Abstract

Indonesia remains one of the world’s top coffee producers, with Robusta coffee (Coffea canephora) being the variety favored by most consumers. Owing to its prominence, numerous studies have highlighted caffeic acid, a polyphenolic compound in coffee extract that has been shown to demonstrate antidiabetic properties. The primary objective of this research is to measure the caffeic acid levels in Robusta coffee brews. To achieve the optimal conditions, a Box–Behnken Design was used to determine the most suitable setting for the independent variables, including acetonitrile, formic acid, and flow rate. The analytical method validation parameters assessed were linearity and range, selectivity, accuracy, and precision, limit of detection (LOD), and limit of quantification (LOQ). The optimized reversed-phase high-performance liquid chromatography system was methanol:acetonitrile:aqueous formic acid pH 2.9 (10:15:75 v/v/v), flow rate of 1.0 mL/min, column temperature of 27 °C, 10 µL injection volume, and wavelength detection at 326 nm. The method showed good specificity and selectivity (Rs ≥ 1.5), with linearity from 5.39 to 32.36 µg/mL (R2 = 0.9987). LOD and LOQ were found to be 0.08032 and 0.2434 µg/mL, respectively. The recovery percentage for the intra-day assay was 92.26%–102.94%, while the inter-day percentage yield achieved 94.89% to 102.96% (90%–107%). All of the intra-day and inter-day assays met the required relative standard deviation (RSD) ≤ 5.3%. The average caffeic acid in Robusta coffee brews was 0.772 ± 0.008 mg/g (RSD = 1.066%, n = 6).

Key words: Caffeic Acid, BBD, Response Surface Methodology, Validation, Determination of Content