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<p>The effects of variation in product respiration, supply chain temperature, gas diffusion, product quantity, and storage volume on gas control in fresh produce storage remain unexplored. This study aimed to evaluate the impact of such parameters on O<sub>2</sub> control, using broccoli as a case study under dynamic temperature profiles ranging from 1&#xa0;°C to 20&#xa0;°C. Sensitivity analysis of each parameter was performed using Monte Carlo simulations and one-factor-at-a-time method and the results were experimentally validated. The blower ON frequency (BOF) needed for O<sub>2</sub> control exhibited a mean of 47.8 ± 3.7&#xa0;s, illustrating variability due to model parameter uncertainties. The product weight and respiration rate were the most influential parameters affecting the BOF. These parameters collectively accounted for over 80% of the BOF variability, highlighting the importance of prioritizing and incorporating non-linear relationships and parameter interactions for model robustness. Temperature variations affected BOF and respiration rates while maintaining overall O<sub>2</sub> and CO<sub>2</sub> concentrations stable over a longer period. However, O<sub>2</sub> and CO<sub>2</sub> concentrations exhibited temporary fluctuations because, at higher temperatures, the blower operated for longer durations compared to lower temperatures, leading to more pronounced O<sub>2</sub> fluctuations. The results of the validation experiment, using a 70-litre box containing 16&#xa0;kg of broccoli, confirmed the stability of the model in effectively handling the parameters variation while maintaining the O<sub>2</sub> concentration at 3.5 ± 0.5% and CO<sub>2</sub> at 15.3 ± 1% during storage and transport of the fresh produce.</p>

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Evaluating the impact of parameter variability on O2 control and model robustness in modified atmosphere storage for fresh produce

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月12日

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  • Yogesh B. Kalnar,
  • Cornelia Weltzien,
  • Pramod V. Mahajan

摘要

The effects of variation in product respiration, supply chain temperature, gas diffusion, product quantity, and storage volume on gas control in fresh produce storage remain unexplored. This study aimed to evaluate the impact of such parameters on O2 control, using broccoli as a case study under dynamic temperature profiles ranging from 1 °C to 20 °C. Sensitivity analysis of each parameter was performed using Monte Carlo simulations and one-factor-at-a-time method and the results were experimentally validated. The blower ON frequency (BOF) needed for O2 control exhibited a mean of 47.8 ± 3.7 s, illustrating variability due to model parameter uncertainties. The product weight and respiration rate were the most influential parameters affecting the BOF. These parameters collectively accounted for over 80% of the BOF variability, highlighting the importance of prioritizing and incorporating non-linear relationships and parameter interactions for model robustness. Temperature variations affected BOF and respiration rates while maintaining overall O2 and CO2 concentrations stable over a longer period. However, O2 and CO2 concentrations exhibited temporary fluctuations because, at higher temperatures, the blower operated for longer durations compared to lower temperatures, leading to more pronounced O2 fluctuations. The results of the validation experiment, using a 70-litre box containing 16 kg of broccoli, confirmed the stability of the model in effectively handling the parameters variation while maintaining the O2 concentration at 3.5 ± 0.5% and CO2 at 15.3 ± 1% during storage and transport of the fresh produce.