Feasibility Study of MOS Gas Sensors for Detecting Mineral Hydrocarbon Contaminants in Freshly Harvested Olives at Different Maturity Stages

The accidental contamination of olives by mineral hydrocarbons, such as diesel, motor lubricants, and hydraulic fluids from agricultural machinery, has become a growing concern in the olive oil industry. In response, European regulatory bodies are working on establishing new standards to address thi...

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Detalles Bibliográficos
Autores: Bonillo Martínez, David, Pachego Braga, Guilherme Felipe, Martínez Gila, Diego Manuel, Satorres Martínez, Silvia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Universidad de Murcia
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:dnet:ruja________::c8b954655362862e2ad18cee9d5c013a
Acceso en línea:https://doi.org/10.3390/s26030816
https://hdl.handle.net/10953/7779
Access Level:acceso abierto
Palabra clave:olive oil
MOSH
MOAH
gas sensors
330706
Descripción
Sumario:The accidental contamination of olives by mineral hydrocarbons, such as diesel, motor lubricants, and hydraulic fluids from agricultural machinery, has become a growing concern in the olive oil industry. In response, European regulatory bodies are working on establishing new standards to address this issue. This study explores the feasibility of using Metal Oxide Semiconductor (MOS) gas sensors as a non-invasive method for detecting such contaminants on freshly harvested olives across different maturity stages. By assessing the sensitivity and selectivity of MOS sensors, this research aims to identify hydrocarbons that may adhere to the olive surface during harvesting and processing. The study involves controlled laboratory contamination scenarios, with samples exposed to various hydrocarbons to evaluate the relative response of individual MOS sensors under reproducible conditions. Findings from this research may provide valuable insights into rapid and cost-effective detection systems, supporting quality control and regulatory compliance in olive oil production, and contributing to the safety and traceability of olive-derived products. As a feasibility study, the results provide a basis for future developments involving multivariate analysis, field-contaminated samples, and industrial implementation.