Predictive modeling of surimi cake shelf life at different storage temperatures

Yatong Wang; Yanhua Hou; Quanfu Wang; Bingqing Cui; Xiangyu Zhang; Xuepeng Li; Yujin Li; Yuanping Liu

doi:10.1063/1.4981629

Predictive modeling of surimi cake shelf life at different storage temperatures

Yatong Wang
, Yanhua Hou
, Quanfu Wang^*
, Bingqing Cui
, Xiangyu Zhang
, Xuepeng Li
, Yujin Li
, Yuanping Liu

^*Corresponding author for this work

School of Marine Science and Technology, Harbin Institute of Technology Weihai
Bohai University
Shandong Provincial Engineering Technology Research Center of Marine Health Food

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The Arrhenius model of the shelf life prediction which based on the TBARS index was established in this study. The results showed that the significant changed of AV, POV, COV and TBARS with temperature increased, and the reaction rate constants k was obtained by the first order reaction kinetics model. Then the secondary model fitting was based on the Arrhenius equation. There was the optimal fitting accuracy of TBARS in the first and the secondary model fitting (R²≥0.95). The verification test indicated that the relative error between the shelf life model prediction value and actual value was within ±10%, suggesting the model could predict the shelf life of surimi cake.

Original language	English
Title of host publication	2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017
Editors	Shanhong Zhu, Tao Kuang, Dajing Fang
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735415041
DOIs	https://doi.org/10.1063/1.4981629
State	Published - 28 Apr 2017
Externally published	Yes
Event	2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017 - Busan, Korea, Republic of Duration: 22 Apr 2017 → 23 Apr 2017

Publication series

Name	AIP Conference Proceedings
Volume	1834
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017
Country/Territory	Korea, Republic of
City	Busan
Period	22/04/17 → 23/04/17

Access to Document

10.1063/1.4981629

Cite this

Wang, Y., Hou, Y., Wang, Q., Cui, B., Zhang, X., Li, X., Li, Y., & Liu, Y. (2017). Predictive modeling of surimi cake shelf life at different storage temperatures. In S. Zhu, T. Kuang, & D. Fang (Eds.), 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017 Article 040033 (AIP Conference Proceedings; Vol. 1834). American Institute of Physics Inc.. https://doi.org/10.1063/1.4981629

@inproceedings{92549e4477fc436fb64707a3335dbcac,

title = "Predictive modeling of surimi cake shelf life at different storage temperatures",

abstract = "The Arrhenius model of the shelf life prediction which based on the TBARS index was established in this study. The results showed that the significant changed of AV, POV, COV and TBARS with temperature increased, and the reaction rate constants k was obtained by the first order reaction kinetics model. Then the secondary model fitting was based on the Arrhenius equation. There was the optimal fitting accuracy of TBARS in the first and the secondary model fitting (R2≥0.95). The verification test indicated that the relative error between the shelf life model prediction value and actual value was within ±10\%, suggesting the model could predict the shelf life of surimi cake.",

author = "Yatong Wang and Yanhua Hou and Quanfu Wang and Bingqing Cui and Xiangyu Zhang and Xuepeng Li and Yujin Li and Yuanping Liu",

note = "Publisher Copyright: {\textcopyright} 2017 Author(s).; 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017 ; Conference date: 22-04-2017 Through 23-04-2017",

year = "2017",

month = apr,

day = "28",

doi = "10.1063/1.4981629",

language = "英语",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Shanhong Zhu and Tao Kuang and Dajing Fang",

booktitle = "2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017",

}

Wang, Y , Hou, Y , Wang, Q, Cui, B, Zhang, X, Li, X, Li, Y & Liu, Y 2017, Predictive modeling of surimi cake shelf life at different storage temperatures. in S Zhu, T Kuang & D Fang (eds), 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017., 040033, AIP Conference Proceedings, vol. 1834, American Institute of Physics Inc., 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017, Busan, Korea, Republic of, 22/04/17. https://doi.org/10.1063/1.4981629

Predictive modeling of surimi cake shelf life at different storage temperatures. / Wang, Yatong ; Hou, Yanhua ; Wang, Quanfu et al.
2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017. ed. / Shanhong Zhu; Tao Kuang; Dajing Fang. American Institute of Physics Inc., 2017. 040033 (AIP Conference Proceedings; Vol. 1834).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Predictive modeling of surimi cake shelf life at different storage temperatures

AU - Wang, Yatong

AU - Hou, Yanhua

AU - Wang, Quanfu

AU - Cui, Bingqing

AU - Zhang, Xiangyu

AU - Li, Xuepeng

AU - Li, Yujin

AU - Liu, Yuanping

PY - 2017/4/28

Y1 - 2017/4/28

N2 - The Arrhenius model of the shelf life prediction which based on the TBARS index was established in this study. The results showed that the significant changed of AV, POV, COV and TBARS with temperature increased, and the reaction rate constants k was obtained by the first order reaction kinetics model. Then the secondary model fitting was based on the Arrhenius equation. There was the optimal fitting accuracy of TBARS in the first and the secondary model fitting (R2≥0.95). The verification test indicated that the relative error between the shelf life model prediction value and actual value was within ±10%, suggesting the model could predict the shelf life of surimi cake.

AB - The Arrhenius model of the shelf life prediction which based on the TBARS index was established in this study. The results showed that the significant changed of AV, POV, COV and TBARS with temperature increased, and the reaction rate constants k was obtained by the first order reaction kinetics model. Then the secondary model fitting was based on the Arrhenius equation. There was the optimal fitting accuracy of TBARS in the first and the secondary model fitting (R2≥0.95). The verification test indicated that the relative error between the shelf life model prediction value and actual value was within ±10%, suggesting the model could predict the shelf life of surimi cake.

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M3 - 会议稿件

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T3 - AIP Conference Proceedings

BT - 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017

A2 - Zhu, Shanhong

A2 - Kuang, Tao

A2 - Fang, Dajing

PB - American Institute of Physics Inc.

T2 - 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017

Y2 - 22 April 2017 through 23 April 2017

ER -

Wang Y , Hou Y , Wang Q, Cui B, Zhang X, Li X et al. Predictive modeling of surimi cake shelf life at different storage temperatures. In Zhu S, Kuang T, Fang D, editors, 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2017. American Institute of Physics Inc. 2017. 040033. (AIP Conference Proceedings). doi: 10.1063/1.4981629

Predictive modeling of surimi cake shelf life at different storage temperatures

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