Simple analytical method using ultraviolet spectral dataset and chemometrics for the authentication of Indonesian specialty ground roasted coffee with different botanical and geographical indications

The possible application of a simple analytical method based on a UV (ultraviolet) spectral dataset coupled with SIMCA (soft independent modeling of class analogy) for authentication of Indonesian specialty ground roasted coffee with different botanical and geographical indications (GIs) was demonstrated. Three types of Indonesian specialty ground roasted coffee were used: GIs arabica coffee from Gayo Aceh (96 samples), GIs liberica coffee from Meranti-Riau (119 samples), and GIs robusta coffee from Lampung (150 samples) with 1 g weight of each sample. All samples were extracted using hot distilled water and 3 mL aqueous filtered samples were pipetted into a 10 mm quartz cell. Original UV spectral datasets were recorded in the range of 190-399 nm. The pre-processed spectral dataset was generated using three simultaneous different preprocessing techniques: moving average smoothing with 11 segments, standard normal vari-ate (SNV), and Savitzky-Golay (SG) first derivative with win-dow size and polynomial order value of 11 and 2. The su-pervised classification based on the SIMCA method was ap-plied for preprocessed selected spectral data (250-399 nm). The PCA data showed that GIs coffee with different botani-cal and geographical indications can be well separated. The SIMCA classification was accepted with 100 % of correct clas-sification (100 % CC). This dataset demonstrated the poten-tial use of UV spectroscopy with chemometrics to perform simple and affordable authentication of Indonesian specialty ground roasted coffee with different botanical and geograph-ical indications (GIs).(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Automated summary

This study demonstrated the possible application of a simple analytical method based on UV spectral dataset and SIMCA for authenticating Indonesian specialty ground roasted coffee with different botanical and geographical indications.