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Adaptive and predictive approaches to mitigate the impact of milk seasonality on composition, processing technologies and quality of milk powders

  • Ahmed M. Hamed
  • , Bruno Galli
  • , Sean A. Hogan
  • , Mahmoud Abdel-Hamid
  • , Ehab Romeih
  • Cairo University
  • University of Limerick
  • Moorepark, Fermoy, Co.

Research output: Contribution to journalReview articlepeer-review

Abstract

The diverse composition of milk throughout the year can potentially impact subsequent processing in the dairy industry and the quality of the final products. This fluctuation in milk composition is influenced by direct and indirect factors like seasonal variability. Milk powders are produced through a complex process and are intended for various end uses and require consistency of composition along with desirable physical and functional properties. This review aims to report technical challenges and limitations related to the functional and quality characteristics of milk powder and highlight recent approaches used to mitigate seasonally related differences in milk composition.

Original languageEnglish
Article numbere13148
JournalInternational Journal of Dairy Technology
Volume78
Issue number1
DOIs
Publication statusPublished - Feb 2025

UN SDGs

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

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • fouling
  • functional properties
  • Milk powder manufacturing
  • predictive tools
  • seasonal variation

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