Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractAn integrative clinical database and diagnostics platform for biomarker identification and analysis in ion mobility spectra of human exhaled air    Next Abstract[Electronic Shiazo waterpipes: a new source of indoor air pollutants] »

Fungal Genet Biol


Title:Fungal volatiles as indicators of food and feeds spoilage
Author(s):Schnurer J; Olsson J; Borjesson T;
Address:"Department of Microbiology, Swedish University of Agricultural Science, SLU, Uppsala, Sweden. Johan.Schnurer@mikrob.slu.se"
Journal Title:Fungal Genet Biol
Year:1999
Volume:27
Issue:2-Mar
Page Number:209 - 217
DOI: 10.1006/fgbi.1999.1139
ISSN/ISBN:1087-1845 (Print) 1087-1845 (Linking)
Abstract:"Fungal growth leads to spoilage of food and animal feeds and to formation of mycotoxins and potentially allergenic spores. Fungi produce volatile compounds, during both primary and secondary metabolism, which can be used for detection and identification. Fungal volatiles from mainly Aspergillus, Fusarium, and Penicillium have been characterized with gas chromatography, mass spectrometry, and sensory analysis. Common volatiles are 2-methyl-1-propanol, 3-methyl-1-butanol, 1-octen-3-ol, 3-octanone, 3-methylfuran, ethyl acetate, and the malodorous 2-methyl-isoborneol and geosmin. Volatile sesquiterpenes can be used for taxonomic classification and species identification in Penicillium, as well as to indicate mycotoxin formation in Fusarium and Aspergillus. Developments in sensor technology have led to the construction of 'electronic noses' (volatile compound mappers). Exposure of different nonspecific sensors to volatile compounds produces characteristic electrical signals. These are collected by a computer and processed by multivariate statistical methods or in an artificial neural network (ANN). Such systems can grade cereal grain with regard to presence of molds as efficiently as sensory panels evaluating grain odor. Volatile compound mapping can also be used to predict levels of ergosterol and fungal colony-forming units in grain. Further developments should make it possible to detect individual fungal species as well as the degree of mycotoxin contamination of food and animal feeds"
Keywords:Animal Feed/*microbiology Biomarkers/analysis Biosensing Techniques/methods *Food Microbiology Fungi/*growth & development/metabolism Mycotoxins/*analysis Organic Chemicals/analysis Volatilization;
Notes:"MedlineSchnurer, J Olsson, J Borjesson, T eng Research Support, Non-U.S. Gov't Review 1999/08/12 Fungal Genet Biol. 1999 Jul-Aug; 27(2-3):209-17. doi: 10.1006/fgbi.1999.1139"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 22-09-2024