Volatile Organic Compounds as a Diagnostic Tool for Detecting Microbial Contamination in Fresh Agricultural Products: Mechanism of Action and Analytical Techniques

Author:

Ventura-Aguilar Rosa Isela1ORCID,Lucas-Bautista Jesús Armando2,Arévalo-Galarza Ma. de Lourdes3ORCID,Bosquez-Molina Elsa4

Affiliation:

1. CONAHCYT-Recursos Genéticos y Productividad, Colegio de Postgraduados, Campus Montecillo, Carretera Mexico-Texcoco Km. 36.5, Texcoco 56230, Mexico

2. Departamento de Investigación y Posgrado de Alimentos, Facultad de Química, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas, Santiago de Querétaro, Querétaro 76010, Mexico

3. Recursos Genéticos y Productividad-Fruticultura, Colegio de Postgraduados, Campus Montecillo, Carretera Mexico-Texcoco Km. 36.5, Texcoco 56230, Mexico

4. Departamento de Biotecnología, CBS Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco #186, Colonia Leyes de Reforma 1A Sección, Alcaldía Iztapalapa 09310, Mexico

Abstract

Volatile organic compounds (VOCs) are secondary metabolites emitted by all living carbon-based organisms. These VOCs are of great importance in the agricultural sector due to their use as biofungicides and biopesticides. In addition, they can also be used as indicators of microbial contamination. The latter has rarely been studied; however, such a role is very relevant because it allows the timely application of corrective treatments that avoid food waste, the development of toxins dangerous to humans, and the design of biosensors. Gas chromatography–mass spectrometry (GC-MS), electronic nose (e-nose), and proton transfer reaction mass spectrometry (PTR-MS) are some of the techniques used to detect VOCs in fruits and vegetables contaminated by microorganisms. Therefore, the objective of this work is to deepen our knowledge of VOCs emitted by microorganisms in terms of their use as an indicator of microbial contamination of fresh agricultural products, as well as the analytical techniques used for their detection.

Publisher

MDPI AG

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