Physicochemical Modeling for Hot Water Extraction of Birch Wood

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Physicochemical Modeling for Hot Water Extraction of Birch Wood. / Ahmad, Waqar; Kuitunen, Susanna; Borrega , Marc; Alopaeus, Ville.

In: Industrial and Engineering Chemistry Research, Vol. 55, No. 42, 26.10.2016, p. 11062-11073.

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@article{92c78b2d5b0041388662cf7b6a500696,
title = "Physicochemical Modeling for Hot Water Extraction of Birch Wood",
abstract = "This paper presents a model developed for hot water extraction of birch wood meal. Besides solids, two liquid phases are assumed in the system: liquid bound to a wood fiber wall and the other remaining external liquid. True chemical species, their reactions, and diffusion between the liquid phases are considered in the model. The breakdown of hemicellulose into short-chain polymers and monomeric sugar units is modeled by applying an accurate and computationally efficient population balance approach. State-of-the-art correlations and equations are used, thus aiming for a truly predictive model. Several thermodynamic and kinetic submodels are integrated to achieve additional information compared to models already presented in the literature. The presented model is capable of reproducing the measured concentration profiles of chemical species and molecular weight distribution of hemicellulose polymers as a function of the process conditions. The output concentration data are further utilized to calculate the dissolved species and pH in the two liquid phases. Eventually, it could be utilized in optimizing a batch hot water extraction process to maximize either the yield of long-chain hemicelluloses or their monomeric sugars.",
author = "Waqar Ahmad and Susanna Kuitunen and Marc Borrega and Ville Alopaeus",
year = "2016",
month = "10",
day = "26",
doi = "10.1021/acs.iecr.6b02987",
language = "English",
volume = "55",
pages = "11062--11073",
journal = "Industrial and Engineering Chemistry Research",
issn = "0888-5885",
publisher = "AMERICAN CHEMICAL SOCIETY",
number = "42",

}

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TY - JOUR

T1 - Physicochemical Modeling for Hot Water Extraction of Birch Wood

AU - Ahmad, Waqar

AU - Kuitunen, Susanna

AU - Borrega , Marc

AU - Alopaeus, Ville

PY - 2016/10/26

Y1 - 2016/10/26

N2 - This paper presents a model developed for hot water extraction of birch wood meal. Besides solids, two liquid phases are assumed in the system: liquid bound to a wood fiber wall and the other remaining external liquid. True chemical species, their reactions, and diffusion between the liquid phases are considered in the model. The breakdown of hemicellulose into short-chain polymers and monomeric sugar units is modeled by applying an accurate and computationally efficient population balance approach. State-of-the-art correlations and equations are used, thus aiming for a truly predictive model. Several thermodynamic and kinetic submodels are integrated to achieve additional information compared to models already presented in the literature. The presented model is capable of reproducing the measured concentration profiles of chemical species and molecular weight distribution of hemicellulose polymers as a function of the process conditions. The output concentration data are further utilized to calculate the dissolved species and pH in the two liquid phases. Eventually, it could be utilized in optimizing a batch hot water extraction process to maximize either the yield of long-chain hemicelluloses or their monomeric sugars.

AB - This paper presents a model developed for hot water extraction of birch wood meal. Besides solids, two liquid phases are assumed in the system: liquid bound to a wood fiber wall and the other remaining external liquid. True chemical species, their reactions, and diffusion between the liquid phases are considered in the model. The breakdown of hemicellulose into short-chain polymers and monomeric sugar units is modeled by applying an accurate and computationally efficient population balance approach. State-of-the-art correlations and equations are used, thus aiming for a truly predictive model. Several thermodynamic and kinetic submodels are integrated to achieve additional information compared to models already presented in the literature. The presented model is capable of reproducing the measured concentration profiles of chemical species and molecular weight distribution of hemicellulose polymers as a function of the process conditions. The output concentration data are further utilized to calculate the dissolved species and pH in the two liquid phases. Eventually, it could be utilized in optimizing a batch hot water extraction process to maximize either the yield of long-chain hemicelluloses or their monomeric sugars.

UR - http://www.scopus.com/inward/record.url?scp=84993171769&partnerID=8YFLogxK

U2 - 10.1021/acs.iecr.6b02987

DO - 10.1021/acs.iecr.6b02987

M3 - Article

VL - 55

SP - 11062

EP - 11073

JO - Industrial and Engineering Chemistry Research

JF - Industrial and Engineering Chemistry Research

SN - 0888-5885

IS - 42

ER -

ID: 9265872