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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.

DOI:10.1002/etc.5952
PMID:39042019
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.

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