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Dielectric spectroscopy measurements for moisture prediction in Vidalia onions

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dc.contributor.author McKeown, MS en
dc.contributor.author Trabelsi, S en
dc.contributor.author Tollner, EW en
dc.contributor.author Nelson, SO en
dc.date.accessioned 2014-06-06T06:51:43Z
dc.date.available 2014-06-06T06:51:43Z
dc.date.issued 2012 en
dc.identifier.issn 02608774 en
dc.identifier.uri http://dx.doi.org/10.1016/j.jfoodeng.2012.02.034 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/5651
dc.subject Dielectric constant en
dc.subject Dielectric loss factor en
dc.subject Dielectric properties en
dc.subject Moisture en
dc.subject Permittivity en
dc.subject Spectroscopy en
dc.subject Vidalia onion en
dc.subject.other Density-independent function en
dc.subject.other Dielectric loss factors en
dc.subject.other Frequency dependence en
dc.subject.other Georgia en
dc.subject.other Higher frequencies en
dc.subject.other Loss factor en
dc.subject.other Moisture dependence en
dc.subject.other Moisture range en
dc.subject.other Multiple frequency en
dc.subject.other Open-ended coaxial-line probe en
dc.subject.other Spectroscopy measurements en
dc.subject.other Vidalia onion en
dc.subject.other Dielectric properties en
dc.subject.other Moisture determination en
dc.subject.other Permittivity en
dc.subject.other Spectroscopy en
dc.subject.other Moisture en
dc.subject.other Allium cepa en
dc.subject.other Vidalia en
dc.title Dielectric spectroscopy measurements for moisture prediction in Vidalia onions en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.jfoodeng.2012.02.034 en
heal.publicationDate 2012 en
heal.abstract Microwave sensing offers an opportunity to determine nondestructively the amount of moisture in materials by sensing the dielectric properties of the material. Dielectric properties of Vidalia onions grown in southeastern Georgia were measured with an open-ended coaxial-line probe and network analyzer in the range from 200 MHz to 20 GHz. Frequency dependence and moisture dependence of dielectric properties were analyzed for moisture contents between 8% and 91%. Moisture content was linearly correlated with the dielectric constant at higher frequencies for the entire moisture range. A density-independent function that incorporates both the dielectric constant and loss factor was tested across multiple frequencies and moisture ranges. Use of this function enabled prediction of moisture content with high accuracy (R 2 = 0.99) up to 40% moisture content. © 2011 Elsevier Ltd. All rights reserved. en
heal.journalName Journal of Food Engineering en
dc.identifier.issue 3 en
dc.identifier.volume 111 en
dc.identifier.doi 10.1016/j.jfoodeng.2012.02.034 en
dc.identifier.spage 505 en
dc.identifier.epage 510 en


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