Evidence map›Paper›PMID 42124849›Full record

ArticleRSC advances2026

Paper-based electrochemical sensor for direct detection of caffeine in commercial beverage samples.

Muhammad Yudha Syahputra, Erika Shinchi, Kenji Shida, Masato Tominaga

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
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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

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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.

Muhammad Yudha SyahputraGraduate School of Science and Engineering, Saga University 1 Honjomachi Saga 840-8502 Japan masato@cc.saga-u.ac.jp.ORCID https://orcid.org/0000-0002-6232-839X
Erika ShinchiAnalytical Research Center for Experimental Science, Saga University 1 Honjomachi Saga 840-8502 Japan.ORCID https://orcid.org/0000-0003-3248-9907
Kenji ShidaFaculty of Engineering, Kumamoto University Kumamoto 860-8555 Japan.
Masato TominagaGraduate School of Science and Engineering, Saga University 1 Honjomachi Saga 840-8502 Japan masato@cc.saga-u.ac.jp.ORCID https://orcid.org/0000-0002-1103-7576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paper-based sensors offer a promising route toward portable and biodegradable electrochemical sensors for microvolume analysis; however, their application to the detection of caffeine remains limited. In this study, we developed a paper-based electrochemical sensor for direct detection of caffeine in commercial beverages without sample pretreatment. The sensor was fabricated by integrating multi-walled carbon nanotubes (MWCNTs) onto wax-modified paper supported by a cellulose nanofibre (CNF) film. Electrochemical investigations revealed an irreversible caffeine oxidation current at the MWCNTs-modified electrode, which was due to a diffusion-controlled reaction. The caffeine oxidation reaction was found to proceed through a two-proton, four-electron transfer mechanism, as determined by the potential peak shift and caffeine diffusion coefficient. The sensor enabled direct detection of caffeine in microvolume samples and was successfully applied to commercial beverages without any pretreatment. Square wave voltammetry demonstrated sensitive and selective caffeine detection with a linear response over a caffeine concentration range of 5-200 µM. Reliable caffeine quantification was achieved using only 20 µL of sample, with measured caffeine concentrations consistent with those obtained by liquid chromatography-mass spectrometry. These results demonstrate the potential of the developed paper-based sensor as a sustainable and practical platform for the direct electrochemical analysis of caffeine in beverages.

Identifiers

PMID42124849
PMCPMC13160274

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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.