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Bioprocess Engineering for Cultivated Meat.

Julia Bernfeld1,2, Simon Zschieschang1,2, Marline Kirsch2

  • 1Institute of Technical Chemistry, Leibniz University of Hannover, Hannover, Germany.

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|October 14, 2025
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Summary
This summary is machine-generated.

Cultivated meat (CM) production requires advanced bioprocessing for scalability and cost-effectiveness. Innovations in upstream and downstream processes, alongside techno-economic modeling, are key to making sustainable meat alternatives a commercial reality.

Keywords:
Cell cultureCultivated meatDownstream processingProcess controlScale-upUpstream processing

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Area of Science:

  • Biotechnology
  • Food Science
  • Chemical Engineering

Background:

  • Conventional meat production faces environmental, ethical, and food security challenges.
  • Cultivated meat (CM) offers a potential sustainable alternative.
  • Scalable and cost-effective bioprocessing is crucial for CM commercialization.

Purpose of the Study:

  • To explore the comprehensive bioprocessing pipeline for cultivated meat (CM).
  • To identify key challenges and strategies in upstream and downstream CM production.
  • To discuss economic barriers and emerging technologies for CM optimization.

Main Methods:

  • Review of upstream bioprocessing: cell line development, culture scale-up (batch, fed-batch, perfusion).
  • Analysis of downstream processing: biomass harvesting, purification, and product structuring.
  • Evaluation of cost reduction strategies and emerging technologies (AI, machine learning).

Main Results:

  • Sterility, process monitoring, and cell proliferation/differentiation are critical upstream considerations.
  • High media costs and capital expenditure are significant economic barriers.
  • Media recycling, bulk sourcing, and in-house production are explored for cost reduction.

Conclusions:

  • Continued innovation in bioprocess engineering is essential for scalable and sustainable cultivated meat.
  • Techno-economic modeling will guide the optimization of CM production.
  • Emerging technologies like AI and digital twins show promise for future operational improvements.