Evidence map›Paper›PMID 39459126›Full record

ArticleMicromachines2024

Salivary Cortisol Detection with a Fully Inkjet-Printed Paper-Based Electrochemical Sensor.

Miguel Zea, Hamdi Ben Halima, Rosa Villa, Imad Abrao Nemeir, Nadia Zine, Abdelhamid Errachid, Gemma Gabriel

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
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

7 authors.

Miguel ZeaInstituto de Microelectrónica de Barcelona IMB-CNM (CSIC), Campus Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain.ORCID 0000-0001-9506-4944
Hamdi Ben HalimaInstitut UTINAM, UMR CNRS 6213, Université de Franche-Comté, 16 Route de Gray, 25030 Besançon, France.ORCID 0000-0001-8308-1755
Rosa VillaInstituto de Microelectrónica de Barcelona IMB-CNM (CSIC), Campus Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain.ORCID 0000-0003-2735-3204
Imad Abrao NemeirThEA Group, Department of Chemistry and Biochemistry, Faculty of Arts and Science, Holy Spirit University of Kaslik (USEK), Jounieh P.O. Box 446, Lebanon.ORCID 0000-0002-3985-3276
Nadia ZineInstitut des Sciences Analytiques (ISA), Université Claude Bernard Lyon 1, 5 Rue de la Doua, 69100 Lyon, France.
Abdelhamid ErrachidInstitut des Sciences Analytiques (ISA), Université Claude Bernard Lyon 1, 5 Rue de la Doua, 69100 Lyon, France.
Gemma GabrielInstituto de Microelectrónica de Barcelona IMB-CNM (CSIC), Campus Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain.ORCID 0000-0003-2140-6299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemical paper-based analytical devices (ePADs) offer an innovative, low-cost, and environmentally friendly approach for real-time diagnostics. In this study, we developed a functional all-inkjet paper-based electrochemical immunosensor using gold (Au) printed ink to detect salivary cortisol. Covalent binding of the cortisol monoclonal antibody onto the printed Au surface was achieved through electrodeposition of 4-carboxymethylaniline (CMA), with ethanolamine passivation to prevent non-specific binding. The ePAD exhibited a linear response within the physiological cortisol range (5-20 ng/mL), with sensitivities of 25, 23, and 19 Ω·ng/mL and R

Indexed as

cortisolelectrochemical impedance spectroscopyelectrochemical sensorinkjet printingpaper substratestress hormone

Identifiers

PMID39459126
PMCPMC11509315

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.