Identification of the significant factors in food quality using global sensitivity analysis and the accept-and-reject algorithm. Part III: Application to the apple cold chain

Duret, Steven; Gwanpua, Sunny George; Hoang, Hong-Minh; Guillier, Laurent; Flick, Denis; Laguerre, Onrawee; Verlinden, Bert; Roeck, Ans De; Nicolaı̈, Bart

doi:10.1016/j.jfoodeng.2014.09.039

Cited by 11 publications

(3 citation statements)

References 26 publications

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“…Rather, the temperature heterogeneity caused by the airflow through the stacking pattern appears to be of more concern regarding fruit quality. Although firmness is one of the main quality parameters, background colour change during storage is even more influenced by the exposed temperatures during the CA storage (Duret et al, 2014). The combination of these two parameters would thus identify an even larger quality heterogeneity throughout the cool room due to the combination of the airflow and the applied temperature differentials.…”

Section: Evaluation Of Product Quality With the Frisbee Toolmentioning

confidence: 99%

A numerical evaluation of adaptive on-off cooling strategies for energy savings during long-term storage of apples

Gruyters

Verboven

Delele

et al. 2018

International Journal of Refrigeration

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The main energy costs of long-term apple storage are associated with cooling. Reducing these costs without compromising product quality may be possible with minor room temperature increases. This paper presents a transient CFD model to evaluate automatic on-off cooling control based on different temperature differentials (0.4, 0.5 and 0.7 °C around a setpoint). Effects on temperature uniformity, quality changes and energy consumption during long-term storage of apples were calculated. A model for apple firmness change kinetics was coupled to the CFD model and applied to calculate changes in

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Section: Evaluation Of Product Quality With the Frisbee Toolmentioning

confidence: 99%

A numerical evaluation of adaptive on-off cooling strategies for energy savings during long-term storage of apples

Gruyters

Verboven

Delele

et al. 2018

International Journal of Refrigeration

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“…Research has been conducted on how biological variability of fresh produce at harvest (Hertog et al, 2009;Joshi et al, 2018;Joshi et al, 2019;Hertog et al, 2004;Duret et al, 2015;Gwanpua et al, 2014;Hertog et al, 2007) and postharvest variability between shipments (Shoji et al, 2022;Joshi et al, 2019) affect the quality of fruits. The authors mostly showed how pre-harvest variability affects cultivar, color, and maturity age of fruits and vegetables.…”

Section: Introductionmentioning

confidence: 99%

Physics driven digital twins to quantify the impact of pre and postharvest variability on the end quality evolution of orange fruit

Onwude¹,

Bahrami²,

Shrivastava³

et al. 2022

Preprint

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Currently, there are differences in the quality loss between individual fruit upon arrival at retail. These differences in fruit quality stem from pre-harvest biological variability between individual fruit at harvest and postharvest variations in hygrothermal conditions between refrigerated shipments. The impact of these pre-harvest biological and postharvest variability on the final quality of each fruit that reaches the consumers remains largely uncharted. In this study, we addressed this knowledge gap by developing physics-based digital twins of orange fruit to unveil how pre-harvest and postharvest variability affect the final fruit quality upon arrival at retail. Markov chain Monte Carlo method was used to generate a realistic 'virtual' population of 1000 individual orange fruits at harvest. Afterwards, the impact of pre-harvest biological variability and variations in hygrothermal conditions between shipments on several orange quality metrics, including mass loss, fruit quality index (FQI), remaining shelf life (RSL), chilling injury severity (CI), total soluble solids (TSS), color, and Mediterranean fruit fly (MFF) mortality was quantified. Results showed that pre-harvest biological variability causes variations in mass loss of oranges at retail by up to 1.2%, FQI by up to 5% and RSL by more than 2 days. The postharvest variability between shipments causes high variations in mass loss of oranges at retail by up to 4%, FQI by more than 20%, RSL up to 3 days, and CI up to 5%. The study also revealed that compared to pre-harvest biological variability, postharvest variability between shipments could increase the variations in RSL of oranges at retail by 75%, FQI by 50%, and mass loss by ~10%. This work helps improve our understanding of the variability in the end fruit quality upon arrival at retail.

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“…More specifically, refrigeration accounts for 15% of the electricity consumed and the food cold chain represents 1% of CO 2 emission worldwide (Coulomb, ; James & James, ; Mattarolo, ). It might be seen interesting to increase food temperature to save energy (Anonymous), but because of accelerated product quality alteration caused by higher temperature (Duret et al., ; Duret, Guillier, Hoang, Flick, & Laguerre, ), the global cost due to food waste or safety issues may increase (Zanoni & Zavanella, ). Overemphasizing the importance of food safety could result in food waste and economic loss, whereas the opposite might cause serious health implications (Baranyi & Buss da Silva, ; Guillier et al., ).…”

Section: Introductionmentioning

confidence: 99%

Combining Quantitative Risk Assessment of Human Health, Food Waste, and Energy Consumption: The Next Step in the Development of the Food Cold Chain?

Duret¹,

Hoang²,

Derens-Bertheau³

et al. 2018

Risk Analysis

Self Cite

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The preservation of perishable food via refrigeration in the supply chain is essential to extend shelf life and provide consumers with safe food. However, electricity consumed in refrigeration processes has an economical and an environmental impact. This study focuses on the cold chain of cooked ham, including transport, cold room in supermarket, display cabinet, transport by consumer, and domestic refrigerator, and aims to predict the risk for human health associated with Listeria monocytogenes, the amount of food wasted due to the growth of spoilage bacteria, and the electrical consumption to maintain product temperature through the cold chain. A set of eight intervention actions were tested to evaluate their impact on the three criteria. Results show that the modification of the thermostat of the domestic refrigerator has a high impact on food safety and food waste and a limited impact on the electrical consumption. Inversely, the modification of the airflow rate in the display cabinet has a high impact on electrical consumption and a limited impact on food safety and food waste. A cost-benefit analysis approach and two multicriteria decision analysis methods were used to rank the intervention actions. These three methodologies show that setting the thermostat of the domestic refrigerator to 4°C presents the best compromise between the three criteria. The impact of decisionmaker preferences (criteria weight) and limitations of these three approaches are discussed. The approaches proposed by this study may be useful in decision making to evaluate global impact of intervention actions in issues involving conflicting outputs.

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Identification of the significant factors in food quality using global sensitivity analysis and the accept-and-reject algorithm. Part III: Application to the apple cold chain

Cited by 11 publications

References 26 publications

A numerical evaluation of adaptive on-off cooling strategies for energy savings during long-term storage of apples

A numerical evaluation of adaptive on-off cooling strategies for energy savings during long-term storage of apples

Physics driven digital twins to quantify the impact of pre and postharvest variability on the end quality evolution of orange fruit

Combining Quantitative Risk Assessment of Human Health, Food Waste, and Energy Consumption: The Next Step in the Development of the Food Cold Chain?

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