Seasonal Variation of Sargassum Muticum Biochemical Composition Determined by Fourier Transform Infra-Red Spectroscopy

  • VANDANJON L
  • Maureen D
  • et al.
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Abstract

Proliferation of the introduced brown macro alga Sargassum muticum is known as a natural and hard to control phenomenon occurring along the Atlantic coasts. The phenomenon causes serious troubles for local ecosystems including the alteration of ecosystem structure, the reduction in indigenous biodiversity and eco- nomic losses (tourism, aquaculture). However, despite the serious troubles caused by S. muticum, this species contains highly remarkable bioactive metabolites. This mac- ro alga is at present under-exploited and the valorization of its metabolites to give a positive value to this seaweed could be a solution of ecosystemic service. Biorefinery process could be one solution to valorize S. muticum. Comprehensive knowledge con- cerning the biochemical composition of S. muticum and the impact of environmental factors, particularly seasons, on its composition is a prerequisite before its valori- zation. In this study, the biochemical composition of S. muticum was evaluated by using classic colorimetric methods based on chemical analysis and Fourier Transform Infra-Red spectrometry (FTIR), and was used as a rapid and safe method that could bring advantages in screening studies and a more comprehensive management and use of seaweed products. Our results are globally in accordance, notably for phenolic compounds, showing the relevance of the use of infrared spectrometry. Moreover, based on the absorption bands of some specific and valuable compounds shown by FTIR, there was a seasonal variation in the polysaccharides, i.e., uronic acids and sulphated compounds, together with phenolic contents of S. muticum

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VANDANJON, L., Maureen, D., Maya, P., Philippe, D., Valarie, S.-P., … Nathalie, B. (2017). Seasonal Variation of Sargassum Muticum Biochemical Composition Determined by Fourier Transform Infra-Red Spectroscopy. Journal of Analytical, Bioanalytical and Separation Techniques, 2(1), 75–84. https://doi.org/10.15436/2476-1869.17.1555

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