Canonical discriminant analysis of cadmium content levels in unpolished rice using a portable near-infrared spectrometer.
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.
Kumagai
Masanori
M
Faculty of Engineering and Resource Science, Akita University, Tegata Gakuencho, Akita 010-8502, Japan. kumagai@arif.pref.akita.jp
Ohisa
Naganori
N
Amano
Toshio
T
Ogawa
Nobuaki
N
D002104:Cadmium / Q000032:analysis*; D016002:Discriminant Analysis; D005506:Food Contamination / Q000032:analysis / Q000331:legislation & jurisprudence; D007564:Japan; D012275:Oryza / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation
D002104:Cadmium