Delving into the Polar Lipidome by Optimized Chromatographic Separation, High-Resolution Mass Spectrometry, and Comprehensive Identification with Lipostar: Microalgae as Case Study

Giorgia La Barbera; Michela Antonelli; Chiara Cavaliere; Gabriele Cruciani; Laura Goracci; Carmela Maria Montone; Susy Piovesana; Aldo Laganà; Anna Laura Capriotti

doi:10.1021/acs.analchem.8b03482

Delving into the Polar Lipidome by Optimized Chromatographic Separation, High-Resolution Mass Spectrometry, and Comprehensive Identification with Lipostar: Microalgae as Case Study

Giorgia La Barbera, Michela Antonelli, Chiara Cavaliere, Gabriele Cruciani, Laura Goracci, Carmela Maria Montone, Susy Piovesana^*, Aldo Laganà, Anna Laura Capriotti

^*Corresponding author for this work

Nutrition and Health

10 Citations (Scopus)

Abstract

The work describes the chromatographic separation optimization of polar lipids on Kinetex-EVO, particularly focusing on sulfolipids in spirulina microalgae (Arthrospira platensis). Gradient shape and mobile-phase modifiers (pH and buffer) were tested on lipid standards. Different conditions were evaluated, and resolution, peak capacity, and peak shape were calculated both in negative mode, for sulfolipids and phospholipids, and in positive mode, for glycolipids. A high-confidence lipid identification strategy was also applied. In collaboration with software creators and developers, Lipostar was implemented to improve the identification of phosphoglycerolipids and to allow the identification of glycosylmonoradyl- and glycosyldiradyl-glycerols classes, the last being the main focus of this work. By this approach, an untargeted screening also for searching lipids not yet reported in the literature could be accomplished. The optimized chromatographic conditions and database search were tested for lipid identification first on the standard mixture, then on the polar lipid extract of spirulina microalgae, for which 205 lipids were identified.

Original language	English
Journal	Analytical Chemistry
Volume	90
Issue number	20
Pages (from-to)	12230-12238
Number of pages	9
ISSN	0003-2700
DOIs	https://doi.org/10.1021/acs.analchem.8b03482
Publication status	Published - 16 Oct 2018

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La Barbera, G., Antonelli, M., Cavaliere, C., Cruciani, G., Goracci, L., Montone, C. M., Piovesana, S., Laganà, A., & Capriotti, A. L. (2018). Delving into the Polar Lipidome by Optimized Chromatographic Separation, High-Resolution Mass Spectrometry, and Comprehensive Identification with Lipostar: Microalgae as Case Study. Analytical Chemistry, 90(20), 12230-12238. https://doi.org/10.1021/acs.analchem.8b03482

Delving into the Polar Lipidome by Optimized Chromatographic Separation, High-Resolution Mass Spectrometry, and Comprehensive Identification with Lipostar : Microalgae as Case Study. / La Barbera, Giorgia; Antonelli, Michela; Cavaliere, Chiara et al.

In: Analytical Chemistry, Vol. 90, No. 20, 16.10.2018, p. 12230-12238.

Research output: Contribution to journal › Journal article › Research › peer-review

La Barbera, G, Antonelli, M, Cavaliere, C, Cruciani, G, Goracci, L, Montone, CM, Piovesana, S, Laganà, A & Capriotti, AL 2018, 'Delving into the Polar Lipidome by Optimized Chromatographic Separation, High-Resolution Mass Spectrometry, and Comprehensive Identification with Lipostar: Microalgae as Case Study', Analytical Chemistry, vol. 90, no. 20, pp. 12230-12238. https://doi.org/10.1021/acs.analchem.8b03482

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abstract = "The work describes the chromatographic separation optimization of polar lipids on Kinetex-EVO, particularly focusing on sulfolipids in spirulina microalgae (Arthrospira platensis). Gradient shape and mobile-phase modifiers (pH and buffer) were tested on lipid standards. Different conditions were evaluated, and resolution, peak capacity, and peak shape were calculated both in negative mode, for sulfolipids and phospholipids, and in positive mode, for glycolipids. A high-confidence lipid identification strategy was also applied. In collaboration with software creators and developers, Lipostar was implemented to improve the identification of phosphoglycerolipids and to allow the identification of glycosylmonoradyl- and glycosyldiradyl-glycerols classes, the last being the main focus of this work. By this approach, an untargeted screening also for searching lipids not yet reported in the literature could be accomplished. The optimized chromatographic conditions and database search were tested for lipid identification first on the standard mixture, then on the polar lipid extract of spirulina microalgae, for which 205 lipids were identified.",

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Delving into the Polar Lipidome by Optimized Chromatographic Separation, High-Resolution Mass Spectrometry, and Comprehensive Identification with Lipostar: Microalgae as Case Study

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