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Plasmonic nanoparticle’s anti-aggregation application in sensor development for water and wastewater analysis

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Abstract

Colorimetric sensors have emerged as a powerful tool in the detection of water pollutants. Plasmonic nanoparticles use localized surface plasmon resonance (LSPR)-based colorimetric sensing. LSPR-based sensing can be accomplished through different strategies such as etching, growth, aggregation, and anti-aggregation. Based on these strategies, various sensors have been developed. This review focuses on the newly developed anti-aggregation-based strategy of plasmonic nanoparticles. Sensors based on this strategy have attracted increasing interest because of their exciting properties of high sensitivity, selectivity, and applicability. This review highlights LSPR-based anti-aggregation sensors, their classification, and role of plasmonic nanoparticles in these sensors for the detection of water pollutants. The anti-aggregation based sensing of major water pollutants such as heavy metal ions, anions, and small organic molecules has been summarized herein. This review also provides some personal insights into current challenges associated with anti-aggregation strategy of LSPR-based colorimetric sensors and proposes future research directions.

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Data availability

All data are analyzed during this study are included in this article.

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Abbreviations

LSPR:

Localized surface plasmon resonance

SERS:

Surface-enhanced Raman scattering

SPR:

Surface plasmon resonance

AuNPs:

Gold nanoparticles

AgNPs:

Silver nanoparticles

CuNPs:

Copper nanoparticles

LDA:

Linear discriminant analysis

QRMAE:

Quaternary amine of diethylaminoethyl rosin ester

BSA:

Bovine serum albumin

rGO@AgNPs:

Graphene oxide silver nanoparticles

MPBA:

4-Mercaptophenylboronic acid

TCA:

Thiocyanuric acid

CTAB:

Hexadecyl trimethyl ammonium bromide

AAS:

Atomic absorption spectroscopy

ICP-OES:

Inductively coupled plasma-optical emission spectrometry

ICP-MS:

Inductively coupled plasma-mass spectrometry

MBT:

2-Mercaptobenzothiazole

WHO:

World Health Organization

GSH:

Glutathione

D-PC:

D-penicillamine

DTT:

Dithiothreitol

MBI:

Mercaptobenzimidazole

EDTA:

Ethylenediamine tetraacetic acid

MCL:

Maximal contamination level

LOR:

Limit of recognition

EPA:

Environmental Protection Agency

SA-CAT-AgNPs:

Sulfanilic acid-catechol-silver nanoparticles

4-ATP:

4-Aminothiophenol

OBA:

Oxytetracycline-binding aptamers

SNG:

Sanguinarine

Ct-DNA:

Calf thymus DNA

PDDA:

Poly diallyldimethylammonium chloride

PVP:

Polyvinyl pyrrolidone

DAA:

D-amino acids

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Funding

This study is financially supported by Guru Gobind Singh Indraprastha University, New Delhi, India, under FRGS.

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Contributions

Shailja Pandey contributed in conceptualization, methodology, data curation, writing — review and editing. Dr. Shipra Mital Gupta and Prof. Surendra Kumar Sharma contributed in supervision.

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Correspondence to Shipra Mital Gupta.

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The authors declare no competing interests.

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Pandey, S., Gupta, S.M. & Sharma, S.K. Plasmonic nanoparticle’s anti-aggregation application in sensor development for water and wastewater analysis. Environ Monit Assess 195, 874 (2023). https://doi.org/10.1007/s10661-023-11355-x

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  • DOI: https://doi.org/10.1007/s10661-023-11355-x

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