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Welcome to BioEng

Welcome to the homepage of Center for BioProcess Engineering (BioEng). BioEng is a research group at Department of Chemical and Biochemical Engineering at Technical University of Denmark.

 

Our research includes use of enzymes for synthesis of a range of functional and non-functional chemicals, as well as particular emphasis on upgrading of plant material residues. Our focus is on quantification and modeling, on-line monitoring, scale-up, process design and integration of process technology. On this homepage you find information about the group and the work carried out here, publications, courses and vacancies.

  


Where to find us:

Center for Bioprocess Engineering

Department of Chemical and Biochemical Engineering

Technical University of Denmark

Søltofts Plads

DTU - Building 229

DK- 2800 Kgs. Lyngby

Phone +45 45 25 28 00

Fax +45 45 88 22 58

http://www.kt.dtu.dk

 

Head of Center: Professor Anne S. Meyer

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New BioEng research: 

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

    

 Andreas Baum, Jane Agger, Anne S. Meyer, Max Egebo, Jørn Dalgaard Mikkelsen

 

 

 

 Abstract: 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.

 
 

 

 /upload/_kt/andreas paper.jpg

 

Fig: NIR spectra. Information from the visible range has been cut off and each spectrum has been MSC pretreated (black). Standard spectra for arabinoxylan soluble (red), arabinoxylan insoluble (blue), cellulose (green) and xylan (cyan) have been included with an offset for comparison. Various combination, first overtone and second overtone vibration bands have been highlighted for chemical interpretation.

Read more: http://dx.doi.org.globalproxy.cvt.dk/10.1016/j.nbt.2011.11.010

 

Danmarks Tekniske Universitet, Søltofts PladsBygning 229DK-2800 Kgs. LyngbyTlf. (+45) 4525 2800