Guanfeng Yang

Mr. Guanfeng Yang

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Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 October 2025 in Research Square
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GYGuanfeng Yang
Guanfeng Yang
Ethnobiological and ethnomedicinal relevance: The absence of standardized criteria and clear formulation guidelines for animal-derived ingredients in Traditional Chinese Medicine (TCM) dietary therapy restricts their effectiveness in subhealth management.Aim: This study aims to develop a three-dimensional (3D) evaluation-triple-component formulation system to quantify Yin-Yang properties (a core TCM classification describing ingredient thermal characteristics as hot/warm, mild, cool/cold) and standardize compatibility.Materials and Methods: Drawing on Lingnan dietary traditions and more than twenty years of clinical data, a quantification model was constructed, assessing animal-derived ingredients based on their environmental characteristics, metabolic properties, and growth cycles. The efficacy of the standardized formulations was then verified through targeted application according to specific constitutional conditions.Results: Qingyuan chicken demonstrated a significant Yang tendency (+ 4.2), while deep-sea tuna displayed a Yin tendency (− 7.2), aligning with historical records in TCM literature. Clinical application of these formulations in subjects with Yang or Yin deficiencies alleviated symptoms such as cold intolerance and dry mouth, respectively. Animals with Yang tendencies possessed 30%–40% saturated fatty acids, whereas those with Yin tendencies contained 25%–30% omega-3 fatty acids.Conclusions: The proposed system establishes a structured approach for evaluating and formulating animal-derived dietary ingredients. It effectively integrates traditional TCM principles with contemporary ethnobiological and ethnomedicinal practices, enhancing precision and reliability in TCM nutritional therapy.
18 December 2025 in Preprints.org
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GYGuanfeng Yang
Guanfeng Yang
Objective: To address the long-standing problems of "subjectivity, lack of standards for special groups, and poor cross-scenario adaptability" in the traditional evaluation of nature bias (cool-warm property) of plant-derived food materials, this study aimed to construct a full-scenario quantitative tool applicable to both "daily dietary" and "medicinal" scenarios.Methods: A three-dimensional framework integrating the "environmental habits-metabolic characteristics-growth cycle" was established. The core indicator thresholds of each dimension, exclusive correction rules for special groups (fungi, parasitic plants, lichens, high-altitude plants), and cross-dimensional arbitration logic were clarified. The feasibility of the system was verified using 485 core plant-derived samples, which were stratified and selected from a total sample library of 987 species (417 daily plant food materials + 570 Chinese medicinal materials). The core samples covered 4 categories of daily food materials, 4 special groups of Chinese medicinal materials, and 3 types of extreme habitats based on "biological group + ecotype".Results: The system covered more than 95% of common plant groups used in daily life and medicine. The consistency rate between daily food materials and traditional literature on "warm-cool nature" reached 98%, and the consistency rate of special groups of Chinese medicinal materials after correction reached 96% (with intensity error ≤15% for partially consistent samples). The repeated detection error rate was ±3.2% (excluding neutral food materials). Core indicator thresholds were cross-validated by authoritative references such as FAO Guidelines and international journals, which were consistent with the "environment-metabolism synergy" logic. The adaptability rate to nondeep-sea extreme habitats (high altitude, saline‒alkali land, extreme acidity) was 100%, which could explain the differences in the natural bias of medicinal materials from genuine producing areas.Limitations: Only deep-sea kelp showed deviations due to the lack of a multifactor model, and supplementary optimization with various deep-sea samples is planned.Conclusions: This three-dimensional quantitative evaluation system achieves a key breakthrough in the nature bias of plant-derived food materials from "qualitative description" to "quantitative calculation". It is not only suitable for the balanced matching of nature bias in daily dietary therapy but also supports the standardized determination of nature bias of medicinal plants, laying a rule foundation for subsequent extended studies such as the correlation between nature bias and efficacy of Chinese medicinal materials and scenario optimization for deep-sea/genetically modified plants.
22 December 2025 in Preprints.org
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GYGuanfeng Yang
Guanfeng Yang

Objective: To address the problems of insufficient universality and ambiguous mechanism explanations in the current evaluation system for the natural bias of plant-derived food materials, this study verified the adaptability of the three-dimensional evaluation rules, analyzed the synergistic regulatory mechanism of nature bias formation, and improved its standardized evaluation system on the basis of the previously established “environment–metabolism–growth” three-dimensional evaluation system. Methods: A total of 975 plant-derived samples (including 412 daily food materials, 563 Chinese medicinal materials, and 163 special groups) integrated from public databases and authoritative literature were selected as research objects, and 934 valid samples were obtained after screening. Pearson correlation analysis, partial correlation analysis, simple linear regression (including 10-fold cross-validation) and other methods were used to verify the adaptability of the three-dimensional evaluation rules combined with public metabolic and habitat data; moreover, the synergistic regulatory mechanism of natural bias was analyzed on the basis of plant physiology theory. Results: The three-dimensional evaluation results showed good adaptability, with a consistency rate of 97.2% for 781 valid common plant samples and 92.5% for 153 valid special group samples after correction. The correlations among the environment, metabolism, and nature bias were stable: soil moisture was strongly negatively correlated with the flavonoid content (correlation coefficient r=-0.82, significance P<0.001), and annual sunshine duration was strongly positively correlated with the volatile oil and 6-gingerol contents (correlation coefficients r=0.75 and 0.70, respectively, with significance P<0.001 for both). 6-Gingerol was the core component of Yang tendency (coefficient of determination R²=0.88), and the coverage of the evaluation system was more comprehensive after the quantitative dimension of this Yang tendency component was improved. Limitations: Due to the constraints of public data, the proportion of samples from extreme habitats such as high altitudes (>5000 m) and deep seas (>1000 m) is low (only 18.2%), which may affect the verification accuracy of adaptability in extreme scenarios; the lack of metabolic difference data among different genotypes of the same species in public databases prevents in-depth analysis of the regulatory effect of genotype on natural bias. Conclusions: The “environment–metabolism–growth” three-dimensional evaluation rules have strong universality and clear regulatory mechanisms. The system constructed on the basis of public data can provide a standardized basis for TCM dietary therapy and quality evaluation of medicinal plants and offer a standardized path for the evaluation of the natural bias of plant-derived food materials in the context of TCM modernization.

18 December 2025 in Research Square
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GYGuanfeng Yang
Guanfeng Yang
Objective To address the long-standing problems of "subjectivity, lack of standards for special groups, and poor cross-scenario adaptability" in the traditional evaluation of nature bias (cool-warm property) of plant-derived food materials, this study aimed to construct a full-scenario quantitative tool applicable to both "daily dietary" and "medicinal" scenarios. Methods A three-dimensional framework integrating the "environmental habits-metabolic characteristics-growth cycle" was established. The core indicator thresholds of each dimension, exclusive correction rules for special groups (fungi, parasitic plants, lichens, high-altitude plants), and cross-dimensional arbitration logic were clarified. The feasibility of the system was verified using 485 core plant-derived samples, which were stratified and selected from a total sample library of 987 species (417 daily plant food materials + 570 Chinese medicinal materials). The core samples covered 4 categories of daily food materials, 4 special groups of Chinese medicinal materials, and 3 types of extreme habitats based on "biological group + ecotype". Results The system covered more than 95% of common plant groups used in daily life and medicine. The consistency rate between daily food materials and traditional literature on "warm-cool nature" reached 98%, and the consistency rate of special groups of Chinese medicinal materials after correction reached 96% (with intensity error ≤ 15% for partially consistent samples). The repeated detection error rate was ± 3.2% (excluding neutral food materials). Core indicator thresholds were cross-validated by authoritative references such as FAO Guidelines and international journals, which were consistent with the "environment-metabolism synergy" logic. The adaptability rate to nondeep-sea extreme habitats (high altitude, saline‒alkali land, extreme acidity) was 100%, which could explain the differences in the natural bias of medicinal materials from genuine producing areas.
11 November 2025 in Preprints.org
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GYGuanfeng Yang
Guanfeng Yang
Objective: Aiming at the disconnection between animal-derived ingredient cultivation and the attributes of Traditional Chinese Medicine (TCM) dietary therapy, this study constructs an attribute-oriented regulation scheme centered on "Energetic Cultivation" based on the Three-Dimensional Evaluation System. Taking greenhouse/free-range breeding as the application scenarios of the energizing model, the scheme fills the attribute regulation gap of traditional scenarios through energizing regulation, and hierarchically meets the basic and precise dietary needs of the public based on the natural attribute baseline of species.Methods: Adopting reverse design logic (target attribute → quantitative index → breeding parameter), this study verified the regulation logic of environment, exercise, and controllable stress on the attribute balance of ingredients from the dimension of "species-parameter-metabolism-attribute" through literature cases.Results: A scenario adaptation system centered on the energizing model with clear parameters, scenario adaptation, and energizing mechanism was formed. Literature verification showed that environment (light, temperature, salinity), exercise, and controllable stress could directionally regulate ingredient attributes, which supports the theoretical logic of the energizing model.Limitations: Large-scale field trials have not been carried out; parameter fine-tuning, cost control, and variety-specific adaptation in practical application require further research.Conclusions: The attribute regulation scheme centered on the energizing model breaks the dual limitations of intensive breeding ("yield priority, attribute degradation") and traditional free-range breeding ("uncontrollable attributes, low benefits"). It provides stable and controllable raw material support for TCM dietary therapy, and promotes the high-quality transformation of the breeding industry to "selling attributes", with both academic and industrial value.
10 March 2026 in Research Square
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GYGuanfeng Yang
Guanfeng Yang
To address the core challenge in integrative medicine—the semantic incommensurability of heterogeneous medical data arising from divergent cognitive paradigms across medical systems—this paper proposes a multi-track cognition framework for global integrative medicine. Adopting a decoupled design of "flexibly customizable and extensible cognitive tracks with a fixed unified core architecture", this framework constructs exclusive cognitive tracks preserving the native logic for each medical system, takes the homeostatic representation network of multiple dimensions of human eight physiological systems as the general quantitative mediation benchmark, and establishes the system-level mapping relationship constrained by three core rules: cluster correspondence, network emergence, and context dependence, to realize the standardized transformation and system-level fusion of multi-source heterogeneous medical data. Empirical verification shows that the semantic alignment accuracy of this framework reaches 91.27%, the model goodness of fit \({R}^{2}\) ≥0.85 , and the accuracy is improved by 32.14% compared with the traditional single-point linear mapping method. The determination results have a strong consistency with clinical expert judgments, which can provide a feasible and general technical support for basic research of integrative medicine, whole-cycle management of chronic diseases, and individualized health intervention.