温和条件下乙二醇苯醚高效分离回收甘蔗渣组分
Efficient fractionation of sugarcane bagasse with phenoxyethanol under mild condition
张祎琪 1谭雪松 2李吾环 1张权 3苗长林 2庄新姝1
作者信息
- 1. 中国科学技术大学能源科学与技术学院,安徽 合肥 230026;中国科学院广州能源研究所,广东 广州 510640
- 2. 中国科学院广州能源研究所,广东 广州 510640
- 3. 中国科学院广州能源研究所,广东 广州 510640;安徽工业大学化学与化工学院,安徽 马鞍山 243002
- 折叠
摘要
使用酸性乙二醇苯醚(EPH)体系对甘蔗渣(SCB)进行预处理,在最优条件下(110℃,0.05 mol/L H2SO4,60 min)实现了90.47%的纤维素保留率,去除了90.33%的木质素和76.70%的半纤维素.回收得到的富含纤维素的残渣最高酶解率为89.71%,是未经处理的甘蔗渣的酶解率(15.93%)的近6倍.用异丙醚从预处理液中回收了74.29%的木质素(纯度为93.53%).使用SEM、XRD、FTIR对预处理后残渣及原料的组成及结构进行表征,发现甘蔗渣的形貌结构被破坏,结晶度提高,因而酶解率大幅度提高.通过2D HSQC表征发现在预处理过程中乙二醇苯醚和木质素的醚化反应抑制了木质素的缩合.本研究建立了酸性乙二醇苯醚预处理体系,实现了甘蔗渣组分的高效分离,并高效回收高纯木质素与可发酵糖,可为生物质高值化利用提供参考.
Abstract
In this study,efficient fractionation of sugarcane bagasse(SCB)with acidified phenoxyethanol(EPH)was investigated.High lignin(90.33%)and hemicellulose(76.70%)removal efficiency with 90.47%cellulose retention was achieved by using EPH at 110℃,60 min,with 0.05 mol/L acid loading for SCB.The enzymatic digestibility of residue reached 89.71%,which was nearly 6 times that of the untreated sugarcane bagasse(15.93%).74.29%lignin of 93.53%purification was recovered from the pretreatment solution using isopropyl ether.SEM,XRD,and FTIR were used to characterize the composition and structure of the pretreated residue and raw materials.It was found that the morphological structure of bagasse was destroyed,the crystallinity was improved,and the enzymatic digestibility was greatly improved.Additionally,the etherification of phenoxyethanol and lignin to suppress the condensation of lignin was disclosed by 2D HSQC characterization.Overall,EPH pretreatment achieved efficient fractionation and recovery of high purity lignin and fermentable sugars under mild condition from sugarcane bagasse.This study can provide reference for the high-value utilization of lignocellulosic biomass.
关键词
生物质/生物分离/预处理/酶解/木质素/生物能源Key words
biomass/bioseparation/pretreatment/enzymatic hydrolysis/lignin/bioenergy引用本文复制引用
基金项目
国家重点研发计划国际科技创新合作项目(2021YFE0114400)
国家自然科学基金项目(51976221)
广东省基础与应用基础研究基金项目(2022A1515012078)
出版年
2024
国家科技期刊平台
NSTL
万方数据