Zhang Shengxin, Wang Lei, Wang Zhen, Fan Deling, Shi Lili, Liu Jining
Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Chemosphere. 2017 Mar;171:142-148. doi: 10.1016/j.chemosphere.2016.12.046. Epub 2016 Dec 12.
Dibutyltin dilaurate (DBTL) is an organotin compound that has been widely detected in aquatic environments. However, the ecological risk assessment for DBTL is hard to perform due to the absence of water quality criteria (WQC) and lack of toxicity data. In this study, toxicity data were obtained from acute and chronic toxicity tests using aquatic species resident in China. Based on the species sensitivity distributions (SSDs) constructed from these test data, the acute water quality criterion (AWQC) and chronic water quality criterion (CWQC) were then derived to be 132 μg/L and 31.9 μg/L for DBTL. In order to valid the predicted data in the application to the protective criteria development and hazard assessment, the web-based interspecies correlation estimation (Web-ICE) system was used to estimate acute toxicities. Here two acute toxicity data groups for surrogate species were chosen from experimental data and QSAR Toolbox-predicted data separately, giving estimated data for prediction species using Web-ICE software. According to Kolmogorov-Smirnov test results, Web-ICE-based SSDs and measurement-based SSD were not significantly different. The results showed that the differences between measurement-based (132 μg/L) and Web-ICE-based AWQCs (39.7 μg/L and 58.5 μg/L) were statistically acceptable. Under certain conditions, it is therefore worth considering using the QSAR Toolbox plus Web-ICE method here to provide a beneficial supplement for developing preliminarily screen level toxicities in WQC when little or no relevant information are available. Besides, the geographic distribution of species was demonstrated not to be a significant factor in SSD establishment and WQC derivation.
二月桂酸二丁基锡(DBTL)是一种在水生环境中被广泛检测到的有机锡化合物。然而,由于缺乏水质标准(WQC)以及毒性数据,对DBTL进行生态风险评估具有一定难度。在本研究中,通过对中国本土水生生物进行急性和慢性毒性试验获取了毒性数据。基于这些试验数据构建的物种敏感度分布(SSD),得出DBTL的急性水质标准(AWQC)和慢性水质标准(CWQC)分别为132μg/L和31.9μg/L。为了验证预测数据在保护标准制定和危害评估中的应用,使用基于网络的种间相关性估计(Web-ICE)系统来估计急性毒性。这里分别从实验数据和QSAR Toolbox预测数据中选取了两组替代物种的急性毒性数据,使用Web-ICE软件得出预测物种的估计数据。根据柯尔莫哥洛夫-斯米尔诺夫检验结果,基于Web-ICE的SSD和基于实测的SSD没有显著差异。结果表明,基于实测的AWQC(132μg/L)与基于Web-ICE的AWQC(39.7μg/L和58.5μg/L)之间的差异在统计学上是可接受的。因此,在某些条件下,当相关信息很少或没有时,考虑使用QSAR Toolbox加Web-ICE方法为制定WQC中的初步筛选水平毒性提供有益补充是值得的。此外,物种的地理分布在SSD建立和WQC推导中并非重要因素。