Solid-phase microextraction of sweat components of patients positive for Sars-Cov-2 for identification of possible biomarkers

Metabolomics is gaining consideration as a viable approach to diseases detection and even shows promising results in COVID-19 diagnosis. This work extends the study of the relationship between extractable sweat compounds and COVID-19 positive patients. Sweat samples were collected from 426 patients (126 positives and 300 negatives) recruited at Merida and Progreso (Yucatán, México) health centers. The composition of sweat was analyzed with a solid phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS) method. The PLS-DA, with specificity and sensitivity percentages greater than 80%, revealed significant differences between the DI-SPME profiles of infected and non-infected patients. Six key peaks used in the classification model were annotated as undecanal, methyl palmitoleate, palmitic acid, methyl oleate, squalene, and methyl cerotate, based on NIST17 spectral matches (> 90%) and interpretation aided by retention index (RI) data. Palmitic acid and Methyl oleate signals were elevated in COVID-positive patients,while undecanal, methyl palmitoleate, squalene and methyl cerotate were detected in lower amounts in COVID-positive patients. The identified set of compounds may serve as potential biomarkers for COVID-19 disease, not only in serologic assessments but also in the development of non-invasive diagnostic approaches, such as sweat-based or volatilome-based testing, as well as for monitoring disease progression and patient recovery.

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Journal
Scientific Reports
Published
2025-10-13
DOI
https://doi.org/10.1038/s41598-025-19509-2
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
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article

Solid-phase microextraction of sweat components of patients positive for Sars-Cov-2 for identification of possible biomarkers

Pilar Granja-Pérez, Lilia C. Soler-Jiménez, Emanuel Hernández‐Núñez, Víctor M. Vidal‐Martínez et al.
Scientific Reports
Advanced Chemical Sensor Technologies
article

Solid-phase microextraction of sweat components of patients positive for Sars-Cov-2 for identification of possible biomarkers

Pilar Granja-Pérez, Lilia C. Soler-Jiménez, Emanuel Hernández‐Núñez, Víctor M. Vidal‐Martínez, Juan Vázquez-Martínez, David I. Hernández-Mena, Juan Manuel Mancilla-Tapia, Héctor A. Peniche‐Pavía
article en

Abstract

Metabolomics is gaining consideration as a viable approach to diseases detection and even shows promising results in COVID-19 diagnosis. This work extends the study of the relationship between extractable sweat compounds and COVID-19 positive patients. Sweat samples were collected from 426 patients (126 positives and 300 negatives) recruited at Merida and Progreso (Yucatán, México) health centers. The composition of sweat was analyzed with a solid phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS) method. The PLS-DA, with specificity and sensitivity percentages greater than 80%, revealed significant differences between the DI-SPME profiles of infected and non-infected patients. Six key peaks used in the classification model were annotated as undecanal, methyl palmitoleate, palmitic acid, methyl oleate, squalene, and methyl cerotate, based on NIST17 spectral matches (> 90%) and interpretation aided by retention index (RI) data. Palmitic acid and Methyl oleate signals were elevated in COVID-positive patients,while undecanal, methyl palmitoleate, squalene and methyl cerotate were detected in lower amounts in COVID-positive patients. The identified set of compounds may serve as potential biomarkers for COVID-19 disease, not only in serologic assessments but also in the development of non-invasive diagnostic approaches, such as sweat-based or volatilome-based testing, as well as for monitoring disease progression and patient recovery.

Scientific ReportsVol. 15(1)
Instituto Tecnológico Superior de Xalapa (MX), Instituto Tecnológico Superior de Irapuato (MX), Instituto de Pesca (BR), Autonomous University of Yucatán (MX), Universidad Kino (MX), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 72%
Advanced Chemical Sensor Technologies
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