无有机改性剂测定辛醇-水分配系数的高通量高效液相色谱方法

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Jonathan Rains, Elliot Steeples, Ben Robinson, Andrew J. Pierce, Danielle Sayer
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引用次数: 0

摘要

我们提出了一种高效色谱法测定有机分子的辛醇-水分配系数,适用于具有酸性和碱性pKa值的药品、农用化学品和精细化学品。通过根据长度选择短烷基柱,并在流动相中涂上辛醇,我们可以在不使用有机添加剂的情况下测量0-5.6的logP范围。该方法已被证明对这里报告的146个商业分子以及超过27,000个内部专有研究分子是准确的,其结果已被用于训练我们自己的机器学习模型。该方法对分析物浓度或纯度也不敏感,并且可以部分自动化以获得工业用途的相对高通量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-Throughput HPLC Method for the Measurement of Octanol–Water Partition Coefficients without an Organic Modifier

High-Throughput HPLC Method for the Measurement of Octanol–Water Partition Coefficients without an Organic Modifier
We present a high-performance chromatographic method for the determination of octanol–water partition coefficients of organic molecules, suitable for pharmaceuticals, agrochemicals, and fine-chemicals featuring acidic and basic pKa values. By selecting short-alkyl-columns based on length and coating them with octanol present in the mobile phase, we can measure a logP range of 0–5.6 without the use of an organic additive. The method has shown to be accurate for a set of 146 commercial molecules reported here, as well as over 27,000 in-house proprietary research molecules, the results of which have been used to train our own machine learning model. The method is also insensitive to analyte concentration or purity, and can be partially automated to obtain a relatively high throughput for industrial purposes.
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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