Identification of heavy metal ions from aqueous environment through gold, Silver and Copper Nanoparticles: An excellent colorimetric approach

纳米颗粒 水溶液中的金属离子 表面等离子共振 纳米材料 纳米技术 金属 重金属 材料科学 化学 环境化学 冶金
作者
Ali Hyder,Jamil A. Buledi,Muhammad Nawaz,Dhani Bux Rajpar,Zia-ul-Hassan Shah,Yasin Orooji,Mehmet Lütfi Yola,Hassan Karimi‐Maleh,Hongjun Lin,Amber R. Solangi
出处
期刊:Environmental Research [Elsevier]
卷期号:205: 112475-112475 被引量:104
标识
DOI:10.1016/j.envres.2021.112475
摘要

Heavy metal pollution has become a severe threat to human health and the environment for many years. Their extensive release can severely damage the environment and promote the generation of many harmful diseases of public health concerns. These toxic heavy metals can cause many health problems such as brain damage, kidney failure, immune system disorder, muscle weakness, paralysis of the limbs, cardio complaint, nervous system. For many years, researchers focus on developing specific reliable analytical methods for the determination of heavy metal ions and preventing their acute toxicity to a significant extent. The modern researchers intended to utilize efficient and discerning materials, e.g. nanomaterials, especially the metal nanoparticles to detect heavy metal ions from different real sources rapidly. The metal nanoparticles have been broadly utilized as a sensing material for the colorimetric detection of toxic metal ions. The metal nanoparticles such as Gold (Au), Silver (Ag), and Copper (Cu) exhibited localized plasmon surface resonance (LPSR) properties which adds an outstanding contribution to the colorimetric sensing field. Though, the stability of metal nanoparticles was major issue to be exploited colorimetric sensing of heavy emtal ions, but from last decade different capping and stabilizing agents such as amino acids, vitmains, acids and ploymers were used to functionalize the metal surface of metal nanoparticles. These capping agents prevent the agglomeration of nanoparticles and make them more active for prolong period of time. This review covers a comprehensive work carried out for colorimetric detection of heavy metals based on metal nanoparticles from the year 2014 to onwards.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Autumn完成签到,获得积分10
刚刚
祁瓀发布了新的文献求助10
1秒前
马婷婷发布了新的文献求助10
1秒前
1秒前
zhangzhang发布了新的文献求助10
2秒前
2秒前
我心飞翔完成签到,获得积分10
4秒前
SciGPT应助Camellia采纳,获得10
5秒前
6秒前
小汤圆完成签到,获得积分10
7秒前
7秒前
苏满天发布了新的文献求助10
7秒前
linzw发布了新的文献求助10
8秒前
上官若男应助橘子星采纳,获得10
10秒前
oceanao应助zhangzhang采纳,获得10
11秒前
12秒前
ringmo发布了新的文献求助10
12秒前
可爱的函函应助wangzai111采纳,获得10
13秒前
13秒前
13秒前
14秒前
李Li发布了新的文献求助10
14秒前
润土完成签到,获得积分10
16秒前
丘比特应助77采纳,获得10
17秒前
风yiya发布了新的文献求助10
18秒前
19秒前
20秒前
加油呀发布了新的文献求助10
20秒前
赵早早关注了科研通微信公众号
21秒前
祁瓀完成签到,获得积分20
22秒前
22秒前
22秒前
YY完成签到,获得积分10
23秒前
huangsi发布了新的文献求助10
23秒前
坚定语蕊完成签到,获得积分10
24秒前
豆腐kkkkk发布了新的文献求助10
25秒前
Mr.w完成签到,获得积分10
25秒前
科研小狗完成签到 ,获得积分10
26秒前
冷公子完成签到,获得积分20
28秒前
斯文败类应助kk采纳,获得10
29秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3158219
求助须知:如何正确求助?哪些是违规求助? 2809498
关于积分的说明 7882396
捐赠科研通 2468007
什么是DOI,文献DOI怎么找? 1313841
科研通“疑难数据库(出版商)”最低求助积分说明 630572
版权声明 601943