Suppr超能文献

用反相高效液相色谱法和计算模型估算新型溴化阻燃剂的辛醇-水分配系数。

Estimating Octanol-Water Partition Coefficients of Novel Brominated Flame Retardants by Reversed-Phase High-Performance Liquid Chromatography and Computational Models.

机构信息

Department of Civil and Environmental Engineering, University of Delaware, Newark, Delaware, USA.

出版信息

Environ Toxicol Chem. 2024 Oct;43(10):2105-2114. doi: 10.1002/etc.5952. Epub 2024 Jul 23.

Abstract

Legacy brominated flame retardants, including polybrominated diphenyl ethers (PBDEs), have been classified as persistent organic pollutants and replaced with novel brominated flame retardants (NBFRs). The octanol-water partition coefficients (log K) of NBFRs have been computationally estimated, but the log K values provided by these methods can differ by 1 to 3 orders of magnitude. Given the importance of this parameter in fate and toxicity models, we indirectly measured the log K values of eight NBFRs by their capacity factor (k') on a reversed-phase high-performance liquid chromatography (HPLC) C18 column by isocratic elution and compared these measured values with those estimated by nine computational models. Log K values were obtained for the NBFRs 1,2-bis(2,4,6-tribromophenoxy) ethane, pentabromobenzene, pentabromoethylbenzene, pentabromotoluene, 2-ethylhexyl 2,3,4,5-tetrabromobenzoate, allyl 2,4,6-tribromophenylether, 2,3-dibromopropyl-2,4,6-tribromophenyl ether, and bis(2-ethylhexyl) tetrabromophthalate. A training set of phthalates, polychlorinated biphenyls, PBDEs, and halogenated benzenes were chosen to obtain the log k'-log K calibration for the NBFRs. The computational models KowWIN, XLogP3, EAS-E Suite, COSMOtherm, DirectML, and Abraham polyparameter linear free energy relationships all predicted the log K values of the calibration compounds to within 1 order of magnitude without significant bias. The median of these models predicted log K values for the calibration compounds that were close to those known in the literature with root mean square error (RMSE) = 0.224 and for the NBFRs that were close to those measured by HPLC (RMSE = 0.334). Environ Toxicol Chem 2024;43:2105-2114. © 2024 SETAC.

摘要

传统的溴化阻燃剂,包括多溴二苯醚(PBDEs),已被归类为持久性有机污染物,并被新型溴化阻燃剂(NBFRs)所取代。NBFRs 的辛醇-水分配系数(log K)已通过计算进行了估算,但这些方法提供的 log K 值可能相差 1 到 3 个数量级。鉴于该参数在命运和毒性模型中的重要性,我们通过等度洗脱在反相高效液相色谱(HPLC)C18 柱上用它们的容量因子(k')间接测量了 8 种 NBFRs 的 log K 值,并将这些测量值与 9 种计算模型估算的值进行了比较。我们获得了 NBFRs 1,2-双(2,4,6-三溴苯氧基)乙烷、五溴苯、五溴乙基苯、五溴甲苯、2-乙基己基 2,3,4,5-四溴邻苯二甲酸酯、烯丙基 2,4,6-三溴苯醚、2,3-二溴丙基-2,4,6-三溴苯基醚和双(2-乙基己基)四溴邻苯二甲酸酯的 log K 值。选择邻苯二甲酸酯、多氯联苯、PBDE 和卤代苯作为训练集,以获得 NBFRs 的 log k'-log K 校准。KowWIN、XLogP3、EAS-E Suite、COSMOtherm、DirectML 和 Abraham 多参数线性自由能关系等计算模型均在无显著偏差的情况下,将校准化合物的 log K 值预测到 1 个数量级以内。这些模型的中位数预测校准化合物的 log K 值与文献中已知值接近,均方根误差(RMSE)= 0.224,而预测 NBFRs 的 log K 值与 HPLC 测量值接近(RMSE = 0.334)。Environ Toxicol Chem 2024;43:2105-2114. © 2024 SETAC.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验