Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques

► Detection of food adulterations is a challenging analytical issue. ► Reflectance NIR spectroscopy was used to detect addition of barley to coffee. ► PLS regression was used for building quantitative models. ► D-optimal design was applied for building a representative training set. ► Prediction ability was evaluated on a completely external test set.