2020
DOI: 10.1007/s11356-020-07865-7
|View full text |Cite
|
Sign up to set email alerts
|

A review on detection of heavy metals from aqueous media using nanomaterial-based sensors

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
53
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 128 publications
(57 citation statements)
references
References 56 publications
0
53
0
Order By: Relevance
“…This may be due to surface alliin molecules becoming more labile and Ag 0 state disappearing in the presence of Hg 2+ and Sn 2+ . 31,32…”
Section: Raman Spectroscopymentioning
confidence: 99%
“…This may be due to surface alliin molecules becoming more labile and Ag 0 state disappearing in the presence of Hg 2+ and Sn 2+ . 31,32…”
Section: Raman Spectroscopymentioning
confidence: 99%
“…New nanomaterials such as nanoclusters, aptamers, antibodies, and quantum dots are used in heavy metal detection systems. 25 , 29 Depending on the type of biosensor, it significantly increases sensitivity and specificity. Due to excellent resistance to oxidation and non-toxicity, gold nanoparticles are mostly used to manufacture biosensors applied in biotechnology and medicine.…”
Section: Application Of Nanomaterials In Biosensor Designingmentioning
confidence: 99%
“…The detection methods for heavy metal ions are various, including traditional methods and novel biosensors [ 7 ]. The traditional detection methods include atomic absorption/emission spectrometry, atomic fluorescence spectrometry, inductively coupled plasma mass spectrometry, high performance liquid chromatography and so on [ 8 – 12 ]. These methods can accurately quantify heavy metal ions with high sensitivity but they require professionals for on-site and routine environmental monitoring, and sample pretreatment is complex with expensive equipment, which limits their application [ 13 ].…”
Section: Introductionmentioning
confidence: 99%