Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/50541
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dc.contributor.authorPornchai Rachtanapunen_US
dc.contributor.authorNantaporn Kumsuken_US
dc.contributor.authorKasame Thipoen_US
dc.contributor.authorPanicha Lorwatcharasupapornen_US
dc.date.accessioned2018-09-04T04:42:07Z-
dc.date.available2018-09-04T04:42:07Z-
dc.date.issued2010-09-01en_US
dc.identifier.issn01252526en_US
dc.identifier.other2-s2.0-78249278480en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78249278480&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/50541-
dc.description.abstractThe effect of moisture content on shelf life of pumpkin crackers in four types of packages [high density polyethylene (HDPE), oriented polypropylene (OPP), polyvinilidine chloride (PVDC) and metallized aluminum pouches] was investigated. Since using a sensory test for shelf life determination is costly, our model was developed to predict this quantity. Samples were placed in different percentages of relative humidity (35.5, 44.5, 65.1, 76.4 and 79%) to study their moisture adsorption behavior. The sorption isotherm curve was used to determine critical moisture content (Mc) and the water vapor transmission rate (WVTR) of the pouches was measured. The standard models (constant, linear, middle point, log and Guggenhein- Anderson-de Boer (GAB) model) were tested for shelf life prediction accuracy. The most suitable model for pumpkin crackers was the middle point model which had a discrepancy between the shelf life of the pumpkin crackers in the HDPE sensory test and the model of less than 8.7%.en_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectChemistryen_US
dc.subjectMaterials Scienceen_US
dc.subjectMathematicsen_US
dc.subjectPhysics and Astronomyen_US
dc.titlePrediction models for shelf life of pumpkin crackers in different packages based on its moisture contenten_US
dc.typeJournalen_US
article.title.sourcetitleChiang Mai Journal of Scienceen_US
article.volume37en_US
article.stream.affiliationsChiang Mai Universityen_US
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