Method for determining bitter taste of milk protein hydrolysates and use thereof

By using quinine standard material and enzymatic hydrolysis technology, combined with sensory evaluation and electronic tongue analysis, the problem of quantitatively describing the bitterness of hydrolyzed milk protein has been solved, enabling accurate quantification and prediction of bitterness, thereby improving food quality and consumer acceptance.

CN122330376APending Publication Date: 2026-07-03BEIJING TECH & BUSINESS UNIV
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Patent Information

Application Number
CN202610046568.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies cannot accurately quantify and predict the degree of bitterness produced during the hydrolysis of milk proteins, which affects consumer acceptance and corporate image.

Method used

Quinine was used as a bitterness standard substance. Casein samples were enzymatically hydrolyzed with neutral or alkaline protease. A quinine concentration-sensory relationship curve was established through sensory evaluation and electronic tongue analysis. The bitterness value was predicted using a two-point forced selection method and a mathematical model.

Benefits of technology

It enables accurate quantitative description and prediction of bitterness during milk protein hydrolysis, provides an objective and repeatable evaluation method, and improves food quality and consumer acceptance.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a method for determining the bitterness of hydrolyzed milk protein and its application. The method includes: (1) enzymatically hydrolyzing casein samples using a neutral protease suitable for reaction at 40-55℃. (2) after enzymatic hydrolysis, inactivating the enzyme, centrifuging the hydrolyzed sample, and taking the supernatant for descriptive sensory evaluation; simultaneously, sensory evaluation of a series of quinine solutions with different concentration gradients is performed to obtain their bitterness values. (3) by correlating samples with different degrees of hydrolysis and different concentrations of quinine through sensory scoring, a functional relationship curve is constructed, and the corresponding mathematical model is obtained. (4) by comparing samples with different degrees of hydrolysis and quinine solutions with different concentration ranges, the quinine concentration corresponding to a quinine selectivity of 50% is obtained, and the quinine concentration-intensity curve of the enzymatically hydrolyzed samples under different degrees of hydrolysis is obtained, so that the quinine equivalent value of samples with different degrees of hydrolysis can be calculated. Therefore, this invention provides ideas and methods for solving the problem that bitterness in dairy products is difficult to quantitatively describe and predict.
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