Detection of adulteration of tapioca starch with dolomite by near infrared hyperspectral imaging

dc.contributor.authorKhamsopha, Duangkamolrat
dc.contributor.authorTeerachaichayut, Sontisuk
dc.date.accessioned2026-08-06T10:27:01Z
dc.date.available2026-08-06T10:27:01Z
dc.date.issued2020-01-01
dc.description.abstractTapioca starch adulterated with dolomite is sold in markets, but this adulteration cannot be identified by normal visual inspection. Near infrared (NIR) hyperspectral imaging has been successfully used as a non-destructive method of identifying various characteristics of food, therefore it was tested to identify dolomite adulteration. Adulterated tapioca starch samples were prepared by adding dolomite in the range of 0.5-100% (wt/wt). Samples (N=400) of pure tapioca starch (0) and adulterated tapioca starch (1) were divided into calibration set (N=300) and a prediction set (N=100). All samples were scanned using NIR hyperspectral imaging (935-1720 nm) and spectra were pre-processed using Savitzky-Golay first derivative differentiation pretreatment in order to obtain the optimal conditions for establishing a classification model. Partial least squares-discriminant analysis was carried out to evaluate the accuracy of classification tapioca starch adulterated with dolomite. The results showed the total accuracy of prediction for classification was 100%. Therefore, NIR hyperspectral imaging was demonstrated to have a potential for use in detecting adulteration of tapioca starch with dolomite.
dc.identifier.citationKey Engineering Materials, 862 KEM, 46-50, 2020
dc.identifier.doi10.4028/www.scientific.net/KEM.862.46
dc.identifier.issn10139826
dc.identifier.other2-s2.0-85091662743
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/10526
dc.sourceKey Engineering Materials
dc.subjectCalibration
dc.subjectClassification
dc.subjectModel
dc.subjectNondestructive
dc.subjectPrediction
dc.titleDetection of adulteration of tapioca starch with dolomite by near infrared hyperspectral imaging
dc.typeConference Paper

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