Literature DB >> 28238371

Characterization of lignocellulosic compositions' degradation during chicken manure composting with added biochar by phospholipid fatty acid (PLFA) and correlation analysis.

Ning Liu1, Jialiang Zhou1, Lujia Han1, Guangqun Huang2.   

Abstract

Biorefractory high polymer lignocellulosic compositions may limit rapid composting and stable decomposition. Because their degradation during composting is not well understood, the correlation with microbial community profiles was assessed to reveal degradation mechanism of lignocellulosic compositions. Testing of chicken manure aerobic composting with added biochar was performed using phospholipid fatty acid (PLFA) and correlation analysis. Results demonstrated a good composting effect with good dynamic correlation between microbial characteristic (PLFA) and lignocellulosic compositions' degradation ratio. The prediction model for hemicellulose degradation ratio (R2=0.97, SEP=3.24) and the prediction model for cellulose degradation ratio (R3=0.94, SEP=3.09), built using PLFA 16:0-18:2ω6c and PLFA 18:2ω6c-18:3ω3 as the arguments had good predictive ability. Based on microbial analysis and quantitative characterization of the degradation ratio, the prediction models provided methodological support for delineating the mechanism of lignocellulosic compositions' degradation during chicken manure aerobic composting with added biochar.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Composting; Correlation analysis; Degradation characteristics; Lignocellulosic compositions; Phospholipid fatty acid

Year:  2017        PMID: 28238371     DOI: 10.1016/j.scitotenv.2017.02.081

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Degradation mechanism of lignocellulose in dairy cattle manure with the addition of calcium oxide and superphosphate.

Authors:  Yingying Cai; Yanhua He; Kang He; Haijun Gao; Meijie Ren; Guangfei Qu
Journal:  Environ Sci Pollut Res Int       Date:  2019-10-08       Impact factor: 4.223

2.  Assessing the Microbial Communities in Four Different Daqus by Using PCR-DGGE, PLFA, and Biolog Analyses.

Authors:  Yuxi Ling; Wenying Li; Tong Tong; Zuming Li; Qian Li; Zhihui Bai; Guijun Wang; Jiahao Chen; Yuguang Wang
Journal:  Pol J Microbiol       Date:  2020
  2 in total

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