Enzymatic pretreatment of low‐grade oils for biodiesel production

生物柴油 生物柴油生产 化学 生产(经济) 制浆造纸工业 食品科学 色谱法 生物化学 工程类 催化作用 经济 宏观经济学
作者
Mathias Nordblad,Anders K. Pedersen,Anders Rancke‐Madsen,John M. Woodley
出处
期刊:Biotechnology and Bioengineering [Wiley]
卷期号:113 (4): 754-760 被引量:22
标识
DOI:10.1002/bit.25846
摘要

The alkaline process for making biodiesel (fatty acidmethyl esters, or FAME) is highly efficient at the transesterification of glycerides. However, its performance is poor when it comes to using oil that contain significant amounts of free fatty acids (FFA).The traditional approach to such feed stocks is to employ acid catalysis, which is slow and requires a large excess of methanol, orto evaporate FFA and convert that in a separate process. An attractive option would be to convert the FFA in oil feedstocks to FAME, before introducing it into the alkaline process. The high selectivity of enzyme catalysis makes it a suitable basis for such a pretreatment process. In this work, we present a characterization of the pretreatment of high-FFA rapeseed oil using immobilized Candida antarctica lipase B (Novozym 435), focused on the impact of initial FFA and methanol concentration. Based on experimental results, we have identified limitations for the process in terms of FFA concentration in the feedstock and make suggestions for process operation. It was found that, using 5% catalyst and 4% methanol at 35C, the FFA concentration could be reduced to 0.5% within an hour for feedstock containing up to 15% FFA.Further, the reaction was observed to be under kinetic control, in that the biocatalyst converts FFA (and FAME) at a much higher rate than glyceride substrates. There is thus, both a minimum and a maximum reaction time for the process to achieve the desired concentration of FFA. Finally, an assessment of process stability in a continuous packed bed system indicates that as much as 15m3 oil could potentially be pretreated by 1 kg of biocatalyst at the given process conditions.
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
充电宝应助开心的梦桃采纳,获得10
刚刚
dongyu发布了新的文献求助10
1秒前
你嵙这个期刊没买应助dz采纳,获得30
1秒前
JamesPei应助kknd采纳,获得10
1秒前
LooQueSiento完成签到,获得积分10
2秒前
怕孤独的仙人掌完成签到 ,获得积分10
2秒前
2秒前
chen完成签到,获得积分10
2秒前
2秒前
3秒前
3秒前
XING完成签到,获得积分10
4秒前
wk完成签到,获得积分10
4秒前
5秒前
嘻嘻乙烯完成签到,获得积分10
5秒前
6秒前
八爷啦啦啦完成签到,获得积分10
6秒前
6秒前
Dr完成签到,获得积分20
6秒前
英姑应助cocopan采纳,获得10
6秒前
7秒前
Victooorrr发布了新的文献求助50
8秒前
开心的梦桃完成签到,获得积分20
8秒前
李莫愁发布了新的文献求助10
8秒前
9秒前
桐桐应助czhyxisbus采纳,获得10
9秒前
zqt发布了新的文献求助10
9秒前
小马甲应助海绵宝宝采纳,获得10
9秒前
缪盲目发布了新的文献求助10
10秒前
乐乐应助大胆的向松采纳,获得10
10秒前
小晴子完成签到 ,获得积分10
11秒前
shenkekeshen应助碧蓝的往事采纳,获得10
11秒前
王卓远发布了新的文献求助10
11秒前
za完成签到,获得积分10
11秒前
artemise发布了新的文献求助50
12秒前
李其发布了新的文献求助10
12秒前
迷路的灵波完成签到,获得积分10
12秒前
12秒前
时尚的紫蓝完成签到,获得积分10
13秒前
bcj发布了新的文献求助10
13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 7768358
求助须知:如何正确求助?哪些是违规求助? 9311607
关于积分的说明 20324623
捐赠科研通 7353348
什么是DOI,文献DOI怎么找? 3315682
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 2330312