| Literature DB >> 29154200 |
Caroline Schmitz1, Fernanda Ramlov2, Leidson Allan Ferreira de Lucena3, Virgilio Uarrota2, Manuela Bernardes Batista3, Marina Nasri Sissini3, Iara Oliveira4, Bruno Briani3, Cintia D L Martins3, José Marcos de Castro Nunes4, Leonardo Rörig3, Paulo Antunes Horta3, Félix L Figueroa5, Nathalie Korbee5, Marcelo Maraschin2, José Bonomi-Barufi3.
Abstract
Absorption spectra are indicative of biological sample chemical composition and can be used as a basis for the construction of descriptive and predictive models for biotechnological screening or assays. In marine algae, chemical composition can vary due to species-specific differences in biochemistry, as well as intra-specific responses to unique environmental variables. Different indices (UVCi, UVB+Ai and PARi) were proposed and calculated to evaluate how photoprotective compounds vary in 18 species of Phaeophyceae. In addition, they were correlated to abiotic factors. Through this technique, seven main peaks were detected in the absorbing spectra of marine brown algal extracts. The highest photoprotective indices values were found in species collected in tropical areas, where higher solar radiation is observed compared to the southern Brazilian coast. Considering additional abiotic factors, water temperature and nitrate concentration were negatively correlated with UV indices. PARi's indices were positively affected by nitrate. All species collected on the Brazilian coast have absorption peaks in the region of phenolic compounds and carotenoids, suggesting that tropical marine brown macroalgae may have developed an effective antioxidant defense system, suggesting adaptation to environments characterized by high solar radiation. UVR/PAR indices congregated essential information to possible future biotechnological screening, facilitating selection of high priority species or sites, fostering actions to enhance alternative sustainable management strategies of coastal environments.Entities:
Keywords: Brown algae; Radiation; Screening; Spectrophotometer; UV–VIS
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Year: 2017 PMID: 29154200 DOI: 10.1016/j.jphotobiol.2017.10.029
Source DB: PubMed Journal: J Photochem Photobiol B ISSN: 1011-1344 Impact factor: 6.252