Evidence map›Paper›PMID 40208377›Full record

ArticleBiomedical microdevices2025

On-site analysis of cortisol in saliva based on microchannel lateral flow assay (mLFA) on polymer lab-on-a-chip (LOC).

V Thiyagarajan Upaassana, Supreeth Setty, Heeyeong Jang, Sthitodhi Ghosh, Chong Ahn

Abstract read
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Article in Biomedical microdevices, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

5 authors.

V Thiyagarajan UpaassanaDepartment of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, Ohio, 45221, USA.
Supreeth SettyDepartment of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, Ohio, 45221, USA.
Heeyeong JangDepartment of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, Ohio, 45221, USA.
Sthitodhi GhoshDepartment of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, Ohio, 45221, USA.
Chong AhnDepartment of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, Ohio, 45221, USA. ahnch@ucmail.uc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unbound cortisol in saliva, detectable through non-invasive sampling, is widely recognized as a validated biomarker for the biochemical evaluation of common mental disorders such as chronic stress, depression, anxiety, and post-traumatic stress disorder (PTSD). In this work, we report a novel polymer lab-on-a-chip (LOC) for microfluidic lateral flow assay (mLFA) with on-chip dried reagents for the detection of unbound cortisol in saliva using a competitive immunoassay protocol. The new polymer microchannel lateral flow assay on lab-on-a-chip (mLFA-LOC), replicated using injection molding technology, are composed of sequentially connected microchannels for sample loading, detection antibody immobilization, flow delay, sensing spirals for test and control, and a capillary pump at the end. The competitive immunoassay of cortisol can be autonomously performed through the microchannels after sample loading of the filtered saliva, and the fluorescence signals emitted from the sensing spirals are detected and quantified by a custom-designed, portable fluorescence analyzer developed in this work. For the evaluation of cortisol assay, artificial saliva samples spiked with unbound cortisol were analyzed using mLFA-LOC and the portable analyzer. The performed competitive assay of unbound cortisol showed a limit of detection (LoD) of 1.8 ng/mL and an inter-chip coefficient of variation (CV) of 4.0%, which covers the clinical range for on-site unbound salivary cortisol analysis. The newly developed mLFA-LOC platform certainly works successfully for the rapid on-site sampling and analysis of salivary biomarkers.

Indexed as

HydrocortisoneLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesPolymersSalivaHumansImmunoassayHydrocortisonePolymersCompetitive immunoassayLab-on-a-chip (LOC)Microchannel lateral flow assay (mLFA)Portable fluorescence analyzerUnbound salivary cortisol

Identifiers

PMID40208377
PMCPMC11985571

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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.