RT journal article
T1 Headspace gas chromatography with various sample preparation and chemometric approaches to improve discrimination of wild and feeding civet coffee
A1 Prajna, D.
A1 Barea Sepúlveda, Marta
A1 Pérez Calle, José Luis
A1 Suhandy, D.
A1 Setyaningsih, W.
A1 Palma Lovillo, Miguel
A2 Química Analítica
AB Civet coffee, or kopi luwak, has attracted significant attention within the coffeeindustry in certain regions due to its distinct flavor characteristics that arise from the digestiveprocesses of the civet. The ability to discriminate between wild and feeding civet coffee is ofmajor importance in upholding the industry’s established standards of quality and transparency.This study introduces an innovative method to differentiate between these two coffee types usingHeadspace Gas Chromatography-Mass Spectrometry (HS-GCMS) with advanced data analysisusing machine-learning techniques. This study encompasses seven samples collected fromvarious regions, all of which were subjected to analysis in both roasted and unroasted forms. Thedata analysis consisted of Principal Component Analysis (PCA) and Hierarchical ClusterAnalysis (HCA), which revealed clear trends that were mostly influenced by processing,indicating how roasting affects the chemical profiles of various coffee types. Furtherclassification was conducted using Support Vector Machine (SVM) and Random Forest (RF)machine learning algorithms. SVM exhibited notable accuracy at 90%, effectivelydiscriminating between wild and feeding civet coffee, whereas RF outperformed it with aremarkable 100% accuracy. This study contributes to the field of coffee characterization bypresenting a robust approach to discriminate between roasted and unroasted wild and feedingcivet coffee. This tool serves as a starting step for a valuable resource for both farmers andcustomers, as it promotes sustainable and ethical practices while retaining the distinct flavorcharacteristics of this exceptional specialty coffee.
PB Purpose-Led Publishing
SN 1755-1315
YR 2024
FD 2024
LK http://hdl.handle.net/10498/35533
UL http://hdl.handle.net/10498/35533
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-nov-2026