Evidence map›Paper›PMID 41744700›Full record

ArticleBiosensors2026

Capturing Emotions Induced by Fragrances in Saliva: Objective Emotional Assessment Based on Molecular Biomarker Profiles.

Laurence Molina, Francisco Santos Schneider, Malik Kahli, Alimata Ouedraogo, Mellis Alali, Agnés Almosnino, Julie Baptiste, Jeremy Boulestreau, Martin Davy, Juliette Houot-Cernettig and 5 more

2 registry-linked trialsAbstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this 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.

NCT07507266 not yet recruitingnot on this map

Evaluation of Emotions From Salivary Molecular Biomarkers in an Architectural Context

TypeobservationalSponsorSys2DiagRan2026 to 2028Enrolled60ConditionsEmotionsArmsBio-fluid analysis for the measurement of salivary biomarkers linked to emotions
NCT07522372 active not recruitingnot on this map

Evaluation of the Effect of Kefir Consumption on Urinary and Salivary Levels of Metabolites Such as BCAAs and on Biomarkers of Well-being

TypeobservationalSponsorSys2DiagRan2024 to 2027Enrolled66ConditionsEmotion, Well-beingArmsConsumption of a control beverage, non-fermented carbonated drink, Consumption of fruit kefir, Consumption of micro-filtered fruit kefir
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

15 authors.

Laurence MolinaSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.ORCID 0000-0002-5332-3917
Francisco Santos SchneiderSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.ORCID 0000-0003-3285-7191
Malik KahliSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.ORCID 0009-0008-3435-1315
Alimata OuedraogoSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Mellis AlaliSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Agnés AlmosninoSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Julie BaptisteSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Jeremy BoulestreauSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.ORCID 0000-0002-7231-2084
Martin DavySys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Juliette Houot-CernettigSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Telma MountouSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Marine QuenotSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.
Elodie SimphorSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.ORCID 0009-0006-3282-5850
Victor PetitSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.ORCID 0009-0003-1750-0650
Franck MolinaSys2Diag UMR9005 CNRS/ALCEN, Biological Complex System Modeling and Engineering for Diagnosis, 1682 rue de la Valsière CS 61003, 34184 Montpellier Cedex 4, France.ORCID 0000-0003-4181-0854

Funding

Alcen (France) N/ACentre National pour la Recherche Scientifique (CNRS) N/A
6 · The paper itself

Abstract

In this study, we describe a non-invasive approach to objectively assess fragrance-induced emotions using multiplex salivary biomarker profiling. Traditional self-reports, physiological monitoring, and neuroimaging remain limited by subjectivity, invasiveness, or poor temporal resolution. Saliva offers an advantageous alternative, reflecting rapid neuroendocrine changes linked to emotional states. We combined four key salivary biomarkers, cortisol, alpha-amylase, dehydroepiandrosterone, and oxytocin, to capture multidimensional emotional responses. Two clinical studies (n = 30, n = 63) and one user study (n = 80) exposed volunteers to six fragrances, with saliva collected before and 5 and 20 min after olfactory stimulation. Subjective emotional ratings were also obtained through questionnaires or an implicit approach. Rigorous analytical validation accounted for circadian variation and sample stability. Biomarker patterns revealed fragrance-induced emotional profiles, highlighting subgroups of participants whose biomarker dynamics correlated with particular emotional states. Increased oxytocin and decreased cortisol levels aligned with happiness and relaxation; in comparison, distinct biomarker combinations were associated with confidence or dynamism. Classification and Regression Trees (CART) analysis results demonstrated high sensitivity for detecting these profiles. Validation in an independent cohort using an implicit association test confirmed concordance between molecular profiles and behavioral measures, underscoring the robustness of this method. Our findings establish salivary biomarker profiling as an objective tool for decoding real-time emotional responses. Beyond advancing affective neuroscience, this approach holds translational potential in personalized fragrance design, sensory marketing, and therapeutic applications for stress-related disorders.

Indexed as

EmotionsOdorantsPerfumeSalivaAdultalpha-AmylasesBiomarkersDehydroepiandrosteroneFemaleHumansHydrocortisoneMaleOxytocinYoung Adultalpha-AmylasesBiomarkersDehydroepiandrosteroneHydrocortisoneOxytocinPerfumealpha-amylasecortisolDHEAemotional assessmentemotion molecular biomarkersolfactive stimulationoxytocinsalivary biomarker assay

Identifiers

PMID41744700
PMCPMC12938836

What OpenQuestion holds

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Registered trials

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.