Kusumiyati Kusumiyati, Agus Arip Munawar, Andasuryani Andasuryani
The use of near-infrared spectroscopy (NIRS) to predict coffee bean quality has shown significant promise due to its high efficiency and precision. This study aimed to employ NIRS to estimate caffeine and chlorogenic acid (CGA) levels in coffee beans from two distinct geographical regions. While NIRS models are often tailored for specific products, expanding their applicability could enhance productivity. The study utilized multivariate analysis on 50 samples, comprising both Arabica and Robusta coffee varieties. Results for the caffeine prediction model included a coefficient of correlation in the calibration set (Rcal) of 0.85, root mean square error in the calibration set (RMSEC) of 0.30, coefficient of correlation in the cross-validation set (Rcv) of 0.82, root mean square error in the cross-validation set (RMSECV) of 0.31, and a ratio of prediction to deviation (RPD) of 2.21. For CGA, the model produced values of 0.88 (Rcal), 0.61 (RMSEC), 0.88 (Rcv), 0.65 (RMSECV), and 2.18 (RPD). Key wavelengths associated with caffeine and water were identified at 1122, 1452, 1682, and 1950 nm, while CGA showed strong correlations at 1415, 1718, and 1909 nm. The study concluded that the model’s accuracy was satisfactory, highlighting the potential of NIRS as a viable alternative to traditional laboratory methods for predicting caffeine and CGA levels in coffee beans. © 2025 The author(s).
Master Program of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang, 45363, Indonesia; Department of Agricultural Engineering, Faculty of Agriculture, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia; Department of Agricultural Engineering and Biosystem, Andalas University, Limau Manis, Padang, 25163, Indonesia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock