Fabrication and optimization of a sensor array for incipient grain spoilage monitoring

dc.contributor.authorHossain, Md. Eftekhar
dc.contributor.authorodour volatile
dc.contributor.examiningcommitteeWhite, N.D.G.(Biosystems Engineering) Shafai, C.(Electrical and Computer Engineering)en
dc.contributor.supervisorJayas, D.S.(Biosystems Engineering) Freund, M.S.(Chemistry)en
dc.date.accessioned2010-09-10T21:25:14Z
dc.date.available2010-09-10T21:25:14Z
dc.date.issued2010-09-10T21:25:14Z
dc.degree.disciplineBiosystems Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractDuring storage of grain, there may have significant damage to its quality due to unfavorable physical and biological interactions and thus requires continuous monitoring. Therefore, an easy, cost-effective and environmentally friendly method is necessary for efficient monitoring of stored-grain. Arrays of sensors are being used for classifying liquors, perfumes, quality of food products mimicking mammalian olfactory systems. Monitoring of stored grain is a new application of sensor arrays. The main objective was to fabricate a carbon black polymer sensor array which can easily monitor incipient grain spoilage by detecting spoiling stored grain volatiles (benzene derivatives and aliphatic hydrocarbon derivatives) with minimum interference from relative humidity. Various aspects of a good sensor were analyzed using statistical analysis (RSD, LDA, PCA, t-test). The developed sensor array can identify red flour beetle-infected and uninfected wheat and fungal volatiles at ambient conditions as well as some stored grain conditions (MC 16%, RH 52%).en
dc.description.noteOctober 2010en
dc.format.extent2251640 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1993/4142
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectCB-polymeren
dc.subjectsensor
dc.subjectarray
dc.subjectincipient spoilage
dc.subjectodour
dc.titleFabrication and optimization of a sensor array for incipient grain spoilage monitoringen
dc.typemaster thesisen_US
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