Evidence map›Paper›PMID 42866199›Full record

ReviewRSC advances2026

Quantum dot sensors for heavy metal detection: from mechanistic design to field deployment: a review.

Garima Rathee, Sahil Kohli, Rida Hashami, Krati Singh, Jyotsna Rathee, Barkha Rathee, Suphiya Khan

Abstract readReview
In one paragraph

Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Garima RatheeDepartment of Chemical Engineering, Universitat Politècnica de Catalunya Barcelona Spain garimaratheegr@gmail.com garima.rathee@upc.edu.ORCID https://orcid.org/0000-0001-6825-3563
Sahil KohliDepartment of Chemistry, School of Engineering and Technology, Manav Rachna International Institute of Research and Studies Faridabad Haryana-121004 India.
Rida HashamiBiosensor Lab, Department of Chemistry, BITS Pilani KK Birla Goa Campus Vasco da Gama 403726 Goa India.ORCID https://orcid.org/0009-0009-6828-7574
Krati SinghDepartment of Bioscience and Biotechnology, Banasthali Vidyapith Rajasthan 304022 India.
Jyotsna RatheeComputer Science & Engineering Department, Deenbandhu Chhotu Ram University of Science and Technology Sonipat 131039 India.
Barkha RatheeDepartment of Chemistry, MDU Rohtak-124001 Haryana India.ORCID https://orcid.org/0000-0002-5283-0730
Suphiya KhanDr Bansi Dhar Institute Gurugram Haryana India garimarathee@drbansidharinstitute.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metal contamination poses a critical global health risk, affecting over 2.2 billion people and necessitating rapid, sensitive, and field-deployable detection technologies. Conventional analytical techniques such as ICP-MS and AAS, while highly accurate, remain constrained by high cost, complex instrumentation, and limited portability, restricting their use in decentralized monitoring. Quantum dots (QDs), owing to their size-tunable photoluminescence, high quantum yields, and excellent photostability, have emerged as powerful alternatives for ultrasensitive detection of toxic metal ions. This review provides a comprehensive and structured overview of QD-based sensing systems, beginning with fundamental aspects including synthesis strategies (colloidal, hydrothermal, and green routes), quantum confinement effects, and exciton dynamics governing optical behaviour. Emphasis is placed on surface functionalization approaches guided by Hard-Soft Acid-Base (HSAB) theory and chelation principles, enabling high selectivity toward target ions. Key sensing mechanisms, including fluorescence quenching and enhancement, Förster resonance energy transfer (FRET), and electrochemical transduction, are critically analyzed. Recent advances in hybrid nanostructures integrating QDs with graphene, metal-organic frameworks, and plasmonic materials are discussed, highlighting significant improvements in sensitivity down to picomolar levels and detection limits as low as 0.1 nM for priority contaminants such as Pb

Identifiers

PMID42866199
PMCPMC13657092

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.