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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kek, Siok Peng Chin, Nyuk Ling Yusof, Yus Aniza |
| Copyright Year | 2013 |
| Abstract | Modelling studies of guava drying and quality are presented using theoretical and statistical models by varying temperature from 55 to 75 °C and slice thickness from 3 to 9 mm. The quality of dried fruit was measured for its water activity, colour, vitamin C, and texture. The superposition technique with Midilli-Kucuk model showed efficiency in modelling the drying process with R $^{ 2 }$ = 0.9991. The second-order polynomial equations adequately described the quality of dried guava with regression coefficient, R $^{ 2 }$ > 0.7. Drying time was a good function of temperature and thickness (P < 0.001); water activity, colour and vitamin C showed strong dependence on temperature (P < 0.1); while texture was mainly influenced by its thickness (P < 0.005). The optimum drying temperature of 70 °C at slice thickness of 6 mm was determined using the desirability function method. Simultaneous modelling using the theoretical and statistical drying models provides information on water diffusion and evaporation with the drying responses and factors. |
| Starting Page | 3609 |
| Ending Page | 3622 |
| Page Count | 14 |
| File Format | |
| ISSN | 00221155 |
| Journal | Journal of Food Science and Technology |
| Volume Number | 51 |
| Issue Number | 12 |
| e-ISSN | 09758402 |
| Language | English |
| Publisher | Springer India |
| Publisher Date | 2013-01-22 |
| Publisher Place | India |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Guava Modelling Drying Optimisation Time-temperature superposition technique Food Science Nutrition Chemistry/Food Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Food Science |
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