Department of Ecosystem Analysis, Institute for Environmental Research, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany.
Department of Evolutionary Ecology and Environmental Toxicology, Goethe University Frankfurt, Max-von-Laue-Str. 13, 60438 Frankfurt am Main, Germany.
Sci Total Environ. 2021 Apr 10;764:142902. doi: 10.1016/j.scitotenv.2020.142902. Epub 2020 Oct 13.
To avoid potential risks of biofuels on the environment and human, ecotoxicity investigation should be integrated into the early design stage for promising biofuel candidates. In the present study, a green toxicology testing strategy combining experimental bioassays with in silico tools was established to investigate the potential ecotoxicity of biofuel candidates. Experimental results obtained from the acute immobilisation test, the fish embryo acute toxicity test and the in vitro micronucleus assay (Chinese hamster lung fibroblast cell line V79) were compared with model prediction results by ECOSAR and OECD QSAR Toolbox. Both our experimental and model prediction results showed that 1-Octanol (1-Oct) and Di-n-butyl ether (DNBE) were the most toxic to Daphnia magna and zebrafish among all the biofuel candidates we investigated, while Methyl ethyl ketone (MEK), Dimethoxymethane (DMM) and Diethoxymethane (DEM) were the least toxic. Moreover, both in vitro micronucleus assay and OECD QSAR Toolbox evaluation suggested that the metabolites present higher genotoxicity than biofuel candidates themselves. Overall, our results proved that this green toxicology testing strategy is a useful tool for assessing ecotoxicity of biofuel candidates.
为了避免生物燃料对环境和人类造成潜在风险，应该在有前途的生物燃料候选物的早期设计阶段就纳入生态毒性调查。在本研究中，建立了一种将实验生物测定与计算工具相结合的绿色毒理学测试策略，以调查生物燃料候选物的潜在生态毒性。急性固定测试、鱼类胚胎急性毒性测试和体外微核测试（中国仓鼠肺成纤维细胞系 V79）的实验结果与 ECOSAR 和 OECD QSAR Toolbox 的模型预测结果进行了比较。我们的实验和模型预测结果都表明，在我们研究的所有生物燃料候选物中，1-辛醇（1-Oct）和二正丁醚（DNBE）对大型溞和斑马鱼的毒性最大，而甲基乙基酮（MEK）、二甲氧基甲烷（DMM）和二乙氧基甲烷（DEM）的毒性最小。此外，体外微核测试和 OECD QSAR Toolbox 评估都表明，代谢物的遗传毒性比生物燃料候选物本身更高。总的来说，我们的结果证明了这种绿色毒理学测试策略是评估生物燃料候选物生态毒性的有用工具。
