Liquid FSMP Glycemic Index Prediction With Combined In Vitro Digestion
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Solution Overview
Problem
Current methods for determining the glycemic index (GI) of foods for special medical purposes are time-consuming, complex, and inefficient, particularly due to the need for in vivo blood glucose tests that require multiple volunteers and are affected by individual differences.
Innovation Solution
A combined in vitro prediction method using a digestion parameter optimization algorithm to simulate the digestion process through an oral cavity, stomach, and small intestine, coupled with real-time glucose detection and starch hydrolysis analysis to predict GI values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If in vivo blood glucose test is used to determine GI value, then measurement accuracy is improved, but productivity deteriorates due to requiring multiple volunteers, high cost, and low efficiency
Solution Approach 1:
The patent creates an in vitro copy of the in vivo digestive environment using simulated gastrointestinal fluids and digestion conditions. This artificial digestive system replicates the key functions of human digestion without requiring actual human subjects, thereby maintaining measurement relevance while dramatically improving screening efficiency and reducing costs.
Solution Approach 2:
The patent introduces an intermediary in vitro digestive system that mediates between the food sample and the glucose measurement. This intermediary system simulates the complex biological digestion process, allowing indirect but accurate assessment of glycemic response without direct human involvement.
2Reliability
If in vivo blood glucose test is used, then reliability of GI determination is improved, but loss of time increases due to complex experimental process
Solution Approach 1:
The patent performs preliminary preparation of simulated gastrointestinal fluids and establishes optimized digestion conditions before conducting the actual GI assessment. This pre-preparation includes formulating artificial digestive enzymes, buffers, and pH conditions that replicate human physiology, enabling rapid and reliable testing without time-consuming in vivo procedures.
Solution Approach 2:
The patent replaces the complex biological mechanical system of human digestion with a controlled in vitro biochemical system. This substitution uses isolated digestive enzymes and simulated gastrointestinal conditions to replicate the essential functions of human digestion, significantly reducing time while maintaining reliability through standardized conditions.
3Measurement precision
If in vivo blood glucose test with multiple volunteers is conducted, then measurement comprehensiveness is improved, but device complexity increases due to need for parallel experiments
Solution Approach 1:
The patent develops a universal in vitro digestive system that can process multiple food samples simultaneously using the same simulated gastrointestinal conditions. This multi-functional system eliminates the need for separate experimental setups for each volunteer, reducing overall system complexity while maintaining the ability to assess multiple samples for comprehensive GI determination.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for rapid and accurate prediction of GI values, enabling high-throughput screening and development of low-GI foods by simulating digestion processes efficiently and effectively.
Implementation Method 1
simulating an optimal digestion condition when a liquid food sample for special medical purposes passes through an oral cavity, a stomach, and a small intestine
Implementation Method 2
detecting a generation quantity of glucose in the liquid food sample for special medical purposes in real time by a glucose analyzer
Implementation Method 3
detecting a degree of hydrolysis of starch in the sample in real time through a 3,5-dinitrosalicylic acid method
Data Source
AI summary
The disclosure discloses a combined in vitro prediction method for a glycemic index of liquid FSMPs. The method includes the following steps: simulating an optimal digestion condition when liquid FSMPs passes through an oral cavity, a stomach, and a small intestine; detecting a generation quantity of glucose in the liquid FSMPs in real time to predict an in vitro GI value of the liquid FSMPs; detecting a degree of hydrolysis of starch in the sample in real time to predict a theoretical GI value of the liquid FSMPs; and predicting the glycemic index of the liquid FSMPs by calculating a mean value of the in vitro GI value and the theoretical GI value and analyzing a correlation of the in vitro GI value and the theoretical GI value.

