AI Flavor Editing for Food Flavor Shift Correction
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Solution Overview
Problem
Existing food processing technologies lack precise, efficient, and intelligent methods to maintain characteristic flavor, relying on subjective experience and failing to address flavor deterioration during processing, storage, and transportation due to complex matrix compositions and cumbersome analysis methods.
Innovation Solution
A target-oriented flavor editing method using big data analysis, artificial intelligence, and multi-level grid path optimization to determine flavor profile shifting paths and apply corresponding editing schemes, including flavor escape correction, inactivation correction, and off-flavor generation correction models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional subjective experience methods are used to determine flavor deterioration reasons, then the process is simple to operate, but the precision and efficiency of flavor regulation is poor
Solution Approach 1:
The patent replaces subjective human sensory evaluation with objective electronic sensing systems (electronic nose, mass spectrometry) and computational analysis models. This substitution transforms the mechanical/sensory process into an electronic-informatics system, achieving precise identification of flavor profile shifting paths and enabling targeted regulation without relying on human subjectivity.
Solution Approach 2:
The patent introduces an artificial intelligence analysis model as an intermediary between flavor detection and regulation decision-making. This intermediary processes complex flavor data, identifies shifting paths, and generates editing schemes, bridging the gap between sensory input and actionable insights while maintaining system precision.
2Manufacturing precision
If comprehensive flavor analysis methods are used to identify flavor shifting paths, then the accuracy of flavor regulation is improved, but the analysis time and complexity increase significantly
Solution Approach 1:
The patent pre-establishes multiple flavor editing models corresponding to different flavor profile shifting paths (flavor escape, inactivation, off-flavor generation) before actual flavor analysis. When flavor shifting is detected, the system directly invokes the pre-trained appropriate model, avoiding the need to build analysis models in real-time and significantly reducing analysis time while maintaining high precision.
Solution Approach 2:
The patent segments the complex flavor analysis task into distinct pathways (flavor escape, inactivation, off-flavor generation), each handled by a specialized editing model. This segmentation allows parallel processing and targeted analysis, reducing overall analysis time compared to a single comprehensive analysis approach.
3Reliability
If multiple flavor editing schemes are generated for different flavor shifting paths, then the comprehensiveness of flavor maintenance is improved, but the complexity of scheme integration and implementation increases
Solution Approach 1:
The patent merges multiple flavor editing schemes generated from different shifting path analyses into a unified integrated editing scheme. This integration consolidates redundant or overlapping editing actions while preserving complementary measures, maintaining comprehensive flavor protection without the operational complexity of managing separate independent schemes.
Solution Approach 2:
The patent creates a universal flavor editing system that handles multiple types of flavor shifting (escape, inactivation, off-flavor generation) through a common integrated framework. The system can process different shifting paths and generate appropriate editing schemes using the same underlying platform, reducing overall system complexity compared to separate specialized systems.
Data Source
AI summary
A target-oriented flavor editing method and system for maintaining characteristic flavor of food. The method comprises: monitoring change in characteristic flavor profile of food exceeding a preset threshold to determine the occurrence of flavor profile shifting, and invoking an analysis model of flavor profile shifting paths to determine the flavor profile shifting path that causes flavor profile shifting; invoking a corresponding target-oriented flavor editing model based on the flavor profile shifting path, and outputting a target-oriented flavor editing scheme for maintaining flavor for the corresponding flavor profile shifting path; integrating the target-oriented flavor editing schemes output by the target-oriented flavor editing model corresponding to the flavor profile shifting paths, respectively, to obtain an integration result of the target-oriented flavor editing schemes; and performing flavor editing on food based on the integration result of the target-oriented flavor editing schemes.