Production of Glucose from PEG-Based Pretreated Green Coconut Fiber and Synthesis of Lignin Nanoparticles for Stabilization of O/W Pickering Emulsion

利用聚乙二醇预处理绿椰子纤维生产葡萄糖及合成木质素纳米粒子以稳定油水Pickering乳液

阅读:1

Abstract

Solvolysis processes or organosolv pretreatments alone have been widely used as a way to obtain glycolated lignins, a type of lignin with thermoplastic properties. Despite this interest, there are still many gaps regarding the byproducts generated and other potential destinations for glycolated lignins, which must be addressed for the process to reach a commercial level. In the present study, the authors investigated the enzymatic digestion of green coconut fiber pretreated with polyethylene glycol (PEG) 400 and sulfuric acid, as well as the performance of glycolated lignin as a stabilizer of o/w Pickering emulsions, a notable application for lignins. The PEG-based organosolv pretreatment promoted extensive delignification (reduction of Klason lignin from 35.7 to 29.7%) and enabled greater cellulose enrichment than pretreatment with sulfuric acid alone (33.4 vs 44.8%). In terms of enzymatic digestibility, glucose release from the organosolv-pretreated sample was 4.3- and 2.8-fold higher than that from the untreated and acid-pretreated samples, respectively. Glycolation in green coconut fiber lignin was confirmed by FTIR and thermogravimetry analyses. Glycolated lignin nanoparticles were successfully prepared and exhibited a rounded shape and size in the range of 30-50 nm. Regardless of the o/w system (including toluene/water, soybean oil/water, and n-octanol/water), glycolated lignin nanoparticles led to higher emulsification index (up to ∼80% after 14 days) and better stability than lignin nanoparticles isolated from acid pretreatment. This study confirms the versatility of PEG pretreatment and demonstrates that it can serve as the basis for an alternative biorefinery for lignocellulosic biomass.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。