Sustainable food cold chain logistics: From microenvironmental monitoring to global impact
- PMID: 35904269
- DOI: 10.1111/1541-4337.13014
Sustainable food cold chain logistics: From microenvironmental monitoring to global impact
Abstract
Food cold chain logistics (FCCL) is a systematic engineering process involving the use of a low-temperature environment to maintain the quality and safety of perishable food and reduce food loss and waste (FLW). From a mechanism perspective, FCCL must balance resource costs for a required level of food quality and safety with the costs of greenhouse gas (GHG) emissions. In the context of global warming, the sustainability trade-off between FLW and environmental impact has recently become an important topic in research on efficient, green FCCL. This is mainly reflected in technological innovation, management optimization, and policy responses. With a focus on three levels (micro, meso, macro), this review analyzes current research areas and the gaps and challenges of FCCL in microenvironmental monitoring, life cycle assessment (LCA), and global impact. Future trends pertaining to FCCL in technology, management, and industry and sustainable development are also summarized. Future trends involving sustainable FCCL must be intelligent, systematic, and low carbon. Industry empowerment through next-generation information technologies (e.g., IoT, AI, big data, blockchain) will promote the multidimensional perception, real-time information transmission, and sustainable control of microenvironmental monitoring, as well as support LCA management transformation from fragmentation to system integration. From a macro level, due to the serious global loss of perishable food, the FCCL scale demand is growing greatly, causing a huge environmental burden. Global cooperation, low-carbon consensus, and appropriate policies will become the basis for promoting sustainable FCCL development.
Keywords: environmental monitoring technology; food cold chain logistics; food loss and waste; greenhouse gas; life cycle assessment; sustainability.
© 2022 Institute of Food Technologists®.
References
REFERENCES
-
- Abdella, A., Brecht, J. K., & Uysal, I. (2021). Statistical and temporal analysis of a novel multivariate time series data for food engineering. Journal of Food Engineering, 298, 110477. https://doi.org/10.1016/j.jfoodeng.2021.110477
-
- Adekomaya, O., Jamiru, T., Sadiku, R., & Huan, Z. (2016). Sustaining the shelf life of fresh food in cold chain - A burden on the environment. Alexandria Engineering Journal, 55(2), 1359-1365. https://doi.org/10.1016/j.aej.2016.03.024
-
- Afreen, H., & Bajwa, I. S. (2021). An IoT-based real-time intelligent monitoring and notification system of cold storage. IEEE Access, 9, 38236-38253. https://doi.org/10.1109/ACCESS.2021.3056672
-
- Ajani, C. K., Zhu, Z., & Sun, D.-W. (2021). Recent advances in multiscale CFD modelling of cooling processes and systems for the agrifood industry. Critical Reviews in food Science and Nutrition, 61(15), 2455-2470. https://doi.org/10.1080/10408398.2020.1809992
-
- Amador, C., Emond, J. P., & Nunes, M. C. D. N. (2009). Application of RFID technologies in the temperature mapping of the pineapple supply chain. Sensing and Instrumentation for Food Quality and Safety, 3(1), 26-33. https://doi.org/10.1007/s11694-009-9072-6
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