Technique Commodity Outcome Reference
APCI-MS Apple juice Correct GO classification
Accuracy: 94.2%		 [@345017]
FTIR ATR Coffee GO classification of Arabica coffee Accuracy: 100% [@345010]
FTIR ATR Olive oil Accuracy 100% when genetic analysis added [@344884]
FTIR Turmeric Unsuccessful at attributing GO [@345010]
FTIR Coffee GO classification of green coffee Accuracy: 100% [@345010]
FTIR Coffee GO classification of Arabica coffee Accuracy: 100% [@345010]
FTIR Olive oil Cluster samples according to GO [@344959]
FT-NIR Coffee GO classification of Arabica and Robusta coffee
Accuracy: >93%		 [@345010]
FT-NIR Coffee GO classification of Arabica coffee Accuracy: 100% [@345010]
HPLC Cocoa Bioactive compounds - “some studies showing more success than others” [@344854]
IR Honey “suitable for the evaluation of botanical and geographical origin of honey when combined with chemometric analysis” [@344977]
Instrumental neutron activation analysis Lemon juice Correct classification of origin in Argentina [@345017]
LC-MS Cocoa Bioactive compounds - “some studies showing more success than others” [@344854]
LC-MS Olive oil Good discrimination [@344848]
LC-MS Honey Good GO discrimination [@344848]
MIR Olive oil Classified samples to GO correctly [@344884]
NIR Saffron Pattern recognition for Iranian samples 100% [@345010]
1H-NMR Turmeric GO classification of saffron
Accuracy: 100%		 [@345010]
1H-NMR Saffron GO classification
Accuracy: 100%		 [@345010]
1H-NMR Sweet cherry juice Poor GO classification
Accuracy: 21% using principle component analysis, but >83.7% using SIMCA		 [@345017]
Particle-Induced X-ray Emission, FTIR and Accelerator MS – Radiocarbon Analysis (AMS-14C) Coffee Combined technologies illustrate how different cutting-edge techniques can synergistically determine GO [@344842]
PTR-MS Coffee GO classification of Arabica and Arabica/Robusta coffee mixtures
Accuracy: 69%		 [@345010]
Pyrolysis mass spectrometry Orange juice Separation of Brazilian and Israeli juice [@345017]
Raman spectroscopy Wine Accuracy = 76.6% [@345005]
Raman spectroscopy Honey Accuracy = 100% [@345005]
Raman spectroscopy Olive oil Accuracy = 86.6% [@344884]
Raman spectroscopy in combination with IRMS Olive oil Accuracy = 82% [@344884]
Raman spectroscopy in combination with IRMS Rice Identification error = 4.1% [@345005]