Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Medición de Brix× | Simulación de Almacenamiento Postcosecha× | |
|---|---|---|
| Campo | Horticultura | Horticultura |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1874 | 2001 |
| Autor original≠ | Carl Zeiss | Luc Tijskens and Bart Nicolaï |
| Tipo≠ | optical measurement pipeline | computational modeling pipeline |
| Fuente seminal≠ | AOAC International. (2005). Official Methods of Analysis of AOAC International (18th ed.). AOAC International. link ↗ | 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 ↗ |
| Alias | soluble solids measurement, sugar content analysis, refractometry | shelf life prediction, storage modeling, quality decay simulation |
| Relacionados | 4 | 4 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
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