Journal of Innovative Optical Health Sciences, Volume. 8, Issue 2, 1550014(2015)
Evaluation of the moisture content of tapioca starch using near-infrared spectroscopy
The 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 (R2), 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 influence of the NIR absorption of both water and starch on the prediction of moisture content of the model.
Get Citation
Copy Citation Text
Kittisak Phetpan, Panmanas Sirisomboon. Evaluation of the moisture content of tapioca starch using near-infrared spectroscopy[J]. Journal of Innovative Optical Health Sciences, 2015, 8(2): 1550014
Received: Sep. 18, 2014
Accepted: Oct. 13, 2014
Published Online: Jan. 10, 2019
The Author Email: Sirisomboon Panmanas (kspanman@kmitl.ac.th)