Adsorption of ammonia nitrogen in low temperature domestic wastewater by modification bentonite

吸附 膨润土 化学 朗缪尔吸附模型 Zeta电位 傅里叶变换红外光谱 废水 丹宁 朗缪尔 核化学 无机化学 化学工程 有机化学 环境工程 食品科学 纳米颗粒 工程类
作者
Houming Cheng,Qi Zhu,Zipeng Xing
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:233: 720-730 被引量:122
标识
DOI:10.1016/j.jclepro.2019.06.079
摘要

Bentonite was used as adsorbent, which was modified by aluminum cross-linking and tannin double modification (Al-Tan-Bent), and the adsorbent has excellent removal performance for ammonia nitrogen (NH4+-N) from low temperature wastewater. In the experiments, the effects of adsorbent dosage, pH, contact time, and coexisting ions were analyzed in detail. The kinetic models were fitted by experimental data, and the results showed that the adsorption process of ammonia nitrogen fitted well with the pseudo-second order kinetic model. Langmuir adsorption isotherm has higher correlation coefficient (R2 = 0.9992), the saturated adsorption capacity was 5.85 mg/g at low temperature. Electrostatic adsorption is the main mechanism for removing ammonia (NH4+), and the whole reaction was spontaneous and exothermic. Different preparation conditions of adsorbent were also analyzed: tannin concentration, temperature, pH and reaction time. The best preparation conditions for ammonia nitrogen removal were: 2 g/L of the modified concentration, pH = 7.5, modification time at 1 h and room temperature (25 °C) respectively. The adsorbents were characterized by Scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET) surface area and Zeta potential. The presence of tannin on bentonite and the effects of different modified pH were confirmed. The sedimentation of the sample was significantly improved.
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
zhang完成签到 ,获得积分10
1秒前
YIFGU完成签到 ,获得积分10
2秒前
2秒前
money完成签到 ,获得积分10
2秒前
隐形曼青应助酸菜采纳,获得10
2秒前
Diaory2023完成签到 ,获得积分0
2秒前
JLIN_发布了新的文献求助10
4秒前
123完成签到,获得积分10
4秒前
闲人不贤完成签到,获得积分10
4秒前
ddd发布了新的文献求助10
7秒前
蓝橙完成签到,获得积分10
7秒前
逆流的鱼完成签到 ,获得积分10
7秒前
Rgly完成签到 ,获得积分10
7秒前
10秒前
能干的山灵完成签到 ,获得积分10
11秒前
陶醉的海冬完成签到 ,获得积分10
11秒前
英俊的铭应助可耐的寒松采纳,获得10
12秒前
JLIN_完成签到,获得积分10
12秒前
Tonald Yang完成签到,获得积分20
13秒前
ddd完成签到,获得积分10
13秒前
环走鱼尾纹完成签到 ,获得积分10
14秒前
小城故事和冰雨完成签到,获得积分10
16秒前
自觉石头完成签到 ,获得积分10
17秒前
Tonald Yang发布了新的文献求助10
17秒前
yy爱科研完成签到,获得积分10
18秒前
葱油饼完成签到 ,获得积分10
20秒前
豆笑笑完成签到,获得积分10
22秒前
短巷完成签到 ,获得积分10
23秒前
等我吃胖完成签到,获得积分10
26秒前
逍遥自在完成签到,获得积分10
26秒前
呵呵喊我完成签到,获得积分10
27秒前
feiyang完成签到 ,获得积分10
29秒前
离子电池完成签到,获得积分10
31秒前
wang完成签到,获得积分10
31秒前
Hofury完成签到 ,获得积分10
31秒前
奋斗的蜗牛完成签到 ,获得积分10
32秒前
而当下的完成签到,获得积分10
33秒前
Ryan完成签到 ,获得积分10
33秒前
34秒前
34秒前
高分求助中
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
A Combined Chronic Toxicity and Carcinogenicity Study of ε-Polylysine in the Rat 400
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
The Power of High-Throughput Experimentation: General Topics and Enabling Technologies for Synthesis and Catalysis (Volume 1) 200
NK Cell Receptors: Advances in Cell Biology and Immunology by Colton Williams (Editor) 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3827391
求助须知:如何正确求助?哪些是违规求助? 3369719
关于积分的说明 10456949
捐赠科研通 3089369
什么是DOI,文献DOI怎么找? 1699854
邀请新用户注册赠送积分活动 817542
科研通“疑难数据库(出版商)”最低求助积分说明 770253