J
John F. Kadla
Researcher at University of British Columbia
Publications - 148
Citations - 10239
John F. Kadla is an academic researcher from University of British Columbia. The author has contributed to research in topics: Lignin & Cellulose. The author has an hindex of 45, co-authored 148 publications receiving 9266 citations. Previous affiliations of John F. Kadla include University of North Carolina at Chapel Hill & North Carolina State University.
Papers
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Lignin-based carbon fibers for composite fiber applications
TL;DR: In this paper, a fusible lignin with excellent spinnability to form a fine filament was produced with a thermal pretreatment under vacuum, but at PEO levels greater than 5%, the blends could not be stabilized without the individual fibers fusing together.
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Inhibition of cellulase, xylanase and β-glucosidase activities by softwood lignin preparations
Alex Berlin,Mikhail Yu. Balakshin,Neil R. Gilkes,John F. Kadla,Vera Maximenko,Satoshi Kubo,John N. Saddler +6 more
TL;DR: This study examines the inhibition of seven cellulase preparations, three xylanase preparations and a beta-glucosidase preparation by two purified, particulate lignin preparations derived from softwood using an organosolv pretreatment process followed by enzymatic hydrolysis.
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Organosolv Ethanol Lignin from Hybrid Poplar as a Radical Scavenger: Relationship between Lignin Structure, Extraction Conditions, and Antioxidant Activity
TL;DR: Regression models were developed to enable the quantitative prediction of lignin characteristics and antioxidant activity based on the processing conditions and indicated that the lignins with more phenolic hydroxyl groups, less aliphatic hydroxym groups, low molecular weight, and narrow polydispersity showed high antioxidant activity.
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Bioconversion of hybrid poplar to ethanol and co-products using an organosolv fractionation process: Optimization of process yields
Xuejun Pan,Neil R. Gilkes,John F. Kadla,Kendall Pye,Shiro Saka,David J. Gregg,Katsunobu Ehara,Dan Xie,Dexter Lam,John N. Saddler +9 more
TL;DR: The influence of four independent process variables (temperature, time, catalyst dose, and ethanol concentration) on product yields was analyzed over a broad range using a small composite design and response surface methodology and generated regression models that describe process responses for any combination of the four variables.
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A Comprehensive Approach for Quantitative Lignin Characterization by NMR Spectroscopy
TL;DR: Comparison of the calculated results with known databases on spruce MWL structure shows that the suggested approach is rather informative and comparable with the information obtained from the combination of various wet chemistry methods.