Limits...
Differential detection of potentially hazardous Fusarium species in wheat grains by an electronic nose.

Eifler J, Martinelli E, Santonico M, Capuano R, Schild D, Di Natale C - PLoS ONE (2011)

Bottom Line: Fusarium species are especially harmful pathogens due to their toxic metabolites.By using an electronic nose we were able to differentiate between infected and non-infected wheat grains in the post-harvest chain.Our electronic nose was capable of distinguishing between four wheat Fusaria species with an accuracy higher than 80%.

View Article: PubMed Central - PubMed

Affiliation: Department of Crop Sciences, Georg-August-Universität Göttingen, Göttingen, Germany.

ABSTRACT
Fungal infestation on wheat is an increasingly grave nutritional problem in many countries worldwide. Fusarium species are especially harmful pathogens due to their toxic metabolites. In this work we studied volatile compounds released by F. cerealis, F. graminearum, F. culmorum and F. redolens using SPME-GC/MS. By using an electronic nose we were able to differentiate between infected and non-infected wheat grains in the post-harvest chain. Our electronic nose was capable of distinguishing between four wheat Fusaria species with an accuracy higher than 80%.

Show MeSH

Related in: MedlinePlus

Temperature-dependency of abundancies.Comparison of total volatile abundances of four Fusaria species and controls as obtained from the GC/MS measurements taken at two different sampling temperatures.
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3111488&req=5

pone-0021026-g003: Temperature-dependency of abundancies.Comparison of total volatile abundances of four Fusaria species and controls as obtained from the GC/MS measurements taken at two different sampling temperatures.

Mentions: The total amount of volatiles found in our GC/MS analysis clearly increased with increasing sampling temperature. Samples infected at 70°C emitted approximately 5-fold more volatiles than at 30°C, which expectedly led to a larger variance. In control samples the corresponding increase was just 60% (Figure 3).


Differential detection of potentially hazardous Fusarium species in wheat grains by an electronic nose.

Eifler J, Martinelli E, Santonico M, Capuano R, Schild D, Di Natale C - PLoS ONE (2011)

Temperature-dependency of abundancies.Comparison of total volatile abundances of four Fusaria species and controls as obtained from the GC/MS measurements taken at two different sampling temperatures.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3111488&req=5

pone-0021026-g003: Temperature-dependency of abundancies.Comparison of total volatile abundances of four Fusaria species and controls as obtained from the GC/MS measurements taken at two different sampling temperatures.
Mentions: The total amount of volatiles found in our GC/MS analysis clearly increased with increasing sampling temperature. Samples infected at 70°C emitted approximately 5-fold more volatiles than at 30°C, which expectedly led to a larger variance. In control samples the corresponding increase was just 60% (Figure 3).

Bottom Line: Fusarium species are especially harmful pathogens due to their toxic metabolites.By using an electronic nose we were able to differentiate between infected and non-infected wheat grains in the post-harvest chain.Our electronic nose was capable of distinguishing between four wheat Fusaria species with an accuracy higher than 80%.

View Article: PubMed Central - PubMed

Affiliation: Department of Crop Sciences, Georg-August-Universität Göttingen, Göttingen, Germany.

ABSTRACT
Fungal infestation on wheat is an increasingly grave nutritional problem in many countries worldwide. Fusarium species are especially harmful pathogens due to their toxic metabolites. In this work we studied volatile compounds released by F. cerealis, F. graminearum, F. culmorum and F. redolens using SPME-GC/MS. By using an electronic nose we were able to differentiate between infected and non-infected wheat grains in the post-harvest chain. Our electronic nose was capable of distinguishing between four wheat Fusaria species with an accuracy higher than 80%.

Show MeSH
Related in: MedlinePlus