Non-Invasive NIR Spectroscopy for Precise Water Content Determination in Sumatran Coffee Beans

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Andasuryani, Agus Arip Munawar, Kusumiyati, Adrizal, Yusmanizar

2024 International Journal of Design and Nature and Ecodynamics Vol. 19 Issue 5 Article Cited by 2 SDG 6SDG 12SDG 17 Quartile

Abstract

The amount of water in roasted coffee beans can lead to fat oxidation, shortening their shelf life and affecting both the grinding procedure and the distribution of particle sizes in the coffee powder. In this work, the ability of NIR spectroscopy to ascertain the water content of Sumatran-roasted coffee beans will be evaluated non-invasively. The Thermo Nicolet Antaris TM II NIRS device collected NIR spectrum data for wavelengths between 1000 and 2500 nm, which has a high response to water content. The reference water content is calculated using the gravimetric method. Pre-processing techniques used to generate the calibration model include multiplicative scatter correction (MSC) to eliminate optical path differences, the Savitzky-Golay 9-point smoothing window, first-order derivative (SG-1stD) to smooth the spectra, and a combination of MSC and SG-1stD (MSC+SG-1stD). According to research findings, the calibration model employing the MSC+SG-1stD pre-processing techniques provides the most accurate prediction of the water content of Sumatran roasted coffee beans with Rp2 = 0.995 and RMSEP = 0.003%. This finding will significantly impact the coffee industry, guarantee high-quality roasted coffee beans, and increase competitiveness in international markets. This is due to the ability of the NIR spectroscopy method to provide water content results quickly compared to conventional methods that require a relatively long time to carry out measurements, even though it gives accurate results if done carefully and using well-calibrated equipment. Additionally, this study advances our understanding of how to use NIR spectroscopy to evaluate roasted coffee quality and extends its applicability to Sumatran coffee, which is renowned for its distinctive qualities. Copyright: ©2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license.

Affiliations

Agricultural Engineering Department, Andalas University, Padang, West Sumatera, 25163, Indonesia; Agricultural Engineering Department, Syiah Kuala University, Banda Aceh, 23111, Indonesia; Agronomy Department, Padjajaran University, Bandung, 45363, Indonesia; Animal Husbandry Department, Andalas University, Padang, West Sumatera, 25163, Indonesia

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