Graphene photothermal effect and motion detection device and method
By using a pulsed laser to excite graphene samples and combining the fusion analysis of multiple detection methods, the problems of low sensitivity and insufficient resolution of traditional detection methods are solved, and high accuracy and high reliability detection of graphene photothermal effect and motion are achieved.
Patent Information
- Application Number
- CN202411656295.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-02-25
AI Technical Summary
Traditional graphene photothermal effect detection methods have problems such as low sensitivity, insufficient resolution, poor spatial detection accuracy, high equipment cost and susceptibility to external interference, making it difficult to achieve real-time and accurate detection.
The graphene sample is excited by a pulsed laser to generate a random laser spectrum. Combined with a fiber spectrometer, energy meter and imaging device, the spectral data, incident light energy and dynamic images of the graphene sample are analyzed in multiple angles by fusion to evaluate the photothermal response characteristics and motion characteristics of graphene.
It significantly improves the accuracy, comprehensiveness and reliability of the detection results, overcomes the limitations of a single detection method, and achieves high sensitivity and high accuracy detection of graphene photothermal effect and motion.
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Figure CN119510314A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field related to photothermal effect detection, and specifically, to a device and method for detecting the photothermal effect and movement of graphene. Background Art
[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.
[0003] Due to its unique physical and chemical properties, graphene has shown broad application prospects in the fields of electronics, optics, energy, and materials science, especially in the field of photothermal effect. The photothermal effect of graphene refers to the process in which it can efficiently convert light energy into heat energy after absorbing light of a specific wavelength. Utilizing this property, graphene materials can be used in many fields such as photodetectors, photocatalysis, solar cells, and biomedicine.
[0004] The inventors found in their research that the traditional methods for detecting the photothermal effect of graphene mainly rely on technologies such as thermocouples, thermal imagers and photoacoustic effects. Although these methods can accurately measure temperature changes to a certain extent, they have limitations in terms of sensitivity, resolution and spatial detection accuracy: (1) Although thermocouple detection technology can directly measure temperature changes, its sensitivity is limited and it cannot accurately capture tiny temperature differences. Since thermocouples need to directly contact the sample to be tested, there are problems such as low heat transfer efficiency and contact thermal resistance in actual operation, which can easily lead to distortion of measurement results. In addition, the response speed of thermocouples is slow and not suitable for real-time detection. (2) Thermal imagers can achieve non-contact measurement by capturing infrared radiation on the surface of the sample, overcoming some limitations of thermocouples. However, the spatial resolution of thermal imagers is limited, making it difficult to effectively detect temperature changes in small areas. At the same time, infrared radiation is easily affected by the ambient background temperature, making the signal easily interfered by noise, resulting in inaccurate measurement results. In addition, high-precision thermal imagers have high equipment costs and large size, which is not conducive to portable applications. (3) Photoacoustic effect detection technology converts the thermal expansion generated by the photothermal effect into sound waves for detection. In theory, it can capture temperature changes more sensitively. However, the detection process of the photoacoustic effect requires complex sound wave detection and signal processing equipment, the experimental equipment is cumbersome, and the detection environment requirements are high. At the same time, the sound wave propagation process may be interfered by factors such as the internal structure of the material and external vibrations, thereby affecting the accuracy of the detection results.
[0005] In addition, traditional detection equipment is usually large in size, high in cost, and easily affected by external interference in actual applications, making it difficult to achieve real-time and accurate detection. Summary of the invention
[0006] In order to solve the above problems, the present disclosure proposes a device and method for detecting the photothermal effect and movement of graphene. Based on the fusion analysis of random laser spectrum data, incident light energy and sample dynamic images, the device and method can comprehensively evaluate the photothermal response characteristics and movement features of graphene samples from multiple angles, overcome the limitations of a single detection method, and significantly improve the accuracy, comprehensiveness and reliability of the detection results.
[0007] In order to achieve the above objectives, the present disclosure adopts the following technical solutions:
[0008] One or more embodiments provide a device for detecting the photothermal effect and movement of graphene, comprising a pulsed laser, a laser energy and polarization control device, a beam splitter, a convex lens, a fiber spectrometer, and a camera device, which are arranged in sequence; the beam splitter is also connected to an energy meter; the fiber spectrometer is used to collect a random laser spectrum obtained after the pulsed laser irradiates the graphene sample; the camera device is used to collect an image of the graphene sample;
[0009] The pulse laser emits a pulse laser, which is regulated by laser energy and polarization; the beam splitter splits the pulse laser, one beam of the split pulse laser is used to record energy, and the other beam excites the graphene sample to be tested through a convex lens to obtain a random laser spectrum; the random laser spectrum changes collected by the fiber optic spectrometer, the sample image collected by the camera device, and the energy of the pulse spectrum collected by the energy meter are fused and processed to obtain the detection result of the graphene sample.
[0010] One or more embodiments provide a method for detecting the photothermal effect and movement of graphene, comprising the following steps:
[0011] Prepare graphene samples according to the set ratio;
[0012] Experiments were conducted at different irradiation intensities, and spectral signals and images of graphene samples under different irradiation conditions were collected;
[0013] Extract the characteristics of the spectral signal and obtain the spectral response characteristics;
[0014] The graphene sample image is processed to identify the concentration change trend of graphene particles and obtain the particle movement characteristics;
[0015] The motion characteristics of graphene particles and the spectral response characteristics are integrated to obtain the detection results of the photothermal effect of graphene.
[0016] Compared with the prior art, the present invention has the following beneficial effects:
[0017] The device of this embodiment first uses a pulsed laser to excite the graphene sample by emitting laser light, thereby generating photothermal effect and motion change, and generating a random laser spectrum. The random laser spectrum has an extremely high response sensitivity and can capture subtle spectral changes. At the same time, it combines a fiber optic spectrometer, an energy meter, and a camera device. Based on the fusion analysis of spectral data, incident light energy, and dynamic images of the sample, the device can comprehensively evaluate the photothermal response characteristics and motion characteristics of the graphene sample from multiple angles, overcome the limitations of a single detection method, and significantly improve the accuracy, comprehensiveness, and reliability of the detection results.
[0018] The advantages of the present disclosure and the advantages of additional aspects will be described in detail in the following specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The accompanying drawings constituting a part of the present disclosure are used to provide a further understanding of the present disclosure. The exemplary embodiments of the present disclosure and the description thereof are used to explain the present disclosure but do not constitute a limitation of the present disclosure.
[0020] Figure 1 It is a structural schematic diagram of a graphene photothermal effect and motion detection device according to Embodiment 1 of the present disclosure;
[0021] Figure 2 is a SEM image of a graphene nanosheet sample of Example 2 of the present disclosure;
[0022] FIG3( a ) is a random laser spectrum image at a certain time point collected by the optical fiber spectrometer 8 of Example 2 of the present disclosure;
[0023] FIG3( b ) is a graph showing the change of the graphene random laser spectrum over time obtained in the experimental example of the detection method of Example 2 of the present disclosure;
[0024] Figure 4 is a distribution diagram of graphene particles at different times after the photothermal effect occurs in the experimental example of the detection method of Example 2 of the present disclosure;
[0025] Figure 5 is a distribution diagram of graphene particles without photothermal effect in an experimental example of the detection method of Example 2 of the present disclosure;
[0026] Figure 6 is a graph showing the change of the peak value of the graphene random laser spectrum over time in an experimental example of the detection method of Example 2 of the present disclosure;
[0027] Figure 7 It is a flow chart of the detection method of embodiment 2 of the present disclosure. DETAILED DESCRIPTION
[0028] The present disclosure is further described below in conjunction with the accompanying drawings and embodiments.
[0029] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present disclosure belongs.
[0030] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof. It should be noted that, in the absence of conflict, the various embodiments in the present disclosure and the features in the embodiments can be combined with each other. The embodiments will be described in detail below in conjunction with the accompanying drawings.
[0031] Example 1
[0032] In the technical solutions disclosed in one or more embodiments, Figure 1 As shown, a detection device for the photothermal effect and movement of graphene includes a pulsed laser 1, a laser energy and polarization control device, a beam splitter 4, a convex lens 6, a fiber spectrometer 8 and a camera device which are arranged in sequence; the beam splitter is also connected to an energy meter 5; the fiber spectrometer 8 is used to collect a random laser spectrum obtained after the pulsed laser irradiates a graphene sample 7; the camera device is used to collect an image of the graphene sample;
[0033] The pulse laser 1 emits a pulse laser, which is regulated by laser energy and polarization; the beam splitter 4 splits the pulse laser, one beam of the split pulse laser is used to record energy, and the other beam excites the graphene sample to be tested 7 through a convex lens to obtain a random laser spectrum; the random laser spectrum changes collected by the optical fiber spectrometer 8, the sample image collected by the camera device, and the energy of the pulse spectrum collected by the energy meter are fused to obtain the detection result of the graphene sample.
[0034] The measurement principle of the above scheme is: after graphene absorbs light energy, it will quickly convert it into heat energy, which will cause the local temperature to rise and produce tiny bubbles. These bubbles can not only effectively enhance the emission intensity of random lasers and reduce the threshold of laser emission, but also guide the movement of particles, thereby changing the laser characteristics passing through the graphene sample 7. By detecting the changes in these laser characteristics, the photothermal response characteristics of graphene under different lighting conditions can be accurately captured. After the pulse laser 1 emits a laser pulse, it is energy and polarization regulated after passing through the half-wave plate 2 and the polarizer 3. After being split by the beam splitter 4, one beam of light enters the energy meter 5 to record the energy, and the other beam of light forms a focused beam through the convex lens 6 to excite the graphene sample 7, generating random laser lasing.
[0035] The above-mentioned device of this embodiment first uses a pulsed laser to excite the graphene sample 7 through the emitted laser, produce photothermal effect and motion change, and generate a random laser spectrum. The random laser spectrum has an extremely high response sensitivity and can capture subtle spectral changes; at the same time, it combines a fiber optic spectrometer, an energy meter and a camera device. Based on the fusion analysis of spectral data, incident light energy and sample dynamic images, the device can comprehensively evaluate the photothermal response characteristics and motion characteristics of the graphene sample from multiple angles, overcome the limitations of a single detection method, and significantly improve the accuracy, comprehensiveness and reliability of the detection results.
[0036] Furthermore, the pulse laser 1 uses a 532nm picosecond pulse laser;
[0037] In this embodiment, a pulsed laser is used as the excitation source instead of conventional pump light. The random laser output beam has poor directivity and a relatively large spectral width. The characteristics of the laser emission are more dependent on the distribution of the scattering medium and external environmental conditions.
[0038] This embodiment uses a pulsed laser to excite the sample to obtain a random laser spectrum. The randomness of the light field characteristics of the random laser spectrum can effectively capture the tiny structural changes in the graphene sample, such as surface morphology, the generation or movement of microbubbles, and the random laser spectrum is extremely sensitive; finally, the changes in the microbubbles or sample interface will have a significant impact on the scattering path and light amplification characteristics of the random laser, thereby changing the output laser characteristics, which is manifested as a shift in the spectrum or a change in intensity, providing higher detection sensitivity. Changes in optical properties (such as refractive index or scattering properties) caused by the generation of microbubbles in the sample or the thermal effect of graphene will be directly reflected in the spectrum of the random laser, and changes in the output spectrum provide rich detection information.
[0039] Further, the laser energy and polarization regulating device may include a half-wave plate 2 and a polarizing plate 3 connected in sequence;
[0040] The half-wave plate 2 realizes polarization control by changing the polarization state of the incident light; the polarizer 2 is an optical element for selecting light of a specific polarization direction to pass through, and controls the light intensity through polarization selectivity.
[0041] In this embodiment, a half-wave plate 2 is first provided, and a polarizer 3 is provided behind the half-wave plate 2; the half-wave plate 2 is used to adjust the polarization direction of the incident light so that its polarization direction forms a specific angle with the transmission direction of the polarizer, thereby adjusting the intensity of the transmitted light through the polarizer 4. By rotating the half-wave plate 2, the polarization direction of the incident light can be continuously changed, and combined with the selective transmission of the polarizer 2, the purpose of dynamically adjusting the light intensity is achieved. After the half-wave plate adjusts the polarization direction, the polarizer further selects the polarization direction and intensity of the transmitted light, thereby realizing precise control of the light energy and polarization state.
[0042] Further, the camera device may be a CCD camera 9. In this embodiment, a camera device is provided to collect an image of the graphene sample 7 while collecting spectral data;
[0043] The real-time images recorded by the camera device in this embodiment can clearly show the photothermal effect of the sample under different irradiation conditions, such as the movement trajectory of particles, the generation and evolution of bubbles, etc. This intuitive form of expression helps to understand the dynamic changes of the sample more deeply.
[0044] The CCD camera 9 realizes spatial motion monitoring, and the motion of the graphene nanosheets can be monitored in real time through the CCD camera 9. This enables the device to not only detect tiny spectral changes caused by the photothermal effect, but also to visually track and analyze the motion of the particles, further improving the accuracy and practicality of the detection.
[0045] A further technical solution also includes a continuous laser 10, the laser emission direction of which is directly facing the graphene sample 7, to illuminate the graphene sample to improve the clarity of the image collected by the camera device;
[0046] Specifically, the continuous laser uses a 632.8 nm continuous laser.
[0047] In this embodiment, the random laser emission of the graphene sample 7 is recorded by the fiber spectrometer 8, and the particle motion of the graphene sample is recorded by the CCD camera 9. The red light emitted by the 632.8nm continuous laser 10 is irradiated on the graphene sample 7, so that the motion of the graphene can be more clearly seen.
[0048] In some embodiments, the graphene sample 7 is a liquid sample, and the components in the graphene random laser sample include: polyvinyl alcohol, DCM dye, dimethyl sulfoxide and graphene nanosheets; the weight proportion of each material is: 2%wt of PVA (polyvinyl alcohol), 0.75%wt of DCM dye, 97%wt of DMSO, and 0.25%wt of graphene nanosheets. wt is the abbreviation of weight, which means the proportion of the total weight;
[0049] Polyvinyl alcohol (PVA, 2%wt), as a stabilizer and viscosity regulator, accounting for 2% of the total mass of the mixture;
[0050] DCM dye (0.75% wt), used to provide the gain medium for random lasing, accounting for 0.75% of the total weight of the mixture;
[0051] Dimethyl sulfoxide (DMSO, 97% wt), as the main solvent, provides high solubility and dispersibility, accounting for 97% of the total mass of the mixture;
[0052] Graphene nanosheets (0.25%wt) are used to achieve photothermal effect and random laser property regulation, accounting for 0.25% of the total mass of the mixture.
[0053] Furthermore, the configuration method of the graphene sample 7 comprises the following steps:
[0054] Step A1, weighing a required amount of polyvinyl alcohol powder, and adding it to a mass ratio (97%wt) of dimethyl sulfoxide (DMSO) according to a required mass ratio (2%wt);
[0055] Step A2, placing the mixed solution in a constant temperature water bath set at 70 degrees, and using a magnetic stirrer to stir at a moderate speed until the polyvinyl alcohol is completely dissolved to obtain a uniform and transparent PVA+DMSO solution; cooling to room temperature for use;
[0056] Step A3: Weigh DCM dye (0.75% wt) according to the required ratio, and slowly add it to the cooled mixed solution; stir it thoroughly with a magnetic stirrer to ensure that the dye is completely dissolved and avoid the formation of particles or precipitates.
[0057] Step A4: gradually adding graphene nanosheets (0.25%wt) into the mixed solution to uniformly disperse the graphene nanosheets in the solution to obtain a graphene nanosheet suspension.
[0058] Step A5: Filter the prepared solution using a microporous filter membrane to remove possible undispersed particles or impurities to ensure the uniformity of the sample and the consistency of its optical properties.
[0059] In the device of this embodiment, the generation and scattering effect of bubbles can significantly enhance the signal of random laser, so that the detection device can capture small spectral changes. This highly sensitive detection method can effectively solve the problem that traditional methods are difficult to detect small changes. By using picosecond pulse laser pumping and using a spectrometer to receive the random laser spectrum, real-time monitoring of the photothermal effect of graphene can be achieved.
[0060] The device of this embodiment forms a compact and easy-to-operate experimental system through the organic integration of laser energy and polarization control devices, beam splitters and other components. Its efficient integrated design significantly reduces the complexity of the equipment, reduces experimental interference, and facilitates the implementation of high-precision measurements. It simplifies the experimental process of photothermal effect detection and reduces equipment costs, making it suitable for a wide range of research and application scenarios. Its high sensitivity and high precision will help promote the further development of graphene materials in the fields of optical sensing, thermal management, and biological detection.
[0061] Example 2
[0062] Based on Example 1, a method for detecting the photothermal effect and movement of graphene is provided in this embodiment. The spectral changes captured by the optical fiber spectrometer 8, the sample images collected by the camera device, and the energy of the random spectrum collected by the energy meter 5 are fused and processed to obtain the detection result of the graphene sample 7, such as Figures 2 to 7 As shown, the following steps are included:
[0063] Step 1, preparing a graphene sample 7 according to a set ratio;
[0064] Step 2, respectively conducting experiments with different irradiation intensities, collecting spectral signals of the graphene sample 7 collected by the optical fiber spectrometer 8 and images of the graphene sample collected by the CCD camera 9 under different irradiation conditions;
[0065] Step 3, extracting the characteristics of the spectral signal to obtain the spectral response characteristics;
[0066] Step 4: Process the graphene sample image captured by the CCD camera 9 to identify the concentration change trend of the graphene particles and obtain the particle motion characteristics;
[0067] Step 5: fusing the graphene particle motion characteristics and the spectral response characteristics according to time to obtain the detection result of the photothermal effect of graphene;
[0068] Wherein, in step 5, the detection result of the photothermal effect includes the spectral response characteristics and the particle motion characteristics, and the accuracy of the detection result is determined by mutual verification of the particle motion characteristics and the spectral response characteristics;
[0069] In step 1, the graphene sample 7 is a liquid sample, and the weight proportions of various materials in the graphene random laser sample are: 2%wt of PVA (polyvinyl alcohol), 0.75%wt of DCM dye, 97%wt of DMSO, and 0.25%wt of graphene nanosheets.
[0070] Polyvinyl alcohol (PVA, 2% wt), as a stabilizer and viscosity regulator;
[0071] DCM dye (0.75% wt) to provide a gain medium for random lasing;
[0072] Dimethyl sulfoxide (DMSO, 97% wt), as the main solvent, provides high solubility and dispersibility;
[0073] Graphene nanosheets (0.25% wt) are used to achieve photothermal effect and random laser property regulation. Figure 2 Shown is a SEM image of a graphene nanosheet sample. The number of graphene nanosheet layers is less than 4, and the average size is about 1.5 microns.
[0074] Furthermore, the configuration method of the graphene sample 7 comprises the following steps:
[0075] Step A1, weighing a required amount of polyvinyl alcohol powder, and adding it to a mass ratio (97%wt) of dimethyl sulfoxide (DMSO) according to a required mass ratio (2%wt);
[0076] Step A2, placing the mixed solution in a constant temperature water bath set at 70 degrees, and using a magnetic stirrer to stir at a moderate speed until the polyvinyl alcohol is completely dissolved to obtain a uniform and transparent PVA+DMSO solution; cooling to room temperature for use;
[0077] Step A3: Weigh DCM dye (0.75% wt) according to the required ratio, and slowly add it to the cooled mixed solution; stir it thoroughly with a magnetic stirrer to ensure that the dye is completely dissolved and avoid the formation of particles or precipitates.
[0078] Step A4: gradually adding graphene nanosheets (0.25%wt) into the mixed solution to uniformly disperse the graphene nanosheets in the solution to obtain a graphene nanosheet suspension.
[0079] Step A5: Filter the prepared solution using a microporous filter membrane to remove possible undispersed particles or impurities to ensure the uniformity of the sample and the consistency of its optical properties.
[0080] In step 2, the pulse laser 1 is controlled to emit random lasers of different intensities, and experiments are performed respectively. At the same time, the energy is recorded by the energy meter 5, so as to obtain the incident spectrum intensity of each group of experiments;
[0081] In step 3, the characteristics of the spectral signal are extracted to obtain the spectral response characteristics, specifically:
[0082] Step 31, extracting the spectrum intensity according to the spectrum signal collected by the optical fiber spectrometer 8;
[0083] Step 32: according to the intensity change of the input random laser and as the photothermal effect increases, identifying the spectral intensity change of the graphene sample 7;
[0084] As the light intensity increases, the spectral intensity of the graphene sample shows significant dynamic changes, indicating that the sample's absorption and scattering characteristics of the laser have changed significantly;
[0085] As shown in Figure 3(a), a fiber spectrometer is used to record a random laser spectrum at a certain time point, and a picosecond pulse laser 1 is used to excite the graphene nanosheet sample, and the spectrum is as shown in Figure 3(b). An experiment is conducted, and the graph of the graphene random laser spectrum collected by the fiber spectrometer 8 changes with time; the figure is the graphene random laser spectrum of each time period (0 seconds, 5 seconds, 10 seconds...), which is recorded by the fiber spectrometer 8. The intensity of the random laser in the first 10 seconds increases with time because bubbles are generated in the graphene, the scattering is enhanced, and the random laser emission is enhanced. Afterwards, the bubbles will cause the graphene to move, the graphene concentration in this area will decrease, and the random laser intensity will weaken. It can be seen that when the photothermal effect of graphene is enhanced, the microbubbles and thermal disturbances generated inside the sample will reduce the randomness of the light scattering path, resulting in nonlinear changes in the spectral intensity.
[0086] In the first 10 seconds, the spectral intensity continued to increase, which was due to the increase in scattering caused by the generation of bubbles; after 10 seconds, the spectral intensity began to weaken, because the bubbles moved with the graphene and left the focal position of the pump light, weakening the scattering; by 35 seconds, the concentration of the graphene suspension at the focal position tended to balance, and the spectrum gradually stabilized. The whole process was recorded to 60 seconds. This real-time spectral analysis allows the detection device to dynamically and accurately capture the changes in the graphene photothermal effect.
[0087] In step 4, the image captured by the CCD camera 9 is processed to identify the concentration change trend of the graphene particles and obtain the particle movement characteristics;
[0088] The particle motion characteristics, that is, the dynamic behavior of graphene particles captured by image analysis, including motion trajectory and concentration changes, reveal the particle dynamics characteristics caused by the photothermal effect.
[0089] Particle motion comparison chart Figure 4 The figure shows the movement of graphene nanosheets in various time periods (0 seconds, 5 seconds, 15 seconds, etc.). At about the 5th second, microbubbles that can make the graphene move upward are generated and recorded by the CCD camera 9. It can be seen that the graphene particles move vertically upward due to the bubbles, and at the same time, the graphene concentration in this area is reduced.
[0090] As a control group, the graphene nanosheets without bubble generation are shown in the following figure. Figure 5As shown in the figure, the dashed box is the same graphene particle, and the distribution of graphene particles does not change accordingly at 0s and 60s. This figure is the distribution diagram of graphene nanosheet particles at 0s and 60s, recorded by CCD9 camera. It can be seen that the graphene has almost no movement due to the absence of bubbles, only weak precipitation movement, and the distribution of graphene particles does not change accordingly at 0s and 60s.
[0091] Figure 6 The graph of the peak value of the graphene random laser spectrum changing with time, the black dotted lines in the figure are the peak points of the graphene random laser spectrum in each time period (0 seconds, 5 seconds, 10 seconds...), which are recorded by the fiber spectrometer 8. The heat accumulation of the random laser in the first 10 seconds increases with time, causing bubbles in the graphene, enhanced scattering, and enhanced random laser emission. After that, the bubbles will cause the graphene to move, the graphene concentration in this area will decrease, and the random laser intensity will weaken. The random spectrum value where the blue dotted line is located is low, so there is no photothermal effect. It is the peak point of the graphene random laser spectrum without bubbles in each time period, and the random laser emission is almost unchanged.
[0092] In this embodiment, image recognition and spectral analysis are integrated to achieve mutual verification through the change of graphene distribution and the spectral intensity effect, indicating that during the photothermal effect reaction, the distribution change of graphene particles corresponds to the change of spectral intensity, thereby verifying the accuracy of the detection results during the experiment.
[0093] The non-contact detection method does not introduce measurement errors, which improves the reliability of the detection results. By recording the behavior of microbubbles generated by graphene under the photothermal effect and the spectral changes of random lasers, combined with the real-time monitoring of the movement of graphene nanosheets by CCD cameras, the problems of low sensitivity, insufficient resolution, high cost and susceptibility to interference of traditional detection methods are effectively overcome. In scientific research, industrial applications and in-depth research on the photothermal effect of graphene, the device has broad application prospects and market value.
[0094] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.
[0095] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Technical personnel in the relevant field should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.
Claims
1. A device for detecting the photothermal effect and movement of graphene, characterized in that: The invention comprises a pulse laser, a laser energy and polarization control device, a beam splitter, a convex lens, a fiber spectrometer and a camera device which are arranged in sequence; the beam splitter is also connected to an energy meter; the fiber spectrometer is used to collect a random laser spectrum obtained after the graphene sample is irradiated with a pulse laser; the camera device is used to collect an image of the graphene sample; The pulse laser emits pulsed laser, which is regulated by laser energy and polarization. The beam splitter splits the pulsed laser into beams. One beam of the split pulsed laser is used to record the energy, and the other beam is used to excite the graphene sample to be tested through a convex lens to obtain a random laser spectrum. The random laser spectrum changes collected by the fiber optic spectrometer, the sample images collected by the camera device, and the energy of the pulse spectrum collected by the energy meter are fused to obtain the detection results of the graphene sample.
2. A graphene photothermal effect and motion detection device as claimed in claim 1, characterized in that: The pulse laser adopts picosecond pulse laser.
3. A graphene photothermal effect and motion detection device as claimed in claim 1, characterized in that: A laser energy and polarization regulating device comprises a half-wave plate and a polarizing plate connected in sequence.
4. A graphene photothermal effect and motion detection device as claimed in claim 1, characterized in that: The camera device adopts a CCD camera.
5. A graphene photothermal effect and motion detection device as claimed in claim 1, characterized in that: The components in the graphene random laser sample include: polyvinyl alcohol, DCM dye, dimethyl sulfoxide and graphene nanosheets; the mass proportion of each material is: 2%wt of polyvinyl alcohol, 0.75%wt of DCM dye, 97%wt of DMSO and 0.25%wt of graphene nanosheets.
6. A graphene photothermal effect and motion detection device as claimed in claim 5, characterized in that: The method for configuring a graphene sample comprises the following steps: Weigh the required amount of polyvinyl alcohol powder and add it to dimethyl sulfoxide according to the required mass ratio; place the mixed solution in a constant temperature water bath at a set temperature, and use a magnetic stirrer to stir at a moderate speed until it is completely dissolved to obtain a uniform and transparent PVA solution, and cool it to room temperature for use; Weigh DCM dye according to the required ratio and slowly add it to the cooled mixed solution; use a magnetic stirrer to stir thoroughly to ensure that the dye is completely dissolved to avoid the formation of particles or precipitates; Graphene nanosheets are gradually added into the mixed solution so that the graphene nanosheets are evenly dispersed in the solution to obtain a graphene nanosheet suspension.
7. A graphene photothermal effect and motion detection device as claimed in claim 6, characterized in that: The graphene nanosheet suspension is filtered using a microporous filter membrane.
8. A method for detecting the photothermal effect and movement of graphene, characterized in that: The steps include: Prepare graphene samples according to the set ratio; Experiments were conducted at different irradiation intensities, and spectral signals and images of graphene samples under different irradiation conditions were collected; Extract the characteristics of the spectral signal and obtain the spectral response characteristics; The graphene sample image is processed to identify the concentration change trend of graphene particles and obtain the particle movement characteristics; The motion characteristics of graphene particles and the spectral response characteristics are integrated to obtain the detection results of the photothermal effect of graphene.
9. A method for detecting the photothermal effect and movement of graphene as claimed in claim 8, characterized in that: The detection results of the photothermal effect include spectral response characteristics and particle motion characteristics. The particle motion characteristics and spectral response characteristics are mutually verified to determine the accuracy of the detection results.
10. A method for detecting the photothermal effect and movement of graphene as claimed in claim 8, characterized in that: Extract the characteristics of the spectral signal and obtain the spectral response characteristics, specifically: Extracting spectrum intensity according to the spectrum signal collected by the fiber optic spectrometer; According to the intensity change of the input random laser and as the photothermal effect is enhanced, the spectral intensity change of the graphene sample is identified.