CN113749641A - Breath component analysis system for lung cancer screening - Google Patents
Breath component analysis system for lung cancer screening Download PDFInfo
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Abstract
The invention provides an exhaled breath component analysis system for lung cancer screening, which belongs to the technical field of medical equipment and comprises a gas collection processing module, a Raman scattering processing module and a Raman scattering processing module, wherein the gas collection processing module is used for collecting gas and carrying out Raman scattering processing on the collected gas to obtain a Raman scattering signal of the gas; the first processing module is used for processing the Raman scattering signals, eliminating signal errors and obtaining corresponding electric signals; the second processing module is used for processing the electric signal, eliminating noise interference and errors and obtaining a gas frequency shift image; and the judgment and analysis module is used for comparing the obtained gas frequency shift image with the measured image in the Raman frequency shift database to judge the gas type. The invention has the advantages of high operation speed, accuracy and simplicity in peak searching, obvious spectral peak characteristics, realization of qualitative molecular recognition of spectral data, and improvement of qualitative and quantitative analysis effects and accuracy; the detection range of the Raman detection waveband is wide, the detection period is short, no damage is caused to a gas sample, and repeated detection can be carried out for many times; no consumption of carrier gas.
Description
Technical Field
The invention relates to the technical field of medical equipment, in particular to an expiratory component analysis system for lung cancer screening.
Background
Lung cancer is one of the malignant tumors which seriously threaten the health and life of people in the world at present, and although the diagnosis and treatment of the lung cancer are greatly improved, most patients have advanced diagnosis and poor prognosis. Early diagnosis and treatment are key to improving the survival rate of lung cancer patients.
The 5-year survival rate after the early lung cancer radical treatment is 40-50%. Traditional lung cancer screening methods are chest X-ray, sputum cytology and fiberbronchoscopy. In recent years, diagnostic methods such as low dose helical CT, fluorobronchoscope, Positron Emission Tomography (PET), and chromosomal abnormalities and gene mutations have emerged. The above methods are expensive, have high technical requirements and do not significantly improve survival rates.
Volatile organic compounds in human breath are closely related to human metabolism, and lung cancer detection can be performed by judging breath components. At present, the conventional simple lung cancer early diagnosis and dynamic monitoring means are lacking clinically, so that the simple, efficient and noninvasive lung cancer screening means obtained by combining with the judgment of the exhalation component is very important.
Disclosure of Invention
The present invention is directed to a breath composition analysis system for lung cancer screening, which solves at least one of the problems of the related art.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an expiratory component analysis system for lung cancer screening, which comprises:
the gas collecting and processing module is used for collecting gas and performing Raman scattering processing on the collected gas to obtain a gas Raman scattering signal;
the first processing module is used for processing the Raman scattering signals, eliminating signal errors and obtaining corresponding electric signals;
the second processing module is used for processing the electric signal, eliminating noise interference and errors and obtaining a gas frequency shift image;
and the judgment and analysis module is used for comparing the obtained gas frequency shift image with the measured image in the Raman frequency shift database to judge the gas type.
Preferably, the raman scattering signal is processed by baseline correction, mean centering, normalization processing, and spectrum smoothing processing to eliminate signal errors and obtain corresponding electrical signals.
Preferably, the electric signal is processed by a smoothing process, an automatic peak searching analysis and a least square method optimization method, so that noise interference and errors are eliminated, and a gas frequency shift image is obtained.
Preferably, the gas collection processing module comprises a gas path unit and a light guide path unit; the light guide unit comprises a laser emission mechanism and a light conduction mechanism;
the laser emission mechanism emits laser to irradiate the gas collected by the gas circuit unit, and the light irradiated with the gas generates a Raman scattering signal through conduction of the light conduction mechanism and is transmitted to the first processing module.
Preferably, the gas path unit comprises a filter, a pressure reducing valve, a gas buffer chamber, an enhancement cavity and a vacuum pump;
gas sequentially passes through the filter and the pressure reducing valve to enter the gas buffer chamber, and the gas buffer chamber is communicated with the enhancement cavity;
the laser emitted by the laser emitting mechanism irradiates the gas in the gas buffer chamber and then enters the enhancement cavity, and after multiple reflection enhancement in the enhancement cavity, the laser is emitted into the light conduction mechanism from the light collection port of the enhancement cavity;
the vacuum pump is used for vacuumizing the enhancement cavity.
Preferably, helium is introduced between the filter and the pressure reducing valve, and a pressure gauge is arranged between the pressure reducing valve and the gas buffer chamber.
Preferably, the laser emission mechanism comprises a laser emitter, and laser emitted by the laser emitter is reflected by a first total reflector after passing through a first filter, and then condensed by a first condenser to enter the gas buffer chamber.
Preferably, the light conducting mechanism includes:
the second total reflector, the second condenser, the second filter and the light splitting light path are arranged in sequence;
laser emitted from the light collection port of the enhancement cavity is reflected by the second total reflector, condensed by the second condenser, filtered by the second filter and then enters the light splitting light path, and emergent light of the light splitting light path enters the first processing module.
Preferably, the light splitting path includes:
a slit for diffracting the light passing through the second filter, and a grating for splitting the light passing through the slit.
Preferably, the first processing module comprises a controller, a charge-coupled device (CCD);
the controller is used for processing the Raman scattering signals by utilizing baseline correction, mean value centralization, normalization processing and spectrum smoothing processing and sending the Raman scattering signals to the Charge Coupled Device (CCD);
and the charge coupler CCD converts the Raman scattering signals into electric signals and inputs the electric signals into the second processing module.
The invention has the beneficial effects that: the data is subjected to smoothing processing, and the method has the advantages of high response speed, strong noise reduction capability, high signal-to-noise ratio and the like; the Savitzky-Golay filtering fitting method is that according to the average trend of an NDVI time sequence curve, a proper filtering parameter is determined, and least square fitting in a sliding window is realized by a polynomial; iterative operation is carried out by utilizing a Savitzky-Golay filtering method (convolution fitting algorithm based on least square), and the whole NDVI time sequence data is simulated to obtain a long-term variation trend; the asymmetric Gaussian function fitting method is to use segmented Gaussian function (curve) combinations to simulate the growth (phenological) rule of vegetation season, one combination represents the one-time vegetation abundance and decay process, and finally, to smoothly connect the Gaussian fitting curves to realize time sequence reconstruction. The automatic peak searching analysis model based on the comparison method realizes the qualitative molecular recognition of the spectral data by applying the advantages of fast running speed, accuracy and simplicity of peak searching of a simple comparison method. The detection range of the primary Raman detection waveband is wide; the profile of a Raman spectrum peak is steep, the characteristics are obvious, and the Raman spectrum peak is more suitable for qualitative analysis and quantitative analysis; confocal Raman can focus laser beams to a smaller wave band, and the application is wider; raman spectrum detection has no damage to the gas sample and can be repeatedly detected for many times; raman detection can be completed under mixed gas, and the detection period is short; in the Raman detection, no carrier gas is consumed.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a functional block diagram of an expiratory component analysis system for lung cancer screening according to an embodiment of the invention.
Fig. 2 is a schematic gas transmission flow chart of an expiratory component analysis system for lung cancer screening according to an embodiment of the invention.
Fig. 3 is a schematic diagram of a light conduction path of an exhaled breath component analysis system for lung cancer screening according to an embodiment of the present invention.
Fig. 4 is a block diagram of an expiratory component analysis system for lung cancer screening according to an embodiment of the invention.
Wherein: 1-a filter; 2-a pressure reducing valve; 3-a gas buffer chamber; 4-an enhancement cavity; 5-a vacuum pump; 6-pressure gauge; 7-a laser emitter; 8-a first filter; 9-a first total reflection mirror; 10-a first condenser; 11-a second total reflection mirror; 12-a second condenser; 13-a second filter; 14-a light splitting optical path; 15-a slit; 16-a grating; 17-Charge coupler CCD.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below by way of the drawings are illustrative only and are not to be construed as limiting the invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
For the purpose of facilitating an understanding of the present invention, the present invention will be further explained by way of specific embodiments with reference to the accompanying drawings, which are not intended to limit the present invention.
It should be understood by those skilled in the art that the drawings are merely schematic representations of embodiments and that the elements shown in the drawings are not necessarily required to practice the invention.
Example 1
As shown in fig. 1, an embodiment 1 of the present invention provides an expiratory component spectral data preprocessing system for early screening of lung cancer, including a gas collection processing module, a spectral processing module, a computer data processing module, and a gas component analysis and diagnosis module.
In this embodiment 1, the gas collection processing module is used for collecting exhaled gas based on the raman spectrum detection platform, and combines the gas circuit unit and the light guide unit to generate a spectrum, which lays a foundation for spectrum processing.
And the spectrum gas processing module processes the spectrum of each component of the obtained gas by using the spectrum processing module based on the Raman spectrum detection platform, converts the spectrum into an electric signal, converts the electric signal into a USB (universal serial bus) signal by a serial port and then transmits the signal to the computer data processing module.
And the computer data processing module is used for processing the obtained data by using solis-based spectral analysis software mainly through methods such as smoothing, automatic peak searching analysis, noise processing, least square model and the like.
And the gas component analysis and diagnosis module carries out qualitative analysis and quantitative analysis through the data obtained by the computer module, and compares the data with the known gas Raman frequency shift to judge which gas is.
The doctor gives a diagnosis suggestion according to the judged gas, and finally the obtained data is transmitted to a printer used by the doctor through Bluetooth to print a diagnosis report.
The gas collection processing module mainly uses a laser Raman spectrometer, scattering is generated by collision of gas and laser, and the vibration spectrum of molecules can be measured by measuring Raman shift, so that the types and the content of the molecules are determined.
The spectrum processing module is used for preprocessing the acquired spectrum, and mainly utilizes baseline correction, mean value centralization and normalization processing and spectrum smoothing processing to eliminate errors such as drift.
The computer data processing module is mainly used for processing the obtained Raman spectrum information by using computer spectrum processing software through methods such as smoothing processing, automatic peak searching analysis, least square method model and the like so as to achieve a frequency shift image without noise interference and other errors.
The gas component analysis module is mainly used for comparing the obtained gas frequency shift image with the measured image in the Raman frequency shift database and judging which gas is specific.
As shown in fig. 2, in this embodiment 1, the gas path unit mainly includes a filter, a pressure reducer, a pressure gauge, a total reflection mirror, a vacuum pump, an enhancement cavity, and a gas buffer chamber, and is mainly used for processing gas and receiving laser from the light guide path unit.
As shown in fig. 3, the optical path unit mainly includes a laser emitter, a filter, a total reflector, a condenser, a grating condenser, and a light splitting path, and is mainly used for emitting laser light and receiving combined light of gas and laser light from the air path unit.
In this embodiment 1, the laser emitter is a Samba-system solid-state laser, and the basic laser parameters include wavelength λ: 532 nm; output power Pout: 100 mW; input direct-current voltage Uin: 12V.
The smoothing process is one of the important steps of the spectrum data preprocessing and is also a one-step mathematical analysis process for analyzing the original signal of the polluted raman spectrum. The Savitzky-Golay algorithm is applied to smooth data, and the method has the advantages of high response speed, high noise reduction capability, high signal-to-noise ratio and the like. The Savitzky-Golay filtering fitting method is that according to the average trend of an NDVI time sequence curve, a proper filtering parameter is determined, and least square fitting in a sliding window is realized by a polynomial; iterative operation is carried out by utilizing a Savitzky-Golay filtering method (convolution fitting algorithm based on least square), and the whole NDVI time sequence data is simulated to obtain a long-term variation trend. The asymmetric Gaussian function fitting method is to use segmented Gaussian function (curve) combinations to simulate the growth (phenological) rule of vegetation season, one combination represents the one-time vegetation abundance and decay process, and finally, to smoothly connect the Gaussian fitting curves to realize time sequence reconstruction. The specific process comprises the following steps: interval extraction (selecting a maximum or minimum interval as a local fitting interval in the time dimension), local fitting (fitting local interval data using a gaussian fitting function), and global connection (merging local fitting results).
The automatic peak searching analysis model based on the comparison method realizes the qualitative molecular recognition of the spectral data by applying the advantages of fast running speed, accuracy and simplicity of peak searching of a simple comparison method. The comparison method is a method of establishing a threshold value after judging that a peak exists in a spectral line and then searching a maximum value point from data above the threshold value. And judging whether the peak value is larger than the threshold value or not by setting the threshold value, if so, calculating and determining the peak value, and then outputting and marking a waveform. And if the peak value is not larger than the threshold value, directly ending the judgment.
In summary, in this embodiment 1, in the system, the gas collection processing module is used to perform gas collection processing, raman spectrum processing is performed to obtain the raman shift frequency of each gas, and then the raman shift frequency is sent to the spectrum processing module to be processed and converted into an electrical signal, and the electrical signal is sent to the computer data processing module, and the spectrum data preprocessing is completed by combining computer software, so that the influence of the interference signal on the raman spectrum signal is reduced, and the system is prepared for the gas component analysis module in an early stage. The early lung cancer detection technology overcomes the defects that the detection of the expired air of a patient is simple, convenient and noninvasive compared with some traditional detection means. Advantages over other spectroscopic detection techniques include:
primary raman detection band range: 50cm < -1 > to 4000cm < -1 > and wide detection range; the profile of a Raman spectrum peak is steep, the characteristics are obvious, and the Raman spectrum peak is more suitable for qualitative analysis and quantitative analysis; confocal Raman can focus laser beams to dozens of micrometers, and the application is wider; raman spectrum detection has no damage to the gas sample and can be repeatedly detected for many times; raman detection can be completed under mixed gas, and the detection period is short; in the Raman detection, no carrier gas is consumed.
Example 2
As shown in fig. 4, embodiment 2 of the present invention provides an expiratory component analysis system for lung cancer screening, including:
the gas collecting and processing module is used for collecting gas and performing Raman scattering processing on the collected gas to obtain a gas Raman scattering signal;
the first processing module (spectrum processing module) is used for processing the Raman scattering signals, eliminating signal errors and obtaining corresponding electric signals;
the second processing module (computer data processing module) is used for processing the electric signal, eliminating noise interference and errors and obtaining a gas frequency shift image;
and the judgment analysis module (gas component analysis module) is used for comparing the obtained gas frequency shift image with the measured image in the Raman frequency shift database and judging the type of the gas.
In this embodiment 2, the raman scattering signal is processed by baseline correction, mean centering, normalization processing, and spectrum smoothing processing to eliminate the signal error, and a corresponding electrical signal is obtained.
And processing the electric signal by a smoothing process, an automatic peak searching analysis and a least square method optimization method, eliminating noise interference and errors and obtaining a gas frequency shift image.
The gas collecting and processing module comprises a gas path unit and a light guide path unit; the light guide unit comprises a laser emission mechanism and a light conduction mechanism;
the laser emission mechanism emits laser to irradiate the gas collected by the gas circuit unit, and the light irradiated with the gas generates a Raman scattering signal through conduction of the light conduction mechanism and is transmitted to the first processing module.
The gas circuit unit comprises a filter 1, a pressure reducing valve 2, a gas buffer chamber 3, an enhancement cavity 4 and a vacuum pump 5; gas sequentially passes through the filter 1 and the pressure reducing valve 2 to enter the gas buffer chamber 3, and the gas buffer chamber 3 is communicated with the enhancement cavity 4;
the laser emitted by the laser emitting mechanism irradiates the gas in the gas buffer chamber 3 and then enters the enhancement cavity 4, and after multiple reflection enhancement in the enhancement cavity 4, the laser is emitted into the light conduction mechanism from the light collection port of the enhancement cavity 4;
the vacuum pump 5 is used for vacuumizing the enhancement cavity 4.
Helium is introduced between the filter 1 and the pressure reducing valve 2, and a pressure gauge 6 is arranged between the pressure reducing valve 2 and the gas buffer chamber 3.
The laser emission mechanism comprises a laser emitter 7, and laser emitted by the laser emitter 7 is reflected by a first total reflector 9 after passing through a first filter 8 and then is condensed by a first condenser 10 to enter the gas buffer chamber 3.
The light conduction mechanism includes:
the second total reflector 11, the second condenser 12, the second filter 13 and the light splitting path 14 are arranged in sequence; laser emitted from the light collection port of the enhancement cavity 4 is reflected by the second total reflection mirror 11, condensed by the second condensing mirror 12, filtered by the second filter 13, and then enters the light splitting light path 14, and emergent light of the light splitting light path 14 enters the first processing module.
The spectroscopic optical path 14 includes:
a slit 15 that diffracts the light passing through the second filter 13, and a grating 16 that disperses the light passing through the slit 15.
The first processing module comprises a controller, a charge-coupled device (CCD) 17;
the controller (not shown) is used for processing the Raman scattering signal by baseline correction, mean centering, normalization processing and spectrum smoothing processing and sending the Raman scattering signal to the charge-coupled device CCD 18;
the charge-coupled device CCD17 converts the raman scattering signal into an electrical signal, which is input to the second processing module.
As shown in fig. 4, in this embodiment 2, the breath composition analysis system for lung cancer screening uses the following steps:
step 1: the gas collecting and processing module collects the exhaled gas and sends the obtained gas into the gas circuit unit.
Step 2: the gas circuit unit mainly receives gas from exhalation, enters the filter 1 through a valve, filters out useless impurities and then reduces the pressure of the gas through a pressure reducing device (a pressure reducing valve).
And step 3: the laser emission mechanism in the light guide path unit emits laser through the laser emitter, penetrates through the first filter lens, filters other dispersed light, processes the light through the first total reflector, and then sends the light into the gas buffer chamber of the gas path unit through the first condenser lens.
And 4, step 4: and (3) adding helium gas on the basis of the step 2, and feeding the helium gas into the gas buffer chamber. At this time, the laser light from the light guide unit is received.
And 5: in the gas buffer chamber, a part of the gas and laser combination enters the enhancement cavity, a total reflection mirror is arranged in the enhancement cavity, the light is totally reflected for multiple times, and the vacuum pump can evacuate the enhancement cavity in advance to prevent other gases from being doped.
Step 6: under the premise of the step 5, a part of gas passes through the light collecting port, passes through the second total reflection mirror, passes through the second condenser to condense light, then passes through the second filter to be subjected to light treatment, enters a light splitting light path, is repeatedly treated by the grating and the condenser, enters the controller and the charge coupled detector CCD to be converted into an electric signal, and is sent to the computer data processing module.
And 7: the computer data processing module mainly processes the obtained data by methods such as smoothing, an automatic peak-finding analysis model, a least square method model and the like through solis-based spectral analysis software, and then enters a final module shown in figure 1 to perform a gas component analysis and diagnosis module.
And 8: the gas component analysis and diagnosis module carries out qualitative analysis and quantitative analysis through the data obtained by the computer module, and judges which gas is by comparing the known gas Raman shift frequency with the computer.
In this embodiment 2, based on the determined gas, a diagnosis suggestion can be given, the obtained data report is transmitted to expert doctors in various fields throughout the country through a network, the suggestions of the doctors are collected and collated, the final report is transmitted to the mobile phone APP of the examiner through the network, and the detection report is transmitted to the established cloud database for medical data analysis later.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to the specific embodiments shown in the drawings, it is not intended to limit the scope of the present disclosure, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive faculty based on the technical solutions disclosed in the present disclosure.
Claims (10)
1. An breath composition analysis system for lung cancer screening, comprising:
the gas collecting and processing module is used for collecting gas and performing Raman scattering processing on the collected gas to obtain a gas Raman scattering signal;
the first processing module is used for processing the Raman scattering signals, eliminating signal errors and obtaining corresponding electric signals;
the second processing module is used for processing the electric signal, eliminating noise interference and errors and obtaining a gas frequency shift image;
and the judgment and analysis module is used for comparing the obtained gas frequency shift image with the measured image in the Raman frequency shift database to judge the gas type.
2. The breath component analysis system for lung cancer screening of claim 1, wherein the raman scattering signal is processed by baseline correction, mean centering, normalization, and spectral smoothing to remove signal errors and obtain corresponding electrical signals.
3. The breath component analysis system for lung cancer screening of claim 1, wherein the electrical signal is processed by a smoothing process, an automatic peak finding analysis, and a least square optimization method to eliminate noise interference and errors, so as to obtain a gas frequency shift image.
4. The breath component analysis system for lung cancer screening of claim 1, wherein the gas collection processing module comprises a gas path unit and a light guide path unit; the light guide unit comprises a laser emission mechanism and a light conduction mechanism;
the laser emission mechanism emits laser to irradiate the gas collected by the gas circuit unit, and the light irradiated with the gas generates a Raman scattering signal through conduction of the light conduction mechanism and is transmitted to the first processing module.
5. The breath composition analysis system for lung cancer screening according to claim 4, wherein the gas circuit unit comprises a filter (1), a pressure reducing valve (2), a gas buffer chamber (3), an enhancement chamber (4) and a vacuum pump (5);
gas sequentially passes through the filter (1) and the pressure reducing valve (2) and enters the gas buffer chamber (3), and the gas buffer chamber (3) is communicated with the enhancement cavity (4);
the laser emitted by the laser emitting mechanism irradiates the gas in the gas buffer chamber (3), enters the enhancement cavity (4), is enhanced by multiple reflections in the enhancement cavity (4), and is emitted into the light conduction mechanism from the light collection port of the enhancement cavity (4);
the vacuum pump (5) is used for vacuumizing the enhancement cavity (4).
6. The breath component analysis system for lung cancer screening according to claim 5, wherein helium gas is introduced between the filter (1) and the pressure reducing valve (2), and a pressure gauge (6) is arranged between the pressure reducing valve (2) and the gas buffer chamber (3).
7. The breath component analysis system for lung cancer screening according to claim 5, wherein the laser emitting mechanism comprises a laser emitter (7), and the laser emitted by the laser emitter (7) is reflected by a first total reflection mirror (9) after passing through a first filter (8) and then is condensed into the gas buffer chamber (3) through a first condenser (10).
8. The breath component analysis system for lung cancer screening of claim 5, wherein the light conduction mechanism comprises:
the second total reflector (11), the second condenser (12), the second filter (13) and the light splitting path (14) are arranged in sequence;
laser emitted from a light collection port of the enhancement cavity (4) is reflected by the second total reflector (11), condensed by the second condenser (12), filtered by the second filter (13) and then enters the light splitting light path (14), and emergent light of the light splitting light path (14) enters the first processing module.
9. The breath composition analysis system for lung cancer screening of claim 8, wherein the spectroscopic light path (14) comprises:
a slit (15) for diffracting the light passing through the second filter (13), and a grating (16) for splitting the light passing through the slit (15).
10. The breath composition analysis system for lung cancer screening of claim 1, wherein the first processing module comprises a controller (17), a charge-coupled device (CCD) (18);
the controller (17) is used for processing the Raman scattering signals by utilizing baseline correction, mean value centralization, normalization processing and spectrum smoothing processing and sending the Raman scattering signals to the Charge Coupled Device (CCD) (18);
and the charge coupler CCD (18) converts the Raman scattering signals into electric signals and inputs the electric signals into the second processing module.
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2021
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| CN1154473A (en) * | 1995-08-09 | 1997-07-16 | 株式会社京都第一科学 | Optical measuring method of expiration components |
| CN102680451A (en) * | 2012-05-04 | 2012-09-19 | 华中科技大学 | System for removing Raman spectral scattering background noise |
| CN103018282A (en) * | 2012-12-21 | 2013-04-03 | 上海交通大学 | Electronic nose system for early detection of lung cancer |
| CN203365314U (en) * | 2013-04-22 | 2013-12-25 | 浙江师范大学 | Lung cancer detection device based on incoherent cavity enhanced spectroscopy |
| CN206670682U (en) * | 2017-03-31 | 2017-11-24 | 北京燕山和成节能环保工程技术有限公司 | A kind of gas controlling device |
| CN111650180A (en) * | 2020-06-08 | 2020-09-11 | 西安电子科技大学 | Raman spectrum imaging system based on signal coding and space compression |
| KR102268711B1 (en) * | 2020-09-25 | 2021-06-24 | 국방과학연구소 | Examination system and examination apparatus for exhalation |
| CN112869691A (en) * | 2021-02-03 | 2021-06-01 | 清华大学 | Dual-wavelength enhanced Raman endoscopic noninvasive pathology detection device and detection method |
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