TY - JOUR T1 - Identification of coffee leaves using FT-NIR spectroscopy and SIMCA. JF - Talanta Y1 - 2018 A1 - Mees, Corenthin A1 - Souard, Florence A1 - Delporte, Cedric A1 - Eric Deconinck A1 - Stoffelen, Piet A1 - Stévigny, Caroline A1 - Kauffmann, Jean-Michel A1 - De Braekeleer, Kris KW - Chemometrics KW - Coffee leaves KW - Fingerprints KW - FT-NIRS KW - SIMCA AB -

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.

VL - 177 M3 - 10.1016/j.talanta.2017.09.056 ER -