Model for human milk fat substitute evaluation based on triacylglycerol composition profile

Area of Science:

• Nutritional Science
• Biochemistry
• Food Chemistry

Background:

• Human milk fat (HMF) is primarily composed of triacylglycerols (TAGs).
• Accurate evaluation of human milk fat substitutes (HMFSs) is crucial for infant nutrition.
• Existing methods for HMFS evaluation may not fully capture HMF's complexity.

Purpose of the Study:

• To establish a precise evaluation model for HMFSs based on TAG composition.
• To analyze TAG composition in HMF across different lactation stages.
• To validate the model using fats and oils with known chemical profiles.

Main Methods:

• Analysis of HMF TAG composition using RP-HPLC-APCI-MS.
• Incorporation of fatty acid and polyunsaturated fatty acid (PUFA) data into the model.
• Verification of the model with diverse fats and oils.

Main Results:

• TAG composition effectively represents HMF characteristics.
• The developed model accurately differentiates fats and oils based on their similarity to HMF.
• Evaluation aspects correlated with specific chemical composition differences.

Conclusions:

• A novel evaluation model based on TAG composition provides a more accurate assessment of HMFSs.
• This model can guide the development and production of improved HMFSs.
• TAG composition analysis offers valuable insights for future HMFS research and manufacturing.