ANALYSIS OF ULTRASTRUCTURE PROPERTIES OF CELL WALLS IN DILUTE ACID PRETREATED BIOMASS BY CONFOCAL RAMAN MICROSCOPY
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL ENGINEERING
Author(s): JAE-WON LEE , SO-YEON JEONG
Abstract: The effect of dilute acid pretreatment on the hydrolysis of lignocellulosic biomass was investigated, based on the chemical and ultrastructure properties of cell walls. Oxalic acid and sulfuric acid used as chemical catalyst. Confocal Raman microscopy was used to gain improved understanding of how acid pretreatment disrupt lignocelluloses cell walls. Total fermentable sugar (glucose and xylose) in the oxalic acid hydrolysate was as high as 26.18 g/L, compared to that of sulfuric acid hydrolysate. The chemical composition of the pretreated biomass differed slightly, depending on the acid catalyst. Considerable xylan was degraded, during oxalic acid pretreatment. The glucan and lignin contents were relatively increased in the oxalic acid pretreatment. Among two acid pretreatment, oxalic acid was more effective on enzymatic hydrolysis, with 29.46 g/l of total fermentable sugar after 96 h. Optical microscopy showed the dilute acid pretreatment significantly changed the cell wall structure,
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-004-0-94
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- Downloads: 0
TRACKING INFORMATION ON FUTURE INTERESTS/EVENTS USING WEB MINING, PREDICTIVE ANALYSIS AND SEMANTIC WEB
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL ENGINEERING
Author(s): ANKIT SHARMA
Abstract: This paper explains the implementation of a mobile application solution on iOS to track future events and interests relevant to brands, weather, entertainment, leisure, persons followed, disaster, etc. and throw fragmented information threads to users using predictive analysis, push notifications, concepts of web mining and semantic web. Public APIs and XML, Json feeds have been used to gather data and push technology transfers processed information threads matched with objects of interests based on the user's predictive analysis. The utility of such a system is to rush the tracked information to the individuals in real time for better activity scheduling and informed decision making. The user's social graph, online activity, mobile data, time of day, location, historical search patterns are selectively accessed for insights into user's behavioral patterns to estimate user's future interests hierarchy. The solution can also be used to generate useful analytics for enterprises.
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-004-0-95
- Views: 0
- Downloads: 0