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A novel surfactant-assisted ultrasound pretreatment of sugarcane tops for improved enzymatic release of sugars

pmid: 23069605
The aim of this study was to develop a novel surfactant-assisted ultrasound pretreatment of sugarcane tops as well as to optimize the effect of various operational parameters on pretreatment and hydrolysis. A novel surfactant-assisted ultrasound pretreatment was developed which could effectively remove hemicelluloses and lignin and improve the reducing sugar yield from sugarcane tops. Operational parameters for pretreatment and hydrolysis were studied and optimized. Under optimal hydrolysis conditions, 0.661 g of reducing sugar was produced per gram of pretreated biomass. The structural changes of native and pretreated biomass were investigated by Scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared analysis (FTIR). The results indicate that surfactant-assisted ultrasound pretreated sugarcane tops can be used as a potential feed stock for bioethanol production.
Hydrolysis, Carbohydrates, Alkalies, Saccharum, Surface-Active Agents, Cellulase, Ultrasonics, Biomass, Particle Size, Crystallization, Biotechnology
Hydrolysis, Carbohydrates, Alkalies, Saccharum, Surface-Active Agents, Cellulase, Ultrasonics, Biomass, Particle Size, Crystallization, Biotechnology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).88 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
