Previous Article in Journal
Electronic Tongue Technology Applied to the Analysis of Grapes and Wines: A Comprehensive Review from Its Origins
Previous Article in Special Issue
Triply Periodic Minimal Surfaces Mullite Structures for Humidity Detection
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Monitoring the Olfactory Evolution of Cold-Fermented Sourdough Using an Electronic Nose

by
Elisabetta Poeta
1,
Estefanía Núñez-Carmona
2,
Veronica Sberveglieri
2,3,
Jesús Lozano
4 and
Ramiro Sánchez
5,*
1
Department of Life Sciences, University of Modena and Reggio Emilia, Via J.F. Kennedy, 17/i, 42124 Reggio Emilia, RE, Italy
2
Institute of Bioscience and Bioresources (CNR-IBBR), National Research Council URT Reggio Emilia, Via J.F. Kennedy, 17/i, 42124 Reggio Emilia, RE, Italy
3
Nano Sensor System srl (NASYS), Via Alfonso Catalani, 9, 42124 Reggio Emilia, RE, Italy
4
Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain
5
Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), 06006 Badajoz, Spain
*
Author to whom correspondence should be addressed.
Chemosensors 2025, 13(5), 187; https://doi.org/10.3390/chemosensors13050187 (registering DOI)
Submission received: 11 April 2025 / Revised: 13 May 2025 / Accepted: 14 May 2025 / Published: 17 May 2025

Abstract

The quality of artisanal bread is strongly influenced by sourdough fermentation, where aroma development and microbial stability are key factors. This study evaluates the use of an electronic nose (E-nose) to monitor cold fermentation, integrating it with microbiological analysis and gas chromatography–mass spectrometry (SPME-GC-MS) to characterize the dough’s volatile profile. A clear correlation was observed between microbial dynamics, pH reduction (from 5.8 to 3.8), and the evolution of volatile compounds, with notable increases in acetic acid (up to 12.75%), ethanol (11.95%), and fruity esters such as isoamyl acetate (33.33%). Linear discriminant analysis (LDA) explained 96.31% of the total variance in a single component, successfully separating the fermentation stages. An artificial neural network discriminant analysis (ANNDA) model achieved 95% accuracy in the validation phase. These results confirm the E-nose’s ability to track biochemical transformations in real time and identify optimal fermentation points. This approach enhances quality control and sensory standardization in sourdough-based bakery products.
Keywords: dynamics of fermentation; nanotechnologies; quality optimization; volatile organic compounds; sensors dynamics of fermentation; nanotechnologies; quality optimization; volatile organic compounds; sensors
Graphical Abstract

Share and Cite

MDPI and ACS Style

Poeta, E.; Núñez-Carmona, E.; Sberveglieri, V.; Lozano, J.; Sánchez, R. Monitoring the Olfactory Evolution of Cold-Fermented Sourdough Using an Electronic Nose. Chemosensors 2025, 13, 187. https://doi.org/10.3390/chemosensors13050187

AMA Style

Poeta E, Núñez-Carmona E, Sberveglieri V, Lozano J, Sánchez R. Monitoring the Olfactory Evolution of Cold-Fermented Sourdough Using an Electronic Nose. Chemosensors. 2025; 13(5):187. https://doi.org/10.3390/chemosensors13050187

Chicago/Turabian Style

Poeta, Elisabetta, Estefanía Núñez-Carmona, Veronica Sberveglieri, Jesús Lozano, and Ramiro Sánchez. 2025. "Monitoring the Olfactory Evolution of Cold-Fermented Sourdough Using an Electronic Nose" Chemosensors 13, no. 5: 187. https://doi.org/10.3390/chemosensors13050187

APA Style

Poeta, E., Núñez-Carmona, E., Sberveglieri, V., Lozano, J., & Sánchez, R. (2025). Monitoring the Olfactory Evolution of Cold-Fermented Sourdough Using an Electronic Nose. Chemosensors, 13(5), 187. https://doi.org/10.3390/chemosensors13050187

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop