CN113916617A - Intelligent bionic human respiratory tract multi-part inhaled gas sampling method - Google Patents

Intelligent bionic human respiratory tract multi-part inhaled gas sampling method Download PDF

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Publication number
CN113916617A
CN113916617A CN202111055444.1A CN202111055444A CN113916617A CN 113916617 A CN113916617 A CN 113916617A CN 202111055444 A CN202111055444 A CN 202111055444A CN 113916617 A CN113916617 A CN 113916617A
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respiratory tract
parts
human
bionic
gas
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沈路一
谷辛稼
倪晨炜
王冰沁
李子煜
李春云
石钟玉
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University of Shanghai for Science and Technology
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University of Shanghai for Science and Technology
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N1/22Devices for withdrawing samples in the gaseous state
    • G01N1/24Suction devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air

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  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
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  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Combustion & Propulsion (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

The invention relates to the technical field of medical use, in particular to a method for sampling multiple parts of an intelligent bionic human respiratory tract inhaled gas, which designs and manufactures the parts of the bionic human respiratory tract according to the respiratory state of the physiological respiratory characteristics of a human body and the physiological environment characteristics of the parts of the respiratory tract, collects gas samples when the inhaled gas flows through the parts in the bionic respiratory process, is used for detecting the physical properties, chemical components and microorganism types and the content, activity and functional state of the gas at the parts of the respiratory tract, simulates the physiological environment of the parts of the respiratory tract when the human body breathes under the physiological state by an artificial intelligence technology, contacts with the surface of a detection biochip, generates biological reaction, and performs further experimental analysis on detected signals. Compared with the prior art, the invention can realize effective test on harmful substances in the inhaled air by simulating the physiological environment of the human body, and has indirect reference value for maintaining the biological environment and the human health.

Description

Intelligent bionic human respiratory tract multi-part inhaled gas sampling method
Technical Field
The invention relates to the technical field of medical use, in particular to an intelligent bionic human respiratory tract multi-part inhaled gas sampling method.
Background
Respiratory diseases become one of the main health-threatening diseases, air pollution is an important factor causing the respiratory diseases, and the harmful ingredients invade the respiratory system of a human body in the process of breathing of people to cause various respiratory diseases.
However, with the recognition of the importance of the interaction between environmental factors and genes in vivo on the occurrence and development of human diseases, there is a need for intelligent equipment capable of timely and accurately detecting harmful substances in inhaled air to the human body and measuring the content and concentration of harmful substances in physiological environments of various parts of respiratory tract during physiological respiration for diagnosis and prevention of diseases.
Therefore, it is necessary to design an intelligent method for sampling inhaled gas at multiple sites of a bionic human respiratory tract, which is based on the physiological respiration characteristics of human body, such as: the method is established for collecting inhalation gas samples in the bionic human body breathing process under the breathing state set by parameters such as volume, pressure, flow, frequency and the like, and is used for various environments and medical test methods.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an intelligent bionic human respiratory tract multi-part inhaled gas sampling method, which comprises the following steps of: the method is established for collecting inhalation gas samples in the bionic human body breathing process under the breathing state set by parameters such as volume, pressure, flow, frequency and the like, and is used for various environments and medical test methods.
In order to achieve the aim, the invention provides an intelligent bionic human respiratory tract multi-part inhaled gas sampling method, which comprises the following steps:
s1: designing and manufacturing various parts of the bionic human respiratory tract according to the respiratory state of the characteristics of the human physiological respiration and the physiological environment characteristics of various parts of the respiratory tract;
the step of S1 includes the following:
s10: bionic manufacturing of various parts of the respiratory tract;
s20: collecting gas samples when the inhaled gas flows through all parts in the bionic breathing process;
s30: the device is used for detecting the physical properties, chemical compositions and microorganism types of the gas at each part of the respiratory tract and the content, activity and functional state of the gas;
s2: simulating physiological environments of all parts of the respiratory tract when breathing under the physiological state of a human body by using an artificial intelligence technology;
s3: contacting with the surface of a detection biochip, generating a biological reaction, and performing further experimental analysis on a detected signal;
the respiratory tract comprises the following parts: nasal cavity, oral cavity, throat, trachea, bronchi, alveoli;
the characteristics of the respiratory state include: capacity, pressure, flow rate, and frequency.
Compared with the prior art, the invention can realize effective test of the type, content and concentration of harmful substances in the air inhaled into the human body by simulating the human body breathing state, the breathing part and the breathing physiological environment through artificial intelligence and collecting the gas sample simulating the human body breathing, provides a more clinically significant detection result and has indirect reference value for maintaining the biological environment, the human health and preventing and treating diseases.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by those skilled in the art without any creative work based on the embodiments of the present invention belong to the protection scope of the present invention.
The invention provides an intelligent bionic human respiratory tract multi-part inhaled gas sampling method, which comprises the following steps:
s1: designing and manufacturing various parts of the bionic human respiratory tract according to the respiratory state of the characteristics of the human physiological respiration and the physiological environment characteristics of various parts of the respiratory tract;
the step of S1 includes the following:
s10: bionic manufacturing of various parts of the respiratory tract;
s20: collecting gas samples when the inhaled gas flows through all parts in the bionic breathing process;
s30: the device is used for detecting the physical properties, chemical compositions and microorganism types of the gas at each part of the respiratory tract and the content, activity and functional state of the gas;
s2: simulating physiological environments of all parts of the respiratory tract when breathing under the physiological state of a human body by using an artificial intelligence technology;
s3: contacting with the surface of a detection biochip, generating a biological reaction, and performing further experimental analysis on a detected signal;
the respiratory tract comprises the following parts: nasal cavity, oral cavity, throat, trachea, bronchi, alveoli;
the characteristics of the respiratory state include: capacity, pressure, flow rate, and frequency.
Example 1:
the method for sampling the multi-site inhaled gas of the intelligent bionic human respiratory tract is adopted to detect the content and concentration of various viruses, such as influenza virus and new coronavirus COVID-19, in the inhaled air in real time:
1) the method is characterized in that the parts of the bionic human respiratory tract are designed and manufactured according to the physiological environmental characteristics of the parts of the respiratory tract, such as: air collecting cavities in nasal cavity, oral cavity, throat, trachea, bronchus, and alveolus;
2) the inhaled gas in the air collecting cavities at all parts of the bionic human respiratory tract can be separated or combined and guided to a detection or biological reaction chamber, and the separated or combined collection can be switched with each other through a valve as required, for example, the gas entering the simulated nasal cavity and the simulated oral cavity is combined and enters the simulated upper respiratory tract, and the combined gas is guided out and enters the test;
3) collecting gas accumulated in multiple rhythmic breathing processes by adopting the processes of active inspiration and passive expiration for simulating rhythmicity in the physiological state of human respiration;
4) the device can simulate the physiological environment of each part of the respiratory tract when breathing under the human physiological state by the artificial intelligence technology, such as temperature, humidity, pH value and the like, so as to keep the activity state of various substances and microorganisms in the inhaled gas as close as possible to the physiological environment of each part under the human respiratory tract physiological state;
5) simulating the contact between the gas in different respiratory tract parts and the biochip for detecting virus gene in physiological environment to produce biological reaction, and converting the detected signal into transmittable signal for further experiment analysis;
6) each biochip can be taken out for further experimental analysis;
7) the application scenes are as follows: the method is characterized in that the type, concentration, content, activity and the like of the virus to be detected are monitored in real time in people cluster points such as subway stations, shopping malls, hospital halls and the like, and overproof alarm is carried out.
Example 2:
the method for sampling the multi-part inhaled gas of the intelligent bionic human respiratory tract is adopted to detect the content and concentration of various harmful substances in the inhaled air, such as SO2, NO2, CO, O3, PM2.5, PM10 and the like in real time:
1) the method is characterized in that the parts of the bionic human respiratory tract are designed and manufactured according to the physiological environmental characteristics of the parts of the respiratory tract, such as: air collecting cavities in nasal cavity, oral cavity, throat, trachea, bronchus, and alveolus;
2) the inhaled gas in the air collecting cavities at all parts of the bionic human respiratory tract can be separated or combined and guided to a detection or biological reaction chamber, and the separated or combined collection can be switched with each other through a valve as required, for example, the gas entering the simulated nasal cavity and the simulated oral cavity is combined and enters the simulated upper respiratory tract, and the combined gas is guided out and enters the test;
3) collecting gas accumulated in multiple rhythmic breathing processes by adopting the processes of active inspiration and passive expiration for simulating rhythmicity in the physiological state of human respiration;
4) the device can simulate the physiological environment of each part of the respiratory tract when breathing under the human physiological state by the artificial intelligence technology, such as temperature, humidity, pH value and the like, so as to keep the activity state of various substances and microorganisms in the inhaled gas as close as possible to the physiological environment of each part under the human respiratory tract physiological state;
5) simulating the contact between the gas of each part of the respiratory tract and the surface of the detection module under the condition of physiological environment, generating biological reaction, and converting the detected signal into a transmittable signal to output for further experimental analysis;
6) each biochip can be taken out for further experimental analysis;
7) the application scenes are as follows: the method is characterized in that the type, concentration, content, activity and the like of the virus to be detected are monitored in real time in people cluster points such as subway stations, shopping malls, hospital halls and the like, and overproof alarm is carried out.
Example 3:
the method for sampling the multi-site inhaled gas of the intelligent bionic human respiratory tract is adopted to detect various harmful substances, such as SO2, NO2, CO, O3, PM2.5, PM10 and the like, in the inhaled air of the children and the types, the contents and the concentrations of microorganisms in real time:
1) the method is characterized in that the parts of the bionic human respiratory tract are designed and manufactured according to the physiological environmental characteristics of the parts of the respiratory tract, such as: air collecting cavities in nasal cavity, oral cavity, throat, trachea, bronchus, and alveolus;
2) the inhaled gas in the air collecting cavities at all parts of the bionic human respiratory tract can be separated or combined and guided to a detection or biological reaction chamber, and the separated or combined collection can be switched with each other through a valve as required, for example, the gas entering the simulated nasal cavity and the simulated oral cavity is combined and enters the simulated upper respiratory tract, and the combined gas is guided out and enters the test;
3) the process of active inspiration and passive expiration simulating the rhythmicity of human breathing physiological state is adopted to collect the gas accumulated in the process of multiple rhythmical breathings. The breathing frequency of the children is faster than that of adults, the system can adjust the simulated breathing frequency according to needs, and for example, the corresponding breathing frequency can be set in kindergartens and primary schools;
4) the device can simulate the physiological environment of each part of the respiratory tract when breathing under the human physiological state by the artificial intelligence technology, such as temperature, humidity, pH value and the like, so as to keep the activity state of various substances and microorganisms in the inhaled gas as close as possible to the physiological environment of each part under the human respiratory tract physiological state;
5) simulating the contact between the gas of each part of the respiratory tract and the surface of the detection module under the condition of physiological environment, generating biological reaction, and converting the detected signal into a transmittable signal to output for further experimental analysis;
6) each biochip can be taken out for further experimental analysis;
7) the application scenes are as follows: at child concentration points such as schools, playgrounds, kindergartens and the like, the types, concentrations, contents, activities and the like of harmful substances and viruses in the air to be detected are monitored in real time, and standard exceeding alarm is carried out.
The invention solves the problem that the traditional equipment can not detect the content and the concentration of harmful substances in the physiological environment of each part of the respiratory tract, and can more accurately sample the respiratory tract part of a human body and the gas in the physiological environment in an artificial intelligent simulation mode, thereby providing a detection result with more clinical significance and having indirect reference value for maintaining the biological environment, the human health and preventing and treating diseases.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (3)

1. A method for sampling the inhaled gas of multiple parts of an intelligent bionic human respiratory tract is characterized by comprising the following steps: the method comprises the following steps:
s1: designing and manufacturing various parts of the bionic human respiratory tract according to the respiratory state of the characteristics of the human physiological respiration and the physiological environment characteristics of various parts of the respiratory tract;
the step of S1 includes the following:
s10: bionic manufacturing of various parts of the respiratory tract;
s20: collecting gas samples when the inhaled gas flows through all parts in the bionic breathing process;
s30: the device is used for detecting the physical properties, chemical compositions and microorganism types of the gas at each part of the respiratory tract and the content, activity and functional state of the gas;
s2: simulating physiological environments of all parts of the respiratory tract when breathing under the physiological state of a human body by using an artificial intelligence technology;
s3: contacting with the surface of the detection biochip, generating biological reaction, and further analyzing the detected signal.
2. The method for intelligently sampling the inhaled gas at multiple parts of the human bionic respiratory tract according to claim 1, wherein the method comprises the following steps: the respiratory tract comprises the following parts: nasal cavity, oral cavity, throat, trachea, bronchus, and alveolus.
3. The method for intelligently sampling the inhaled gas at multiple parts of the human bionic respiratory tract according to claim 1, wherein the method comprises the following steps: the characteristics of the respiratory state include: capacity, pressure, flow rate, and frequency.
CN202111055444.1A 2021-09-09 2021-09-09 Intelligent bionic human respiratory tract multi-part inhaled gas sampling method Pending CN113916617A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118057143A (en) * 2022-11-21 2024-05-21 北京市科学技术研究院城市安全与环境科学研究所 Air sampler based on human breathing principle

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10130266A1 (en) * 2001-06-20 2003-01-02 Peter Lueth Plotting method for general respiration curves for use with testing devices that simulate human breathing, whereby test persons are tested in a wide range or conditions and the data used to prepare generalized respiration curves
CN101466437A (en) * 2006-04-12 2009-06-24 Cl.Com有限公司 Evaluation methodology of the protection characteristics of personal protective equipments against biological agents
WO2014089588A1 (en) * 2012-12-12 2014-06-19 Simcharacters Gmbh Method and device for training in artificial respiration
CN107422109A (en) * 2017-06-13 2017-12-01 山东科技大学 Analogue system and mineral environment dust emulation mode
CN107607511A (en) * 2017-10-21 2018-01-19 云南中烟工业有限责任公司 The detection method that a kind of cigarette smoke influences on the Subcellular Localization of aquaporin 5
CN109166438A (en) * 2018-10-15 2019-01-08 西安建筑科技大学 A kind of breathing thermal manikin and its operating method sucking exposure detection for particulate pollutant human body
CN111199785A (en) * 2020-02-19 2020-05-26 清华大学 Method and system for establishing human body external respiratory system
CN111766092A (en) * 2020-07-10 2020-10-13 中国矿业大学 Virus droplet aerosol infection interactive simulation experiment system
CN112304850A (en) * 2020-11-23 2021-02-02 中国矿业大学 Self-absorption filter type protective mask comprehensive performance test experimental device and method
CN112525621A (en) * 2020-12-17 2021-03-19 辽宁省检验检测认证中心 Method and device for collecting atmospheric micro-plastic

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10130266A1 (en) * 2001-06-20 2003-01-02 Peter Lueth Plotting method for general respiration curves for use with testing devices that simulate human breathing, whereby test persons are tested in a wide range or conditions and the data used to prepare generalized respiration curves
CN101466437A (en) * 2006-04-12 2009-06-24 Cl.Com有限公司 Evaluation methodology of the protection characteristics of personal protective equipments against biological agents
WO2014089588A1 (en) * 2012-12-12 2014-06-19 Simcharacters Gmbh Method and device for training in artificial respiration
CN107422109A (en) * 2017-06-13 2017-12-01 山东科技大学 Analogue system and mineral environment dust emulation mode
CN107607511A (en) * 2017-10-21 2018-01-19 云南中烟工业有限责任公司 The detection method that a kind of cigarette smoke influences on the Subcellular Localization of aquaporin 5
CN109166438A (en) * 2018-10-15 2019-01-08 西安建筑科技大学 A kind of breathing thermal manikin and its operating method sucking exposure detection for particulate pollutant human body
CN111199785A (en) * 2020-02-19 2020-05-26 清华大学 Method and system for establishing human body external respiratory system
CN111766092A (en) * 2020-07-10 2020-10-13 中国矿业大学 Virus droplet aerosol infection interactive simulation experiment system
CN112304850A (en) * 2020-11-23 2021-02-02 中国矿业大学 Self-absorption filter type protective mask comprehensive performance test experimental device and method
CN112525621A (en) * 2020-12-17 2021-03-19 辽宁省检验检测认证中心 Method and device for collecting atmospheric micro-plastic

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118057143A (en) * 2022-11-21 2024-05-21 北京市科学技术研究院城市安全与环境科学研究所 Air sampler based on human breathing principle

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