Evidence map›Paper›PMID 41043109›Full record

ArticleACS sensors2025

An Integrated Plasmonic Sensing Array for Chemical Fingerprinting and Flavor Profiling in Beverages and Other Liquids.

Justin R Sperling, Daniel D Osborne, Badri Aekbote, Anthony E Perri, Rebecca A Setford, Hanyu Gao, Liam T Wilson, Chad M Sipperley, Rudolf J Schick, Caroline Gauchotte-Lindsay and 2 more

Abstract read
In one paragraph

Article in ACS sensors, 2025. 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

12 authors.

Justin R SperlingJames Watt School of Engineering, Advanced Research Centre, University of Glasgow, Glasgow G11 6EW, United Kingdom.ORCID 0000-0002-1708-2474
Daniel D OsborneSchool of Chemistry, Joseph Black Building, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Badri AekboteJames Watt School of Engineering, Advanced Research Centre, University of Glasgow, Glasgow G11 6EW, United Kingdom.
Anthony E PerriSpray Analysis and Research Services, Spraying Systems Co., Wheaton, Illinois 60139, United States.
Rebecca A SetfordJames Watt School of Engineering, Advanced Research Centre, University of Glasgow, Glasgow G11 6EW, United Kingdom.
Hanyu GaoJames Watt School of Engineering, Advanced Research Centre, University of Glasgow, Glasgow G11 6EW, United Kingdom.
Liam T WilsonSchool of Chemistry, Joseph Black Building, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Chad M SipperleySpray Analysis and Research Services, Spraying Systems Co., Wheaton, Illinois 60139, United States.
Rudolf J SchickSpray Analysis and Research Services, Spraying Systems Co., Wheaton, Illinois 60139, United States.
Caroline Gauchotte-LindsayJames Watt School of Engineering, Advanced Research Centre, University of Glasgow, Glasgow G11 6EW, United Kingdom.
William J PevelerSchool of Chemistry, Joseph Black Building, University of Glasgow, Glasgow G12 8QQ, United Kingdom.ORCID 0000-0002-9829-2683
Alasdair W ClarkJames Watt School of Engineering, Advanced Research Centre, University of Glasgow, Glasgow G11 6EW, United Kingdom.ORCID 0000-0001-9797-5776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a reusable cross-reactive plasmonic sensing system that generates unique optical fingerprints for any liquid mixture. The platform leverages a multiplexed plasmonic chip and droplet microarray methodology for creating 24 orthogonally modified sensors coupled with hyperspectral imaging. We demonstrate the versatility and sensitivity of our platform by distinguishing not only between broad categories of chemically diverse beverages but also between individual products within those categories, capturing subtle chemical variations even within highly dilute samples, such as mineral waters. Capable of rapidly fingerprinting liquid samples and measuring the kinetics of reversible supramolecular interactions underlying those fingerprints, this technology represents a significant advance in cross-reactive liquid-phase sensor arrays. Our portable tool provides a practical solution for QA/QC in beverage production, a platform to extend liquid fingerprint analysis beyond food and drink, and, with array expansion, the potential to profile the complex molecular attributes that shape taste and flavor.

Indexed as

BeveragesFlavoring AgentsTasteFlavoring Agentsartificial olfactiondroplet microarrayhyperspectral imagingplasmonicssensor array

Identifiers

PMID41043109
PMCPMC12560130

What OpenQuestion holds

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LicenceCC BY
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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.