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Postharvest Storage Simulation×Brixi mõõtmine×
ValdkondAiandusAiandus
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta20011874
LoojaLuc Tijskens and Bart NicolaïCarl Zeiss
Tüüpcomputational modeling pipelineoptical measurement pipeline
AlgallikasTijskens, L. M., & Polderdijk, J. J. (2001). A generic model for keeping quality of vegetable produce during storage and distribution. Postharvest Biology and Technology, 23(1), 13–25. link ↗AOAC International. (2005). Official Methods of Analysis of AOAC International (18th ed.). AOAC International. link ↗
Rööpnimetusedshelf life prediction, storage modeling, quality decay simulationsoluble solids measurement, sugar content analysis, refractometry
Seotud44
KokkuvõtePostharvest storage simulation uses computational models to predict fruit and vegetable quality degradation during storage and distribution under variable temperature and humidity conditions. Pioneered by Tijskens and Nicolaï in 2001, these mechanistic and empirical models enable logistics optimization, reduce food waste, and improve supply chain transparency. They are integrated into decision support systems for commercial packinghouses and research facilities.Brix measurement quantifies the dissolved solids (primarily sugars) in fruit juice using refractometry, a non-destructive optical technique. Introduced by Carl Zeiss in the 19th century and standardized by AOAC, it is the universal industry standard for assessing fruit ripeness and quality in horticulture and postharvest processing.
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ScholarGateVõrdle meetodeid: Postharvest Storage Simulation · Brix Measurement. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare