Evidence map›Paper›PMID 42170095›Full record

ArticleRSC advances2026

Maleic acid assisted facile plasmonic chip for assessment of adulterants in cattle milk.

Upama Das, Tonmoy Dhar, Rajib Biswas, Nirmal Mazumder

Abstract read
In one paragraph

Article 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

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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

4 authors.

Upama DasApplied Optics and Photonics Research Laboratory, Department of Physics, Tezpur University Tezpur-784028 Assam India rajib@tezu.ernet.in.
Tonmoy DharApplied Optics and Photonics Research Laboratory, Department of Physics, Tezpur University Tezpur-784028 Assam India rajib@tezu.ernet.in.
Rajib BiswasApplied Optics and Photonics Research Laboratory, Department of Physics, Tezpur University Tezpur-784028 Assam India rajib@tezu.ernet.in.ORCID https://orcid.org/0000-0001-6246-2196
Nirmal MazumderDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education Manipal India nirmal.mazumder@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adulteration in cattle milk is a pervasive issue, where melamine is added to milk due to its high nitrogen content, which ultimately falsely elevates the perceived protein levels of milk. However, its consumption possesses a significant threat, because it can cause severe health hazards. Conventional detection methods are often very expensive and also lack selectivity, and sensitivity towards detection of toxic adulterants. This study addresses these limitations by fabricating a highly selective maleic acid-functionalized silver nanoparticles (MA-AgNPs) based plasmonic nanofilm for highly accurate detection of milk adulterant melamine. At first, chemical reduction method was used to synthesize the AgNP swhich was later functionalized with maleic acid. The functionalized NPs were uniformly coated onto a glass slide to create localized surface plasmon resonance (LSPR) chip. The plasmonic activity of the NPs along with its selective interaction towards melamine resulted in significant shift in plasmonic peak position, enabling melamine detection below the permissible limit. To determine the optical and physical properties of the synthesized AgNPs, UV-vis spectrophotometer, X-ray diffractometer (XRD), Field Emission Scanning Electron Microscope (FESEM), Atomic Force Microscope (AFM), and Transmission Electron Microscope (TEM) studies were conducted. Validation of the milk samples spiked with melamine was performed utilizing the High-Performance Liquid Chromatography (HPLC) method. The developed LSPR-based platform offered a sustainable and inexpensive solution for detecting milk adulterant melamine, with high sensitivity, selectivity and lower detection limit.

Identifiers

PMID42170095
PMCPMC13187901

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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.