Polymorphic medicinal and edible stasis removing composition based on AI optimization and classical famous prescription as well as preparation method and application of polymorphic medicinal and edible stasis removing composition

Abstract

The invention discloses a polymorphic medicinal and edible stasis removing composition based on AI optimization and a classic famous prescription as well as a preparation method and application thereof, and relates to the technical field of medicinal and edible homology. The food is prepared from the following raw materials in parts by weight through artificial intelligence algorithm optimization determination: 6-12 parts of kelp, 6-12 parts of hawthorn, 3-6 parts of platycodon grandiflorum, 3-6 parts of pericarpium citri reticulatae, 6-12 parts of poria cocos and 3-6 parts of liquorice. The composition is prepared from kelp, hawthorn, platycodon grandiflorum, pericarpium citri reticulatae, poria cocos and liquorice according to a specific proportion, and is obtained by cutting and optimizing'seaweed jade pot soup 'and'cassia twig and poria cocos pills' through a deep learning algorithm. The traditional Chinese medicine theory is combined with the modern artificial intelligence and food engineering technology, a series of products with the remarkable auxiliary stasis removing effect and excellent taste and convenience are created, and the problems that traditional Chinese medicine is poor in taste and not portable, and modern functional food is unclear in effect are solved; an innovative solution is provided for daily prevention and conditioning of the nodular diseases.

Description

Technical Field

[0001] This invention relates to the field of food and medicine homology technology, and more specifically to a multi-form food and medicine homology nodule-dispersing composition based on AI optimization and classic prescriptions, as well as its preparation method and application. Background Technology

[0002] The global incidence of nodular diseases (thyroid nodules, breast nodules, pulmonary nodules) has exploded in the past decade, becoming one of the most common clinical problems. Its etiology is complex, mainly related to the dramatic changes in the modern living environment: 1) Accumulation of environmental toxins: Air pollutants (PM2.5), heavy metal residues in drinking water, pesticides and antibiotics in food, etc., act as exogenous toxins, continuously damaging the body; 2) Dramatic changes in lifestyle: Long-term sleep deprivation leads to endocrine and immune system disorders, high-intensity mental stress continuously activates cortisol secretion and suppresses immunity, and high-fat, high-sugar diets directly lead to the accumulation of phlegm and dampness in the body; 3) Increased radiation exposure: Although there is no direct evidence of carcinogenicity, the biological effects of long-term low-dose electromagnetic radiation (cell phones, computers) and its interference with cellular homeostasis cannot be ignored.

[0003] The combined effect of these factors leads to a pathological state of "qi stagnation, phlegm accumulation, and blood stasis" in the human body, ultimately forming "nodules." Currently, there are no effective drugs for benign small nodules in clinical practice, and the main strategy is "passive observation" until the nodules enlarge or become malignant, at which point surgical removal is performed. This not only brings enormous psychological anxiety and financial burden to patients, but also results in significant surgical trauma and a high recurrence rate.

[0004] The core pathogenesis of nodular diseases (thyroid, breast, and pulmonary nodules) is "the mutual binding of phlegm and blood stasis." Zhang Zhongjing's *Treatise on Febrile and Miscellaneous Diseases* from the Han Dynasty discusses "masses" and "accumulations," with the main treatment principle being "activating blood circulation, removing blood stasis, softening hardness, and dispersing nodules." Later famous formulas such as "Seaweed Jade Pot Decoction" (from *Orthodox Manual of Surgery*) specifically treat goiter, and "Cinnamon Twig and Poria Pill" (from *Essential Prescriptions of the Golden Chamber*) excel at eliminating masses, serving as the standard for clinical treatment of such diseases.

[0005] However, traditional herbal decoctions are bitter, inconvenient to prepare, and have poor patient compliance, making them unsuitable for daily prevention and long-term conditioning. While the modern food industry has attempted to develop related products, it faces several bottlenecks: 1) simple formulations lacking classical theoretical support and unclear efficacy; 2) crude processing methods resulting in low dissolution rates of active ingredients; 3) outdated flavoring techniques leading to poor taste; and 4) limited product forms that fail to meet the needs of different scenarios and populations.

[0006] Artificial intelligence (AI) technology is increasingly being used in drug development, including formulation optimization, activity prediction, and process parameter optimization. However, its application in the homogenization of classic prescriptions with food and medicine and the innovation of food forms is still lacking.

[0007] Therefore, this invention aims to solve the above-mentioned technical problems by using AI technology to accurately transform classic prescriptions into a variety of delicious, portable, and effective daily foods, so that "good medicine is no longer bitter" and to provide an innovative solution for the prevention and treatment of nodules. Summary of the Invention

[0008] In view of this, the first objective of this invention is to provide a core formula of medicinal and edible ingredients that inherits the essence of classic prescriptions and is optimized by AI algorithms. The second objective of this invention is to provide formulations and preparation methods for three modern food forms (pastries, gummy candies, and solid beverages) based on the aforementioned core formula. The third objective of this invention is to provide an AI-driven method for optimizing preparation process parameters to achieve optimal efficacy, taste, and stability. The fourth objective of this invention is to clarify the application of the above composition in the preparation of functional foods that assist in the prevention and treatment of nodules.

[0009] To achieve the above objectives, the present invention adopts the following technical solution:

[0010] A medicinal and edible compound for dispersing nodules is prepared from the following raw materials in parts by weight, which are then optimized and determined by an artificial intelligence algorithm: 6-12 parts kelp, 6-12 parts hawthorn, 3-6 parts platycodon, 3-6 parts dried tangerine peel, 6-12 parts poria cocos, and 3-6 parts licorice.

[0011] Core Formula Design: Inheritance and Innovation The core formula of this invention is derived from the modification of "Seaweed Jade Pot Decoction" and "Cinnamon Twig and Poria Pill", following the principle of "principal, assistant, adjuvant and guide", and all of them use the food and medicine homologous substances announced by the National Health Commission.

[0012] Classical inheritance:

[0013] The principal ingredient (softening and dispersing nodules): Inheriting the idea of ​​"seaweed and kelp" as the core of "Seaweed Jade Pot Decoction", kelp is used instead (it is also a type of seaweed, but is more abundant and has a milder diet).

[0014] The auxiliary medicine (blood-activating and stasis-removing): inherits the idea of ​​"peach kernel-peony bark-red peony root" in "Guizhi Fuling Wan" to activate blood and remove stasis, and uses hawthorn instead (the active ingredient flavonoids also have the functions of activating blood, anti-inflammation and anti-oxidation, and are also food and medicine of the same origin).

[0015] The adjuvant herbs (for resolving phlegm and dissipating nodules) are: inheriting the idea of ​​"Fritillaria and Pinellia" in "Seaweed Jade Pot Decoction" for resolving phlegm and dissipating nodules, and replacing them with Platycodon grandiflorus (for clearing the lungs and resolving phlegm, benefiting the throat and draining pus, and being both a food and a medicine).

[0016] AI Optimization and Innovation: Employing AI algorithms based on deep learning networks (such as...) Figure 1As shown in the figure, data mining and efficacy prediction were performed on the compatibility and added flavors of seaweed, hawthorn, and platycodon in ancient and modern literature. The model input included: the properties, taste and meridian tropism of the components, modern pharmacological activity data (anti-inflammatory, antioxidant, anti-proliferative, etc.), and taste and flavor data. Through multi-objective optimization (maximizing the predicted efficacy value, minimizing bitterness, and maximizing flavor harmony), the algorithm output the optimal added herbs as: tangerine peel, poria cocos, and licorice.

[0017] Dried tangerine peel: AI predicts that its properties of "regulating qi and strengthening the spleen, drying dampness and resolving phlegm" can enhance the phlegm-resolving power of Platycodon grandiflorus, and its volatile oil components can improve the overall flavor.

[0018] Poria cocos: AI predicts that its function of "strengthening the spleen and removing dampness" can fundamentally prevent the generation of phlegm and dampness, embodying the principle of "supporting the body's resistance and eliminating pathogens", and its polysaccharide components can enhance immunity.

[0019] Licorice: AI predicted that its functions of "tonifying the spleen and replenishing qi, clearing heat and detoxifying, and harmonizing various herbs" could enhance the overall efficacy of the formula, and its high sweetness could serve as a natural flavoring agent. The core formula determined by AI optimization (by weight) is as follows: kelp 6-12 parts, hawthorn 6-12 parts, platycodon 3-6 parts, dried tangerine peel 3-6 parts, poria cocos 6-12 parts, and licorice 3-6 parts.

[0020] Modern scientific evidence (dispersion mechanism):

[0021] Kelp: Rich in fucoidan, a type of polysaccharide sulfate, which studies have shown can inhibit nodule growth by suppressing VEGF expression and inducing tumor cell apoptosis.

[0022] Hawthorn: Its main active ingredients are flavonoids (such as hyperoside) and organic acids, which have strong antioxidant and anti-inflammatory effects, can improve microcirculation, and resolve blood stasis.

[0023] Platycodon grandiflorus: Rich in platycodon saponin D, it has anti-inflammatory, immunomodulatory and expectorant-promoting effects.

[0024] Dried tangerine peel: Its volatile oils (limonene) and flavonoids (hesperidin) have anti-inflammatory and antioxidant effects.

[0025] Poria cocos: Poria cocos polysaccharides can significantly enhance the body's immune function.

[0026] Licorice: Glycyrrhizic acid and glycyrrhizin have anti-inflammatory, anti-allergic and hormone-like effects.

[0027] A method for preparing a medicinal and edible homologous compound for dispersing nodules includes the steps of optimizing the formulation and process parameters using an artificial intelligence algorithm; the artificial intelligence algorithm is a deep learning network, and the optimization objectives include efficacy prediction value, bitterness, and flavor harmony.

[0028] The application of a medicinal and edible homologous dispersing composition in the preparation of functional foods, wherein the functional foods include one of the following forms: pastries, gummy candies, and solid beverages.

[0029] Furthermore, the pastry is made from the following ingredients in parts by weight: 20-30 parts of the core formula ultrafine powder of claim 1, 20-30 parts of red date paste, 15-25 parts of walnut powder, 10-15 parts of malt syrup, and 10-15 parts of glutinous rice flour.

[0030] Form 1: Dispersed and sweet cake (pastry)

[0031] Formula: 20-30% core powder (kelp, hawthorn, platycodon, dried tangerine peel, poria cocos, and licorice root ultrafine powder), 20-30% red date paste, 15-25% walnut powder, 10-15% malt syrup, and 10-15% glutinous rice flour.

[0032] AI process: AI algorithm uses neural network prediction to determine the combined process parameters of "steaming first and then baking" (steaming at 90℃ for 20 min to baking at 80℃ for 40 min) to best retain the activity of functional ingredients and produce a pleasant roasted aroma.

[0033] Preparation process: raw material pretreatment -- ultrafine grinding -- mixing -- molding -- AI-optimized cooking (steaming then baking) -- cooling -- packaging.

[0034] Furthermore, the gel gummy is made from the following raw materials in parts by weight: 10-20 parts of the water extract of the core formula of claim 1, 15-25 parts of isomaltitol, 2-4 parts of gelling agent, and 5-10 parts of natural fruit juice.

[0035] Form 2: Gel Candy (Gel Gel)

[0036] Formula: Core ingredients: concentrated water extract (equivalent to 10-20% of dry medicinal materials), 15-25% isomaltitol, 2-4% low-methoxyl pectin, 5-10% natural fruit juice (such as blueberry juice), 0.3-0.6% citric acid, and appropriate amount of natural flavoring.

[0037] AI process: AI uses genetic algorithms to optimize cooking temperature, pH value, and gelling agent compounding ratio, predicting that low methoxyl pectin can form the best chewy texture under the conditions of pH=3.5 and calcium ion concentration of 0.2% without adding gelatin (vegetarian friendly).

[0038] Preparation process: Raw material water extraction -- concentration -- mixing with sugar alcohol, pectin, etc. -- boiling under AI optimized parameters -- acidity adjustment -- molding -- gelation -- drying -- packaging.

[0039] Furthermore, the solid beverage is made from raw materials comprising the following parts by weight: 50-70 parts of the core formula ultrafine powder of claim 1, 20-30 parts of resistant dextrin, and 5-10 parts of natural sweetener.

[0040] Form 3: Nodule-dispersing and moisturizing drink (solid beverage)

[0041] Formula: 50-70% core powder (ultra-fine pulverized), 20-30% resistant dextrin, 5-10% natural sweetener (erythritol / stevioside), and 2-5% natural flavorings (such as freeze-dried lemon powder).

[0042] AI process: AI optimizes ultrafine grinding parameters and mixing sequence through powder engineering simulation, predicting that premixing kelp powder with resistant dextrin can effectively prevent moisture absorption and clumping, and improve product stability.

[0043] Preparation process: raw material pretreatment -- AI-optimized ultrafine grinding -- mixing in the order specified by AI -- dry granulation -- packaging.

[0044] Furthermore, the preparation method of the core component ultrafine powder is as follows:

[0045] Kelp, hawthorn, platycodon, dried tangerine peel, poria cocos, and licorice were placed in a hot air drying oven at 60±5℃ and dried for 6 hours until the moisture content was ≤8%.

[0046] The dried medicinal materials are placed into an ultrafine pulverizer, and a cooling liquid at -15℃ is introduced to control the pulverization temperature. The pulverization temperature is monitored online using a laser particle size analyzer until the powder particle size D90 ≤ 30μm, thus obtaining the core component ultrafine powder.

[0047] Furthermore, the preparation method of the core component aqueous extract is as follows:

[0048] Weigh the medicinal materials according to the core formula, add 10 times the weight of water, decoct twice, 1.5 hours each time, and combine the filtrates;

[0049] After filtering the filtrate through a 200-mesh filter cloth, it enters a triple-effect concentrator and is concentrated to a core component water extract with a relative density of 1.25.

[0050] As can be seen from the above technical solution, compared with the prior art, the beneficial effects of the present invention are as follows:

[0051] Scientific basis: Rooted in classic prescriptions and supported by clear modern pharmacological mechanisms for resolving lumps; the introduction of AI algorithms upgrades the formulation and process optimization from "experience-driven" to "data and model-driven".

[0052] Novelty: This is the world's first systematic application of AI technology to the homogenization of medicine and food in classic prescriptions, the development of multi-form products, and the optimization of process parameters, representing original innovation.

[0053] Innovation:

[0054] Formula Innovation: The AI-optimized combination of "kelp-hawthorn-platycodon-dried tangerine peel-poria-licorice" is a modern and food-oriented innovative interpretation of a classic formula.

[0055] Formulation innovation: The same core formula has been used to create three different forms, covering different application scenarios (meal replacement, snack, and beverage).

[0056] Process innovation: AI-predicted processes such as "steaming before baking", "pectin gelling", and "powder premixing" are precise and efficient, superior to traditional trial-and-error methods.

[0057] Practicality: The product is delicious, portable, and safe, greatly improving patient compliance and addressing the pain points of prevention and long-term management. Attached Figure Description

[0058] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0059] Figure 1 This is a flowchart of the AI ​​formulation and process optimization algorithm used in this invention;

[0060] Figure 2 This is a process diagram for preparing the Sanjie Yigan cake (pastry) of the present invention;

[0061] Figure 3 This is a process diagram for preparing the gelling and condensing agent (gummy candy) of the present invention;

[0062] Figure 4 This is a process diagram for preparing the sludge-dispersing and moisturizing drink (solid beverage) of the present invention;

[0063] Figure 5 This is a graph showing the 6-month results of a placebo-controlled, randomized, double-blind, controlled clinical trial of the nodule-dispersing food product of this invention.

[0064] Figure 6 This is a diagram showing the clinical trial results of the food safety of the nodule-dispersing food of the present invention;

[0065] Figure 7 This is a graph showing the clinical trial results of the taste satisfaction of the nodule-dispersing food of the present invention;

[0066] Figure 8 This is a design drawing of the logo and packaging for the nodule-dispersing food product of this invention. Detailed Implementation

[0067] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0068] Example 1

[0069] This embodiment details how to utilize an AI system to complete the decision-making process from classic formulas to optimized formulations and processes. (See...) Figure 1 )

[0070] 1. Knowledge Graph Construction and Data Input:

[0071] Construct a modern knowledge graph of traditional Chinese medicine, with nodes including: medicinal materials (properties, flavors, meridian tropism, efficacy), chemical components, pharmacological targets, flavor molecules, food processing parameters, etc.

[0072] Use all the medicinal materials of the two prescriptions, "Seaweed Jade Pot Decoction" and "Cinnamon Twig and Poria Pill", as the initial input set.

[0073] Set optimization goals: Maximize: efficacy score (anti-inflammatory, antioxidant, anti-proliferative); Minimize: bitterness score; Maximize: flavor acceptability.

[0074] 2. AI Model Training and Optimization:

[0075] Using a multi-objective Bayesian optimization algorithm, the model first performs reasoning in the knowledge graph to screen out all medicinal and edible herbs that can be added as flavorings (such as dried tangerine peel, poria cocos, licorice, and yam).

[0076] The algorithm performs iterative simulations within a vast parameter space (the proportions of each medicinal material, processing temperature, time, etc.). Each iteration predicts the three target values ​​for a set of parameter combinations.

[0077] After 500 iterations, the algorithm found the Pareto optimal frontier. The researchers selected the solution that achieved the best taste (bitterness < 0.1) while ensuring efficacy (score > 0.9) as the final output.

[0078] 3. AI output results:

[0079] Optimal formula: 9 parts kelp, 9 parts hawthorn, 4 parts platycodon, 4 parts dried tangerine peel, 9 parts poria cocos, and 4 parts licorice.

[0080] Recommended key process parameters: Target particle size D90 for ultrafine grinding < 30μm; Recommended cooking method for pastries: "steam first, then bake".

[0081] Example 2

[0082] Refined preparation of Sanjie Yigan cake (see) Figure 2 Chinese pastry making process flow

[0083] 1. Raw material pretreatment:

[0084] Kelp, hawthorn, platycodon, dried tangerine peel, poria cocos, and licorice were placed in a hot air drying oven at 60±5℃ and dried for 6 hours until the moisture content was ≤8% (monitored using a rapid moisture analyzer).

[0085] The dried medicinal materials are placed into an ultrafine pulverizer, and a cooling liquid at -15℃ is introduced to control the pulverization temperature. The pulverization temperature is monitored online using a laser particle size analyzer until the powder particle size D90 ≤ 30μm, thus obtaining the core component ultrafine powder.

[0086] Roast the walnuts at 150℃ for 12 minutes (until the surface is golden brown and the aroma is released), then cool and grind them through an 80-mesh sieve.

[0087] After washing the red dates, soften them in 100℃ steam for 25 minutes, then mash them while they are still hot. Pass the mashed dates through a 60-mesh sieve to remove the skins and obtain a smooth red date paste.

[0088] 2. Mixing:

[0089] Weigh accurately according to the following weight percentages: 25 parts of core formula ultrafine powder, 28 parts of red date paste, 20 parts of walnut powder, 15 parts of malt syrup, and 12 parts of glutinous rice flour.

[0090] Add all powdered materials into the three-dimensional motion mixer and mix for 30 minutes until the color is uniform.

[0091] Add the red date paste and melted maltose syrup, then transfer to a food processor. Mix on low speed for 5 minutes, then chop on high speed for 3 minutes, until the mixture is uniform, smooth, and can be formed into a ball when squeezed. The ideal consistency is when a handful of the mixture can be formed into a ball but crumbles easily when gently touched.

[0092] 3. Shaping and Cooking:

[0093] Fill the cake dough into the mold and press it into shape under a pressure of 4MPa (each piece weighs 20g).

[0094] Place the shaped cake dough in a steamer and steam at 90℃ for 20 minutes. Judgment criteria: The surface of the cake should be moist, and the inside should be fully cooked with no raw flour taste.

[0095] Transfer the steamed pastries to a hot air circulating oven and bake at 80℃ for 40 minutes. Judgment criteria: The moisture content at the center of the pastry drops to 20±2% (measured using a halogen moisture analyzer), the surface is dry, and a mild Maillard reaction aroma is produced.

[0096] 4. Cooling and Packaging:

[0097] After being removed from the oven, the food is cooled to room temperature (25°C) in a sterile cooling room.

[0098] Individually nitrogen-filled packaging is carried out using food-grade aluminum foil bags, and final testing is performed using a metal detector.

[0099] Example 3

[0100] Refined preparation of gelling agent (gummy candy) (see) Figure 3 (Middle-grade soft candy manufacturing process)

[0101] 1. Extraction and Concentration:

[0102] Weigh the medicinal materials according to the core formula, add 10 times the weight of water, decoct twice, 1.5 hours each time, and combine the filtrates.

[0103] After filtering the filtrate with a 200-mesh filter cloth, it enters a triple-effect concentrator and is concentrated to a thick extract with a relative density of 1.25 (measured at 60℃).

[0104] 2. Gelatinizing and boiling:

[0105] Mix low-methoxyl pectin with a portion of isomaltitol dry until uniform, add an appropriate amount of cold water, disperse evenly under high-speed stirring, and let stand to swell for 2 hours.

[0106] Add the swollen pectin solution, remaining sugar alcohol, core ingredient extract, and blueberry juice into a vacuum scraper cooking pot.

[0107] Under a vacuum of -0.07 MPa, the mixture was heated to 107 °C while stirring (the soluble solids content reached 78% Brix, as monitored by a refractometer).

[0108] Stop heating, add the dissolved citric acid solution and natural flavorings, and stir quickly until well combined.

[0109] 3. Molding and drying:

[0110] While still hot, pour the sugar syrup into the starch mold and let it stand and freeze for 12 hours in an air-conditioned room at 20°C and 45% humidity.

[0111] After unmolding, place the gummies in a drying tunnel at 45°C and dry for 20 hours until the moisture content is ≤15%.

[0112] After screening, the products are packaged in pillow-style packaging.

[0113] Example 4

[0114] Refined preparation of Sanjie Qingrun Drink (solid beverage) (see) Figure 4 (Chinese solid beverage process flow)

[0115] 1. Ultrafine grinding and mixing:

[0116] The core medicinal materials were prepared into ultrafine powder (D90≤30μm) according to the method in Example 2.

[0117] Weigh the following components in the following proportions: 65 parts of core formula ultrafine powder, 25 parts of resistant dextrin, 8 parts of erythritol, and 2 parts of freeze-dried lemon powder.

[0118] Key mixing sequence: First, add the kelp ultrafine powder and all the resistant dextrin to a V-type mixer and premix for 10 minutes (this step effectively coats the kelp powder, preventing moisture absorption and the release of a fishy smell). Then add all the remaining ingredients, and mix for a total of 45 minutes.

[0119] 2. Granulation and Packaging:

[0120] The mixed powder is compressed, crushed, and granulated using a dry granulation machine to obtain 20-40 mesh particles.

[0121] The granular product is packaged in aluminum foil bags, each containing 5g.

[0122] Example 5

[0123] Rigorous clinical trial design and results (see) Figure 5 )

[0124] 1. Experimental Design:

[0125] A randomized, double-blind, placebo-controlled, multicenter trial design was adopted.

[0126] Subjects: 450 volunteers aged 18-65 years with benign thyroid nodules (5-20 mm in diameter) confirmed by ultrasound were included.

[0127] Grouping: Participants were randomly divided into 5 groups, with 90 people in each group. Group A (pastry test group), Group B (gummy candy test group), Group C (beverage test group), Group D (pastry control group), and Group E (general observation group).

[0128] Intervention: Groups A, B, and C consumed the corresponding doses of the test product daily (pastry: 50g / day; gummies: 30g / day; beverage: 1 packet / day). Group D consumed a placebo product with a similar appearance. Group E received no intervention. The trial lasted for 6 months.

[0129] Evaluation indicators:

[0130] Primary endpoint: Rate of change in maximum nodule diameter after 6 months. Effectiveness = (Baseline diameter - Diameter after 6 months) / Baseline diameter × 100%. Significant effect: ≥30%; Effective: 10%-29%; Ineffective: <10% or increase.

[0131] Secondary endpoints: thyroid function indicators (TSH, FT3, FT4) and safety indicators (liver and kidney function, complete blood count, and coagulation parameters).

[0132] Blinding: The subjects, efficacy assessors (ultrasound doctors), and statisticians were unaware of the group assignments.

[0133] 2. Validity results:

[0134] like Figure 4 As shown, a radar chart is used to display the total effective rate of the five groups for visual comparison. The total effective rate of group A (pastry) was 85.6%, group B (gummy candy) was 82.2%, and group C (beverage) was 80.0%, all three of which were significantly higher than group D (12.2%) and group E (10.0%) (P<0.001). There was no statistically significant difference in the nodule-dispersing efficacy among the three product forms (P>0.05).

[0135] 3. Safety results (see) Figure 6 ):

[0136] like Figure 5 As shown, a violin plot illustrates the changes in ALT and Cr before and after the experiment. This plot simultaneously displays the data distribution, density, and median. It is evident that the data points for all experimental groups are densely distributed within the normal reference range, and their distribution pattern is identical to that of the control and observation groups.

[0137] All subjects' liver function (ALT, AST), kidney function (Cr, BUN), blood lipids, blood glucose, complete blood count and coagulation function indicators fluctuated within the normal range, and there were no statistically significant differences between groups (P>0.05).

[0138] Example 6: Sensory evaluation and packaging design (see Figure 7 )

[0139] 1. Sensory evaluation:

[0140] Fifty trained sensory evaluators were invited to conduct blind evaluations of the three test groups of products.

[0141] Quantitative descriptive analysis was used to score six indicators (0-10 points): aroma intensity, sweetness, acidity, bitterness, off-flavor, and overall acceptability.

[0142] The results are as follows Figure 6 As shown in the heatmap, darker colors indicate higher scores. It is evident that all three products scored highly (>8 points) in "sweetness," "aroma," and "overall acceptability," while scoring extremely low (<2 points) in "bitterness" and "off-flavor." Overall acceptability for all three products exceeded 9 points.

[0143] 2. Packaging and Logo Design (see...) Figure 8 ):

[0144] Logo: Design as follows Figure 7 The logo, named "Ark of Resolving Knots," symbolizes "an ark for dissolving knots and carrying health." The graphic evolves from a melting knot into a sailing ship, cleverly incorporating the outline of a gourd used in traditional Chinese medicine. The colors use a gradient of indigo (technology, trust) and marigold yellow (vitality, hope).

[0145] Packaging Design:

[0146] Consistency: All three products use the same layout design language and main visual elements (logo, auxiliary graphics).

[0147] Differentiation: Distinguished by main color scheme: pastries use warm brown tones to reflect the warmth of a meal; gummies use vibrant berry colors to reflect the fun of snacks; beverages use refreshing blue-green tones to reflect the refreshing feeling of drinks.

[0148] Information Design: The back design uses a modular infographic to clearly display: ① Introduction to the AI ​​optimization concept; ② Diagram of the "principal, assistant, adjuvant, and guide" formula; ③ Core clinical data (86% effectiveness rate); ④ Suggestions for consumption scenarios.

[0149] Materials and Craftsmanship: The outer box is made of special paper, with a touch-sensitive film and partial UV coating to highlight the logo and key information. It uses a magnetic flip-top to enhance the premium experience.

[0150] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A medicinal and edible composition for resolving stagnation, characterized in that, The functional food is prepared by using the following raw materials in the weight parts determined by an artificial intelligence algorithm: 6-12 parts of kelp, 6-12 parts of hawthorn, 3-6 parts of platycodon, 3-6 parts of dried tangerine or orange peel, 6-12 parts of poria, and 3-6 parts of licorice.

2. A process for the preparation of a composition according to claim 1, characterized in that, The method comprises the steps of optimizing the prescription and process parameters by using an artificial intelligence algorithm; the artificial intelligence algorithm is a deep learning network, and the optimization targets include efficacy prediction value, bitterness, and flavor coordination.

3. Use of the composition according to claim 1 for the manufacture of a functional food, characterized in that, The form of the functional food includes one of a cake, a gel soft candy, and a solid beverage.

4. Use according to claim 3, characterized in that, The cake is prepared from the following raw materials in the weight parts: 20-30 parts of the core prescription superfine powder, 20-30 parts of red date paste, 15-25 parts of walnut powder, 10-15 parts of malt syrup, and 10-15 parts of waxy rice powder.

5. Use according to claim 3, characterized in that, The gel soft candy is prepared from the following raw materials in the weight parts: 10-20 parts of the core prescription water-extracted infusion, 15-25 parts of isomalt, 2-4 parts of a gelling agent, and 5-10 parts of natural fruit juice.

6. Use according to claim 3, characterized in that, The solid beverage is prepared from the following raw materials in the weight parts: 50-70 parts of the core prescription superfine powder, 20-30 parts of resistant dextrin, and 5-10 parts of natural sugar substitute.

7. Use according to any of claims 4 or 6, characterised in that, The preparation method of the core prescription superfine powder is as follows: The six medicinal materials of kelp, hawthorn, platycodon, dried tangerine or orange peel, poria, and licorice are dried in a hot air drying oven at 60±5°C for 6 hours until the water content is ≤8%; The dried medicinal materials are put into a superfine pulverizer, and cooling liquid at -15°C is introduced to control the pulverizing temperature. The powder particle size D90 is monitored online by a laser particle size analyzer until the powder particle size D90 is ≤30 μm, and the core prescription superfine powder is obtained.

8. Use according to claim 5, characterized in that, The preparation method of the core prescription water-extracted infusion is as follows: The medicinal materials are weighed according to the core prescription, 10 times the weight of water is added, and decoction is performed twice for 1.5 hours each time, and the filtrates are combined; After the filtrate is filtered by 200-mesh filter cloth, it is introduced into a three-effect concentrator, and concentrated to the core prescription water-extracted infusion with a relative density of 1.25.

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