Yield optimization and rational function modelling of enzymatic hydrolysis of wheat straw pretreated by NaOH-delignification, autohydrolysis and their combination. Issue 3 (9th January 2015)

• Record Type: Journal Article
• Authors: Pihlajaniemi, Ville; Sipponen, Mika Henrikki; Pastinen, Ossi; Lehtomäki, Ilkka; Laakso, Simo
• Is Part Of: Green chemistry. Volume 17:Issue 3(2015)
• Page Start: 1683
• Page End: 1691
• Publication Date: 2015-01-09
• Subjects: Environmental chemistry -- Industrial applications -- Periodicals; Environmental management -- Periodicals; 660
• DOI: 10.1039/c4gc02218a
• Languages: English
• ISSNs: 1463-9262

Abstract

Abstract : The sugar yield of saccharification processes must be optimized against productivity, for which rational function modelling provides a smooth solution. Abstract : A thorough efficacy assessment was performed on three wheat straw saccharification processes including NaOH-delignification, autohydrolysis and their combination, with subsequent enzymatic hydrolysis. Instead of optimizing the process for maximal sugar yield from straw, a novel perspective is provided, allowing optimization of the overall yield against enzyme consumption and reaction volume. At total sugar yields above 60%, NaOH-delignification was the most efficient in terms of enzymatic and volumetric productivity, whereas at lower yields, autohydrolysis showed a comparable enzymatic and a higher volumetric productivity. The double treatment led to improved hydrolysability compared to autohydrolysis, but was the least productive due to reduced solid yields. A threshold in the delignification efficiency between 3% and 6% NaOH-loadings per straw DM resulted from the depletion of alkalinity by the released organic acids. A novel rational function model was developed for the total sugar yield, which is generally superior for describing asymptotic behaviour compared to conventional polynomial models in response surface modelling.