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Xiujuan Li

Researcher at Nanjing Tech University

Publications -  17
Citations -  167

Xiujuan Li is an academic researcher from Nanjing Tech University. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 5, co-authored 5 publications receiving 92 citations. Previous affiliations of Xiujuan Li include Nanjing University of Science and Technology & Nanjing Normal University.

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Integrated bioethanol production from mixtures of corn and corn stover

TL;DR: This work demonstrated effective conversion of CS and corn together to ethanol using either dilute alkali or dilute acid pretreatment for effective conversion.
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In-situ corn fiber conversion improves ethanol yield in corn dry-mill process

TL;DR: In this article, the authors investigated the effect of corn cellulose conversion on the performance of dry-mill process Solid loading and pH were optimized first for better design of cellulose conversions in the process.
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In situ pretreatment during distillation improves corn fiber conversion and ethanol yield in the dry mill process

TL;DR: In this paper, an in situ acid pretreatment method was developed during distillation and was integrated into the dry-mill process, where the pretreated stillage was either recycled to the liquefaction step or hydrolyzed using cellulase followed by C6/C5 sugar co-fermentation.
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Ethanol production from mixtures of Distiller’s Dried Grains with Solubles (DDGS) and corn

TL;DR: In this article, dilute alkali, liquid hot water (LHW) and dilute acid (DA) were used to pre-treat DDGS for simultaneous saccharification and fermentation.
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Integrated biorefinery approaches for the industrialization of cellulosic ethanol fuel.

TL;DR: In this paper , four promising routes were summarized to assemble the new industrial plants for cellulose-based fuels and chemicals, including integration of cellulase production systems into current cellulosic ethanol processes, combination of processes and facilities and application of enzyme-free saccharification processes and computational approaches to increase the bioethanol yield and optimize the integration process.