論文

査読有り
2013年

Prediction of L-ascorbic acid using FTIR-ATR terahertz spectroscopy combined with interval partial least squares (iPLS) regression

Engineering in Agriculture, Environment and Food
  • Diding Suhandy
  • ,
  • Meinilwita Yulia
  • ,
  • Yuichi Ogawa
  • ,
  • Naoshi Kondo

6
3
開始ページ
111
終了ページ
117
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1016/S1881-8366(13)80020-1
出版者・発行元
Elsevier B.V.

In this study iPLS regression was used to select the efficient spectral regions and variables to develop a calibration model for L-ascorbic acid (L-AA) determination using FTIR-ATR terahertz (THz) spectroscopy. The objectives of using iPLS were to improve the prediction performance of L-AA determination and to show mapping of contribution of high and low frequency in determining L-AA. The result obtained by iPLS model with 5 PLS factors was superior than that of full-spectrum PLS model with 10 PLS factors when 7 spectral regions and 70 variables were selected. Prediction performance of L-AA can be improved by using iPLS model with higher ratio prediction to deviation (RPD) value.

リンク情報
DOI
https://doi.org/10.1016/S1881-8366(13)80020-1
CiNii Articles
http://ci.nii.ac.jp/naid/130003368114
ID情報
  • DOI : 10.1016/S1881-8366(13)80020-1
  • ISSN : 1881-8366
  • CiNii Articles ID : 130003368114
  • SCOPUS ID : 84880913741

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