[Quality analysis of olive oil and quantification detection of adulteration in olive oil by near-infrared spectrometry and chemometrics].
Guang Pu Xue Yu Guang Pu Fen Xi
; 30(4): 933-6, 2010 Apr.
Article
en Zh
| MEDLINE
| ID: mdl-20545134
ABSTRACT
Discriminant analysis was used to classify 20 olive oil samples based on their near-infrared (NIR) spectra. The samples were successfully classified into two categories which are consistent with extra virgin olive oil and ordinary olive oil defined in the products. The NIR spectra of olive-oil mixtures containing colza oil, corn oil, peanut oil, camellia oil, sunflower oil, and poppy seed oil were collected, respectively. The volume percent of adulterants ranged from 0 to 100%. The best spectrum bands for analysis were selected before developing partial least-squares (PLS) calibration models. The relative errors of prediction ranged from -5.67% to 5.61%. Results showed that the method combined with chemometrics methods and near-infrared spectrometry is simple, fast and credible for qualitative and quantitative analyses of olive oil samples.
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Bases de datos:
MEDLINE
Asunto principal:
Aceites de Plantas
/
Contaminación de Alimentos
/
Espectroscopía Infrarroja Corta
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Qualitative_research
Idioma:
Zh
Revista:
Guang Pu Xue Yu Guang Pu Fen Xi
Año:
2010
Tipo del documento:
Article
País de afiliación:
China