No abstract

No abstract

Defatted watermelon (Citrullus vulgaris) seed cake is an under-utilized by-product of watermelon oil extraction from watermelon seed. The extruded snacks were prepared by addition of defatted watermelon seed cake flour (DWCF) in rice-corn flour blend at 10, 20, 30 and 40% proportions for the preparation of extruded snacks. The optimal level of incorporation of DWCF in extruded snacks was found to be 20% (w/w) upon physical and sensory evaluation of the extrudates at 5% significance level. The proximate composition, mineral and fatty acid profiles were analyzed for control and 20% DWCF incorporated extruded snacks. The extruded snacks prepared using this optimal formulation was packed by nitrogen flushing and studied for properties such as proximate composition, peroxide value, hardness, colour (L * , a * and b * ) and sensory characteristics during 90 days of storage and compared with control extruded snacks based on rice-corn flour blend. As a result, the DWCF incorporated extruded snacks was found to remain in good condition till the end of storage period.

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.