| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7685677 | Talanta | 2012 | 5 Pages |
Abstract
⺠The work described here aims to determine the potential of low-resolution Raman spectroscopy for the discrimination of olives before the oil processing stage in order to discriminate healthy and diseased olives. ⺠Low-resolution Raman spectroscopy was applied together with multivariate procedures to achieve this aim. ⺠Supervised classification methods were then applied. ⺠The best results were obtained using the KNN method, with prediction abilities of 100% for 'sound' and 97% for 'ground' in an independent validation set.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Elena Guzmán, Vincent Baeten, Juan Antonio Fernández Pierna, José A. GarcÃa-Mesa,