Green synthesized iron nanoparticles by green tea and eucalyptus leaves extracts used for removal of nitrate in aqueous solution

硝酸盐 纳米颗粒 化学 水溶液 吸附 背景(考古学) 零价铁 傅里叶变换红外光谱 核化学 氧化铁 化学工程 材料科学 纳米技术 有机化学 古生物学 工程类 生物
作者
Ting Wang,Jiajiang Lin,Zuliang Chen,Mallavarapu Megharaj,Ravi Naidu
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:83: 413-419 被引量:486
标识
DOI:10.1016/j.jclepro.2014.07.006
摘要

Since water pollution associated with high concentrations of nitrate poses serious threats to aquatic ecosystems and can eventually lead to eutrophication, the removal of nitrate, particularly in a large scale context is still a challenge. To address it, this study proposed that iron nanoparticles (Fe NPs) synthesized by green tea (GT-Fe) and eucalyptus leaves (EL-Fe) extracts, which regarded as cleaner productions can be used for the efficient removal of nitrate. Scanning electron microscopy (SEM) and X-ray energy-dispersive spectrometer (EDS) confirmed the successful synthesis of spheroidal iron nanoparticles. Meanwhile, X-ray diffraction (XRD) and Fourier Transform Infrared spectrometer (FTIR) indicated the formation of Fe0-iron oxide core-shell NPs with polyphenols as a capping/stabilizing agent. Batch experiment showed that 59.7% and 41.4% of nitrate was removed by GT-Fe and EL-Fe NPs, compared to the 87.6% and 11.7% that was removed using zero-valent iron nanoparticles (nZVI) and Fe3O4 nanoparticles, respectively. Nevertheless, reactivity of nZVI decreased 2.1-fold after being aged in air for two months, whilst GT-Fe and EL-Fe NPs almost remain the same. Additionally, the kinetics study indicated that the nitrate removal process better fitted to the pseudo-second-order adsorption model, where the qe was 13.06 mg/g for GT-Fe and 9.698 mg/g for EL-Fe NPs. Based above, a removal mechanism dominated by adsorption and co-precipitation process with subsequently reduction was proposed. Finally, applications of these as-prepared green Fe NPs in swine wastewater demonstrated a promising environmental pollution management option for large scale eutrophic wastewater treatment.
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
orixero应助曾经不言采纳,获得10
刚刚
爆米花应助zsq采纳,获得10
刚刚
妮妮发布了新的文献求助10
1秒前
暖洋洋阳完成签到 ,获得积分10
1秒前
小欣欣的完成签到,获得积分10
1秒前
eily完成签到,获得积分10
1秒前
月亮发布了新的文献求助10
1秒前
1秒前
科研通AI6.1应助keplek采纳,获得10
1秒前
2秒前
wch666完成签到,获得积分10
2秒前
科研通AI6.4应助圆小异采纳,获得30
2秒前
Owen应助圆小异采纳,获得30
2秒前
3秒前
3秒前
3秒前
3秒前
小杨发布了新的文献求助10
4秒前
LL发布了新的文献求助20
4秒前
芊芊墨客完成签到,获得积分10
4秒前
米修发布了新的文献求助10
4秒前
4秒前
深情安青应助cc采纳,获得10
4秒前
4秒前
我是老大应助shutiaodawang采纳,获得20
5秒前
5秒前
5秒前
无私的以冬完成签到,获得积分10
5秒前
从容前行完成签到,获得积分10
5秒前
6秒前
上官若男应助哈哈哈采纳,获得10
6秒前
6秒前
小敏哼发布了新的文献求助10
6秒前
66发布了新的文献求助10
7秒前
鸡米花完成签到 ,获得积分10
8秒前
量子星尘发布了新的文献求助10
8秒前
8秒前
上官若男应助威武白桃采纳,获得10
8秒前
8秒前
8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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Modified letrozole versus GnRH antagonist protocols in ovarian aging women for IVF: An Open-Label, Multicenter, Randomized Controlled Trial 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6062085
求助须知:如何正确求助?哪些是违规求助? 7894344
关于积分的说明 16309240
捐赠科研通 5205686
什么是DOI,文献DOI怎么找? 2784947
邀请新用户注册赠送积分活动 1767513
关于科研通互助平台的介绍 1647410