| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 7081272 | 1459996 | 2013 | 29 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												Comparison of different mechanical refining technologies on the enzymatic digestibility of low severity acid pretreated corn stover
												
											ترجمه فارسی عنوان
													مقایسه تکنولوژی های مختلف پالایش مکانیکی بر قابلیت هضم آنزیمی از ذرت پیش خوراکی کم شنوائی 
													
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													مهندسی و علوم پایه
													مهندسی شیمی
													تکنولوژی و شیمی فرآیندی 
												
											چکیده انگلیسی
												The effect of mechanical refining on the enzymatic digestibility of pretreated corn stover (PCS) was investigated. Low severity, dilute sulfuric acid PCS was subjected to mechanical refining using a bench-scale food processor blender, a PFI mill, a 12-inch laboratory disk refiner, and a 25 mm co-rotating twin-screw extruder. Glucose yields from enzymatic hydrolysis were improved by 10-15% after blending and disk refining, while PFI refining and twin-screw extrusion showed a glucose yield improvement of 16-20%. A pilot scale refining test using a Szego mill was performed and showed approximately 10% improvements in biomass digestibility. This suggests the possibility to scale up a mechanical refining technique to obtain similar enzymatic digestibility glucose yield enhancement as achieved by PFI milling and extrusion technologies. Proposed mechanisms of each mechanical refining technology are presented and reasons for improvements in biomass digestibility are discussed in this paper.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Bioresource Technology - Volume 147, November 2013, Pages 401-408
											Journal: Bioresource Technology - Volume 147, November 2013, Pages 401-408
نویسندگان
												Xiaowen Chen, Erik Kuhn, Wei Wang, Sunkyu Park, Keith Flanegan, Olev Trass, Lisette Tenlep, Ling Tao, Melvin Tucker, 
											