Evidence map›Paper›PMID 42621842›Full record

ArticleThe Analyst2026

Analysis of multiplexed SERS-based lateral flow assays: turning qualitative into quantitative for inflammatory bowel disease monitoring.

Jodie Fergusson, Gregory Q Wallace, Sian Sloan-Dennison, Neil C Shand, Duncan Graham, Karen Faulds

Abstract read
In one paragraph

Article in The Analyst, 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.

Jodie FergussonCentre for Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0009-0005-4507-4155
Gregory Q WallaceCentre for Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0000-0003-0702-3734
Sian Sloan-DennisonCentre for Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0000-0003-2473-1425
Neil C ShandDefence Science and Technology Laboratory, Porton Down, Salisbury, SP4 0JQ, UK.
Duncan GrahamCentre for Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0000-0002-6079-2105
Karen FauldsCentre for Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0000-0002-5567-7399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of diagnostic tests that offer rapid and quantitative results can improve the health of patients, suffering from both chronic and acute diseases. Inflammatory bowel disease (IBD) is a chronic autoimmune condition, where a patient can undergo periods of sudden flare-ups and prolonged remission. The current biomarkers of interest are either detected using central laboratory methods, or, are non-specific to IBD. In this work, we develop a series of lateral flow immunoassays for the detection of IBD biomarkers lactoferrin and myeloperoxidase, in an artificial stool matrix. By utilising surface enhanced Raman scattering (SERS) active nanotags, we demonstrate the feasibility of these SERS-based lateral flow immunoassays for proof-of-concept singleplex and duplex detection

Indexed as

Inflammatory Bowel DiseasesLactoferrinPeroxidaseSpectrum Analysis, RamanBiomarkersFecesHumansImmunoassayLimit of DetectionMetal NanoparticlesRapid Diagnostic TestsBiomarkersLactoferrinPeroxidase

Identifiers

PMID42621842
PMCPMC13491543

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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.