Design, calibration, and validation of an inline green coffee moisture estimation system using time-domain reflectometry

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dc.contributor.authorAnokye-Bempah, Laudia
dc.contributor.authorPhetpan, Kittisak
dc.contributor.authorSlaughter, David
dc.contributor.authorDonis-González, Irwin R.
dc.date.accessioned2026-08-06T10:41:10Z
dc.date.available2026-08-06T10:41:10Z
dc.date.issued2023-03-01
dc.description.abstractWet basis moisture content (MC<inf>wb</inf>) is an important quality parameter of green coffee as it affects the coffee's physical, chemical, and sensory characteristics. Accurate estimation of green coffee MC<inf>wb</inf> after dry hulling, long-term storage, and transportation is imperative to prevent quantitative and qualitative losses. Thus, this study aimed to design, develop, calibrate and validate a prototype inline system capable of accurately measuring the MC<inf>wb</inf> of green coffee beans, using a commercially available time-domain reflectometry (TDR) probe. The TDR probe was calibrated and validated with green coffee within a MC<inf>wb</inf> range of 9–21%. A calibration linear regression model correlating the TDR probe output (dielectric constant) to reference MC<inf>wb</inf> measurements obtained by a halogen moisture analyzer, yielded a high coefficient of correlation (R<sup>2</sup> = 0.99). Model validation yielded a high R<sup>2</sup>, and a low Root Mean Squared Error equal to 0.93, and 0.9% MC<inf>wb</inf>, subsequently. Results indicate that the TDR inline green coffee moisture estimation system has the potential to be applied in real-time, industrial-scale operations.
dc.identifier.citationJournal of Food Engineering, 341, 2023
dc.identifier.doi10.1016/j.jfoodeng.2022.111342
dc.identifier.issn02608774
dc.identifier.other2-s2.0-85141635281
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14341
dc.sourceJournal of Food Engineering
dc.subjectCalibration
dc.subjectMoisture estimation
dc.subjectTime-domain reflectometry
dc.subjectValidation
dc.titleDesign, calibration, and validation of an inline green coffee moisture estimation system using time-domain reflectometry
dc.typeArticle

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