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 AbstractHow to be a dioecious fig: Chemical mimicry between sexes matters only when both sexes flower synchronously    Next AbstractHighly Sensitive Room-Temperature Sensor Based on Nanostructured K(2)W(7)O(22) for Application in the Non-Invasive Diagnosis of Diabetes »

J Agric Food Chem


Title:Fabrication and optimization of a conducting polymer sensor array using stored grain model volatiles
Author(s):Hossain ME; Rahman GM; Freund MS; Jayas DS; White ND; Shafai C; Thomson DJ;
Address:"Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada"
Journal Title:J Agric Food Chem
Year:2012
Volume:20120312
Issue:11
Page Number:2863 - 2873
DOI: 10.1021/jf204631q
ISSN/ISBN:1520-5118 (Electronic) 0021-8561 (Linking)
Abstract:"During storage, grain can experience significant degradation in quality due to a variety of physical, chemical, and biological interactions. Most commonly, these losses are associated with insects or fungi. Continuous monitoring and an ability to differentiate between sources of spoilage are critical for rapid and effective intervention to minimize deterioration or losses. Therefore, there is a keen interest in developing a straightforward, cost-effective, and efficient method for monitoring of stored grain. Sensor arrays are currently used for classifying liquors, perfumes, and the quality of food products by mimicking the mammalian olfactory system. The use of this technology for monitoring of stored grain and identification of the source of spoilage is a new application, which has the potential for broad impact. The main focus of the work described herein is on the fabrication and optimization of a carbon black (CB) polymer sensor array to monitor stored grain model volatiles associated with insect secretions (benzene derivatives) and fungi (aliphatic hydrocarbon derivatives). Various methods of statistical analysis (RSD, PCA, LDA, t test) were used to select polymers for the array that were optimum for distinguishing between important compound classes (quinones, alcohols) and to minimize the sensitivity for other parameters such as humidity. The performance of the developed sensor array was satisfactory to demonstrate identification and separation of stored grain model volatiles at ambient conditions"
Keywords:"Animals Biosensing Techniques/instrumentation/*methods Edible Grain/chemistry/*microbiology/*parasitology Food Contamination/analysis *Food Storage Fungi/*metabolism Insecta/*metabolism Models, Biological Models, Statistical Polymers/chemistry Volatile Or;"
Notes:"MedlineHossain, Md Eftekhar Rahman, G M Aminur Freund, Michael S Jayas, Digvir S White, Noel D G Shafai, Cyrus Thomson, Douglas J eng Evaluation Study Research Support, Non-U.S. Gov't 2012/02/16 J Agric Food Chem. 2012 Mar 21; 60(11):2863-73. doi: 10.1021/jf204631q. Epub 2012 Mar 12"

 
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 10-11-2024