| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7685387 | Talanta | 2012 | 5 Pages |
Abstract
⺠Detection of food adulterations is a challenging analytical issue. ⺠Reflectance NIR spectroscopy was used to detect addition of barley to coffee. ⺠PLS regression was used for building quantitative models. ⺠D-optimal design was applied for building a representative training set. ⺠Prediction ability was evaluated on a completely external test set.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Heshmatollah Ebrahimi-Najafabadi, Riccardo Leardi, Paolo Oliveri, Maria Chiara Casolino, Mehdi Jalali-Heravi, Silvia Lanteri,