Evidence map›Paper›PMID 42613894›Full record

ArticleChemphyschem : a European journal of chemical physics and physical chemistry2026

Multiplexed Detection of Cancer Protein Biomarkers via Surface-Enhanced Raman Scattering Immunoassays on Natural Diatomite Strips.

Ayse Mine Saridag, Isik Didem Karagoz, Sebastian Wachsmann-Hogiu, Mehmet Kahraman

Abstract read
In one paragraph

Article in Chemphyschem : a European journal of chemical physics and physical chemistry, 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
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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

4 authors.

Ayse Mine SaridagDepartment of Chemistry, Faculty of Arts and Sciences, Gaziantep University, Gaziantep, Türkiye.
Isik Didem KaragozDepartment of Biology, Faculty of Arts and Sciences, Gaziantep University, Gaziantep, Türkiye.ORCID 0000-0001-6527-2750
Sebastian Wachsmann-HogiuDepartment of Bioengineering, McGill University, Montreal, Quebec, Canada.
Mehmet KahramanDepartment of Chemistry, Faculty of Arts and Sciences, Gaziantep University, Gaziantep, Türkiye.ORCID 0000-0002-3915-087X

Funding

NSERC Discovery RGPIN-2018-05675Türkiye Bilimler Akademisi GEBİP 2018Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 119Z091Türkiye Bilimsel ve Teknolojik Araştırma Kurumu BIDEP 2211A
6 · The paper itself

Abstract

In this study, we used flexible and inexpensive diatomite/AgNPs strips and Layer-by-Layer (LbL) assembly to develop sandwich assays for the detection of cancer biomarkers of interest via Surface-enhanced Raman scattering (SERS). The modified SERS active strips were used to capture antigens of interest, incubate Raman probes, and generate SERS maps based on specific Raman peaks of the Raman probes. Simultaneous detection and quantification of multiple biomarkers, including HER2, CA15-3, CA27-29, PSA, and MUC4, were demonstrated by the immobilization of specific antibodies and the use of uniquely labeled Raman probes. Spatially resolved and co-immobilized multiplexing strategies were developed and successfully validated, showing high specificity and sensitivity with negligible background interference from serum components. The flexible and cost-effective nature of the diatomite/AgNPs substrate, combined with its strong SERS enhancement, offers significant advantages over traditional immunoassay techniques.

Indexed as

Biomarkers, TumorDiatomaceous EarthSpectrum Analysis, RamanHumansImmunoassayMetal NanoparticlesSilverSurface PropertiesBiomarkers, TumorDiatomaceous EarthdiatomiteSilvercancer biomarkersdiatomitelayer‐by‐layer assemblymultiplexed detectionRaman mapsRaman probessurface enhanced Raman spectroscopy

Identifiers

PMID42613894
PMCPMC13487357

What OpenQuestion holds

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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.