Development and comparison of multivariate respiration models for fresh papaya (Carica papaya L.) based on regression method and artificial neural network

A respiration rate (RR) model based on Peleg's equation was developed for predicting RRs of fresh cut papaya. Respiration data for fresh cut papaya at 3/4 maturity were generated at temperatures 5, 10, 15, 20, 25 and 30°C using a closed system. RRs was found to be significantly influenced by storage temperature and increased from 0.021 to 0.289 mL[O2]/kg·h and 0.063 to 0.393 mL[CO2]/kg·h as a function of O2 and CO2 gas concentrations, respectively. Peleg's constant K 1 and K 2 were obtained from linear regression analysis using GraphPad Prism 5.0 software and regression coefficients have good fit with values close to unity. The model was verified to assess the capability of its predictability of the RRs over the temperatures. There was good agreement with the experimentally estimated RRs. Information derived from the model can contribute in the design of successful modified atmospheric systems for storage of fresh cut papaya.

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Modified Atmosphere Packaging for Fresh Fruits and Vegetables

Zhuang

Barth

Cisneros‐Zevallos

2014

Innovations in Food Packaging

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Development and comparison of multivariate respiration models for fresh papaya (Carica papaya L.) based on regression method and artificial neural network

Cited by 5 publications

References 22 publications

Assessment of Tunisian virgin olive oils via synchronized analysis of sterols, phenolic acids, and fatty acids in combination with multivariate chemometrics

Assessment of Tunisian virgin olive oils via synchronized analysis of sterols, phenolic acids, and fatty acids in combination with multivariate chemometrics

Modelling the effect of temperature on respiration rate of fresh cut papaya (Carica papaya L.) fruits

Modified Atmosphere Packaging for Fresh Fruits and Vegetables

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