| Literature DB >> 14640458 |
Masanori Kumagai1, Naganori Ohisa, Toshio Amano, Nobuaki Ogawa.
Abstract
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 cadmium-polluted rice.Entities:
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Year: 2003 PMID: 14640458 DOI: 10.2116/analsci.19.1553
Source DB: PubMed Journal: Anal Sci ISSN: 0910-6340 Impact factor: 2.081