Monitoring odour of heated extra‐virgin olive oils from Arbequina and Manzanilla cultivars using an electronic nose

Abstract

It is known that fats and oils, when submitted to prolonged heat, are subjected to a series of chemical–physical modifications, generating changes in sensory and nutritional characteristics. The aim of the present research was to develop an accurate and repeatable method to predict appearance of undesired odour when extra‐virgin olive oils from Arbequina and Manzanilla are submitted to heating processes, using an electronic nose. Among the metal oxide sensor response (electronic nose) an odour index was performed. Emissions of several volatile organic compounds released during the process were analysed by SPME‐Gas chromatography. Linear discriminant analysis was applied on the sensor response; it was found that among eight sensors, four sensors were more specific for detecting release of volatile organic compounds during the heating process. The Mahalanobis distance method was adopted to create an odour index and was correlated with emissions of n‐pentanal, n‐hexanal, n‐heptanal and n‐nonanal. Data showed that the methodology accurately and rapidly predicted changes in odour pattern between cultivars.Practical applications: Changes in odour pattern of different cultivars of extra‐virgin olive oil subjected to heating processes can be performed quickly and easily by applying electronic nose. Appearance of undesired odour due to thermo‐oxidation can be detected applying an odour index based on the metal oxide sensors response. High correlations can be observed when linear regressions are applied to odour index and volatile compounds (VOCs) content. New markers of oxidation can be obtained applying this methodology. Electronic nose instruments are attractive for a number of significant features: the relatively fast assessment of headspace, a quantitative representation or signature of a gas and cheap sensors which can be easily integrated to quality control. The motivation of the present research was to incorporate metal oxide sensors in electronic nose as a useful tool to analyse the odour pattern and quality of different products.An odour index was performed using a metal oxide sensors signal. Linear regressions were performed with emissions of several volatile compounds, assessing content and odour index to predict appearance of undesired odour in extra‐virgin olive oil.