2011
DOI: 10.1080/10942910903312403
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Measurement and Modeling of Respiration Rate of Guava (CV. Baruipur) for Modified Atmosphere Packaging

Abstract: Several experiments were conducted at different storage temperatures for generating respiration data using close system method for respiration. A respiration rate model, based on enzyme kinetics and the Arrhenius equation was proposed for predicting the respiration rates of Guava as a function of O 2 and CO 2 concentrations and storage temperature. Temperature was found to influence the model parameters. In this model, the dependence of respiration rate on O 2 and CO 2 was found to follow the uncompetitive inh… Show more

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Cited by 49 publications
(27 citation statements)
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“…2). These results are in close agreement with those obtained by Talasila et al (1992), Mangaraj and Goswami (2011a).…”
Section: Respiration Of Fruits For Transient State Of Mapsupporting
confidence: 83%
See 1 more Smart Citation
“…2). These results are in close agreement with those obtained by Talasila et al (1992), Mangaraj and Goswami (2011a).…”
Section: Respiration Of Fruits For Transient State Of Mapsupporting
confidence: 83%
“…(Jacomino et al 2001a). The need of postharvest management of guava fruit in a scientific way like CA/MAP storage was realized to extend its period of availability in market and also to harness the export opportunities (Mangaraj and Goswami 2011a). MAP technology has the potential to reduce the weight loss, maintained firmness, preserve colour and alleviated chilling injury of guava fruits by controlling the overall metabolic activities (Jacomino et al 2001a;Mohamed et al 1994;Sunjka et al 2003).…”
Section: Introductionmentioning
confidence: 99%
“…4). The results are in agreement with Mangaraj and Goswami [32] for guava in modified atmosphere packaging. It is well observed from the Figs.…”
Section: Respiration Rate Of the Commoditiessupporting
confidence: 81%
“…An uncompetitive CO 2 inhibition model (Hagger et al, 1992;Lee and Lee, 1996;Mangaraj and Goswami, 2011;Song et al, 1992) was also fitted to the data to study the possible effect of CO 2 concentration on O 2 consumption:…”
Section: Respiration Modelmentioning
confidence: 99%