Evidence map›Paper›PMID 42395802›Full record

ReviewRSC advances2026

SERS-imprinted nanosensors for monitoring of pesticides up to femtomolar concentrations: fusing selectivity with sensitivity.

Nazia Tarannum, Deepak Kumar, Pallavi Chaudhary, Pierre Dramou, Raj Kishore Sharma, Shobhita Singal

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

6 authors.

Nazia TarannumDepartment of Chemistry, Chaudhary Charan Singh University Meerut 250004 India naz1012@gmail.com deepakkumar7669@gmail.com pallavi89khatri@gmail.com pierred@cpu.edu.cn.ORCID https://orcid.org/0000-0002-4352-9540
Deepak KumarDepartment of Chemistry, Chaudhary Charan Singh University Meerut 250004 India naz1012@gmail.com deepakkumar7669@gmail.com pallavi89khatri@gmail.com pierred@cpu.edu.cn.
Pallavi ChaudharyDepartment of Chemistry, Chaudhary Charan Singh University Meerut 250004 India naz1012@gmail.com deepakkumar7669@gmail.com pallavi89khatri@gmail.com pierred@cpu.edu.cn.
Pierre DramouDepartment of Analytical Chemistry, China Pharmaceutical University Nanjing 210009 China.ORCID https://orcid.org/0000-0002-5606-034X
Raj Kishore SharmaDepartment of Chemistry, University of Delhi 110007 India drrajksharma@yahoo.co.in.ORCID https://orcid.org/0000-0002-2632-9555
Shobhita SingalDepartment of Chemistry, Motilal Nehru College, University of Delhi 110021 India shobhitasingal@gmail.com.ORCID https://orcid.org/0000-0002-0356-9935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pesticide residues in food and environmental matrices pose serious health and ecological risks, demanding rapid, sensitive, and on-site detection methods. Surface-enhanced Raman spectroscopy (SERS) offers exceptional sensitivity but often lacks selectivity in complex samples. This limitation is overcome by integrating SERS with molecularly imprinted polymers (MIPs), creating SERS-imprinted nanosensors that combine molecular recognition with signal amplification. This review systematically examines the design, fabrication, and application of MIP-SERS nanosensors for pesticide detection from 2010-2025. We discuss advanced imprinting strategies (including dummy templates, stimuli-responsive systems, and controlled polymerization) and highlight the role of nanomaterials in enhancing SERS performance. These sensors achieve detection limits as low as femtomolar concentrations for pesticides such as thiram, fenthion, and carbendazim in food, soil, and water samples. We also address key challenges in reproducibility, selectivity, and field deployment, and outline future directions including portable platforms, multiplex detection, and emerging techniques like TERS and UV-SERS. This work provides a roadmap for developing robust, selective, and field-deployable nanosensors for sustainable agriculture and food safety.

Identifiers

PMID42395802
PMCPMC13326664

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.