已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Novel ZIF-67-derived Co@CNTs nanocomposites as effective adsorbents for removal of tetracycline and sulfadiazine antibiotics

吸附 四环素 化学 磺胺嘧啶 碳纳米管 核化学 朗缪尔吸附模型 四环素类抗生素 色谱法 抗生素 材料科学 有机化学 纳米技术 生物化学
作者
Thuan Van Tran,Aishah Abdul Jalil,Duyen Thi Cam Nguyen,Tung M. Nguyen,M. Alhassan,Walid Nabgan,Saravanan Rajendran,Mochamad Lutfi Firmansyah
出处
期刊:Environmental Research [Elsevier BV]
卷期号:225: 115516-115516 被引量:26
标识
DOI:10.1016/j.envres.2023.115516
摘要

Tetracycline (TCC) and sulfadiazine (SDZ) are two of the most consumed antibiotics for human therapies and bacterial infection treatments in aquafarming fields, but their accumulative residues can result in negative effects on water and aquatic microorganisms. Removal techniques are therefore required to purify water before use. Herein, we concentrate on adsorptive removal of TCC and SDZ using cobalt@carbon nanotubes (Co@CNTs) derived from Co-ZIF-67. The presence of CNTs on the edge of nanocomposites was observed. Taguchi orthogonal array was designed with four variables including initial concentration (5-20 mg L-1), dosage (0.05-0.2 g L-1), time (60-240 min), and pH (2-10). Concentration and pH were found to be main contributors to adsorption of tetracycline and sulfadiazine, respectively. The optimum condition was found at concentration 5 mg L-1, dosage 0.2 g L-1, contact time 240 min, and pH 7 for both TCC and SDZ removals. Confirmation tests showed that Co@CNTs-700 removed 99.6% of TCC and 97.3% of SDZ with small errors (3-5.5%). Moreover, the kinetic and isotherm were studied, which kinetic and isotherm data were best fitted with pseudo second-order model and Langmuir. Maximum adsorption capacity values for TCC and SDZ were determined at 118.4-174.1 mg g-1 for 180 min. We also proposed the main role of interactions such as hydrogen bonding, π-π stacking, and electrostatic attraction in the adsorption of antibiotics. With high adsorption performance, Co@CNTs-700 is expected to remove antibiotics efficiently from wastewater.
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
2秒前
4秒前
沧浪完成签到,获得积分10
4秒前
4秒前
杨纨成发布了新的文献求助10
6秒前
费兰特完成签到 ,获得积分10
6秒前
长度2到发布了新的文献求助10
9秒前
9秒前
yanzilin完成签到 ,获得积分10
11秒前
15秒前
我是老大应助美丽的依琴采纳,获得10
15秒前
辣椒完成签到 ,获得积分10
18秒前
18秒前
lb001完成签到 ,获得积分10
18秒前
小二郎应助杨纨成采纳,获得10
19秒前
DChen完成签到 ,获得积分10
19秒前
19秒前
wugang完成签到 ,获得积分10
22秒前
shine发布了新的文献求助10
23秒前
ZS-完成签到 ,获得积分10
24秒前
24秒前
24秒前
24秒前
24秒前
24秒前
24秒前
24秒前
24秒前
24秒前
丘比特应助哈哈采纳,获得10
25秒前
25秒前
长度2到完成签到,获得积分10
28秒前
xqq完成签到,获得积分10
29秒前
30秒前
32秒前
32秒前
32秒前
33秒前
33秒前
Yuang完成签到 ,获得积分10
33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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366574
求助须知:如何正确求助?哪些是违规求助? 8180451
关于积分的说明 17246019
捐赠科研通 5421403
什么是DOI,文献DOI怎么找? 2868450
邀请新用户注册赠送积分活动 1845546
关于科研通互助平台的介绍 1693045