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Blind column selection protocol for two-dimensional high performance liquid chromatography
DOI:10.1016/j.talanta.2016.03.056.png)
摘要
En 中文
The selection of two orthogonal columns for two-dimensional high performance liquid chromatography (LC x LC) separation of natural product extracts can be a labour intensive and time consuming process and in many cases is an entirely trial-and-error approach. This paper introduces a blind optimisation method for column selection of a black box of constituent components. A data processing pipeline, created in the open source application OpenMS (R), was developed to map the components within the mixture of equal mass across a library of HPLC columns; LC x LC separation space utilisation was compared by measuring the fractional surface coverage, f(coverage). It was found that for a test mixture from an opium poppy (Papaver somniferum) extract, the combination of diphenyl and C18 stationary phases provided a predicted f(coverage) of 0.48 and was matched with an actual usage of 0.43. OpenMS (R), in conjunction with algorithms designed in house, have allowed for a significantly quicker selection of two orthogonal columns, which have been optimised for a LC x LC separation of crude extractions of plant material. (c) 2016 Elsevier B.V. All rights reserved.
Keyword:
Electrospray mass spectrometry
Multidimensional high performance liquid chromatography
OpenMS (R)
Plant extracts
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期刊
IF:
6.1
论文数:
2.6W
被引数:
6.3W
机构
引用论文
Protocols for finding the most orthogonal dimensions for two-dimensional high performance liquid chromatography
TALANTA
IF6.1
Equation for Peak Capacity Estimation in Two-Dimensional Liquid Chromatography
ANALYTICAL CHEMISTRY
IF6.7

