Application of blockchain technology for beverage safety in intelligent ready-made beverage machines

Autores

  • Bifeng XU Lu’an Soyea Electrical Manufactring CO., LTD., Lu’an, Anhui, China.
  • Chaoxue CHEN Lu’an Soyea Electrical Manufactring CO., LTD., Lu’an, Anhui, China.
  • Chenghai LI Lu’an Soyea Electrical Manufactring CO., LTD., Lu’an, Anhui, China.
  • Lifeng SHAO West Anhui University, Lu’an, Anhui, China.
  • Jiao YU West Anhui University, Lu’an, Anhui, China. https://orcid.org/0000-0002-8999-5213

DOI:

https://doi.org/10.5327/fst.000323

Palavras-chave:

Blockchain technology, Hash consistency, Beverage machines

Resumo

In recent years, beverage machines are popular and have a wide market, but the current beverage machines have insecurity factors such as low efficiency of source control, the possibility of data being tampered with, lack of intelligent warning and forced termination, and are not suitable for intelligent vending of various foods and beverages, so the market is in urgent need of a beverage machine with a secure traceability system. This paper proposes a hash consistency scheme of blockchain technology to address such problems, which can well solve the consistency problem, effectively prevent information from being tampered with, make source information transparent and have strong security, and design experiments for the anti-tampering function of blockchain, and the experimental results show that the application of blockchain technology in beverage machines can greatly improve the safety of beverages.

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Referências

Mostafa, Heba Sayed. "Assessment of the Caffeine-Containing Beverages Available in the Local Markets, and Development of a Real Energy Drink Based on the Date Fruit." Food Science and Technology 42 (2022). http://dx.doi.org/10.1590/fst.51820.

Pinto, Daiane dos Santos, Sandra dos Santos Silva, Raimundo Wilane de Figueiredo, Fernando Lima de Menezes, Janevane Silva de Castro, Antônia Torres Ávila Pimenta, João Evangelista de Ávila dos Santos, Ronaldo Ferreira do Nascimento, and Socorro Vanesca Frota Gaban. "Production of Healthy Mixed Vegetable Beverage: Antioxidant Capacity, Physicochemical and Sensorial Properties." Food Science and Technology 42 (2022). http://dx.doi.org/10.1590/fst.28121.

Ma, Xueting, Jiean Liao, and Jinfei Zhao. "Experiment and Meta-Analysis on the Effects of Grass Cultivation in the Orchard on Fruit Yield and Quality." Food Science and Technology 43 (2023). http://dx.doi.org/10.1590/fst.95122.

Nelson, A. D., J. R. Elkins, L. Stocchi, F. A. Farraye, and J. G. Hashash. "Use and Misuse of Parenteral Nutrition in Patients with Inflammatory Bowel Disease." Inflamm Bowel Dis 28, no. 10 (Oct 3 2022): 1592-602. http://dx.doi.org/10.1093/ibd/izac085.

Putson, Pathamaporn, Bandhita Wanikorn, and Sudathip Sae-Tan. "Effects of Age and Food Processing of Sapodilla Leaves for Botanical Beverage Application." Food Science and Technology 42 (2022). http://dx.doi.org/10.1590/fst.55022.

Samsami, Mohammad Mehdi and Navid Yasrebi. "Novel Rfid Anti-Collision Algorithm Based on the Monte–Carlo Query Tree Search." Wireless Networks 27, no. 1 (2020): 621-34. http://dx.doi.org/10.1007/s11276-020-02466-1.

Tanner, David. "Applications for Rfid Technologies in the Food Supply Chain." Food Science (2016): 1-4. http://dx.doi.org/10.1016/b978-0-08-100596-5.03164-4.

Yli-Huumo, J., D. Ko, S. Choi, S. Park, and K. Smolander. "Where Is Current Research on Blockchain Technology?-a Systematic Review." PLoS One 11, no. 10 (2016): e0163477. http://dx.doi.org/10.1371/journal.pone.0163477.

Sikorski, Janusz J., Joy Haughton, and Markus Kraft. "Blockchain Technology in the Chemical Industry: Machine-to-Machine Electricity Market." Applied Energy 195 (2017): 234-46. http://dx.doi.org/10.1016/j.apenergy.2017.03.039.

Deng, Shaojiang, Di Xiao, Yantao Li, and Wenbin Peng. "A Novel Combined Cryptographic and Hash Algorithm Based on Chaotic Control Character." Communications in Nonlinear Science and Numerical Simulation 14, no. 11 (2009): 3889-900. http://dx.doi.org/10.1016/j.cnsns.2009.02.020.

Yang, Jun and Dong Yang. "Design of Online Teaching Mode Recognition System for Ideological and Political Curriculum Based on Hash Algorithm." 446 (2022): 153-67. http://dx.doi.org/10.1007/978-3-031-18123-8_12.

Basak, Ratan Kumar, Ritam Chatterjee, Paramartha Dutta, and Kousik Dasgupta. "Steganography in Color Animated Image Sequence for Secret Data Sharing Using Secure Hash Algorithm." Wireless Personal Communications 122, no. 2 (2021): 1891-920. http://dx.doi.org/10.1007/s11277-021-08973-4.

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Publicado

2023-07-04

Como Citar

XU, B., CHEN, C., LI, C., SHAO, L., & YU, J. (2023). Application of blockchain technology for beverage safety in intelligent ready-made beverage machines. Food Science and Technology, 43. https://doi.org/10.5327/fst.000323

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