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Homepage / Early detection of fungal pathogens in fruits

Early detection of fungal pathogens in fruits


Recently Dr Angel Medina presented at the Postharvest workshop organised by (IRTA). He shared his research on early detection of fungal pathogens in fruits and vegetables using volatile organic compound (VOC) biomarkers.

Volatile organic compounds are compounds that easily become vapours or gases and can be sampled through breath or diet and are used to detect fungal pathogens. VOC biomarkers provide a non-invasive and quick approach to detect fungal pathogens.

Examples of where VOCs have been used for early identification of fungal and bacterial rots is in the spoilage of fruits and vegetables. Fungal infections in cherries and plums result in a 5-10% loss representing a cost of £5-7 million in wastage in this section of the fruit industry. Detection of disorders post storage and prior to market would enable infected fruit to be safely marketed early to reduce loss. There are many advantages to identifying biomarkers such as the detection of disorders post-harvest which would enable infected produce to be isolated resulting in a reduction in the spread of infection and thusly enabling better crop management.

The results indicate that the prototype validation for strawberries show the amount of biomarkers detected or emitted depend on a number of parameters such as the fruit origin, variety, size as well as punnet size and temperature. The data analysis of this is very challenging due to the number of parameters that affect the result.

The current progress in the research project is that there is a detection system which has been built to monitor latent fungal infection emitted by strawberries. The system built is fit for purpose in terms of sensitivity, speed and ease of use. It is to be further investigated as to whether other fruits and vegetables may be able to give more reliable information as analysing the data from strawberries has been challenging.

Alice Kirkaldy

Written By: Cranfield University

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