Development of a prediction model for the pericarp CIE a* value of mature green tomato at different storage temperatures as a function of cumulative ethylene production
| Autor: | Takahiro Orikasa, Manasikan Thammawong, Drupadi Ciptaningtyas, Wakana Kagoshima, Masafumi Johkan, Hitomi Umehara, Takeo Shiina, Rei Iida, Nobutaka Nakamura |
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| Rok vydání: | 2020 |
| Předmět: |
Ethylene
Value (computer science) 04 agricultural and veterinary sciences Sigmoid function Function (mathematics) 040401 food science law.invention 03 medical and health sciences chemistry.chemical_compound Search engine 0404 agricultural biotechnology 0302 clinical medicine Magazine chemistry Goodness of fit law Linear regression 030221 ophthalmology & optometry Biological system Food Science Mathematics |
| Zdroj: | Journal of Food Engineering. 278:109945 |
| ISSN: | 0260-8774 |
| Popis: | An estimation model following the sigmoid function of pericarp color based on the cumulative ethylene production was proposed. In the first part of the experiment, the same quintuplet samples were stored at 15 and 25 °C, respectively. In the second part, 114 tomatoes were stored at 12, 15, and 20 °C, and different triplet samples were used every time. It was concluded that the proposed model well described the behavior of the change in pericarp color in different storage temperatures. Moreover, the goodness of fit was better when the same sample was used. Another estimation method of parameters α, β, and γ of the sigmoid function at 15 °C was performed based on a linear regression using parameters α, β, and γ obtained at 12 and 20 °C. It suggested that the improvement of the goodness of fit will be achieved by the addition of data at different storage temperatures. |
| Databáze: | OpenAIRE |
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