★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★Open research. Global perspectives.
Engineering and Technology OPEN ACCESS

Experimental Optimization Of Litchi Spray Pre-Cooling Process Parameters

Chen Minglin
Guangdong Institute Of Modern Agricultural Equipment, Guangzhou 510640, China
Lv Enli
College Of Engineering, South China Agricultural University, Guangzhou 510642, China
Gan Ling
Corresponding Author Guangdong Institute Of Modern Agricultural Equipment, Guangzhou 510640, China
tajet 2020
VOL. 2 / NO. 08 AUGUST
VOLUME 2
ISSUE 08
YEAR 2020
PAGES 45-52

Abstract

Pre-cooling is an important part of the post-harvest cold chain logistics of litchi. Spray pre-cooling can
quickly reduce the temperature of litchi. Mastering the best process parameters of spray pre-cooling
can improve the pre-cooling efficiency. Taking the "Huaizhi" litchi as the research object, the
orthogonal experiment was carried out by selecting factors such as spray temperature, spray flow,
and litchi layer number, and the optimal process parameters of litchi spray precooling were obtained
through range analysis and variance analysis. The results show that when the spray temperature is 5℃,
the spray flow rate is 5 L/(s•m2
), and the number of litchi layers is 3, the 7/8 litchi pre-cooling time is
shorter, the pre-cooling uniformity σ is small, and the pre-cooling Best results.

Keywords

Spray pre-cooling; ; temperature;

Downloads

Download data is not yet available.

References

  1. Han Jiawei, Zhao Chunjiang, Yang Xinting,
  2. et al. Effect of air-inflow velocity on cooling
  3. efficiency during forced-air precooling of
  4. apples[J]. Transactions of the Chinese
  5. Society for Agricultural Machinery, 2015,
  6. (11): 280-289.
  7. Azam M M, Eissa A H A, Hassan A H.
  8. Monitoring of change in cantaloupe fruit
  9. quality under pre-cooling and storage
  10. treatments[J]. Journal of Food Processing
  11. & Technology, 2015, 6(12): 527.
  12. Han Q, Gao H, Chen H, et al. Precooling and
  13. ozone treatments affects postharvest
  14. quality of black mulberry (Morus nigra)
  15. fruits[J]. Food Chemistry, 2017, 221: 1947-
  16. Becker B R, Fricke B A. Hydrocooling time
  17. estimation methods[J]. International
  18. Communications in Heat and Mass
  19. Transfer, 2002, 29(2): 165-174.
  20. Góral D, Kluza F, Kozłowicz K. Assessment
  21. of heat transfer and mass change during
  22. fruits and vegetables impingement precooling[J]. International Journal of Food
  23. Engineering, 2014, 10(1): 183-189