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
- ,
- ,
- ,
- 巻
- 6
- 号
- 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
- ID情報
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- DOI : 10.1016/S1881-8366(13)80020-1
- ISSN : 1881-8366
- CiNii Articles ID : 130003368114
- SCOPUS ID : 84880913741