Prediction of respiration rate of barangan banana using arrhenius model

Abstract

The respiration process cannot be separated from horticultural products after harvest. So we need a method to determine the rate of respiration (CO₂ production), one of which is the Arrhenius model. The purpose of this study was to predict the CO₂ production rate of Barangan bananas using the Arrhenius model. CO₂ production of Barangan bananas with different harvesting ages (10 and 11) weeks was measured using the Continuous Gas Analyzer IRA-107 Shimadzu where the banana samples were placed in a respiration chamber, refrigerator for low temperature storage. The measured respiration rate data was then estimated using the Arrhenius model. When the storage temperature increases, the rate of CO₂ production will increase. At the harvest age of 11 and 10 weeks the higher the storage temperature, the CO₂ production rate will increase. The relationship between CO₂ production rate and storage temperature can be solved using the Arrhenius model. The results of the prediction of the Arrhenius model found a coefficient of determination of 0.91-0.94. The k values of 10 weeks of harvest (0.1, 0.24, 0.36) and k of 11 weeks of harvest (0.19, 0.31, 0.49) were calculated using the equation obtained using the Arrhenius model. Value of Ea harvested 33.76 kJ/mol at 10 weeks and 45.83 kJ/mol at 11 weeks. The respiration rate produced at 10 and 11 weeks was different, where the CO₂ production rate at 11 weeks at harvest was 77.98 ml/kg.hour with predicted results of 75.76 mm/kg.hour and at 10 weeks at harvest 65.80 ml/kg.hour with a predicted result of 68.21 ml/kg.hour. The results of the Arheniuss model can be used to estimate the CO₂ production rate of Barangan bananas during storage