WO2022267966A1

WO2022267966A1 - Method for detecting microorganisms, gas components and particulate matter in indoor air

Info

Publication number: WO2022267966A1
Application number: PCT/CN2022/099029
Authority: WO
Inventors: 张玉芝
Original assignee: 张玉芝
Priority date: 2021-06-25
Filing date: 2022-06-15
Publication date: 2022-12-29
Also published as: CN113670888A

Abstract

Provided in the present invention is a method for comprehensively detecting microorganisms and gas components in air. The method comprises: (1) performing electric discharging on a target gas, so as to load same with an electric charge; (2) driving the target gas to pass through an electrostatic adsorption assembly, wherein an electric field is applied to the outer side of the electrostatic adsorption assembly so as to adsorb target microorganisms, and a metal micro-nano material is provided inside the electrostatic adsorption assembly; (3) emitting, along a laser light path, laser light into the electrostatic adsorption assembly; and (4) detecting a Raman signal that is emitted from the electrostatic adsorption assembly, and performing microorganism detection on the basis of the Raman signal. The method of the present invention has the advantages of high measurement sensitivity, high precision, a fast measurement process, strong environmental adaptability, low costs, etc.

Description

A method for detecting microorganisms, gas components, and particles in indoor air

related application

This application claims the priority of the Chinese invention patent application: 202110710711.8, filed on June 25, 2021, entitled "A Method for Detection of Microorganisms, Gas Components, and Particulate Matter in Indoor Air".

technical field

The invention relates to the field of environmental detection, in particular to a rapid and high-sensitivity detection method for microorganisms such as viruses, and a comprehensive detection method for high-precision composite gas components and concentrations, and particle size and concentration of suspended particles.

Background technique

In the environment of human life, there are various viruses and other microorganisms in the air, such as influenza virus and other microorganisms, SARS virus and other microorganisms, new coronavirus and other microorganisms (COVID-19), etc. The detection and early warning of viruses and other microorganisms in the indoor ambient air is very necessary. The new coronavirus is sweeping the world. The cumulative number of new coronavirus infections in the world is 167 million, and the cumulative number of deaths is 0.035 billion. On May 24, there were 255,104 new cases and 5,428 new deaths. Asia, Europe, and North America are the cumulative cases most continents. The cumulative number of cases in the United States, India, and Brazil exceeded 10 million, and the number of new cases in Brazil, the United States, Argentina, Colombia, Spain, and Iran exceeded 10,000 on May 24.

With the introduction of the new crown vaccine, normalized monitoring of viruses and other microorganisms in the air in public places, such as airports, high-speed rail stations, conference rooms, etc., is the focus and difficulty of the current prevention and control of the new crown epidemic.

PCR technology is currently the most common screening method for microorganisms such as the new coronavirus, but it has disadvantages such as limited use environment, long detection time, and low accuracy rate, and cannot be applied to the detection of viruses and other microorganisms in indoor air environments.

In addition, with the development of society, people's attention to air quality and safety is increasing year by year. On the one hand, with the intensification of pollution, various toxic and harmful gases, and particulate matter make the air in the living environment affect people's health. Therefore, there is an increasing demand for a comprehensive detection device capable of fast, real-time, and high-precision detection of compound gas component concentration and particle size.

Contents of the invention

In order to overcome the deficiencies of the prior art, the present invention provides a detection device for microorganisms such as viruses in the air with high measurement sensitivity, high precision, fast measurement process and strong environmental adaptability, and it can also simultaneously detect gas components and particulate matter Comprehensive testing.

Specifically, the present invention provides a method for detecting microorganisms such as viruses in indoor air, gas components, and particulate matter, which is characterized in that it includes the following steps:

(1) Discharge the target gas so that it is charged;

(2) driving the target gas through the electrostatic adsorption assembly, an electric field is applied to the outside of the electrostatic adsorption assembly to adsorb the target microorganisms, and the electrostatic adsorption assembly has metal nano-micromaterials;

(3) emitting laser light into the electrostatic adsorption component along the laser path;

(4) Detecting the Raman signal emitted from the electrostatic adsorption component and performing microorganism detection based on the Raman signal.

In another preferred implementation manner, the strong electric field is higher than a predetermined value for disinfecting microorganisms and treating particulate matter.

In another preferred implementation manner, the method further includes: before the laser is incident on the electrostatic adsorption component, filtering the laser.

In another preferred implementation, an aspherical long-focus filter component (1.2.7) is arranged at the outlet of the adsorption component and in front of the Raman detection component (1.2.8) to perform a filter on the emitted Raman scattered light. Filter to remove background fluorescence and stray light.

In another preferred implementation manner, the method further includes using artificial intelligence image analysis and processing technology to detect microbial aerosols such as viruses based on Raman signals.

In another preferred implementation manner, the method further includes, arranging a multi-pass reflection assembly (1.2.5) on both sides of the electrostatic adsorption assembly, which has at least one reflection surface facing the adsorption assembly, the laser Incident to the reflective surface of the multi-pass reflective component (1.2.5), so that it is irradiated on the electrostatic adsorption component multiple times.

In another preferred implementation manner, it also includes performing gas component detection before or after the microbial detection.

In another preferred implementation, an air pump is arranged upstream of the electrostatic adsorption assembly to clean the electrostatic adsorption assembly through a strong air flow, and the comprehensive gas detection device also includes a temperature-controlled disinfecting assembly (1.3.2) , the temperature-controlled disinfecting component (1.3.2) is used to disinfect the gate-enrichment module.

In another preferred implementation manner, the electrostatic adsorption component is made of nano-metal material, preferably, nano-metal particle material, and more preferably, the electrostatic adsorption component includes nano-gold or nano-silver particles.

Principle of invention

The invention proposes a detection method that can realize the detection of microorganisms. In a preferred implementation mode, the present invention can not only detect microorganisms such as viruses in gas, but also detect various gas components and particles.

First of all, the method of the present invention uses a charging device to recharge microbial aerosol particles such as viruses with a certain charge in the upstream of the gas travel path, and recharges the charged microbial aerosol particles such as viruses under the force of an electrostatic field to the downstream of the gas travel path. The sol particles are separated from the air flow—that is, after the charged micro-viruses and other microbial particles enter the electric field, they are deflected under the action of the electric field force, and thus are adsorbed on the surface of the metal nano-micro-material. Other particulate matter such as PM2.5, PM10, etc. have very little charge and are under the action of an electric field. They are blown out of the gating enrichment module under the action of airflow, thereby achieving the gating effect and greatly reducing the fluorescence of the particulate matter. The impact of the effect on the detection.

By adopting the method of the present invention, by designing different plate spacing (mm), charging voltage (kV), electrostatic field strength (kV/cm), and airflow flow rate (L/min), microbial aerosol particles such as different types of viruses can be realized Efficient and high survival rate collection.

Then, apply a strong electric field to the metal nano-micromaterial in the adsorption component through the strong electric field component, so that the number of free electrons contained in it increases by at least one order of magnitude, so that the electric field intensity on the surface of the metal nanostructure is enhanced by at least 10 times, and the side/ The forward multi-pass surface-enhanced Raman effect obtains the Raman spectral information of viruses and other microbial aerosols, and combines artificial intelligence image analysis and processing technology to complete the detection of viruses and other microbial aerosols.

Specifically, the incident light is irradiated on the metal nano-micromaterial, preferably, for example, on the gold nano-micromaterial, and the electrons in the nanoparticles vibrate under the action of an external electric field. When the frequency of the incident light is equal to the natural vibration frequency of the electron, Local surface plasmon resonance will occur, and a local enhanced electric field stronger than the excited electric field will be formed on the surface of the metal nanostructure. In the present invention, by applying a strong electric field to the metal nanostructure, the free electrons in the metal are greatly increased under the excitation of the strong electric field, so that the electric field intensity on the surface of the metal nanostructure can be an order of magnitude higher than that before the electric field is applied, and the surface-enhanced Raman scattering (SERS ) is proportional to the fourth power of the surface-enhanced electric field. Therefore, the device of the present invention is sufficient to increase the Raman signal by 10 ⁴ times, that is, the signal-to-noise ratio is increased by 40 dB.

The collected Raman spectra were subjected to spectral preprocessing, S-G convolution was used to achieve spectral smoothing, multi-stage low-order polynomial convergence algorithm was used to achieve baseline alignment, and then the maximum normalization method was used for spectral normalization. The obtained spectrum adopts principal component analysis method and SVM support vector machine supervised artificial intelligence pattern recognition method to obtain a deconstruction model, so as to identify different types of microbial aerosols such as viruses. The specific algorithm formula is as follows:

S-G convolution

polynomial convergence

BL(n)=min[f(n), S(n)], n=1, 2,..., L, (2)

Normalized

Use the principal component analysis method to select several principal components with a contribution rate greater than 1% to obtain the cumulative contribution rate, and then use a certain number of sample data as the training set and prediction set respectively, and use the SVM supervised artificial intelligence pattern recognition method to establish a deconstruction The model can achieve a detection rate higher than 95%.

The polynomial kernel function of SVM:

K(x,y)=[(x·y)+1] ^d (4)

The method of the present invention completes the killing and cleaning of the enrichment chip by adopting temperature field inactivation and high-flow airflow scouring technology, and can also achieve the effect of inactivating microorganisms such as viruses by adjusting the intensity of the high-voltage electric field.

technical effect

1. The detection method of the present invention is fast, highly sensitive and preferably, it can also detect the composition and concentration of composite gas and the particle size and concentration of suspended particles with high precision. The method of the present invention first screens out the particles in the detection sample through the selection process, can greatly reduce the influence of particle fluorescence on the detection, and can increase the service life of the device.

2. The method of the present invention greatly increases the number of free electrons by applying a strong electric field to the metal nanomaterial, so that the electric field intensity on the surface of the metal nanostructure can be an order of magnitude higher than that before the electric field is applied, and then through the side/forward multi-pass Raman The surface-enhanced remultiplication technology increases the Raman signal by 10 ⁴ times, greatly improving the signal-to-noise ratio and detection sensitivity. By combining artificial intelligence image processing technology, a detection rate higher than 95% can be achieved.

3. The method of the present invention also proposes the use of temperature field inactivation and high-velocity airflow scouring to complete the killing and cleaning of the enrichment chip, which improves the service life of the detection device and reduces the detection cost.

Description of drawings

Fig. 1 is the detection conceptual schematic diagram of the inventive method;

Fig. 2 is the structural representation of the device for carrying out the method of the present invention;

3 is a schematic diagram of the principle of the gas component detection device in Example 2 of the present invention;

detailed description

In order to make the purpose, technical solutions and advantages of the inventive device clearer, the technical solutions in the invention will be clearly described below. Apparently, the described embodiments are part of the embodiments of the inventive device, not all of them. Based on the embodiments of the invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the invention.

Example 1:

As shown in Figure 1, the detection method of this embodiment is mainly divided into several steps: gating enrichment of microbial aerosols such as viruses, applying a strong electric field to metal nano-micromaterials so that the number of free electrons contained in them is greatly increased, and based on The multi-pass surface-enhanced Raman effect regulated by strong electric field and artificial intelligence image analysis and processing are used to complete the detection of microbial aerosols, and finally perform airflow washing and microbial disinfecting.

As far as the specific airflow direction is concerned, the method of the present embodiment includes the following steps:

(1) Discharge the target gas so that it is charged;

(3) emit laser light into the electrostatic adsorption component along the laser path, so that the laser light is at least partially irradiated on the surface of the nanomaterial, and perform electric field enhanced Raman detection; detect the Raman signal emitted from the electrostatic adsorption component Microbial detection is performed based on the Raman signal.

Preferably, the intensity of the strong electric field can also be set to be higher than a certain value, for example, up to thousands of volts, so as to disinfect microorganisms and treat particulate matter.

In addition, before the laser light is incident on the electrostatic adsorption component, the laser light is filtered. An aspherical long-focus filter component is arranged at the exit of the adsorption component and in front of the Raman detection component to filter the outgoing Raman scattered light and filter out background fluorescence and stray light.

Preferably, a multi-pass reflective assembly is provided on both sides of the electrostatic adsorption assembly, which has at least one reflective surface facing the adsorption assembly, and the laser is incident on the reflective surface of the multi-pass reflective assembly, so that the It is irradiated on the electrostatic adsorption assembly multiple times.

As shown in FIG. 2 , a corresponding device for implementing the method of the present invention is introduced, which includes a microorganism detection module 1 , a gas component detection module 2 (optional) and a processing control communication module 3 . The gas component detection module can be optional, and the gas to be tested can be passed into one detection module for detection, and then the gas can be passed into another detection module for detection.

The microbial detection module includes a gating enrichment module, a Raman module, and a disinfecting and cleaning module. As shown in Figure 2, the gate-enrichment module includes an air pump 1.1.1, a charging component 1.1.2 and an electrostatic adsorption component 1.1.3. The gating and enrichment module is used for gating and enriching microbial aerosols such as viruses.

In this embodiment, the charging component is installed in the charging chamber, the cavity is sealed, one end on both sides communicates with the air pump 1.1.1, and the other end communicates with the adsorption chamber of the electrostatic adsorption component 1.1.3. The charging component 1.1.2 has a high-voltage power supply and one or more sets of tungsten wire pairs with a diameter of 40 μm (other sizes can also be used). The discharge distance of the tungsten wires is set to 8mm, and the charging voltage is +5kV. Aerosol charges.

In this embodiment, an electrostatic adsorption component 1.1.3 is arranged in the adsorption chamber, and the main material of the electrostatic adsorption component 1.1.3 is formed by stacking three-dimensional flocculated gold nanomaterials. The electrostatic adsorption component is used to adsorb microorganisms in the charged target gas, and a laser path is reserved in the adsorption component. It should be noted that the reserved laser path mentioned in the present invention includes two meanings. On the one hand, it means that the gold nanomaterials in the electrostatic adsorption component are sparse enough for the laser to pass through, or that the nanomaterials in the electrostatic adsorption component are along the A sheet or planar structure is formed along the laser path, and the laser passes through gaps in the sheet structure and is at least partially irradiated on the nanometer material.

Raman module includes strong electric field component 1.2.1, laser excitation source 1.2.2, interference filter component 1.2.3, Rayleigh filter 1.2.4, multi-pass reflection component 1.2.5, laser absorption pool 1.2.6, non Spherical long focal depth filter component 1.2.7, Raman detection component 1.2.8.

The Raman module applies a strong electric field to the electrostatic adsorption component 1.1.3 through the strong electric field component 1.2.1, which greatly increases the number of free electrons contained in the electrostatic adsorption component 1.1.3, and enhances the Raman effect principle through the side/forward multi-pass surface Use the Raman detection component 1.2.8 to obtain the Raman spectrum information of microbial aerosols such as viruses. The strong electric field component 1.2.1 is arranged on the upper, lower or left and right sides of the electrostatic adsorption component, sandwiching the electrostatic adsorption component in the middle. The laser excitation source 1.2.2 is used to emit laser light into the electrostatic adsorption assembly along the laser path.

Preferably, in order to increase the adsorption effect, on both sides of the adsorption component, in addition to the strong electric field component 1.2.1, a collection electric field component is added (that is, an additional set of electrode plates is provided on the upper and lower surfaces of the adsorption component). Collecting electric field (1.1.3.1) strength E=3.5kV/cm, composed of silver material, the distance h between parallel electrode plates is 20mm, the width b is 10mm, and the length l is 100mm. The flow rate of the turbo air pump is 10L/min. This module enriches microbial aerosols such as viruses, and screens out particulate matter and achieves a gating effect.

The working process of the gating enrichment module is as follows: firstly, the gas pump 1.1.1 is started to drive the measured gas into the charged component. The tungsten wire is powered by a high-voltage power supply for high-voltage discharge. Microbial aerosol particles such as viruses with a certain charge are recharged by the charging component. The charged air further enters the electrostatic adsorption component and passes through the electrostatic adsorption component (the electrostatic adsorption component uses nano-particle materials, and the gas can pass through it). In the electrostatic adsorption component, due to the externally applied electric field, the more charged microorganisms are deflected under the action of the electric field force, and thus are adsorbed on the surface of the metal nano-micro material. Other particles such as PM2.5, PM10, etc. have very little charge, are subjected to little electric field force, and are blown out of the gate enrichment module under the action of airflow.

The charging component recharges the microbial aerosol particles such as viruses with a certain charge, and separates the charged microbial aerosol particles such as viruses from the air flow under the force of an electrostatic field—that is, charged micro-viruses and other microbial particles After entering the electric field, it is deflected under the action of the electric field force, and thus is adsorbed on the surface of the metal nano-micro material. Other particles such as PM2.5, PM10, etc. have very little charge and are under the action of the electric field. They are blown to the outside of the gating enrichment module under the action of the airflow, so as to achieve the gating effect.

At the same time, since the Raman module applies a strong electric field to the electrostatic adsorption component 1.1.3 through the strong electric field component 1.2.1, the number of free electrons contained in it increases by at least one order of magnitude, thereby increasing the electric field intensity on the surface of the metal nanostructure by at least 10 times, when the microorganisms are adsorbed to the electrostatic adsorption component 1.1.3, the laser light emitted by the laser source 1.2.2 of the Raman module is filtered by the interference filter component 1.2.3 and the Rayleigh filter 1.2.4, and finally irradiated to On the microorganisms adsorbed in the adsorption component. In this embodiment, in order to increase the interaction between the laser and the material, it is preferable to arrange a multi-pass reflective component 1.2.5 on the outside of the adsorption component, with its reflection surface facing the adsorption component 1.1.3. Moreover, the incident direction of the laser is set as an oblique incident, so that the laser is reflected by the multi-pass reflection component 1.2.5, turns back several times in the adsorption component 1.1.3, and then exits from the other side.

In this embodiment, the electric field strength of the strong electric field component in the Raman module is E=4.3kV/cm, which is used to apply a strong electric field to the surface of the nanomaterial; the laser excitation source parameters are 50 microwatts, 532nm wavelength, 1.3 micron diameter, With a depth of focus of 1 micron, the power density is 5*10 ^-5 /10 ^-8 = 500 W/cm ² . The device of the present invention can measure the surface-enhanced Raman spectrum of R6G at 10 ^-8 M, and the number of molecules irradiated by the laser is: 6.02*10 ²³ *10 ^-8 *(0.65*10 ^-5 )2*3.14*10 ^{- 5} ≈5 R6G molecules/m ³ , the signal-to-noise ratio is increased by 40dB, and the measurement sensitivity of viruses and other microorganisms is also increased by 4 orders of magnitude; the interference filter component is a 532nm interference filter; the Rayleigh filter is a notch filter, Its absorption center is located at 532nm; the multi-pass reflection component is an optical lens coated with a high-reflection film with a wavelength of 532nm; the laser absorption pool is a blackened aluminum alloy light collector; The wavelength is highly transparent; the Raman detection component is a CCD detector; as shown in Figure 2, the components in the Raman module are placed coaxially according to the optical path.

In this embodiment, the laser absorption pool is a laser trash can, made of aluminum alloy, the surface is oxidized and blackened, and placed at the end of the main optical path.

In this embodiment, the disinfecting and cleaning module uses a high-temperature heating rod and a turbo air pump in the gate-enrichment module to disinfect and clean microorganisms such as viruses in the gate-enrichment module.

In this embodiment, the processing and control communication module adopts artificial intelligence graphic analysis and processing technology, including spectral preprocessing, and then uses the principal component analysis method and SVM support vector machine supervised artificial intelligence pattern recognition method to obtain the spectrum obtained to obtain different viruses. and other unique deconstruction models for microorganisms. During the detection, the collected graphics are compared with the structural model library, so that different types of viruses and other microorganisms can be matched and identified.

In some other embodiments, the metal nanomaterial can be a plurality of two-dimensional flat metal nanoplates placed in parallel, preferably two-dimensional flat gold nanoplates, and combined with other two-dimensional flat gold nanoplates and multiple The reflective optical path is composed of the pass-reflector components, which can reflect the laser light emitted by the laser excitation source between the two-dimensional flat gold nanoplate and the multi-pass reflector components. It can effectively enhance the excitation electric field intensity and improve the detection sensitivity of the device.

Example 2

In this embodiment, in addition to the above microorganism detection, the comprehensive detection method of the present invention also includes gas component detection before or after the microorganism detection.

Gas component detection includes:

Step 2-1: Transmit light pulses of multiple wavelengths into the test gas chamber in the form of a pulse sequence with a repetition frequency of R and a pulse width of τ for testing. The dissipation time t of a single pulse of wavelength λ in the gas chamber is

The test gas chamber can be a conventional gas chamber, as long as it can allow airflow to pass through and allow light pulses to enter and exit and irradiate the gas inside.

Step 2-2: Use the light scattering method to measure the particle size and corresponding concentration of suspended particles, randomly select the test light suitable for the measurement of the scattering spectrometry from the test light of multiple wavelengths, and determine the scattering coefficient of the selected wavelength. If the wavelength of the test light is λ, the outgoing light intensity is I ₀ (λ), the test optical path length is l, and the forward scattering light intensity I _s|| (λ) is measured, multiple reference scattering coefficients (each wavelength has a reference scattering coefficient)

Substitute the obtained reference scattering coefficient into formula (5).

That is, the homogeneous scattering coefficient equation, λ _a , λ _b are two kinds of measurement wavelengths. According to this formula, under the condition of the same scattering medium, two pairs of test lights used for infrared spectroscopy measurement are substituted into the formula respectively, and multiple homogeneous scattering coefficient equations are obtained to form a group of homogeneous scattering coefficient equations.

In order to ensure that there is no interference among the signals of various wavelengths, the present invention transmits light pulses of several wavelengths into the test gas chamber in the form of a pulse sequence with a repetition frequency of R and a pulse width of τ for testing. This allows a single pulse with a wavelength of λ to have a higher peak power and a higher contrast in the detection process. At the same time, it is only necessary to ensure that the dissipation time t of a single pulse with wavelength λ in the gas chamber satisfies

This ensures that multiple test light pulses are independent of each other when measured after passing through the gas cell.

Simultaneously measure the selected multi-wavelength side scattered light intensity I _s⊥ (λ) at a specific scattering angle, and use the light scattering method to analyze the particle size and corresponding concentration of suspended particles according to the above formula (4).

Step 2-3: Use the infrared spectroscopic detection method to measure according to the above formula (8). These measurement lights can be directly transmitted and received in sequence with the light pulses used for spectroscopic measurement in the pulse sequence, or can be transmitted separately. In the infrared spectrum detection, for the gas component 1, gas component 2, gas component 3... gas component m to be measured, the corresponding test wavelengths λ ₁ , λ ₂ , λ ₃ ···λ _n ( The test wavelength at least includes the light wavelength corresponding to the absorption peak of each component), and the corresponding molar molecular absorption coefficients are respectively

The corresponding measured concentrations are c ₁ , c ₂ , c ₃ ···c _n , and the test wavelengths λ ₁ , λ ₂ , λ ₃ ···λ _n are only compatible with the corresponding gas components 1, Gas component 3... There is a strong absorption of gas component n, and the absorption of other components is negligible. The detection optical path is L, and the infrared spectrum measurement equations are obtained

Step 2-4: Simultaneously combine (5)(7)(8) (bring formula 5 and 7 into formula 8). During the solution process, since multiple reference scattering coefficients can be obtained in formula (7), when selecting When , select the reference scattering coefficient of the wavelength whose reference scattering coefficient is close to the test wavelength to determine the size of the scattering item.

For each gas component, the gas with a larger molar absorption coefficient is directly obtained from the aforementioned infrared spectrum measurement equation with the scattering item determined, and after the concentration of the gas component with a larger molar molecular absorption coefficient is obtained, it is brought back to the infrared spectrum measurement equation For those with small molar molecular absorption coefficients, the accurate gas component concentration results can be obtained by using the step difference operation of the infrared spectrum measurement equation group with the size of the scattering item determined, and the operation formula is as follows

As shown in Figure 3, it is a detection device for performing the method of this embodiment, which includes a multi-wavelength pulse sequence generation module 301, a first detection unit 302, a second detection unit 303, a gas chamber main body 304, a gas chamber inlet assembly 305 and Air chamber outlet assembly 306 . The measured gas enters the gas chamber from the gas chamber inlet assembly 305 and flows out from the gas chamber outlet assembly 306 .

In this embodiment, the multi-wavelength pulse sequence generation module 301 is a module composed of a pulse power supply and four QCL laser light source packages with different central wavelengths. The central wavelengths correspond to the fingerprint wavelengths (532nm, 640nm) of PM2.5 and PM10 particles respectively, CO ₂ 's fingerprint wavelength (4.26μm) and formaldehyde's fingerprint wavelength (3.56μm). The first detection unit 302 is arranged near the entrance of the air chamber, and adopts a photodiode responsive to the fingerprint wavelength (532nm, 640nm) of PM2.5 and PM10 particles. It is used for measurement by light scattering method, and measures the scattered light intensity and forward scattered light intensity of dual-wavelength pulsed light at a specific scattering angle. The second detection unit 303 is arranged near the outlet of the gas chamber, and adopts a photodiode responsive to the fingerprint wavelength (4.26 μm) of _CO and formaldehyde (3.56 μm), and is used to measure the multi-wavelength pulsed light by infrared spectroscopic absorption method. The light intensity transmitted by the air chamber main module (4).

Although the principle of the present invention has been described in detail above in conjunction with the preferred embodiments of the present invention, those skilled in the art should understand that the above embodiments are only explanations for the exemplary implementation of the present invention, and are not intended to limit the scope of the present invention. The details in the embodiments do not constitute a limitation to the scope of the present invention. Without departing from the spirit and scope of the present invention, any obvious changes such as equivalent transformations and simple replacements based on the technical solutions of the present invention fall within the scope of the present invention. within the scope of protection.

Claims

A method for detecting microorganisms, gas components, and particles in indoor air, characterized in that it comprises the following steps:

(1) Discharge the target gas so that it is charged;

(2) driving the target gas through the electrostatic adsorption assembly, an electric field is applied to the outside of the electrostatic adsorption assembly to adsorb the target microorganisms, and the electrostatic adsorption assembly has metal nano-micromaterials;

(3) emitting laser light into the electrostatic adsorption component;

(4) Detecting the Raman signal emitted from the electrostatic adsorption component, and performing microorganism detection based on the Raman signal.
The method according to claim 1, characterized in that the electrostatic adsorption component is made of nano-metal material.
The method according to claim 1, characterized in that the strong electric field is higher than a predetermined value for disinfecting microorganisms and treating particles.
The method according to claim 1, further comprising: filtering the laser light before the laser light is incident on the electrostatic adsorption component.
The method according to claim 1, characterized in that an aspherical long-focus filter assembly (1.2.7) is set at the outlet of the adsorption assembly and in front of the Raman detection assembly (1.2.8), to prevent the outgoing Raman Mann scattered light is filtered to remove background fluorescence and stray light.
The method according to claim 1, characterized in that, the method also includes: generating different microbial Raman signal spectra for different microorganisms, and using artificial intelligence image analysis and processing technology to detect microbial aerosols based on microbial Raman signal spectra detection.
The method according to claim 1, characterized in that the method further comprises, arranging a multi-pass reflection assembly (1.2.5) on both sides of the electrostatic adsorption assembly, which has at least one reflection surface facing the adsorption assembly . The laser is incident on the reflective surface of the multi-pass reflective component (1.2.5), so that it is irradiated on the electrostatic adsorption component multiple times.
The method according to claim 1, further comprising detecting gas components before or after performing microbial detection.
The method according to claim 1, wherein an air pump is arranged upstream of the electrostatic adsorption assembly to clean the electrostatic adsorption assembly through a strong air flow, and the comprehensive gas detection device also includes a temperature-controlled disinfecting assembly ( 1.3.2), the temperature control disinfecting component (1.3.2) is used for disinfecting the gate enrichment module.
The method according to claim 1, characterized in that, the electrostatic adsorption component comprises nano-gold or nano-silver particles.