Agricultural Science Digest

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Agricultural Science Digest, volume 40 issue 2 (june 2020) : 163-166

Mathematical Modeling of Respiration Rate of Mango (Magnifera indica

A. Karthiayani, V. Nithyalakshmi
1Department of Food Process Engineering, College of Food and Dairy Technology, Tamilnadu Veterinary and Animal Sciences University, Chennai-600 052, Tamil Nadu, India.
Cite article:- Karthiayani A., Nithyalakshmi V. (2020). Mathematical Modeling of Respiration Rate of Mango (Magnifera indica). Agricultural Science Digest. 40(2): 163-166. doi: 10.18805/ag.D-4949.
Respiration rates (RR) have been used as an index for the metabolic activities of Mango during ripening and senescence. A knowledge on respiration rate will be very much needed for enhanced shelf life of Mango particularly during Modified Atmosphere Storage. Hence a work was carried out to determine respiration rates of three varities of mango (Magnifera indica) viz., Malgoa, Banganapalli and Neelum stored at three different tempertautres (Ambient, 24°C and 14°C). Known weight of fruits were kept under air tight condition in the plastic container fitted with a silicon septum. Every day three gas samples of 5 ml volume were drawn from the chamber through silicon rubber septum using a needle and the oxygen concentration was found out using MAP analyzer. The oxygen concentration was determined for 13 days of storage at all temperatures. The respiration rates were determined using experimentally and the values were substituted in formulae method for prediction. The value of the constants were determined using non-linear regression using Sigmaplot 8.0 software. The development of the mathematical model for the prediction of Respiration Rates were found to be useful for further reference.
  1. Bhande, S.D., Ravindra, M.R. and Goswami, T.K. (2008). Respiration rate of banana fruit under aerobic conditions at different storage temperatures. Journal of Food Engineering. 87 (1): 116-123.
  2. Cameron, A.C., Boylanpett, W. and Lee, J. (1989). Design of modified atmosphere packaging systems: modeling oxygen concentrations within sealed packages of tomato fruits. Journal of Food Science. 54 (6): 1413-1416.
  3. FAO (2003). Compendium on post harvest operations. Chapter XX Mango: Post- harvest operations. Food and Agricultural organization http: // content/compend/ text/Ch20sec2.htm# Pp: 93-103.
  4. Iqbal,T., Rodrigues., A.S., Mahajan, P.V. and Kerry, J.P. (2009). Mathematical modeling of the influence of temperature and gas composition on the respiration rate of shredded carrots. Journal of Food Engineering. 91 (2): 325-332.
  5. Labuza, T.P. and W.M.Breene. (1989). Application of ‘Active packaging’ for improvement of shelf-life and nutritional quality of fresh and extended shelf-life foods. Journal of Food Processing and Preservation. 13 (1): 1-69.
  6. Mohsenin, N.N. (1980). Physical Properties of Plant and Animal Materials (1st Edn.). Gordon and Breech Science Publishers, New York.pp: 123-124.
  7. Pantastico, E.R.B., Chattopadhyay, T.K. and Subramanyam, H. (1975). Storage and commercial storage operations. In: Post-    harvest Physiology, Handling and Utilization of Tropical and Subtropical Fruits and vegetables. AVI Publishing Company, Inc., Westport, Connecticut. pp. 560.
  8. Ratti, C, Raghavan, G.S.V. and Gariepy, Y. (1996). Respiration rate model and modified atmosphere packaging of fresh cauliflowers. Journal of Food Engineering. 28 (3-4): 297-306.
  9. Ratti C, Rabie HR and Raghavan GSV. (1998). Modeling modified atmosphere storage of fresh cauliflower using diffusion channels. Journal of Agricultural Engineering Research. 69 (4): 343-350.
  10. Wen, Q, Rongchao, MA, Dong, Q and Xin. Y (2006). Studies on post harvest physiology and the storage technology of mango. Journal of Food Processing Preservation. 30: 670-683.
  11. Wills, R.B.H., McGlasson, W.B., Grahm, D., Lee, T.H. and Hall, E.G. (1989). Postharvest. AVI Van Nostrand Reinhold Publishers, New York.
  12. Zagory D and Kader AA (1988). Modified atmosphere packaging of fresh produce. Food Technology. 42(9): 70-77.

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