Prediction in the Dynamics and Spoilage of Shewanella putrefaciens in Bigeye Tuna (Thunnus obesus) by Gas Sensors Stored at Different Refrigeration Temperatures
| Autor: | Jing Xie, Zhengkai Yi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
electronic nose
dynamic growth Health (social science) Gompertz function Food spoilage Cold storage Bigeye tuna Shewanella putrefaciens Plant Science TP1-1185 Health Professions (miscellaneous) Microbiology Article spoilage prediction Partial least squares regression Food science biology Electronic nose Chemistry Chemical technology biology.organism_classification GC-MS Tuna Food Science |
| Zdroj: | Foods, Vol 10, Iss 2132, p 2132 (2021) Foods Volume 10 Issue 9 |
| ISSN: | 2304-8158 |
| Popis: | Shewanella putrefaciens have a faster growth rate and strong spoilage potential at low temperatures for aquatic products. This study developed a nondestructive method for predicting the kinetic growth and spoilage of S. putrefaciens in bigeye tuna during cold storage at 4, 7 and 10 °C by electronic nose. According to the responses of electronic nose sensor P30/2, the fitted primary kinetic models (Gompertz and logistic models) and secondary model (square root function model) were able to better simulate the dynamic growth of S. putrefaciens, with high R2 and low RMSE values in the range of 0.96–0.99 and 0.021–0.061, respectively. A partial least squares (PLS) regression model based on both electronic nose sensor response values and electrical conductivity (EC) values predicted spoilage of S. putrefaciens in bigeye tuna more accurately than the PLS model based on sensor signal values only. In addition, SPME/GC-MS analysis suggested that 1-octen-3-ol, 2-nonanone, 2-heptanone, dimethyl disulfide and methylamine, N, N-dimethyl- are the key VOCs of tuna inoculated with S. putrefaciens. |
| Databáze: | OpenAIRE |
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