Perspective: Assuring the Quality of Protein in Infant Formula

John C Wallingford1

  • 1Nutrispectives, Spokane, WA, United States.

Insights

The protein efficiency ratio (PER) rat bioassay for infant formula protein quality is unreliable. A shift to the human milk essential amino acid pattern offers a simpler, internationally aligned standard for infant formula protein assessment.

Area of Science:

  • Nutritional Biochemistry
  • Food Science and Technology
  • Regulatory Science

Background:

  • Current infant formula regulations mandate the protein efficiency ratio (PER) rat bioassay for protein quality assessment.
  • Authoritative bodies and international consensus question the PER's suitability for scoring infant formula protein quality.
  • The PER's control protein, casein, does not align with the essential amino acid profile of human milk.

Approach:

  • Review of current regulations and methodological recommendations for protein quality assessment in infant formula.
  • Analysis of the limitations of the PER, particularly concerning its control protein (casein) and relevance to infant nutrition.
  • Evaluation of the essential amino acid pattern of human milk as an international standard for infant formula protein quality.

Key Points:

  • The PER bioassay may provide a false assurance of protein quality due to its reliance on casein as a control.
  • The essential amino acid pattern of human milk is the internationally accepted standard for infant formula protein quality.
  • Methodological adjustments to PER by the FDA focus on controlling nonprotein variables, not addressing the core issue of the control protein.

Conclusions:

  • The FDA should revise protein quality assessment methods to align with the human milk essential amino acid pattern.
  • Adopting the human milk standard would simplify the process, conform to international norms, and ensure accurate protein quality evaluation.
  • Alternative methods for protein quality determination can be selectively employed for novel protein sources or manufacturing process evaluations.