Literature DB >> 30659858

Assessment of white rot fungus mediated hardwood degradation by FTIR spectroscopy and multivariate analysis.

Darshan M Rudakiya1, Akshaya Gupte2.   

Abstract

Evaluating the biomass degradation using fast, validate and sensitive techniques for exploratory purposes of biofuel production has been developed since last decade. Thus, we assessed the degradation of two Indian hardwoods using FTIR and chemometric approaches. Two white rot fungi, namely Pseudolagarobasidium acaciicola AGST3 and Tricholoma giganteum AGDR1, were selected among twenty-one fungal isolates for higher hardwood degradation. In the screening, P. acaciicola AGST3 and T. giganteum AGDR1 depicted the dry woody mass loss of 20.51% and 22.38%, respectively. Cellulose crystallinity of P. acaciicola AGST3 treated hardwoods was 4-fold lower than untreated hardwoods, showing the higher cellulose degradation efficiency. P. acaciicola AGST3 treated samples exhibited maximum deviation of guaiacyl units of lignin, cellulose and hemicelluloses. T. giganteum AGDR1 treated hardwoods showed maximum deviation of guaiacyl- and syringyl- units of lignin and hemicelluloses. Multivariate approach revealed the degradation patterns and preferences are varied based on the fungi and hardwood. The approach used in the present study can certainly distinguish the variations among the different biomass samples that having similar composition. Additionally, higher lignin degradability of these fungi can be used in biomass pretreatment, which significantly utilized to produce second-generation biofuels.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  FTIR spectroscopy; Hardwood; Multivariate analysis; White rot fungi

Year:  2019        PMID: 30659858     DOI: 10.1016/j.mimet.2019.01.007

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  1 in total

1.  Natural Deterioration Processes of Salix psammophila Sand Barriers in Atmospheric Exposure Section.

Authors:  Ruidong Wang; Xiaohong Dang; Yong Gao; Xia Yang; Yumei Liang; Chen Zhao; Xiaoting Duan
Journal:  Front Plant Sci       Date:  2022-04-08       Impact factor: 6.627

  1 in total

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