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Abstract
Factor analysis on mixed data (FAMD) was carried out on an open access fucoidan extract data base to uncover potential parameters which affect the use of fucoidans in cosmetics (elastase inhibition) and in the field of ophthalmology. The confidence ellipsoids for the fucoidan extracts exhibiting elastase inhibition, and the extracts showing no inhibition, were separated well in the dimensional space created from the variables. The tentative results suggest that innate algae factors, such as the species, the region where it was collected, and the harvest time, greatly influence elastase inhibition activity. Similarly, it was found that glucose content could potentially affect the bioactivity, likely because laminarin is present in the extract. These tentative findings suggest that some species are more suited for use in cosmetics, and that the harvest time likely needs to be optimized. No separation was obtained in the dimensional space on the ophthalmology data, which was likely due to limited, comparable data.
| Original language | English |
|---|---|
| Article number | 102220 |
| Journal | Algal Research |
| Volume | 54 |
| Number of pages | 3 |
| ISSN | 2211-9264 |
| DOIs | |
| Publication status | Published - Apr 2021 |
Funding
This study is part of the EU InterReg Deutschland-Denmark project “FucoSan - Health from the Sea”, which is funded by the European Regional Development Fund (grant number 39-1.0-16 ). The authors also thank the EU Interreg North Sea Region project (grant number 38-2-4-17 ) BIOCAS, circular BIOmass Cascade for finacial support.
Keywords
- Factor analysis on mixed data (FAMD)
- Fucoidan
- Sulfated polysaccharides
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Dive into the research topics of 'Extracting activity patterns: Exploratory data analysis on a fucoidan extract data set with mixed variables'. Together they form a unique fingerprint.Related projects
- 1 Finished
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FucoSan: FucoSan: Health from the sea / Sundhed fra Havet / Gesundheit aus dem Meer
Fretté, X. C. (PI), Ptak, S. H. (PhD student) & Christensen, K. V. (Project participant)
01/03/2017 → 31/08/2020
Project: EU
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