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采后贮藏模拟×Brix值测量×
领域园艺学园艺学
方法族Process / pipelineProcess / pipeline
起源年份20011874
提出者Luc Tijskens and Bart NicolaïCarl Zeiss
类型computational modeling pipelineoptical measurement pipeline
开创性文献Tijskens, 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 ↗
别名shelf life prediction, storage modeling, quality decay simulationsoluble solids measurement, sugar content analysis, refractometry
相关44
摘要Postharvest 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.
ScholarGate数据集
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  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Postharvest Storage Simulation · Brix Measurement. 于 2026-06-19 检索自 https://scholargate.app/zh/compare