Literature DB >> 15030192

Rapid prediction of solid wood lignin content using transmittance near-infrared spectroscopy.

Ting-Feng Yeh1, Hou-Min Chang, John F Kadla.   

Abstract

A rapid transmittance near-infrared (NIR) spectroscopic method has been developed to characterize the lignin content of solid wood. Using simple, multiple regression, and partial least-squares statistical analysis the lignin contents of wood wafers, taken from increment cores, and synthetic wood, prepared by blending milled wood lignin and holocellulose, were compared and quantified. Strong correlations were obtained between the predicted NIR results and those obtained from traditional chemical methods. In addition to the experimental protocol and method development, NIR results from wood samples with different particle sizes and various lignin contents are discussed.

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Year:  2004        PMID: 15030192     DOI: 10.1021/jf034874r

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  5 in total

1.  FTIR-ATR-based prediction and modelling of lignin and energy contents reveals independent intra-specific variation of these traits in bioenergy poplars.

Authors:  Guanwu Zhou; Gail Taylor; Andrea Polle
Journal:  Plant Methods       Date:  2011-04-10       Impact factor: 4.993

Review 2.  Recent developments in fast spectroscopy for plant mineral analysis.

Authors:  Marie van Maarschalkerweerd; Søren Husted
Journal:  Front Plant Sci       Date:  2015-03-24       Impact factor: 5.753

Review 3.  NIR and Py-mbms coupled with multivariate data analysis as a high-throughput biomass characterization technique: a review.

Authors:  Li Xiao; Hui Wei; Michael E Himmel; Hasan Jameel; Stephen S Kelley
Journal:  Front Plant Sci       Date:  2014-08-07       Impact factor: 5.753

4.  Classification and Identification of Plant Fibrous Material with Different Species Using near Infrared Technique-A New Way to Approach Determining Biomass Properties Accurately within Different Species.

Authors:  Wei Jiang; Chengfeng Zhou; Guangting Han; Brian Via; Tammy Swain; Zhaofei Fan; Shaoyang Liu
Journal:  Front Plant Sci       Date:  2017-01-05       Impact factor: 5.753

5.  Rapid Measurement of Cellulose, Hemicellulose, and Lignin Content in Sargassum horneri by Near-Infrared Spectroscopy and Characteristic Variables Selection Methods.

Authors:  Ning Ai; Yibo Jiang; Sainab Omar; Jiawei Wang; Luyue Xia; Jie Ren
Journal:  Molecules       Date:  2022-01-06       Impact factor: 4.411

  5 in total

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