Rapid near infrared spectroscopy for prediction of enzymatic hydrolysis of corn bran after various pretreatments

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Rapid near infrared spectroscopy for prediction of enzymatic hydrolysis of corn bran after various pretreatments. / Baum, Andreas; Agger, Jane; Meyer, Anne S.; Egebo, Max; Mikkelsen, Jørn Dalgaard.

In: New Biotechnology, Vol. 29, No. 3, 2012, p. 293-301.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Author

Baum, Andreas; Agger, Jane; Meyer, Anne S.; Egebo, Max; Mikkelsen, Jørn Dalgaard / Rapid near infrared spectroscopy for prediction of enzymatic hydrolysis of corn bran after various pretreatments.

In: New Biotechnology, Vol. 29, No. 3, 2012, p. 293-301.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Bibtex

@article{e49894a2f10c455caef16debf0f6ee2e,
title = "Rapid near infrared spectroscopy for prediction of enzymatic hydrolysis of corn bran after various pretreatments",
publisher = "Elsevier BV",
author = "Andreas Baum and Jane Agger and Meyer, {Anne S.} and Max Egebo and Mikkelsen, {Jørn Dalgaard}",
year = "2012",
doi = "10.1016/j.nbt.2011.11.010",
volume = "29",
number = "3",
pages = "293--301",
journal = "New Biotechnology",
issn = "1871-6784",

}

RIS

TY - JOUR

T1 - Rapid near infrared spectroscopy for prediction of enzymatic hydrolysis of corn bran after various pretreatments

A1 - Baum,Andreas

A1 - Agger,Jane

A1 - Meyer,Anne S.

A1 - Egebo,Max

A1 - Mikkelsen,Jørn Dalgaard

AU - Baum,Andreas

AU - Agger,Jane

AU - Meyer,Anne S.

AU - Egebo,Max

AU - Mikkelsen,Jørn Dalgaard

PB - Elsevier BV

PY - 2012

Y1 - 2012

N2 - Efficient generation of a fermentable hydrolysate is a primary requirement in the utilization of fibrous plant biomass as feedstocks in bioethanol processes. The first biomass conversion step usually involves a hydrothermal pretreatment before enzymatic hydrolysis. The purpose of the pretreatment step is to increase the responsivity of the substrate to enzymatic attack and the type of pretreatment affects the enzymatic conversion efficiency. Destarched corn bran is a fibrous, heteroxylan-rich side-stream from the starch industry which may be used as a feedstock for bioethanol production or as a source of xylose for other purposes. In the present study we demonstrate the use of diffuse reflectance near infrared spectroscopy (NIR) as a rapid and non-destructive analytical tool for evaluation of pretreatment effects on destarched corn bran. NIR was used to achieve classification between 43 differently pretreated corn bran samples using principal component analysis (PCA) and hierarchal clustering algorithms. Quantification of the enzymatically released monosaccharides by HPLC was used to design multivariate calibration models (biPLS) on the NIR spectra. The models could predict the enzymatic release of different levels of arabinose, xylose and glucose from all the differently pretreated destarched corn bran samples. The present study also demonstrates a generic, non-destructive solution to determine the enzymatic monosaccharide release from polymers in biomass side-streams, thereby potentially replacing the cumbersome HPLC analysis.

AB - Efficient generation of a fermentable hydrolysate is a primary requirement in the utilization of fibrous plant biomass as feedstocks in bioethanol processes. The first biomass conversion step usually involves a hydrothermal pretreatment before enzymatic hydrolysis. The purpose of the pretreatment step is to increase the responsivity of the substrate to enzymatic attack and the type of pretreatment affects the enzymatic conversion efficiency. Destarched corn bran is a fibrous, heteroxylan-rich side-stream from the starch industry which may be used as a feedstock for bioethanol production or as a source of xylose for other purposes. In the present study we demonstrate the use of diffuse reflectance near infrared spectroscopy (NIR) as a rapid and non-destructive analytical tool for evaluation of pretreatment effects on destarched corn bran. NIR was used to achieve classification between 43 differently pretreated corn bran samples using principal component analysis (PCA) and hierarchal clustering algorithms. Quantification of the enzymatically released monosaccharides by HPLC was used to design multivariate calibration models (biPLS) on the NIR spectra. The models could predict the enzymatic release of different levels of arabinose, xylose and glucose from all the differently pretreated destarched corn bran samples. The present study also demonstrates a generic, non-destructive solution to determine the enzymatic monosaccharide release from polymers in biomass side-streams, thereby potentially replacing the cumbersome HPLC analysis.

U2 - 10.1016/j.nbt.2011.11.010

DO - 10.1016/j.nbt.2011.11.010

JO - New Biotechnology

JF - New Biotechnology

SN - 1871-6784

IS - 3

VL - 29

SP - 293

EP - 301

ER -