Desulphurisation of liquid fuel using adsorption onto bio-based activated carbon modified with chitosan and Fe ions

吸附 二苯并噻吩 活性炭 朗缪尔吸附模型 辛烷值 化学 壳聚糖 动力学 响应面法 化学工程 硫黄 材料科学 核化学 有机化学 色谱法 工程类 物理 量子力学
作者
Fatemeh Boostani,Hakimeh Sharififard,Asghar Lashanizadegan,Parviz Darvishi
出处
期刊:International Journal of Environmental Analytical Chemistry [Informa]
卷期号:104 (13): 2956-2979 被引量:3
标识
DOI:10.1080/03067319.2022.2076222
摘要

Removal of sulphur and sulphur compounds from liquid fuel is one of the most critical issues in the environment and energy field due to its widespread use and destructive effects. The aim of this research is the use of a bio-based activated carbon modified with chitosan and Fe ions (AC/Fe/CH) to remove Dibenzothiophene (DBT) from iso-octane as fuel. The properties of this adsorbent were identified using BET, EDX-SEM, and FTIR analyses. The effect of operating parameters including initial concentration (C), adsorbent amount (m), and stirring speed (U) was optimised to reach maximum removal of DBT from iso-octane fuel using RSM methodology. The maximum removal percentage of DBT using AC/Fe/CH was 98.229%, and the optimal conditions were 0.05 g /25 mL of adsorbent, DBT concentration of 149 mg L−1, and stirring speed of 50 rpm. The improvement of adsorption ability is attributed to the modification and creation of iron cations and N+ ions onto the activated carbon surface. DBT is attracted by Fe cations adsorption centre via π-complexation and S-Fe bond and attracted by N+ adsorption centre via electrostatic forces. By analysing the kinetics data with various kinetics models, the result indicated that the pseudo-second-order kinetics model is consistent with the experimental data. The Langmuir model has higher compatibility than other models with the equilibrium data. The Modified activated carbon with chitosan and Fe has the maximum adsorption ability equal to 270 mg g−1. According to the obtained data, the prepared adsorbent (AC/Fe/CH) has the appropriate ability to separate DBT from liquid fuel.
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
zwzw1314完成签到,获得积分10
刚刚
001发布了新的文献求助10
1秒前
FFFFFFF应助平淡南霜采纳,获得10
1秒前
Mottri发布了新的文献求助10
1秒前
2秒前
yangyang发布了新的文献求助10
2秒前
冷酷尔琴完成签到,获得积分10
2秒前
科研通AI5应助aaaaaa采纳,获得10
2秒前
顾矜应助清脆的台灯采纳,获得10
3秒前
单薄凌蝶发布了新的文献求助50
3秒前
3秒前
羊羊爱吃羊羊完成签到 ,获得积分10
4秒前
4秒前
Akim应助BOSSJING采纳,获得10
4秒前
纸上彩虹发布了新的文献求助10
5秒前
volzzz完成签到,获得积分10
5秒前
5秒前
大胆砖头完成签到 ,获得积分10
5秒前
小蘑菇应助强健的月饼采纳,获得10
6秒前
6秒前
神揽星辰入梦完成签到,获得积分10
6秒前
吾日三省吾身完成签到 ,获得积分10
6秒前
自爱悠然完成签到,获得积分10
7秒前
7秒前
8秒前
呆瓜完成签到,获得积分10
9秒前
布丁完成签到,获得积分10
9秒前
朴素的士晋完成签到,获得积分10
9秒前
燕尔蓝发布了新的文献求助10
9秒前
我是王浩腾我是健身王完成签到,获得积分10
10秒前
10秒前
杰克李李发布了新的文献求助10
10秒前
wjs0406发布了新的文献求助10
10秒前
老李完成签到,获得积分10
10秒前
落寞寒荷完成签到,获得积分10
11秒前
fly the bike应助莉莉采纳,获得10
11秒前
拟拟发布了新的文献求助10
12秒前
Bo发布了新的文献求助10
12秒前
LCC完成签到 ,获得积分10
12秒前
南乔完成签到,获得积分10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740