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Efficient Green Extraction of Nutraceutical Compounds from Nannochloropsis gaditana : A Comparative Electrospray Ionization LC-MS and GC-MS Analysis for Lipid Profiling.

Authors :
Blanco-Llamero, Cristina
García-García, Paz
Señoráns, Francisco Javier
Source :
Foods; Dec2024, Vol. 13 Issue 24, p4117, 17p
Publication Year :
2024

Abstract

Microalgae have been described as a potential alternative source of a wide range of bioactive compounds, including polar lipids and carotenoids. Specifically, Nannochloropsis gaditana is described as producing large amounts of polar lipids, such as glycolipids and phospholipids. These natural active compounds serve as key ingredients for food, cosmetic, or nutraceutical applications. However, microalgae usually possess a rigid cell wall that complicates the extraction of these compounds. Thus, an ultrasound-assisted enzymatic pretreatment is necessary to efficiently extract bioactives from microalgae, and it was studied in this article. Pretreated biomass was extracted using different advanced and green methodologies and compared to traditional extraction. Furthermore, the analysis, characterization, and identification of valuable compounds using GC-MS and LC-MS analytical methods were also investigated. Interestingly, major results demonstrated the efficiency of the pretreatment, enriching polar lipids' distribution in all extracts produced no matter the extraction technique, although they presented differences in their concentration. Pressurized liquid extraction and microwave-assisted extraction were found to be the techniques with the highest yields, whereas ultrasound-assisted extraction achieved the highest percentage of glycolipids. In summary, green extraction techniques showed their effectiveness compared to traditional extraction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23048158
Volume :
13
Issue :
24
Database :
Complementary Index
Journal :
Foods
Publication Type :
Academic Journal
Accession number :
181955011
Full Text :
https://doi.org/10.3390/foods13244117