Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration Temperatures
<i>Shewanella putrefaciens</i> 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 <i>S. putrefaciens</i> in bigeye tuna during cold st...
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doaj-7d85abb25d814ce2bd593aba9e53ba882021-09-26T00:09:35ZengMDPI AGFoods2304-81582021-09-01102132213210.3390/foods10092132Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration TemperaturesZhengkai Yi0Jing Xie1College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China<i>Shewanella putrefaciens</i> 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 <i>S. putrefaciens</i> 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 <i>S. putrefaciens</i>, with high R<sup>2</sup> 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 <i>S. putrefaciens</i> 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 <i>S. putrefaciens</i>.https://www.mdpi.com/2304-8158/10/9/2132electronic nose<i>Shewanella putrefaciens</i>dynamic growthspoilage predictionGC-MS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhengkai Yi Jing Xie |
spellingShingle |
Zhengkai Yi Jing Xie Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration Temperatures Foods electronic nose <i>Shewanella putrefaciens</i> dynamic growth spoilage prediction GC-MS |
author_facet |
Zhengkai Yi Jing Xie |
author_sort |
Zhengkai Yi |
title |
Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration Temperatures |
title_short |
Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration Temperatures |
title_full |
Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration Temperatures |
title_fullStr |
Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration Temperatures |
title_full_unstemmed |
Prediction in the Dynamics and Spoilage of <i>Shewanella putrefaciens</i> in Bigeye Tuna (<i>Thunnus obesus</i>) by Gas Sensors Stored at Different Refrigeration Temperatures |
title_sort |
prediction in the dynamics and spoilage of <i>shewanella putrefaciens</i> in bigeye tuna (<i>thunnus obesus</i>) by gas sensors stored at different refrigeration temperatures |
publisher |
MDPI AG |
series |
Foods |
issn |
2304-8158 |
publishDate |
2021-09-01 |
description |
<i>Shewanella putrefaciens</i> 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 <i>S. putrefaciens</i> 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 <i>S. putrefaciens</i>, with high R<sup>2</sup> 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 <i>S. putrefaciens</i> 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 <i>S. putrefaciens</i>. |
topic |
electronic nose <i>Shewanella putrefaciens</i> dynamic growth spoilage prediction GC-MS |
url |
https://www.mdpi.com/2304-8158/10/9/2132 |
work_keys_str_mv |
AT zhengkaiyi predictioninthedynamicsandspoilageofishewanellaputrefaciensiinbigeyetunaithunnusobesusibygassensorsstoredatdifferentrefrigerationtemperatures AT jingxie predictioninthedynamicsandspoilageofishewanellaputrefaciensiinbigeyetunaithunnusobesusibygassensorsstoredatdifferentrefrigerationtemperatures |
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1717366860831260672 |