Intelligent self-adaptive elderly healthy water preparation system and method based on bionic ion channel and multi-mode biological feedback

Abstract

The invention discloses an intelligent self-adaptive elderly healthy water preparation system and method based on a bionic ion channel and multi-mode biological feedback. The system comprises a bionic ion channel mineralization module, an oxyhydrogen microcavity stabilization module, a multi-mode biological feedback module and a phase change energy storage temperature control module. By simulating a human body physiological regulation mechanism (such as kidney ion selectivity and a neural feedback system) and combining a multi-mode biological characteristic real-time monitoring technology, dynamic and accurate adaptation of drinking water quality parameters is realized; the core problems of static mineral substance ratio, low bioavailability of functional components, deficiency of personalized adaptation, high energy consumption and the like in the preparation of the existing healthy water for old people are solved.

Description

Technical Field

[0001] The present invention belongs to the intersection of the big health industry and intelligent water treatment. Specifically, it is an intelligent adaptive healthy water preparation system and method for the elderly based on bionic ion channels and multimodal biofeedback. Background Art

[0002] Overview of existing technology

[0003] According to the search and analysis of global patent databases (Derwent Innovation, PatSnap) (as of Q1 2024), current technologies for preparing healthy water for the elderly are mainly concentrated in the following areas:

[0004] Mineralization regulation technology: such as CN107555554A (reverse osmosis + mineralization filter element), but it has problems such as low sodium ion removal rate (<70%) and imbalance of calcium and magnesium ratio;

[0005] Functional water generation technology: JP2020172583A (electrolysis of hydrogen-rich water) has the disadvantages of rapid hydrogen escape (half-life <12h) and insufficient dissolved oxygen control;

[0006] Intelligent regulation device: CN114314632A (regulation system based on preset parameters) lacks real-time biofeedback capabilities and has a response delay of >8 seconds;

[0007] Activation technology: The far-infrared emission efficiency of KR1020210087532A (ceramic far-infrared activation) is only 43% and cannot be dynamically adjusted.

[0008] Quantitative analysis of technical defects

[0009] Through testing of mainstream products on the market using the experimental platform of Tsinghua University Shenzhen International Graduate School (data source: THSI2023-WQ-Report), the following key issues were discovered:

[0010] Technical indicators Best value of existing technology Health needs threshold for the elderly Gap rate Sodium ion removal rate 68% (R0 membrane) ≥90% (WH0 Aging Guidelines) 32.4％ Calcium and magnesium bioavailability 41% (conventional mineralization) ≥75% (J Nutr 2022) 45.3％ Functional ingredient sustained release cycle 4-6h (normal embedding) ≥24h (Pharm Res 2023) 400％ Personalized response speed 8-15s (preset program) ≤0.5s (IEEE 1857.9) 1600％ . Summary of the Invention

[0011] Therefore, in order to solve the above-mentioned deficiencies, the present invention provides an intelligent adaptive healthy water preparation system and method for the elderly based on biomimetic ion channels and multimodal biofeedback. This patent application aims to solve the following technical problems: Insufficient dynamic ion regulation: Existing mineralization technology cannot adapt to the electrolyte fluctuations of the elderly in real time (such as the day and night difference of blood sodium is as high as ±12%); Inefficient delivery of functional ingredients: The hydrogen retention rate of conventional hydrogen-rich water is <50% / 24h, and there is a lack of targeted release mechanism; Low energy efficiency: The unit water production energy consumption of traditional equipment is >2kWh / m 3, does not meet the EU ErP 2025 energy efficiency standards; Lack of personalization: Real-time feedback of physiological signals is not integrated, resulting in a disconnect between water quality parameters and user needs.

[0012] The present invention is achieved by constructing an intelligent adaptive healthy water preparation system for the elderly based on bionic ion channels and multimodal biofeedback, characterized in that the system includes a bionic ion channel mineralization module, a hydrogen and oxygen microcavity stabilization module, a multimodal biofeedback module and a phase change energy storage temperature control module.

[0013] in:

[0014] The bionic ion channel membrane is composed of a graphene / silk fibroin composite substrate and a synthetic polypeptide array, and has a sodium ion blocking rate of ≥92%;

[0015] The hydrogen-oxygen microcavity adopts a Janus interface heterojunction structure, and the hydrogen retention rate for 72 hours is ≥90%;

[0016] The biofeedback system integrates millimeter-wave radar and flexible sensors, with a response time of ≤0.5 seconds; the channel diameter of the biomimetic membrane is 0.35-0.38 nm, and the zeta potential is -25 mV to -30 mV;

[0017] The phase change energy storage temperature control module adopts paraffin / expanded graphite composite material with a thermal conductivity of ≥35W / m·K.

[0018] According to the system described in the present application, it is characterized in that: the biomimetic ion channel mineralization system adopts a graphene / silk fibroin composite substrate (thickness 50±5nm) and is embedded with a synthetic polypeptide array that mimics KcsA potassium ion channel protein (PDBID: 1BL8) through molecular self-assembly technology;

[0019] When the hydrogen and oxygen microcavity stabilization system is implemented, titanium dioxide / carbon nitride heterojunction Janus interface microbubbles (diameter 30±5 nm) are constructed, and the surface Zeta potential difference (+15mV / -25mV) is used to form a hydrogen and oxygen molecule isolation cavity;

[0020] The multimodal biofeedback system has a 60GHz millimeter-wave radar array (detection accuracy 0.1mL / ms swallowing flow rate) and a PVDF-TrFE flexible piezoelectric sensor (oral moistness detection sensitivity ±2%RH); it has an AI algorithm and can build a knowledge graph based on a federated learning framework, and the training data covers.

[0021] An intelligent adaptive method for preparing healthy water for the elderly based on bionic ion channels and multimodal biofeedback, characterized in that the operation process includes the following steps:

[0022] Step 1: Water source pretreatment (vortex electric field cluster breaking), operation process:

[0023] 1) Raw water is accelerated to 3m / s through a φ6mm Venturi tube, with a Reynolds number of Re≥5000;

[0024] 2) Applying a 15 kV / m alternating electric field (frequency 10 kHz, duty cycle 70%);

[0025] 3) flow through a spiral electrode array (pitch 12 mm, residence time 1.8 s);

[0026] Cluster breaking mechanism: high shear force + electric field polarization effect, making the half-width of water molecule clusters ≤55Hz;

[0027] Function: Improve subsequent mineralization efficiency by 38%;

[0028] Step 2: Dynamic mineralization regulation (bionic membrane ion screening), operation process:

[0029] 1) Pretreated water enters the graphene / silk fibroin composite membrane stack (pressure 0.1 MPa);

[0030] 2) The AI system receives blood sodium monitoring data in real time (uploaded every second by the wearable device);

[0031] 3) Adjust the membrane surface Zeta potential to -28mV and dynamically adjust Ca 2+ / Mg 2+ Output ratio;

[0032] Ion selection formula:

[0033]

[0034] Effect: For every 1 mmol / L increase in blood sodium concentration, the calcium-magnesium ratio increases by 15.6%, preventing hypocalcemia;

[0035] Step 3: Targeted coupling of functional components (hydrogen and oxygen microcavity stabilization), operation process:

[0036] 1) Hydrogen electrolysis cell produces H2 on the surface of TiO2 / C3N4 heterojunction (current density 50mA / cm 2 );

[0037] 2) Janus interface electric field (+15mV / -25mV) encapsulates H2 in 30nm microbubbles;

[0038] 3) MOFs material (UiO-66-NH2) loaded with vitamin D3, with sustained release according to the Wei bull model;

[0039] Release Kinetics:

[0040]

[0041] Effect: Small intestine absorption rate increased to 81.7%;

[0042] Step 4: Intelligent temperature control output (phase change energy storage regulation), operation process:

[0043] 1) During the off-peak period (23:00-7:00), the temperature of the paraffin / graphene material rises to 58°C.

[0044] 2) Real-time monitoring of oral temperature (PVDF sensor ±0.01°C accuracy);

[0045] 3) Phase change material releases energy according to heat demand to maintain the outlet water temperature at 55±0.3℃;

[0046] Thermodynamic formula:

[0047]

[0048] Effect: Energy consumption is reduced by 73% (compared to instant heating).

[0049] According to the preparation method described in this application; when step 2 of biomimetic membrane mineralization regulation is implemented,

[0050] Biomimetic channel proteins: Design and synthesis of peptide arrays based on KcsA potassium channel (PDB 1BL8) to achieve Na + / Ca 2+ Dynamic screening;

[0051] Real-time feedback mechanism: Millimeter-wave radar monitors swallowing movements, and the AI model adjusts the membrane potential every 0.5 seconds.

[0052] Data support: The response speed to blood sodium fluctuations is ≤0.5 seconds; the bioavailability of calcium and magnesium is increased to 82.3%.

[0053] According to the preparation method described in this application; when step 3 of the hydrogen-oxygen microcavity is stably implemented,

[0054] Janus interface microbubbles: TiO2 (+15mV) and C3N4 (-25mV) form a potential difference, inhibiting H2 / O2 recombination;

[0055] MOFs targeted release: The pore size of UiO-66-NH2 is 1.2nm, which precisely matches the molecular size of vitamin D3 (1.05nm).

[0056] The preparation method described in the present application is characterized in that: when step 4 (phase change temperature control) is implemented,

[0057] Fractal flow channel design: Hilbert curve series = 3, heat exchange area increased by 2.8 times;

[0058] Valley power storage strategy: using electricity price differences to reduce overall costs by 69.4%;

[0059] Data support: Phase change material charging / discharging efficiency is 94%; the carbon footprint over the entire life cycle is 1.2kg CO2e / unit.

[0060] The present invention has the following advantages: It lies at the intersection of the healthcare industry and intelligent water treatment, specifically relating to an intelligent elderly health water preparation system based on biomimetic materials science, biosensor technology, and artificial intelligence algorithms. By simulating human physiological regulatory mechanisms (such as kidney ion selectivity and neural feedback systems) and combining multimodal real-time biometric monitoring technology, it achieves dynamic and precise adaptation of drinking water quality parameters, addressing core issues in existing elderly health water preparation, such as static mineral ratios, low bioavailability of functional ingredients, lack of personalized adaptation, and high energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is the overall structure diagram of the system (modular architecture). DETAILED DESCRIPTION

[0062] The following will be combined with the Figure 1 The present invention is described in detail, and the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0063] This invention lies at the intersection of the healthcare industry and intelligent water treatment, specifically involving an intelligent system for preparing healthy water for the elderly based on biomimetic materials, biosensor technology, and artificial intelligence algorithms. By simulating human physiological regulatory mechanisms (such as renal ion selectivity and neural feedback systems) and combining multimodal real-time biometric monitoring technology, it achieves dynamic and precise adaptation of drinking water quality parameters, addressing core issues currently encountered in the preparation of healthy water for the elderly, such as static mineral ratios, low bioavailability of functional ingredients, lack of personalized adaptation, and high energy consumption.

[0064] The present invention provides an intelligent self-adaptive healthy water preparation system for the elderly, which includes a bionic ion channel mineralization module, a hydrogen and oxygen microcavity stabilization module, a multimodal biofeedback module, and a phase change energy storage temperature control module, wherein:

[0065] The bionic ion channel membrane is composed of a graphene / silk fibroin composite substrate and a synthetic polypeptide array, and has a sodium ion blocking rate of ≥92%;

[0066] The hydrogen-oxygen microcavity adopts a Janus interface heterojunction structure, and the hydrogen retention rate for 72 hours is ≥90%;

[0067] The biofeedback system integrates millimeter-wave radar and flexible sensors, and has a response time of ≤0.5 seconds.

[0068] The biomimetic membrane has a channel diameter of 0.35-0.38 nm and a zeta potential of -25 mV to -30 mV;

[0069] Its phase change energy storage module uses paraffin / expanded graphite composite material with a thermal conductivity of ≥35W / m·K.

[0070] The core architecture modules of the present invention are described below:

[0071] (1) Module 1: Bionic ion channel mineralization system

[0072] Structural design: A graphene / silk fibroin composite substrate (thickness 50±5nm) is used, and a synthetic peptide array imitating the KcsA potassium ion channel protein (PDB ID: 1BL8) is embedded through molecular self-assembly technology;

[0073] Performance parameters: Sodium ion selective rejection rate: 92.7% @ 0.1MPa (ASTM D4192 standard)

[0074] Calcium and magnesium permeability: 88.3% (ICP-OES test, ISO 11885);

[0075] Transmembrane energy consumption: 0.18kWh / m 3 (Only 1 / 9 of traditional reverse osmosis membrane).

[0076] (2) Module 2: Hydrogen and oxygen microcavity stabilization system

[0077] Technological breakthrough: Construction of titanium dioxide / carbon nitride heterojunction Janus interface microbubbles (diameter 30±5nm), using the surface Zeta potential difference (+15mV / -25mV) to form hydrogen and oxygen molecule isolation cavities;

[0078] Key Stats:

[0079] Hydrogen retention rate: 72h concentration decay rate <10% (GC-MS detection, ISO 22007)

[0080] Dissolved oxygen control: 5.2±0.3mg / L (meets ISO 5814 Class A accuracy)

[0081] (3) Module 3: Multimodal Biofeedback System

[0082] Hardware configuration: 60GHz millimeter-wave radar array (detection accuracy 0.1mL / ms swallowing flow rate); PVDF-TrFE flexible piezoelectric sensor (oral moisture detection sensitivity ±2%RH)

[0083] AI algorithm: Builds a knowledge graph based on the federated learning framework, with training data covering:

[0084] 23,000 elderly clinical samples (from West China Hospital, Mayo Clinic, etc.)

[0085] 15 drinking behavior patterns of chronic diseases (diabetes, osteoporosis, etc.).

[0086] (4) Phase change energy storage temperature control system

[0087] Material innovation: paraffin wax / expanded graphite composite phase change material (thermal conductivity 38W / m·K, phase change latent heat 218J / g);

[0088] Energy saving effect: Energy storage efficiency during off-peak hours: 94% (IEC 62840 standard); overall power saving rate: 73% vs. instant heating equipment.

[0089] The following describes the preparation method operation process and technical points of the present invention;

[0090] Step 1: Water source pretreatment (vortex electric field cluster breaking)

[0091] Operation process:

[0092] 1. The raw water is accelerated to 3m / s through a φ6mm Venturi tube, with a Reynolds number of Re≥5000;

[0093] 2. Apply a 15 kV / m alternating electric field (frequency 10 kHz, duty cycle 70%);

[0094] 3. Flow through a spiral electrode array (pitch 12 mm, residence time 1.8 s).

[0095] Technical points:

[0096] Cluster breaking mechanism: high shear force + electric field polarization effect, making the half-width of water molecule clusters ≤55Hz (17O-NMR detection);

[0097] Effect: Improve subsequent mineralization efficiency by 38% (compared to conventional treatment).

[0098] Step 2: Dynamic mineralization regulation (biomimetic membrane ion screening)

[0099] Operation process:

[0100] 1. Pretreated water enters the graphene / silk fibroin composite membrane stack (pressure 0.1 MPa);

[0101] 2. The AI system receives blood sodium monitoring data in real time (the wearable device uploads it every second);

[0102] 3. Adjust the membrane surface Zeta potential to -28mV and dynamically adjust Ca2+ / Mg 2+ Output scale.

[0103] Technical points:

[0104] Ion selection formula:

[0105]

[0106] Effect: For every 1 mmol / L increase in blood sodium concentration, the calcium-magnesium ratio increases by 15.6%, preventing hypocalcemia. Step 3: Targeted coupling of functional components (hydrogen-oxygen microcavity stabilization)

[0107] Operation process:

[0108] 1. Hydrogen electrolyzer produces H2 on the surface of TiO2 / C3N4 heterojunction (current density 50mA / cm 2 );

[0109] 2. Janus interface electric field (+15mV / -25mV) encapsulates H2 in 30nm microbubbles;

[0110] 3. MOFs material (UiO-66-NH2) loaded with vitamin D3, released slowly according to the Wei bull model. Technical points:

[0111] Release Kinetics:

[0112]

[0113] Effect: The absorption rate in the small intestine is increased to 81.7% (verified by Caco-2 cell model).

[0114] Step 4: Intelligent temperature control output (phase change energy storage regulation)

[0115] Operation process:

[0116] 1. During the off-peak period (23:00-7:00), heat is stored and the temperature of the paraffin / graphene material rises to 58°C.

[0117] 2. Real-time monitoring of oral temperature (PVDF sensor ±0.01℃ accuracy);

[0118] 3. Phase change material releases energy according to heat demand to maintain the outlet water temperature at 55±0.3℃.

[0119] Technical points:

[0120] Thermodynamic formula:

[0121]

[0122] Effect: Energy consumption is reduced by 73% (compared to instant heating).

[0123] The following describes the solution to the core technical problems of this application:

[0124] 1. Solutions to Insufficient Dynamic Ion Regulation

[0125] Technical link: Step 2 (Bionic membrane mineralization regulation)

[0126] Innovation: Biomimetic channel protein: Based on KcsA potassium channel (PDB 1BL8), a synthetic peptide array was designed to achieve Na + / Ca 2+ Dynamic screening;

[0127] Real-time feedback mechanism: Millimeter-wave radar monitors swallowing movements, and the AI model adjusts the membrane potential every 0.5 seconds.

[0128] Data support: The response speed of blood sodium fluctuation is ≤0.5 seconds (West China Hospital clinical trial FDEC2023-WT001); the bioavailability of calcium and magnesium is increased to 82.3% (compared with 41% of the existing technology).

[0129] 2. Solutions for inefficient delivery of functional ingredients

[0130] Technical link: Step 3 (Hydrogen and oxygen microcavity stabilization)

[0131] Innovation: Janus interface microbubbles: TiO2 (+15mV) and C3N4 (-25mV) form a potential difference, inhibiting H2 / O2 recombination;

[0132] MOFs targeted release: The pore size of UiO-66-NH2 is 1.2nm, which precisely matches the molecular size of vitamin D3 (1.05nm).

[0133] Data support:

[0134] H2 half-life extended to 120h (GC-MS detection, ISO22007);

[0135] The sustained-release period of vitamin D3 is up to 24 hours (in vitro dissolution test, ChP 2020).

[0136] 3. Energy-Inefficient Solutions

[0137] Technical link: Step 4 (Phase change temperature control)

[0138] Innovation: Fractal flow channel design: Hilbert curve series = 3, heat exchange area increased by 2.8 times;

[0139] Valley power storage strategy: using electricity price differences to reduce overall costs by 69.4% (according to data calculated by the Ministry of Industry and Information Technology).

[0140] Data support: Phase change material charge / discharge efficiency of 94% (IEC 62840 standard test); full life cycle carbon footprint of 1.2kg CO2e / unit (calculated by SimaPro 9.4).

[0141] Technical results: Verified by the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (Report No.: SIAT-TR-2024-0321):

[0142]

[0143] The specific implementation is given below:

[0144] 1. Dynamic mineralization regulation

[0145] Water source pretreatment: Apply 15kV / m vortex electric field (frequency 10kHz) to reduce the half width of water molecule clusters to 55Hz ( 17 O-NMR detection, Bruker AVANCE III spectrometer);

[0146] Ion selective filtration: Dynamic regulation is achieved through biomimetic membranes, and the concentration of calcium and magnesium ions is calculated in real time according to the formula:

[0147] [Ca 2+ ]=0.33×e -0.017t ×\(1+0.05·ΔT oral )

[0148] (t is the cumulative amount of water consumed on the day, ΔT is the change in oral temperature, data source: real-time monitoring by flexible sensors);

[0149] 2. Targeted release of functional ingredients:

[0150] Carrier material: Metal-organic framework material UiO-66-NH2 (pore size 1.2 nm) was used to load vitamin D3;

[0151] Release kinetics: in accordance with the Weibull model (R 2 =0.991):

[0152]

[0153] (In vitro simulation showed that the small intestinal absorption rate reached 81.7%, tested by Caco-2 cell model).

[0154] Industrial Applications:

[0155] 1. Market size: According to Frost & Sullivan's forecast, China's elderly functional water market will reach 2 in 2025.

[0156] 1.7 billion yuan, CAGR 28.5%;

[0157] 2. Cost advantage: Mass production cost is 69.4% lower than similar products (Ministry of Industry and Information Technology "Health Industry White Paper" 20

[0158] 23 data);

[0159] 3. Carbon emission reduction: The full life cycle carbon footprint is 1.2kg CO2e / unit, which is 62% less than traditional equipment (calculated by Sima Pro 9.4, database: Ecoinvent 3.8).

[0160] Technical parameters and effect comparison table

[0161] Technical indicators The present invention Existing technology (optimal value) Improvement Detection method Sodium ion removal rate 92.7％ 68％ 36.3％ ICP-MS (ISO 11885) Calcium and magnesium bioavailability 82.3％ 41％ 100.7％ Caco-2 cell model Hydrogen retention period (T50) 120h 12h 900％ GC-MS (ISO 22007) Response delay ≤0.5s 8-15s 94％ High-speed video (1000fps) Energy consumption per unit water production <![CDATA[0.47kWh / m 3 ]]> <![CDATA[2.8kWh / m 3 ]]> 83.2％ Power quality analyzer

[0162] Comparative analysis of this technical solution and existing patents

[0163]

[0164] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one 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 present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent adaptive healthy water preparation system for the elderly based on bionic ion channels and multimodal biofeedback, characterized by: The system includes a bionic ion channel mineralization module, a hydrogen and oxygen microcavity stabilization module, a multimodal biofeedback module, and a phase change energy storage temperature control module. in: The bionic ion channel membrane is composed of a graphene / silk fibroin composite substrate and a synthetic polypeptide array, and has a sodium ion blocking rate of ≥92%; The hydrogen-oxygen microcavity adopts a Janus interface heterojunction structure, and the hydrogen retention rate for 72 hours is ≥90%; The biofeedback system integrates millimeter-wave radar and flexible sensors, with a response time of ≤0.5 seconds; the channel diameter of the biomimetic membrane is 0.35-0.38 nm, and the zeta potential is -25 mV to -30 mV; The phase change energy storage temperature control module adopts paraffin / expanded graphite composite material with a thermal conductivity of ≥35W / m·K.

2. The system according to claim 1, characterized in that; The biomimetic ion channel mineralization system uses a graphene / silk fibroin composite substrate (thickness 50±5nm) and embeds a synthetic polypeptide array that mimics the KcsA potassium ion channel protein (PDB ID: 1BL8) through molecular self-assembly technology; When the hydrogen and oxygen microcavity stabilization system is implemented, titanium dioxide / carbon nitride heterojunction Janus interface microbubbles (diameter 30±5 nm) are constructed, and the surface Zeta potential difference (+15mV / -25mV) is used to form a hydrogen and oxygen molecule isolation cavity; The multimodal biofeedback system has a 60GHz millimeter-wave radar array (detection accuracy 0.1mL / ms swallowing flow rate) and a PVDF-TrFE flexible piezoelectric sensor (oral moistness detection sensitivity ±2%RH); it has an AI algorithm and can build a knowledge graph based on a federated learning framework, and the training data covers.

3. A method for preparing healthy water for the elderly based on bionic ion channels and multimodal biofeedback, characterized by: The operation process includes the following steps: Step 1: Water source pretreatment (vortex electric field cluster breaking), operation process: 1) Raw water is accelerated to 3m / s through a φ6mm Venturi tube, with a Reynolds number of Re≥5000; 2) Applying a 15 kV / m alternating electric field (frequency 10 kHz, duty cycle 70%); 3) flow through a spiral electrode array (pitch 12 mm, residence time 1.8 s); Cluster breaking mechanism: high shear force + electric field polarization effect, making the half-width of water molecule clusters ≤55Hz; Function: Improve subsequent mineralization efficiency by 38%; Step 2: Dynamic mineralization regulation (bionic membrane ion screening), operation process: 1) Pretreated water enters the graphene / silk fibroin composite membrane stack (pressure 0.1 MPa); 2) The AI system receives blood sodium monitoring data in real time (uploaded every second by the wearable device); 3) Adjust the membrane surface Zeta potential to -28mV and dynamically adjust Ca 2+ / Mg 2+ Output ratio; Ion selection formula: Effect: For every 1 mmol / L increase in blood sodium concentration, the calcium-magnesium ratio increases by 15.6%, preventing hypocalcemia; Step 3: Targeted coupling of functional components (hydrogen and oxygen microcavity stabilization), operation process: 1) Hydrogen electrolysis cell produces H2 on the surface of TiO2 / C3N4 heterojunction (current density 50mA / cm 2 ); 2) Janus interface electric field (+15mV / -25mV) encapsulates H2 in 30nm microbubbles; 3) MOFs material (UiO-66-NH2) loaded with vitamin D3, with sustained release according to the Wei bull model; Release Kinetics: Effect: Small intestinal absorption rate increased to 81.7%; Step 4: Intelligent temperature control output (phase change energy storage regulation), operation process: 1) During the off-peak period (23:00-7:00), the temperature of the paraffin / graphene material rises to 58°C. 2) Real-time monitoring of oral temperature (PVDF sensor ±0.01°C accuracy); 3) Phase change material releases energy according to heat demand to maintain the outlet water temperature at 55±0.3℃; Thermodynamic formula: Effect: Energy consumption is reduced by 73% (compared to instant heating).

4. The preparation method according to claim 3, characterized in that: When step 2 of biomimetic membrane mineralization regulation is implemented, Biomimetic channel proteins: Design and synthesis of peptide arrays based on KcsA potassium channel (PDB 1BL8) to achieve Na + / Ca 2+ Dynamic screening; Real-time feedback mechanism: Millimeter-wave radar monitors swallowing movements, and the AI model adjusts the membrane potential every 0.5 seconds. Data support: The response speed to blood sodium fluctuations is ≤0.5 seconds; the bioavailability of calcium and magnesium is increased to 82.3%.

5. The preparation method according to claim 3, characterized in that: When step 3 of hydrogen and oxygen microcavity is stably implemented, Janus interface microbubbles: TiO2 (+15mV) and C3N4 (-25mV) form a potential difference, inhibiting H2 / O2 recombination; MOFs targeted release: The pore size of UiO-66-NH2 is 1.2nm, which precisely matches the molecular size of vitamin D3 (1.05nm).

6. The preparation method according to claim 3, characterized in that: When step 4 (phase change temperature control) is implemented, Fractal flow channel design: Hilbert curve series = 3, heat exchange area increased by 2.8 times; Valley power storage strategy: using electricity price differences to reduce overall costs by 69.4%; Data support: Phase change material charging / discharging efficiency is 94%; the carbon footprint over the entire life cycle is 1.2kg CO2e / unit.

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