Rational design of mixtures for chromatographic peak tracking applications via multivariate selectivity

IF 2.5 Q1 Chemistry
Daniel W. Cook , Kelson G. Oram , Sarah C. Rutan , Dwight R. Stoll
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引用次数: 1

Abstract

Chromatographic characterization and parameterization studies targeting many solutes require the judicious choice of operating conditions to minimize analysis time without compromising the accuracy of the results. To minimize analysis time, solutes are often grouped into a small number of mixtures; however, this increases the risk of peak overlap. While multivariate curve resolution methods are often able to resolve analyte signals based on their spectral qualities, these methods require that the chromatographically overlapped compounds have dissimilar spectra. In this work, a strategy for grouping compounds into sample mixtures containing solutes with distinct spectral and, optionally, with distinct chromatographic properties, in order to ensure successful solute resolution either chromatographically or with curve resolution methods is proposed. We name this strategy rational design of mixtures (RDM). RDM utilizes multivariate selectivity as a metric for making decisions regarding group membership (i.e., whether to add a particular solute to a particular sample). A group of 97 solutes was used to demonstrate this strategy. Utilizing both estimated chromatographic properties and measured spectra to group these 97 analytes, only 12 groups were required to avoid a situation where two or more solutes in the same group could not be resolved either chromatographically (i.e., they have significantly different retention times) or spectrally (i.e., spectra are different enough to enable resolution by curve resolution methods). When only spectral properties were utilized (i.e., the chromatographic properties are unknown ahead of time) the number of groups required to avoid unresolvable overlaps increased to 20. The grouping strategy developed here will improve the time and instrument efficiency of studies that aim to obtain retention data for solutes as a function of operating conditions, whether for method development or determination of the chromatographic parameters of solutes of interest (e.g., kw).

Abstract Image

通过多变量选择性合理设计色谱峰跟踪应用的混合物
针对许多溶质的色谱表征和参数化研究需要明智地选择操作条件,以最大限度地减少分析时间,同时不影响结果的准确性。为了减少分析时间,溶质通常被分成少量的混合物;然而,这增加了峰值重叠的风险。虽然多变量曲线解析方法通常能够根据分析物的光谱质量来解析分析物信号,但这些方法要求色谱重叠的化合物具有不同的光谱。在这项工作中,提出了一种将化合物分组成含有具有不同光谱和可选的具有不同色谱性质的溶质的样品混合物的策略,以确保通过色谱或曲线分辨率方法成功地解决溶质问题。我们将这种策略称为混合的合理设计(RDM)。RDM利用多变量选择性作为决定组成员(即,是否向特定样品添加特定溶质)的度量。一组97个溶质被用来证明这一策略。利用估计的色谱性质和测量的光谱对这97种分析物进行分组,只需要12组,以避免同一组中两种或更多溶质无法通过色谱(即它们具有显着不同的保留时间)或光谱(即光谱差异足以通过曲线解析方法进行解析)来解决的情况。当仅利用光谱性质时(即,色谱性质事先未知),避免不可分辨重叠所需的基团数量增加到20个。这里开发的分组策略将提高研究的时间和仪器效率,这些研究旨在获得作为操作条件函数的溶质保留数据,无论是用于方法开发还是确定感兴趣的溶质的色谱参数(例如,kw)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytica Chimica Acta: X
Analytica Chimica Acta: X Chemistry-Analytical Chemistry
自引率
0.00%
发文量
3
审稿时长
16 weeks
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