Liquid Chromatography

Herwerden, Denice van; Pirok, Bob W.J.; Schoenmakers, Peter J.

doi:10.1002/9781119523314.ch5

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2021

2023

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Cited by 3 publications

(1 citation statement)

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“…The problem of identification and separation of components in a mixture arises in many areas, from the oil and gas industry 1 to doping 2 and drug 3 detection. Chromatography is one of the most powerful and widespread methods of compound separation, and measured RTs serve as the discriminate characteristics of molecules.…”

Section: Introductionmentioning

confidence: 99%

3D chemical structures allow robust deep learning models for retention time prediction

et al. 2022

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Section: Introductionmentioning

confidence: 99%

3D chemical structures allow robust deep learning models for retention time prediction

et al. 2022

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Applications of High Performance Liquid Chromatography in the Petroleomic Analysis of Crude Oil: A Mini-Review

Heshka

2021

Energy Fuels

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High performance liquid chromatography (HPLC) is a well established analytical technique in the study of crude oil, and it has recently become more integrated within the field of petroleomics as a first step before high-resolution mass spectrometric analysis. This mini-review summarizes and discusses the applications of HPLC for the analyses of crude oil and its related products that have been published over the last 10 years. A brief introduction to separation science is provided, and applications are divided by compound class (group-type separations, heteroatoms, and other specialty analytes). Special attention is paid to applications that specifically couple to Fourier Transform ion cyclotron resonance mass spectrometry, and these are discussed in a separate section.

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State of the Art and Prospects for the Development of Methods for Determining the Group Hydrocarbon Composition (SARA Composition) of Crude Oil and Petroleum Products

Savonina,

Panyukova

2023

Russ J Appl Chem

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Liquid Chromatography

Cited by 3 publications

References 108 publications

3D chemical structures allow robust deep learning models for retention time prediction

3D chemical structures allow robust deep learning models for retention time prediction

Applications of High Performance Liquid Chromatography in the Petroleomic Analysis of Crude Oil: A Mini-Review

State of the Art and Prospects for the Development of Methods for Determining the Group Hydrocarbon Composition (SARA Composition) of Crude Oil and Petroleum Products

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