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Evaluation of a Wet Processing Strategy for Mixed Phumdi Biomass Conversion to Bioethanol

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dc.contributor.author Puthiyamadam, Anoop
dc.contributor.author Adarsh, V P
dc.contributor.author Mallapureddy, Kiran Kumar
dc.contributor.author Mathew, Anil
dc.contributor.author Jitendra Kumar
dc.contributor.author Yenumala, S R
dc.contributor.author Bhaskar, Thallada
dc.contributor.author Sabeela Beevi, U
dc.contributor.author Sahoo, D
dc.contributor.author Sukumaran, R K
dc.date.accessioned 2020-02-25T12:01:58Z
dc.date.available 2020-02-25T12:01:58Z
dc.date.issued 2019-06-09
dc.identifier.citation Bioresource Technology; 289:121633 en_US
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S0960852419308636
dc.identifier.uri http://10.10.100.66:8080/xmlui/handle/123456789/3484
dc.description.abstract Biorefineries typically use dry feedstock due to technical and logistic issues, but in unique cases where climatic conditions are unfavorable and where the biomass has to be processed without a holding time, wet processing might be advantageous. The present study evaluated the possibility of using the fresh (non-dried) mixed biomass harvested from Phumdis; which are floating vegetation unique to Loktak lake in Manipur, India, for bioethanol production. Pretreatment with dilute alkali (1.5% at 120 °C for 60 min) resulted in 36% lignin removal and an enhancement of cellulose content to 48% from 37%, and enzymatic hydrolysis released 25 g/L glucose. Fermentation of the hydrolysates was highly efficient at 95%, attained in 36 h and 80% in just 12 h. The new wet processing strategy could help in value addition of mixed phumdi biomass. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Wet processing en_US
dc.subject Biomass en_US
dc.subject Phumdi en_US
dc.subject Loktak en_US
dc.subject Bioethanol en_US
dc.subject Lignocellulose en_US
dc.title Evaluation of a Wet Processing Strategy for Mixed Phumdi Biomass Conversion to Bioethanol en_US
dc.type Article en_US


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  • 2019
    Research articles authored by NIIST researchers published in 2019

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