TY - JOUR 
A1 - Torres Sánchez, Roque
AU - Martínez Zafra, María Teresa
AU - Castillejo Montoya, Noelia
AU - Guillamón Frutos, Antonio
AU - Artés Hernández, Francisco de Asís
T1 - Real-time monitoring system for shelf life estimation of fruit and vegetables
Y1 - 2020
SN - 1424-8220
UR - http://hdl.handle.net/10317/11930
AB - The control of the main environmental factors that influence the quality of perishable products is one of the main challenges of the food industry. Temperature is the main factor affecting quality, but other factors like relative humidity and gas concentrations (mainly C2H4, O2 and CO2) also play an important role in maintaining the postharvest quality of horticultural products. For this reason, monitoring such environmental factors is a key procedure to assure quality throughout shelf life and evaluate losses. Therefore, in order to estimate the quality losses that a perishable product can suffer during storage and transportation, a real-time monitoring system has been developed. This system can be used in all post-harvest steps thanks to its Wi-Fi wireless communication architecture. Several laboratory trials were conducted, using lettuce as a model, to determine quality-rating scales during shelf life under different storage temperature conditions. As a result, a multiple non-linear regression (MNLR) model is proposed relating the temperature and the maximum shelf life. This proposed model would allow to predict the days the commodities will reduce their theoretical shelf-life when an improper temperature during storage or in-transit occurs. The system, developed as a sensor-based tool, has been tested during several land transportation trips around Europe.
KW - Ingeniería de Sistemas y Automática
KW - Cold-chain
KW - Wireless sensor networks
KW - Traceability
KW - Quality predictive modelling
KW - Postharvest
KW - Prevention of food losses
KW - 3309 Tecnología de Los Alimentos
KW - 3311.01 Tecnología de la Automatización
KW - 5102.01 Agricultura
LA - eng
PB - MDPI
ER -