| Literature DB >> 34865764 |
Smita Singh1, Deepak Kumar Verma2, Mamta Thakur3, Soubhagya Tripathy4, Ami R Patel5, Nihir Shah5, Gemilang Lara Utama6, Prem Prakash Srivastav4, Juan Roberto Benavente-Valdés7, Mónica L Chávez-González7, Cristobal Noe Aguilar8.
Abstract
Application of high-value algal metabolites (HVAMs) in cosmetics, additives, pigments, foods and medicines are very important. These HVAMs can be obtained from the cultivation of micro- and macro-algae. These metabolites can benefit human and animal health in a physiological and nutritional manner. However, because of conventional extraction methods and their energy and the use of pollutant solvents, the availability of HVAMs from algae remains insufficient. Receiving their sustainability and environmental benefits have recently made green extraction technologies for HVAM extractions more desirable. But very little information is available about the technology of green extraction of algae from these HVAM. This review, therefore, highlights the supercritical fluid extraction (SCFE) as principal green extraction technologyand theirideal parameters for extracting HVAMs. In first, general information is provided concerning the HVAMs and their components of macro and micro origin. The review also includes a description of SCFE technology's properties, instrumentation operation, solvents used, and the merits and demerits. Moreover, there are several HVAMs associated with their numerous high-level biological activities which include high-level antioxidant, anti-inflammatory, anticancer and antimicrobial activity and have potential health-beneficial effects in humans since they are all HVAMs, such as foods and nutraceuticals. Finally, it provides future insights, obstacles, and suggestions for selecting the right technologies for extraction.Entities:
Keywords: Food application; High-value metabolites; Human health; Micro- and macro-algae; Supercritical fluid extraction
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Year: 2021 PMID: 34865764 DOI: 10.1016/j.foodres.2021.110746
Source DB: PubMed Journal: Food Res Int ISSN: 0963-9969 Impact factor: 6.475