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Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments
Abstract
We used chromatography modeling software to assist in HPLC method development, with the goal of enhancing separations through the exclusive use of gradient time and column temperature. We surveyed nine stationary phases for their utility in pigment purification and natural sample analysis. For purification, a complex algal matrix was separated on an efficient monomeric column, from which partially purified fractions were collected and purified on polymeric columns that exaggerated resolution between pigments of interest. Additionally, we feature an HPLC method that is simple, fast, demonstrates excellent transferability and is ideal for quantitative analysis of pigments in dilute natural water samples.
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Metadata
- Authors
- Van Heukelem, L., & Thomas, C. S.
- Venue
- Journal of Chromatography A
- Publisher
- Elsevier BV
- Published
- 2001-02
- Volume
- 910
- Issue
- 1
- Pages
- 31-49
- ISSN
- 0021-9673 (ISSN-L)
- OpenAlex
- W2112412743
- Cited by
- 823
- References
- 0
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments. https://app.cochat.ai/papers/10.1016/s0378-4347(00)00603-4
- The paper
- Van Heukelem, L., & Thomas, C. S. (2001). Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments. Journal of Chromatography A. https://doi.org/10.1016/s0378-4347(00)00603-4
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.