Comparar métodos

	Simulación de Almacenamiento Postcosecha	Medición de Brix
Campo	Horticultura	Horticultura
Familia	Process / pipeline	Process / pipeline
Año de origen	2001	1874
Autor original	Luc Tijskens and Bart Nicolaï	Carl Zeiss
Tipo	computational modeling pipeline	optical measurement pipeline
Fuente seminal	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.	AOAC International. (2005). Official Methods of Analysis of AOAC International (18th ed.). AOAC International.
Alias	shelf life prediction, storage modeling, quality decay simulation	soluble solids measurement, sugar content analysis, refractometry
Relacionados	4	4
Resumen	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.