Evidence map›Paper›PMID 41727375›Full record

ArticleACS measurement science au2026

Flexible Electrochemical Biosensor for Non-Invasive, on-Site Cortisol Monitoring in Sweat and Saliva.

Sonal Fande, Dharmarajan Sriram, Sanket Goel

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Sonal FandeMEMS, Microfluidics and Nanoelectronics (MMNE) Lab, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad 500078, India.
Dharmarajan SriramDepartment of Pharmacy, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad 500078, India.
Sanket GoelMEMS, Microfluidics and Nanoelectronics (MMNE) Lab, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad 500078, India.ORCID https://orcid.org/0000-0002-9739-4178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic stress is a critical public health concern with strong links to both mental and physical health. Excessive stress alters brain architecture and stimulates the adrenal gland to release cortisol, a key biomarker of stress. Conventional cortisol measurements rely on invasive, laboratory-based methods that are unsuitable for real-time, point-of-care testing. This study reports the development of a noninvasive, flexible electrochemical biosensor for the selective detection of cortisol in human sweat and saliva. The sensor was fabricated on a polyethylene terephthalate (PET) substrate coated with indium tin oxide (ITO) and functionalized with gold nanoparticles (AuNPs) to enhance conductivity and surface area. AnteoBind chemistry was employed for oriented immobilization of monoclonal anticortisol antibodies. The device was integrated with a microfluidic platform to enable controlled sweat analysis. Electrochemical measurements demonstrated a linear response over the range of 0.5-150 ng/mL, with a detection limit of 0.58 ng/mL. The sensor retained 80% of its signal over 30 days, with reproducibility across batches (RSD ∼ 3.2%). Real sample analysis showed recovery values of 95.5-104% in sweat and saliva samples. These findings underscore the potential of this biosensor for noninvasive monitoring of stress markers in wearable applications, supporting early stress detection and personalized health management.

Indexed as

anteobindimmunosensorITO electrodesnoninvasivestress monitoringsweat

Identifiers

PMID41727375
PMCPMC12921587

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.