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Determination of Hemicellulose, Cellulose and Lignin in Moso Bamboo by Near Infrared Spectroscopy

Scientific reports, 2015-11, Vol.5 (1), p.17210-17210, Article 17210 [Peer Reviewed Journal]

Copyright Nature Publishing Group Nov 2015 ;Copyright © 2015, Macmillan Publishers Limited 2015 Macmillan Publishers Limited ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep17210 ;PMID: 26601657

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  • Title:
    Determination of Hemicellulose, Cellulose and Lignin in Moso Bamboo by Near Infrared Spectroscopy
  • Author: Li, Xiaoli ; Sun, Chanjun ; Zhou, Binxiong ; He, Yong
  • Subjects: Algorithms ; Biomass ; Cellulose ; Cellulose - chemistry ; Hemicellulose ; Infrared imaging systems ; Infrared spectroscopy ; Least-Squares Analysis ; Lignin ; Lignin - chemistry ; Neural networks ; Poaceae - chemistry ; Poaceae - metabolism ; Polysaccharides - chemistry ; Spectroscopy, Near-Infrared ; Spectrum analysis ; Support Vector Machine
  • Is Part Of: Scientific reports, 2015-11, Vol.5 (1), p.17210-17210, Article 17210
  • Description: The contents of hemicellulose, cellulose and lignin are important for moso bamboo processing in biomass energy industry. The feasibility of using near infrared (NIR) spectroscopy for rapid determination of hemicellulose, cellulose and lignin was investigated in this study. Initially, the linear relationship between bamboo components and their NIR spectroscopy was established. Subsequently, successive projections algorithm (SPA) was used to detect characteristic wavelengths for establishing the convenient models. For hemicellulose, cellulose and lignin, 22, 22 and 20 characteristic wavelengths were obtained, respectively. Nonlinear determination models were subsequently built by an artificial neural network (ANN) and a least-squares support vector machine (LS-SVM) based on characteristic wavelengths. The LS-SVM models for predicting hemicellulose, cellulose and lignin all obtained excellent results with high determination coefficients of 0.921, 0.909 and 0.892 respectively. These results demonstrated that NIR spectroscopy combined with SPA-LS-SVM is a useful, nondestructive tool for the determinations of hemicellulose, cellulose and lignin in moso bamboo.
  • Publisher: England: Nature Publishing Group
  • Language: English
  • Identifier: ISSN: 2045-2322
    EISSN: 2045-2322
    DOI: 10.1038/srep17210
    PMID: 26601657
  • Source: MEDLINE
    PubMed Central
    ProQuest Central
    DOAJ Directory of Open Access Journals
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