Heliyon (Nov 2018)

Nutraceutical potential of Asparagopsis taxiformis (Delile) Trevisan extracts and assessment of a downstream purification strategy

  • N. Nunes,
  • S. Valente,
  • S. Ferraz,
  • Maria Carmo Barreto,
  • M.A.A. Pinheiro de Carvalho

Journal volume & issue
Vol. 4, no. 11
p. e00957

Abstract

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The main goal of the present work was to determine the nutraceutical potential of Asparagopsis taxiformis D. extracts from Madeira Archipelago south coast. Extraction methodologies consisted either/or in 72 hours stirring, at room temperature (M1), or 6 cycles of Soxhlet extraction (M2), both with re-extraction. Solvents used were distilled water, ethanol, methanol and ethyl acetate. M1 allowed to obtain the highest values for extraction yield (31.65 g.100g−1 dw) using water, whereas iodine content (3.37 g.100g−1 dw), TPC (1.71 g GAE.100g−1 dw) and chlorophyll a (45.96 mg.100g−1 dw) were obtained using ethanol, and TCC (36.23 mg.100g−1 dw) with methanol. Extracts that showed higher reduction activity in M1 were derived from ethanol extraction (1,908 mg AAE.100g−1 dw). Water and ethanol were the best solvents for higher DPPH scavenging activity in M2, both with same result (IC50 1.37 mg.mL−1). The lowest value of IC50 for chelating activity (1.57 mg.mL−1) was determined in M1, using ethyl acetate. The remaining residue was used to obtain other products, i.e. lipid extraction (M1, 2.05 g.100g−1 dw), carrageenans (M2, 21.18 g.100g−1 dw) and cellulose (M1, 23.81 g.100g−1 dw) with subsequent FTIR ATR analysis. Our results show that A. taxiformis is a valuable source of bioactive compounds. The M1 extraction methodology using ethanol is the most effective solvent to produce an iodine rich bioactive extract with potential of being used as a nutraceutical supplement. Also, we have demonstrated a possible downstream strategy that could be implemented for multiple compound extraction from A. taxiformis residue. This has a vital importance for future feasibility, when using this biomass as an industrial feedstock for multiple products production. Statistical analysis, using SPSS 24.0, was also performed and important correlations were found between assays and methods.

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