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    Determination of Composition of Cellulose and Lignin Mixtures Using Thermogravimetric Analysis

    Source: Journal of Energy Resources Technology:;2009:;volume( 131 ):;issue: 002::page 22201
    Author:
    Kaushlendra Singh
    ,
    Mark Risse
    ,
    K. C. Das
    ,
    John Worley
    DOI: 10.1115/1.3120349
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The proportional composition of cellulose, hemicellulose, lignin, and minerals in a biomass plays a significant role in the proportion of pyrolysis products (bio-oil, char, and gases). Traditionally, the composition of biomass is chemically determined, which is a time consuming process. This paper presents the results of a preliminary investigation of a method using thermogravimetric analysis for predicting the fraction of cellulose and lignin in lignin-cellulose mixtures. The concept is based on a newly developed theory of pyrolytic unit thermographs (PUTs). The PUT is a thermograph showing rate of change in biomass weight with respect to temperature for a unit weight loss. These PUTs were used as input for two predictive mathematical procedures that minimize noise to predict the fractional composition in unknown lignin-cellulose mixtures. The first model used linear correlations between cellulose/lignin content and peak decomposition rate while the second method used a system of linear equations. Results showed that both models predicted the composition of lignin-cellulose mixture within 7–18% of measured value. The promising results of this preliminary study will certainly motivate further refinement of this method through advanced research.
    keyword(s): Biomass , Equations , Mixtures AND Temperature ,
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      Determination of Composition of Cellulose and Lignin Mixtures Using Thermogravimetric Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/140359
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    contributor authorKaushlendra Singh
    contributor authorMark Risse
    contributor authorK. C. Das
    contributor authorJohn Worley
    date accessioned2017-05-09T00:32:25Z
    date available2017-05-09T00:32:25Z
    date copyrightJune, 2009
    date issued2009
    identifier issn0195-0738
    identifier otherJERTD2-26562#022201_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/140359
    description abstractThe proportional composition of cellulose, hemicellulose, lignin, and minerals in a biomass plays a significant role in the proportion of pyrolysis products (bio-oil, char, and gases). Traditionally, the composition of biomass is chemically determined, which is a time consuming process. This paper presents the results of a preliminary investigation of a method using thermogravimetric analysis for predicting the fraction of cellulose and lignin in lignin-cellulose mixtures. The concept is based on a newly developed theory of pyrolytic unit thermographs (PUTs). The PUT is a thermograph showing rate of change in biomass weight with respect to temperature for a unit weight loss. These PUTs were used as input for two predictive mathematical procedures that minimize noise to predict the fractional composition in unknown lignin-cellulose mixtures. The first model used linear correlations between cellulose/lignin content and peak decomposition rate while the second method used a system of linear equations. Results showed that both models predicted the composition of lignin-cellulose mixture within 7–18% of measured value. The promising results of this preliminary study will certainly motivate further refinement of this method through advanced research.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDetermination of Composition of Cellulose and Lignin Mixtures Using Thermogravimetric Analysis
    typeJournal Paper
    journal volume131
    journal issue2
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.3120349
    journal fristpage22201
    identifier eissn1528-8994
    keywordsBiomass
    keywordsEquations
    keywordsMixtures AND Temperature
    treeJournal of Energy Resources Technology:;2009:;volume( 131 ):;issue: 002
    contenttypeFulltext
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