Analytical Sciences

Canonical Discriminant Analysis of Cadmium Content Levels in Unpolished Rice Using a Portable Near-Infrared Spectrometer

Masanori KUMAGAI,*^,**  Naganori OHISA,** Toshio AMANO,*** and Nobuaki OGAWA*

*Faculty of Engineering and Resource Science, Akita University, Tegata Gakuencho, Akita 010-8502, Japan
**Akita Research Institute of Food and Brewing, Arayamachi, Akita 010-1623, Japan
***OPT Research Inc., Akasaka, Minato-ku, Tokyo 107-0052, Japan

Near-infrared analysis (NIRA) was applied to discriminate and determine the cadmium content levels of unpolished rice using canonical discriminant analysis (CDA). The overall correct classification rate was 85.2% for 318 NIR spectra, repeated three times for 106 samples. After a further improvement through decreased misclassification rates, NIRA could be useful as a rapid, nondestructive and convenient analytical method for primary screening and detecting of cadmiumpolluted rice.

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