Literature DB >> 14640458

Canonical discriminant analysis of cadmium content levels in unpolished rice using a portable near-infrared spectrometer.

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.

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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


  1 in total

1.  Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing.

Authors:  Weihong Zhou; Jingjing Zhang; Mengmeng Zou; Xiaoqing Liu; Xiaolong Du; Qian Wang; Yangyang Liu; Ying Liu; Jianlong Li
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-20       Impact factor: 4.223

  1 in total

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