Fabrication and optimization of a conducting polymer sensor array using stored grain model volatiles

Journal of Agricultural and Food Chemistry
Md Eftekhar HossainDouglas J Thomson

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 betwee...Continue Reading

References

May 1, 1989·International Journal of Food Microbiology·D TumaD Abramson
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Mar 28, 1995·Proceedings of the National Academy of Sciences of the United States of America·M S Freund, N S Lewis
Sep 30, 2004·Journal of Agricultural and Food Chemistry·Maria VinaixaVicent Sanchis
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Citations

Aug 14, 2012·Journal of Agricultural and Food Chemistry·Radislav A PotyrailoWilliam Morris
Sep 26, 2012·Journal of Agricultural and Food Chemistry·Márcia W C C GreenshieldsIvo A Hümmelgen

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