By Topic

Prediction of vitamin C using FTIR-ATR terahertz spectroscopy combined with interval partial least squares (iPLS) regression

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Suhandy, D. ; Grad. Sch. of Agric., Kyoto Univ., Kyoto, Japan ; Yulia, M. ; Ogawa, Y. ; Kondo, N.

In this study FTIR-ATR terahertz (THz) spectroscopy combined with interval PLS (iPLS) regression was used to measure concentration of vitamin C in aqueous solution. iPLS regression was used to select the efficient spectral regions and variables to develop calibration model. The performance of the iPLS model was then compared to that of full-spectrum PLS model. The result obtained by iPLS model with 5 PLS factors was superior than that of full-spectrum PLS model with 11 PLS factors when 7 spectral regions and 70 variables were selected. Prediction performance of vitamin C can be improved by using iPLS model with ratio prediction to deviation (RPD) value of 4.570. This work demonstrated that concentration of vitamin C in aqueous solution can be predicted by FTIR-ATR THz spectroscopy method, and iPLS regression method revealed its superiority in model calibration.

Published in:

System Integration (SII), 2011 IEEE/SICE International Symposium on

Date of Conference:

20-22 Dec. 2011