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Determination of composition of cellulose and lignin mixtures using thermogravimetric analysis

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dc.contributor.author Singh, K en
dc.contributor.author Risse, M en
dc.contributor.author Das, KC en
dc.contributor.author Worley, J en
dc.date.accessioned 2014-06-06T06:48:56Z
dc.date.available 2014-06-06T06:48:56Z
dc.date.issued 2009 en
dc.identifier.issn 01950738 en
dc.identifier.uri http://dx.doi.org/10.1115/1.3120349 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/4342
dc.subject Bioenergy en
dc.subject Biofuel en
dc.subject Biomass en
dc.subject Cellulose en
dc.subject Composition en
dc.subject Lignin en
dc.subject TGA en
dc.title Determination of composition of cellulose and lignin mixtures using thermogravimetric analysis en
heal.type journalArticle en
heal.identifier.primary 10.1115/1.3120349 en
heal.publicationDate 2009 en
heal.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. Copyright © 2009 by ASME. en
heal.journalName Journal of Energy Resources Technology en
dc.identifier.issue 2 en
dc.identifier.volume 131 en
dc.identifier.doi 10.1115/1.3120349 en


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