Statistical Analysis of Cold Chain Logistics Standards for Agricultural and Sideline Food in China

Ge Gao¹, Gongming Lan², Shipeng Gao¹, Ziyan Zhang¹, Jing Chen¹, Changlin Cheng¹, Xinxing Li³, Lin Chen⁴ and Bo Li^5,

¹College of Logistics, Beijing Wuzi University, Beijing 101149, China

²Alstom Sifang (Qingdao) Transportation Ltd, Shandong 266111, China

³College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

⁴China International Engineering Consulting Corporation, Beijing 100048, China

⁵Chinese Academy of Environmental Planning, State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Beijing, 100043, China

Cite this paper:
Ge Gao, Gongming Lan, Shipeng Gao, Ziyan Zhang, Jing Chen, Changlin Cheng, Xinxing Li, Lin Chen and Bo Li. Statistical Analysis of Cold Chain Logistics Standards for Agricultural and Sideline Food in China. Journal of Food and Nutrition Research. 2025; 13(1):43-52. doi: 10.12691/jfnr-13-1-5

Abstract

To understand the development status and standardization progress of cold chain logistics for agricultural and sideline food in China, we conducted a statistical analysis based on data from the Logistics Standard Catalog Manual (2023). The quantity, category, and content of the currently implemented cold chain logistics standards for agricultural and sideline products were examined. Despite the increasing number and variety of standards, issues remain, such as incomplete standard categories and significant differences in the number of standards issued for different categories. This study provides a comprehensive understanding of the current situation, offering valuable references for policymakers and helping enterprises to grasp standardization requirements.

Keywords:
Agricultural and sideline food Fruits and vegetables Cold chain logistics standards Statistical analysis

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References:

[1]	Next-generation immunization supply chains are needed to improve health outcomes. PATH, Gavi: The Vaccine Alliance, Bill & Melinda Gates foundation, John Snow Inc, and Village Reach; 2015.
[2]	Hongxia Zhao, Sheng Liu, Changqing Tian, Gang Yan ,Da Wang. An Overview of Current Status of Cold Chain in China. International Journal of Refrigeration. 2018(19): 197-208.
[3]	Zaffran M, Vandelaer J, Kristensen D, Melgaard B, Yadav P, Antwi-Agyei KO, et al. The imperative for stronger vaccine supply and logistics systems. Vaccine 2013; 31(suppl. 2).
[4]	Sabot O, Yadav P, Zaffran M. Maximizing every dose and dollar: the imperative of efficiency in vaccine delivery. Seattle (USA); 2011.
[5]	Village Reach. Keeping the cold chain cold vaccine supply chains: reaching the final 20 policy paper series. Seattle (USA); 2014.
[6]	Kenya National Bureau of Statistics and ICF Macro. Kenya demographic and health survey; 2014.
[7]	Lloyd J, Lydon P, Ouhichi R, Zaffran M. Reducing the loss of vaccines from accidental freezing in the cold chain: the experience of continuous temperature monitoring in Tunisia. Vaccine 2015; 33(7): 902–7.
[8]	Setia S, Mainzer H, Washington ML, Coil G, Snyder R, Weniger BG. Frequency and causes of vaccine wastage. Vaccine 2002; 20(7-8): 1148-56.
[9]	Techathawat S, Varinsathien P, Rasdjarmrearnsook A, Tharmaphornpilas P. Exposure to heat and freezing in the vaccine cold chain in Thailand. Vaccine 2007; 25(7): 1328-33.
[10]	Nelson CM, Wibisono H, Purwanto H, Mansyur I, Moniaga V, Widjaya A. Hepatitis B vaccine freezing in the Indonesian cold chain: evidence and solutions. Bull World Health Organ 2004; 82(2): 99-105.
[11]	Murhekar MV, Dutta S, Kapoor AN, Bitragunta S, Dodum R, Ghosh P, et al. Frequent exposure to suboptimal temperatures in vaccine cold-chain system in India: results of temperature monitoring in 10 states. Bull World Health Organ 2013; 91(February): 906-1013.
[12]	Chukwuma G, Okoye L, Ngwoke K, Esimone C. The potency of yellow fever vaccines sold in open markets in eastern Nigeria. J Bioanal Biomed 2013; 5(5): 133-7.
[13]	S.J. James, C. James. The food cold-chain and climate change. Food Research International 43 (2010), 1944-1956.
[14]	Greenpeace (2009). Cool technologies: Working without HFCs. <http://www.greenpeace.org/usa/assets/binaries/cool-technology-report-2009>.
[15]	Hall, G. V., D’Souza, R. M., & Kirk, M. D. (2002). Foodborne disease in the new millennium: Out of the frying pan and into the fire? The Medical Journal of Australia, 177, 614-618.
[16]	Kovats, R. S., Edwards, S., Hajat, S., Armstrong, B., Ebi, K. L., & Menne, B. (2004). The effect of temperature on food poisoning: A time-series analysis of salmonellosis in ten European countries. Epidemiology & Infection, 132, 443-453.
[17]	Le Pierrès, N., Stitou, D., & Mazet, N. (2007). New deep-freezing process using renewable low-grade heat: From the conceptual design to experimental results. Energy, 32, 600-608.
[18]	Legett, J. A., Peebles, R. W., Patoch, J. W., & Reinemann, D. J. (1997). USDA DMRY forage research center milking system improvements. Paper no. 973037. Presented at the ASAE annual international meeting, Minneapolis Convention Center Minneapolis. Minnesota August 10-14, 1997.
[19]	Zubeldia, B. B., Jiménez, M. N., Claros, M. T. V., Andrés, J. L. M., & Martin-Olmedo, P. Effectiveness of the cold chain control procedure in the retail sector in Southern Spain. Food Control, 2016(59), 614-618.
[20]	Amrat lal Basediya & D. V. K. Samuel & Vimala Beera. Evaporative cooling system for storage of fruits and vegetables - a review. J Food Sci Technol (May-June 2013) 50(3): 429-442.
[21]	Nodali Ndraha, Hsin-I. Hsiao, Jelena Vlajic, Min-Feng Yang, Hong-Ting Victor Lin. Time-temperature abuse in the food cold chain: Review of issues, challenges, and recommendations. Food Control 2018, 2(13): 157-165.
[22]	Abeyratne, S. A., & Monfared, R. P.. Blockchain ready manufacturing supply chain using distributed ledger. International Journal of Research in Engineering and Technology, 2016 (5), 1-6.
[23]	Zeng, W., Vorst, K., Brown, W., Marks, B. P., Jeong, S., Pérez-Rodríguez, F., & Ryser, E. T. 666. Growth of Escherichia coli O157:H7 and Listeria monocytogenes in packaged fresh-cut romaine mix at fluctuating temperatures during commercial transport, retail storage, and display. Journal of Food Protection, 2014(77), 197-206.
[24]	Accorsi, R., Bortolini, M., Baruffaldi, G., Pilati, F.,& Ferrari, E.. Internet-of-things paradigm in food supply chains control and management. Procedia Manufacturing, 2017(11), 889-895.
[25]	Xiao, X.,He, Q., Fu, Z., Xu, M., & Zhang, X. (2016). Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics. Food Control, 60, 656-666.
[26]	Spring. Singapore. Technical reference for cold chain management of vegetables. TR24: 2007: 13-27.
[27]	Zheng, Z., Xie, S., Dai, H.-N., & Wang, H.. Blockchain challenges and opportunities : A survey. International Journal of Web and Grid Services, 2016, 1-24.
[28]	Wu, D., Hou, S., Chen, J., Sun, Y., Ye, X., Liu, D., Meng, R., & Wang, Y. (2015). Developmentand characterization of an enzymatic time-temperature indicator (TTI) based on Aspergillus niger lipase. LWT - Food Science and Technology, 60, 1100-1104.
[29]	Shimoni, E., & Labuza, T. P. Modeling pathogen growth in meat products: Future challenges. Trends in Food Science and Technology, 2001(11), 394-402.
[30]	Moureh, J., Laguerre, O., Flick, D., & Commere, B.. Analysis of use of insulating pallet covers for shipping heat-sensitive foodstuffs in ambient conditions. Computers and Electronics in Agriculture, 2002(34), 89-109.