Suppr超能文献

线性溶剂化能关系 (LSERs) 可稳健预测低密度聚乙烯与水之间的分配系数。第二部分:模型评估和基准测试。

Linear solvation energy relationships (LSERs) for robust prediction of partition coefficients between low density polyethylene and water. Part II: Model evaluation and benchmarking.

机构信息

Boehringer Ingelheim Pharma GmbH and Co.KG, Ingelheim/Rhein, Binger Straße 173, Ingelheim am Rhein D-55216, Germany; Technical University of Munich, TUM School of Life Sciences, Weihenstephaner Steig 22, Freising 85354, Germany.

Technical University of Munich, TUM School of Life Sciences, Weihenstephaner Steig 22, Freising 85354, Germany; Fraunhofer Institute for Process Engineering and Packaging, Giggenhauser Str. 35, Freising 85354, Germany.

出版信息

Eur J Pharm Sci. 2022 May 1;172:106138. doi: 10.1016/j.ejps.2022.106138. Epub 2022 Feb 2.

Abstract

By neglecting the kinetics of leaching, accumulation of leachables in a clinically relevant medium in contact with plastics is principally driven by the equilibrium partition coefficient between the polymer and the medium phase. Based on experimental partition coefficients for a wide set of chemically diverse compounds between low density polyethylene (LDPE) and water, a linear solvation energy relationship (LSER) model was obtained in part I of this study, reading: logK=-0.529+1.098E-1.557S-2.991A-4.617B+3.886V. The model was proven accurate and precise (n = 156, R = 0.991, RMSE = 0.264). In this part II of the study, for further evaluation and benchmarking of the LSER model ∼ 33% (n = 52) of the total observations were ascribed to an independent validation set. Calculation of partition coefficients logK for this validation set was based on experimental LSER solute descriptors. Linear regression against the corresponding experimental values yielded R = 0.985 and RMSE = 0.352. When using LSER solute descriptors predicted from the compound's chemical structure by means of a QSPR prediction tool, instead, R = 0.984 and RMSE = 0.511 were obtained. These statistics are considered indicative for extractables with no experimental LSER solute descriptors available. By comparison to LSER models from the literature, a strong correlation between the quality of experimental partition coefficients and the chemical diversity of the training set to the model's predictability was observed, the latter of particular relevance for the application domain of the model. Further, to tentatively match partitioning into LDPE to partitioning into a liquid phase, partition coefficients logK were converted into logK by considering the amorphous fraction of the polymer as effective phase volume only. A LSER model now recalibrated based on the observations for logK exhibited the constant in the equation above to now read -0.079 instead of -0.529 which rendered the model more similar to a corresponding LSER-model for n-hexadencane/water. Based on LSER system parameters available, the sorption behavior of LDPE could be efficiently compared to the one of polydimethylsiloxane (PDMS), polyacrylate (PA) and polyoxymethylene (POM). The latter, by offering capabilities for polar interactions due to their heteroatomic building blocks, exhibit stronger sorption than LDPE to the more polar, non-hydrophobic domain of sorbates up to an logK range of 3 to 4. Above that range, all four polymers exhibited a roughly similar sorption behavior. Overall, LSERs were found to represent an accurate and user-friendly approach for the estimation of equilibrium partition coefficients involving a polymeric phase. All intrinsic input parameters can be retrieved from a free, web-based and curated database along with the outright calculation of the partition coefficient for any given neutral compound with a known structure for a given two-phased system.

摘要

通过忽略浸出动力学,与塑料接触的临床相关介质中浸出物的积累主要由聚合物和介质相之间的平衡分配系数驱动。基于低密度聚乙烯(LDPE)和水之间广泛的化学不同化合物的实验分配系数,在本研究的第一部分中获得了线性溶剂化能量关系(LSER)模型,其读数为:logK=-0.529+1.098E-1.557S-2.991A-4.617B+3.886V。该模型被证明是准确和精确的(n=156,R=0.991,RMSE=0.264)。在本研究的第二部分中,为了进一步评估和基准测试 LSER 模型,总观察值的约 33%(n=52)被分配到一个独立的验证集中。该验证集的分配系数 logK 的计算是基于实验 LSER 溶质描述符。与相应的实验值进行线性回归,得到 R=0.985 和 RMSE=0.352。当使用通过 QSPR 预测工具从化合物化学结构预测的 LSER 溶质描述符时,得到 R=0.984 和 RMSE=0.511。这些统计数据被认为对于没有实验 LSER 溶质描述符的可提取物是指示性的。与文献中的 LSER 模型相比,观察到实验分配系数的质量与模型可预测性之间存在很强的相关性,这对于模型的应用领域特别重要。此外,为了将 LDPE 中的分配转化为液相中的分配,通过仅考虑聚合物的无定形分数作为有效相体积,将分配系数 logK 转换为 logK。现在根据 logK 的观察结果重新校准的 LSER 模型,方程中的常数现在读为-0.079,而不是-0.529,这使得模型更类似于 n-己烷/水的相应 LSER 模型。基于可用的 LSER 系统参数,可以有效地比较 LDPE 的吸附行为与聚二甲基硅氧烷(PDMS)、聚丙烯酸(PA)和聚甲醛(POM)的吸附行为。后两者由于其杂原子构建块而具有极性相互作用的能力,因此与 LDPE 相比,对极性更强、非疏水性的吸附物的吸附更强,达到 logK 范围为 3 到 4。在该范围之上,所有四种聚合物都表现出大致相似的吸附行为。总体而言,LSER 被发现是一种准确且用户友好的方法,可用于估计涉及聚合相的平衡分配系数。所有内在输入参数都可以从免费的、基于网络的和经过审核的数据库中检索到,并且可以为任何给定的两相系统中具有已知结构的给定中性化合物计算分配系数。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验