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

## TL;DR

This study investigates whether MOS gas sensors can detect hydrocarbon contamination on freshly harvested olives at different maturity stages, aiming to improve quality control in olive oil production.

## Contribution

The study evaluates the feasibility of using MOS sensors for non-invasive detection of mineral hydrocarbons on olives during different maturity stages.

## Key findings

- MOS sensors showed potential for detecting hydrocarbon contaminants on olives in controlled laboratory conditions.
- The study highlights the need for further research on multivariate analysis and field testing for industrial implementation.
- Results suggest MOS sensors could support rapid and cost-effective quality control in olive oil production.

## Abstract

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.