Upgrading Furfurals to Drop-in Biofuels: An Overview

糠醛 生物燃料 氧合物 柴油 生物量(生态学) 化学 原材料 废物管理 制浆造纸工业 工艺工程 环境科学 有机化学 催化作用 工程类 海洋学 地质学
作者
Ashish Bohre,Saikat Dutta,Basudeb Saha,Mahdi M. Abu‐Omar
出处
期刊:ACS Sustainable Chemistry & Engineering [American Chemical Society]
卷期号:3 (7): 1263-1277 被引量:304
标识
DOI:10.1021/acssuschemeng.5b00271
摘要

Biomass is a promising feedstock for the next generation drop-in liquid fuels and renewable chemicals, and hence the development of economically viable technologies for the production of commodity and specialty chemicals from sustainable biomass have received significant attention in recent years. Although biomass transformation into drop-in biofuels involves multiple processing steps in which biomass is first depolymerized and converted to furfurals (5-hydroxymethylfurfural, furfural), catalytic upgrading of furfurals is the most important step in achieving end products of the desired fuel properties. Several research papers have been published in the past decade reporting homogeneous and heterogeneous catalytic processes for upgrading furfurals to relevant drop-in fuel candidates such as, 2,5-dimethylfuran (DMF), 2-methylfuran (2-MF), 5-ethoxymethylfurfural (EMF), γ-valerolactone (GVL), ethyl levulinate and long chain hydrocarbon alkanes. Although process technologies for the production and upgrading of some of these fuel compounds have been reviewed, a concise overview on production methodologies for all relevant furan based fuel compounds, including long chain hydrocarbon alkanes, from furfurals is worth publishing for further advancement. This perspective article is aimed at presenting an up to date analysis of the reported catalytic technologies for upgrading furfurals into long chain hydrocarbons with special emphasis on the condensation reactions for producing high carbon chain precursors and catalytic systems for their subsequent deoxygenation to achieve high yield and selectivity in fuel grade hydrocarbons. The current state-of-the-art on upgrading furfurals to DMF, 2-MF and EMF are also analyzed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Enigma_GEB应助细心的山槐采纳,获得10
刚刚
刚刚
刚刚
何永灿发布了新的文献求助10
1秒前
2秒前
Jcy完成签到,获得积分10
2秒前
zxy完成签到,获得积分10
2秒前
3秒前
3秒前
圣诞节发布了新的文献求助10
4秒前
默默依凝发布了新的文献求助10
4秒前
4秒前
研友_VZG7GZ应助杜丽芳采纳,获得10
4秒前
大气时光发布了新的文献求助10
4秒前
克里斯蒂娜完成签到,获得积分10
5秒前
6秒前
7秒前
WWW发布了新的文献求助10
8秒前
hippoo完成签到,获得积分10
8秒前
向阳而生发布了新的文献求助10
8秒前
9秒前
9秒前
香蕉觅云应助背后思卉采纳,获得20
9秒前
9秒前
Owen应助jobeco采纳,获得10
10秒前
幸运小yu发布了新的文献求助10
10秒前
KON完成签到,获得积分10
10秒前
zxy发布了新的文献求助10
10秒前
MchemG给XRD_CFD的求助进行了留言
11秒前
北斗星星完成签到,获得积分0
11秒前
11秒前
11秒前
研友_89KGOn发布了新的文献求助10
11秒前
11秒前
科研王子完成签到,获得积分10
11秒前
可研通完成签到,获得积分10
12秒前
mask完成签到,获得积分10
12秒前
Lucy发布了新的文献求助30
12秒前
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7768165
求助须知:如何正确求助?哪些是违规求助? 9311532
关于积分的说明 20324156
捐赠科研通 7353204
什么是DOI,文献DOI怎么找? 3315619
关于科研通互助平台的介绍 2464810
邀请新用户注册赠送积分活动 2330307