Multi-Scenario Application Research of a Three-Dimensional Quantitative System for the Natural Bias of Plant-Derived Food Materials—Demonstration of Daily Diet Therapy, Quantification of TCM Prescriptions, and Cultivation Regulation

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Abstract

Objective: To address the bottleneck of natural bias in the determination of plant-derived food materials, which relies on experience and lacks quantitative standards in traditional Chinese medicine (TCM) diet therapy and TCM prescription application, this study aimed to construct a standardized application system for the natural bias of plant-derived food materials on the basis of the three-dimensional quantitative evaluation system previously published by our team.Methods: Relying on the three-dimensional quantitative framework of "environmental habits--metabolic characteristics--growth cycle" [11], combined with natural bias data from 417 daily plant-derived food materials and 570 Chinese medicinal materials (a total of 987 species), the practicality and reliability of the system were verified in three core scenarios: daily diet therapy, the quantification of TCM prescriptions, and the directional cultivation of plants.Results: The system could realize multifactor dynamic adaptation of "constitution-season-region" in daily diet therapy, support the quantitative compatibility of "safety-intensity-time-effect" for TCM prescriptions, and directionally regulate the nature bias and core components of plant-derived food materials. These rules are consistent with traditional classic records and clinical application experience, demonstrating the ability to regulate stable nature bias.Limitations: This study has not yet established a dose‒effect relationship between nature bias quantification and clinical efficacy in plant directional cultivation, and the adaptability to extreme scenarios such as deep-sea and genetically modified materials needs further exploration.Conclusions: The three-dimensional quantitative system of "environmental habits--metabolic characteristics--growth cycle" provides an innovative framework for the standardized application of the natural bias of plant-derived food materials. It can support precise diet therapy, optimization of TCM prescriptions, and directional cultivation of food materials, promoting the transformation of plant-derived food material-related applications from experience-driven to scientifically standardized.

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