par Mees, Corenthin 
;Souard, Florence ;Delporte, Cédric ;Deconinck, Eric;Stoffelen, Piet ;Stévigny, Caroline ;Kauffmann, Jean-Michel ;De Braekeleer, Kris
Référence Talanta, 177, page (4-11)
Publication Publié, 2018-01
;Souard, Florence ;Delporte, Cédric ;Deconinck, Eric;Stoffelen, Piet ;Stévigny, Caroline ;Kauffmann, Jean-Michel ;De Braekeleer, Kris Référence Talanta, 177, page (4-11)
Publication Publié, 2018-01
Article révisé par les pairs
| Résumé : | Abundant literature has been devoted to coffee beans (green or roasted) chemical description but relatively few studies have been devoted to coffee leaves. Given the fact that coffee leaves are used for food and medicinal consumption, it was of interest to develop a rapid screening method in order to identify coffee leaves taxa. Investigation by Fourier – Transform near infrared spectroscopy (FT-NIRS) was performed on nine Coffea taxa leaves harvested over one year in a tropical greenhouse of the Botanic Garden Meise (Belgium). The only process after leaves harvesting was an effective drying and a homogeneous leaves grinding. FT-NIRS with SIMCA analysis allowed to discriminate the spectral profiles across taxon, aging stage (mature and senescence coffee leaves) and harvest period. This study showed that it was possible (i) to classify the different taxa, (ii) to identify their aging stage and (iii) to identify the harvest period for the mature stage with a correct classification rate of 99%, 100% and 90%, respectively. |
