Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Civil Engineering, Faculty of Engineering and Applied Science, Memorial University, St. John's, NL, A1B 3X5, Canada.
Jilin Provincial Key Laboratory of Municipal Wastewater Treatment, Changchun, 130012, Jilin, China.
Environ Sci Pollut Res Int. 2021 Nov;28(41):57530-57542. doi: 10.1007/s11356-021-14672-1. Epub 2021 Jun 5.
Synthetic musks (SMs) are fragrance additives widely used in personal care products. SMs and their transformation by-products may reach the environment even after wastewater treatment, resulting in ecological and health concerns. The identification and toxicity assessment of SM by-products generated from different chemical and biological treatment processes have been rarely studied. This study established a 3D-QSAR model based on SMs' molecular structures (independent variable) and their lethal concentration (LC) of mysid (dependent variable). The developed model was further used to predict the LC of SMs transformation by-products. Fifty-eight by-products of six common SMs (i.e., galaxolide (HHCB), tonalide (AHTN), phantolide (PHAN), traseolide (TRASE), celestolide (ADBI), and musk ketone (MK)) generated from biodegradation, photodegradation, advanced oxidation, and chlorination were identified through literature review and lab experiment as the model inputs. Predicted LC results indicated that the toxicity of 40% chlorination by-products is higher than their precursors. Biodegradation is an effective method to treat AHTN. The advanced oxidation may be the best way to treat HHCB. This is the first study on biotoxicity of SM transformation by-products predicted by the 3D-QSAR model. The research outputs helped to provide valuable reference data and guidance to improve management of SMs and other emerging contaminants.
合成麝香(SMs)是广泛应用于个人护理产品的香料添加剂。即使在废水处理后,SMs 及其转化的副产物仍可能进入环境,引发生态和健康问题。目前,对于不同化学和生物处理工艺产生的 SM 副产物的识别和毒性评估研究较少。本研究基于 SMs 的分子结构(自变量)和对糠虾的致死浓度(LC,因变量),建立了一个 3D-QSAR 模型。该模型进一步用于预测 SM 转化副产物的 LC。通过文献回顾和实验室实验,确定了六类常见 SM(即佳乐麝香(HHCB)、檀香麝香(AHTN)、磷苯甲酮麝香(PHAN)、突厥麝香(TRASE)、麝香紫罗兰(ADBI)和酮麝香(MK))的 58 种生物降解、光降解、高级氧化和氯化的副产物,作为模型输入。预测的 LC 结果表明,40%氯化副产物的毒性比其前体高。生物降解是处理 AHTN 的有效方法。高级氧化可能是处理 HHCB 的最佳方法。这是首次利用 3D-QSAR 模型预测 SM 转化副产物的生物毒性研究。研究结果有助于为 SM 和其他新兴污染物的管理提供有价值的参考数据和指导。