Multi-stage freeze concentration of fish protein hydrolysates: A CFD–experimental approach addressing viscosity and freezing point challenges

  • Muhammad Umar Khan*
  • , Mahmood Mastani Joybari
  • , Khalid Hamid*
  • , Ignat Tolstorebrov
  • , Aqib Javed
  • , Armin Hafner
  • , Trygve M. Eikevik
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
82 Downloads (Pure)

Abstract

Freeze concentration is a promising technique for concentrating thermally sensitive liquids, particularly biomolecular solutions such as fish protein hydrolysates (FPH), while preserving functional and nutritional quality. However, its industrial application is constrained by two critical challenges: freezing point depression and viscosity increase, which hinder ice nucleation and separation. This study presents a multi-stage FC system specifically designed for FPH, integrating CFD simulations in ANSYS Fluent, MATLAB-based population balance modeling, and experimental validation. A final concentration of 36% (w/w solids) was achieved, with a corresponding viscosity of 188 mPa·s and a freezing point depression of −4.5 °C. To overcome ice propagation barriers, multiple crystallizers operating at staged refrigerant temperatures (−10 °C, −15 °C, −20 °C, and −25 °C) were employed. Simulation results showed strong agreement with experimental data, revealing that lower impeller rotational speeds significantly improved both ice fraction and mean crystal diameter, enhancing separation efficiency. These findings highlight the compounded effects of viscosity and freezing point depression on FC performance and establish a validated pathway for optimizing energy consumption and processing efficiency in high-viscosity bio-solutions.

Original languageEnglish
Article number105218
Number of pages16
JournalResults in Engineering
Volume26
Early online date15 May 2025
DOIs
Publication statusPublished - Jun 2025
MoE publication typeA1 Journal article-refereed

Funding

This research was funded under contract no. 245/2021 as part of the SUMAFOOD project (Sustainable Preservation of Marine Biomasses for an Enhanced Food Value Chain). The authors gratefully acknowledge the financial support from transnational funding bodies in collaboration with ERANET BLUE-BIO. Additionally, the Research Council of Norway supported the mobility of the research team through the INTPART project "Interdisciplinary Education and Research Platform in Cold-Chain of Fish: From Norway to Japan" (Project No: 309841).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • CFD simulation
  • Crystallization process
  • Fish protein hydrolysates
  • Freeze concentration
  • Multiphase flow
  • Population balance model
  • Rheological and thermal properties

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