介绍了双组分竞争吸附等温线数据的吸附能分布计算

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Abdul Haseeb, Yosief Wondmagegne, Miguel X. Fernandes and Jörgen Samuelsson*, 
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引用次数: 0

摘要

本文介绍了利用竞争吸附等温线数据计算吸附能分布(AED),首次研究了两组分的同时AED。AED通过可视化竞争吸附过程提供了重要的见解,提供了另一种吸附等温线模型,而不需要事先假设吸附非均质性,并帮助选择更准确的保留机制模型。竞争AED增强了我们对固定相上多组分相互作用的理解,这对于理解分析物如何在固定相表面竞争以及为制备色谱的数值优化选择吸附模型至关重要。在这里,双组分AED在合成和实验数据上进行了测试,并取得了非常成功的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing the Adsorption Energy Distribution Calculation for Two-Component Competitive Adsorption Isotherm Data

This work introduces the Adsorption Energy Distribution (AED) calculation using competitive adsorption isotherm data, enabling investigation of the simultaneous AED of two components for the first time. The AED provides crucial insights by visualizing competitive adsorption processes, offering an alternative adsorption isotherm model without prior assuming adsorption heterogeneity, and assisting in model selection for more accurate retention mechanistic modeling. The competitive AED enhances our understanding of multicomponent interactions on stationary phases, which is crucial for understanding how analytes compete on the stationary phase surface and for selecting adsorption models for numerical optimization of preparative chromatography. Here, the two-component AED was tested on both synthetic and experimental data, and a very successful outcome was achieved.

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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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