• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Egyptian Journal of Aquatic Biology and Fisheries
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 29 (2025)
Issue Issue 3
Issue Issue 2
Issue Issue 1
Volume Volume 28 (2024)
Volume Volume 27 (2023)
Volume Volume 26 (2022)
Volume Volume 25 (2021)
Volume Volume 24 (2020)
Volume Volume 23 (2019)
Volume Volume 22 (2018)
Volume Volume 21 (2017)
Volume Volume 20 (2016)
Volume Volume 19 (2015)
Volume Volume 18 (2014)
Volume Volume 17 (2013)
Volume Volume 16 (2012)
Volume Volume 15 (2011)
Volume Volume 14 (2010)
Volume Volume 13 (2009)
Volume Volume 12 (2008)
Volume Volume 11 (2007)
Volume Volume 10 (2006)
Volume Volume 9 (2005)
Volume Volume 8 (2004)
Volume Volume 7 (2003)
Volume Volume 6 (2002)
Volume Volume 5 (2001)
Volume Volume 4 (2000)
Volume Volume 3 (1999)
Volume Volume 2 (1998)
Volume Volume 1 (1997)
et al., A. (2025). Designing the Thermal Process for Sterilizing Canned Fish in the Autoclave: Modeling Temperatures with Artificial Neural Networks, Thermal Penetration Characteristics and Predicting Shelf Life. Egyptian Journal of Aquatic Biology and Fisheries, 29(1), 2511-2535. doi: 10.21608/ejabf.2025.414085
Al-Mtury et al.. "Designing the Thermal Process for Sterilizing Canned Fish in the Autoclave: Modeling Temperatures with Artificial Neural Networks, Thermal Penetration Characteristics and Predicting Shelf Life". Egyptian Journal of Aquatic Biology and Fisheries, 29, 1, 2025, 2511-2535. doi: 10.21608/ejabf.2025.414085
et al., A. (2025). 'Designing the Thermal Process for Sterilizing Canned Fish in the Autoclave: Modeling Temperatures with Artificial Neural Networks, Thermal Penetration Characteristics and Predicting Shelf Life', Egyptian Journal of Aquatic Biology and Fisheries, 29(1), pp. 2511-2535. doi: 10.21608/ejabf.2025.414085
et al., A. Designing the Thermal Process for Sterilizing Canned Fish in the Autoclave: Modeling Temperatures with Artificial Neural Networks, Thermal Penetration Characteristics and Predicting Shelf Life. Egyptian Journal of Aquatic Biology and Fisheries, 2025; 29(1): 2511-2535. doi: 10.21608/ejabf.2025.414085

Designing the Thermal Process for Sterilizing Canned Fish in the Autoclave: Modeling Temperatures with Artificial Neural Networks, Thermal Penetration Characteristics and Predicting Shelf Life

Article 118, Volume 29, Issue 1, January and February 2025, Page 2511-2535  XML PDF (1.03 MB)
DOI: 10.21608/ejabf.2025.414085
View on SCiNiTO View on SCiNiTO
Author
Al-Mtury et al.
Abstract
The current study aimed to sterilize canned fish cans using an autoclave, as well as addressing the thermal penetration characteristics and predicting shelf life. Thermal penetration characteristics were study, along with the calculation of their thermal process, and the application of artificial intelligence (ANN) was used to predict the sterilizer and cold spot temperature, as well as the lethal rate. The cold spot in the cans and the lethal rate during storage were investigated. The autoclave was used to sterilize the fish at two temperatures, 110 and 121°C, with a holding time of 20min. The results showed that the come-up time (CUT) for the sterilizer to reach the sterilization temperature at 110°C was 32min, while at 121°C temperature, it required 36min. The lethal rate at a temperature of 121°C reached 1 after 44min of heating, while at a temperature of 110°C, it reached 1 after 40min. The results showed that the fitting between the experimental sterilizer temperature, the cold spot in the cans, and the predicted lethal rate by ANN was good. Moreover, the MSE value was very low, ranging between 6.4152×10-7 and 0.0034599. The general model Sin 4-8 equations were used to describe the sterilizer temperature, the cold spot in the cans, and the lethal rate, respectively. The results showed that the thermal penetration coefficient (fh) was 15.01 and 28.57 at temperatures of 110 and 121°C, respectively. The TBA value in sterilized canned fish at temperatures of 110 and 121ºC was 0.11 and 0.16, respectively. The predicted shelf life was 15.83 and 18.64 months at temperatures of 110 and 121°C, respectively.
Keywords
Autoclave; Shelf life; Temperature; Sterilization; Lethal rate; Thermal penetration
Statistics
Article View: 71
PDF Download: 89
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.