Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/778
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dc.contributor.authorChavali, Murthy-
dc.contributor.authorSingh, Meenakshi-
dc.contributor.authorMal, Navonil-
dc.contributor.authorMohapatra, Reecha-
dc.contributor.authorBagchi, Trisha-
dc.contributor.authorParambath, Sreestha Dinesh-
dc.contributor.authorRao, Close Kummara Madhusudana-
dc.date.accessioned2023-05-26T09:43:12Z-
dc.date.available2023-05-26T09:43:12Z-
dc.date.issued2022-04-15-
dc.identifier.urihttps://doi.org/10.1016/j.chemosphere.2022.133513-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/778-
dc.description.abstractThe use of renewable energy sources as a substitute for nonrenewable fossil fuels is urgently required. Algae biorefinery platform provides an excellent alternate to overcome future energy problems. However, to let this viable biomass be competent with existing feedstocks, it is necessary to exploit genetic manipulation and improvement in upstream and downstream platforms for optimal bio-product recovery. Furthermore, the techno-economic strategies further maximize metabolites production for biofuel, biohydrogen, and other industrial applications. The experimental methodologies in algal photobioreactor promote high biomass production, enriched in lipid and starch content in limited environmental conditions. This review presents an optimization framework combining genetic manipulation methods to simulate microalgal growth dynamics, understand the complexity of algal biorefinery to scale up, and identify green strategies for techno-economic feasibility of algae for biomass conversion. Overall, the algal biorefinery opens up new possibilities for the valorization of algae biomass and the synthesis of various novel products.en_US
dc.language.isoenen_US
dc.publisherScienceDirecten_US
dc.titleRecent biotechnological developments in reshaping the microalgal genome: A signal for green recovery in biorefinery practicesen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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