Evaluation of the moisture content of tapioca starch using near-infrared spectroscopy

dc.contributor.authorPhetpan, Kittisak
dc.contributor.authorSirisomboon, Panmanas
dc.date.accessioned2026-08-06T10:11:26Z
dc.date.available2026-08-06T10:11:26Z
dc.date.issued2015-03-25
dc.description.abstractThe purpose of this study was to develop a calibration model to evaluate the moisture content of tapioca starch using the near-infrared (NIR) spectral data in conjunction with partial least square (PLS) regression. The prediction ability was assessed using a separate prediction data set. Three groups of tapioca starch samples were used in this study: tapioca starch cake, dried tapioca starch and combined tapioca starch. The optimum model obtained from the baseline-offset spectra of dried tapioca starch samples at the outlet of the factory drying process provided a coefficient of determination (R<sup>2</sup>), standard error of prediction (SEP), bias and residual prediction deviation (RPD) of 0.974, 0.16%, -0.092% and 7.4, respectively. The NIR spectroscopy protocol developed in this study could be a rapid method for evaluation of the moisture content of the tapioca starch in factory laboratories. It indicated the possibility of real-time online monitoring and control of the tapioca starch cake feeder in the drying process. In addition, it was determined that there was a stronger infl uence of the NIR absorption of both water and starch on the prediction of moisture content of the model.
dc.identifier.citationJournal of Innovative Optical Health Sciences, 8(2), 2015
dc.identifier.doi10.1142/S1793545815500145
dc.identifier.issn17935458
dc.identifier.other2-s2.0-84928501345
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/6213
dc.sourceJournal of Innovative Optical Health Sciences
dc.subjectMoisture content
dc.subjectnear-infrared spectroscopy
dc.subjecttapioca starch
dc.titleEvaluation of the moisture content of tapioca starch using near-infrared spectroscopy
dc.typeArticle

Files

Collections