CN219777489U - Multi-target detection back reflection type spectrum detection system based on pixelated super surface - Google Patents
Multi-target detection back reflection type spectrum detection system based on pixelated super surface Download PDFInfo
- Publication number
- CN219777489U CN219777489U CN202320510588.XU CN202320510588U CN219777489U CN 219777489 U CN219777489 U CN 219777489U CN 202320510588 U CN202320510588 U CN 202320510588U CN 219777489 U CN219777489 U CN 219777489U
- Authority
- CN
- China
- Prior art keywords
- pixelated
- terahertz
- super
- detection
- substrate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 87
- 238000001228 spectrum Methods 0.000 title claims abstract description 33
- 239000000758 substrate Substances 0.000 claims abstract description 20
- 239000012472 biological sample Substances 0.000 claims abstract description 6
- 238000010183 spectrum analysis Methods 0.000 claims abstract description 4
- 230000003595 spectral effect Effects 0.000 claims description 9
- 239000000126 substance Substances 0.000 claims description 9
- 230000004044 response Effects 0.000 claims description 7
- 229920000089 Cyclic olefin copolymer Polymers 0.000 claims description 4
- 239000004713 Cyclic olefin copolymer Substances 0.000 claims description 4
- 238000003491 array Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 239000002210 silicon-based material Substances 0.000 claims description 3
- 238000002834 transmittance Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 6
- 239000012491 analyte Substances 0.000 abstract description 5
- 238000004458 analytical method Methods 0.000 abstract description 4
- 239000000243 solution Substances 0.000 description 8
- 239000002184 metal Substances 0.000 description 7
- 238000000034 method Methods 0.000 description 7
- 239000000523 sample Substances 0.000 description 7
- 239000013076 target substance Substances 0.000 description 7
- 239000007864 aqueous solution Substances 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000035945 sensitivity Effects 0.000 description 3
- 238000001328 terahertz time-domain spectroscopy Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 238000001028 reflection method Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000005102 attenuated total reflection Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229920001577 copolymer Polymers 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 230000008685 targeting Effects 0.000 description 1
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The utility model provides a back reflection type spectrum detection system based on pixelated super-surface multi-target detection, which relates to the field of biomedical detection and comprises the following components: a substrate; the pixelated super-surface array structure is integrated on the surface of the substrate; the biological sample to be measured is arranged on the upper side of the pixelated super-surface array structure; the terahertz signal generator is arranged below the substrate; and the terahertz receiver is used for receiving the reflected terahertz signals and carrying out terahertz time-domain spectrum analysis. The utility model can realize multi-target detection of polar solution, and comprises the steps of realizing accurate quantitative detection of a certain target analyte and obtaining a relatively accurate fingerprint spectrum, so that the terahertz spectrum technology plays a more important role in biomedical analysis.
Description
Technical Field
The utility model relates to the field of biomedical detection, in particular to a back reflection type spectrum detection system based on pixelated super-surface multi-target detection.
Background
Terahertz waves are located between millimeter wave bands and infrared wave bands, have photonics and electronics characteristics, and have the characteristics of non-ionization, no damage, high penetration, high resolution, spectral fingerprint and the like, so that the terahertz waves become a common tool in the biomedical field. The research focus of the terahertz substance detection technology in the starting stage is mainly to directly interact terahertz spectrum with a sample, and to perform molecular vibration mode identification and physical information analysis such as sample thickness, complex refractive index and the like from the transmission and reflection response of the sample. However, the low photon energy of terahertz wave radiation, the weak interaction with the sample, limits to some extent the high sensitivity sensing applications of terahertz spectroscopy. In the terahertz wave band, the most common polar water exists in nature, and the absorption rate of the polar water is very strong, so that the natural barrier to the terahertz waves is caused. Therefore, when the analyte targeting the polar solution is studied, only the moisture in the solution can be evaporated, and the sample is detected and analyzed in a dry state, which hinders the wide application of the terahertz sensing technology in practice. In order to further promote the practical application of terahertz in sensing detection, researchers combine technologies such as micro-fluidic, attenuated total reflection and the like to realize the direct detection of trace aqueous solution. These designs not only have complicated experimental operation procedures, but also have strict requirements on manufacturing accuracy. Therefore, to fully develop the sensing capability of the terahertz wave, expand the practical application of the terahertz wave in the detection field, and further research on a quick and simple aqueous solution analysis method based on terahertz spectrum is needed. Current metamaterial-based terahertz sensing is used for rapid detection and analysis of solutions, and is receiving more and more attention. However, the method mainly focuses on single fingerprint detection of analytes or quantitative detection with poor sensitivity, and multi-target detection of analytes in a polar environment is difficult to realize, and accurate detection and more accurate fingerprint spectrum acquisition of a certain target substance cannot be realized.
Therefore, how to fingerprint the analytes in polar solutions and quantitatively detect multiple targets is a technical problem to be solved.
Disclosure of Invention
The utility model aims to at least solve one of the technical problems in the prior art or related art, and provides a back reflection type spectrum detection system based on pixelated super-surface multi-target detection, which realizes ultra-high sensitivity identification and quantitative detection of trace biological samples.
The utility model provides a multi-target detection back reflection type spectrum detection system based on pixelated super-surface, which comprises the following components: a substrate made of a material highly transparent to terahertz waves; the pixelated super-surface array structure is integrated on the surface of the substrate; the biological sample to be measured is arranged on the upper side of the pixelated super-surface array structure; the terahertz signal generator is arranged below the substrate so that terahertz pulses can be incident on the lower surface of the substrate at a certain angle; and the terahertz receiver is used for receiving the reflected terahertz waves and carrying out terahertz time-domain spectrum analysis.
According to the back reflection type spectrum detection system based on pixelated super-surface multi-target detection provided by the utility model, preferably, the pixelated super-surface array structure comprises resonance units with various sizes so as to widen the spectrum range of response; the array of each size of the resonance units forms a detection area, and the arrays of the resonance units with multiple sizes form multiple detection areas, so that the pixelated super-surface array structure supports the terahertz wave spectral response of a wide frequency band.
According to the back reflection type spectrum detection system based on pixelated super-surface multi-target detection, preferably, the substrate is made of cycloolefin copolymer (COC) or high-resistance silicon material with high transmittance to terahertz waves.
According to the pixelated super-surface multi-target detection-based back reflection spectrum detection system provided by the utility model, preferably, the detection process specifically comprises the following steps: collecting reflected signals of only the super-constructed surface before each detection as a reference; recording the signal with the analyte, and obtaining the terahertz reflection frequency domain signal by adopting fast Fourier transform.
According to the back reflection type spectrum detection system based on pixelated super-surface multi-target detection, preferably, terahertz signals are irradiated on the lower surface of a pixelated super-surface substance detection chip at a fixed incident angle of 10 degrees; and controlling signal transmission and reception by using a phase modulation double-laser synchronous control technology to obtain a time domain waveform carrying sample information at a high speed.
According to the back reflection type spectrum detection system based on pixelated super-surface multi-target detection, preferably, the environment where the terahertz light path is located is filled with dry air, and the relative humidity is less than 3%.
According to the back reflection type spectrum detection system based on pixelated super-surface multi-target detection, the pixelated super-surface substance detection chip is preferably used as an objective table, and the objective table is arranged on a three-dimensional translation table so as to ensure that stable spectrum acquisition is obtained at a required azimuth angle.
According to the technical scheme, the beneficial effects of the utility model at least comprise: the multi-target detection is supported based on the pixelated super surface, so that the detection precision can be improved, and the operation flow can be simplified; the interaction between the target substance and the electric field is enhanced by utilizing the pixelated super surface, so that the detection precision is improved to obtain a relatively accurate fingerprint spectrum of the target substance; the target substance in the aqueous solution can be directly and efficiently detected based on the back reflection method, so that the application scene of the utility model is greatly widened.
Drawings
FIG. 1 shows a schematic diagram of the overall structure of a pixelated super-surface multi-target detection-based back-reflection spectrum detection system according to an embodiment of the utility model.
FIG. 2 illustrates a schematic plan view of a pixelated subsurface based on a pixelated subsurface multi-target detection back-reflection spectrum detection system, in accordance with an embodiment of the utility model.
FIG. 3 illustrates a side view schematic of a pixelated subsurface based on a pixelated subsurface multi-target detection back-reflection spectrum detection system, according to an embodiment of the utility model.
FIG. 4 shows a schematic diagram of a subsurface structure of a pixelated subsurface multi-target detection-based back-reflection spectrum detection system, according to an embodiment of the utility model.
Detailed Description
In order that the above-recited objects, features and advantages of the present utility model will be more clearly understood, a more particular description of the utility model will be rendered by reference to the appended drawings and appended detailed description. In order to simplify the present disclosure, components and arrangements of specific examples are described below. Furthermore, the present utility model may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted so as to not unnecessarily obscure the present utility model.
As shown in fig. 1, one of the embodiments according to the present utility model discloses a back reflection type spectrum detection method based on pixelated super surface multi-target detection, comprising: designing a pixelated super-surface substance detection chip; preparing a substance solution to be tested; transferring the solution of the substance to be detected to the position above the pixelated super-surface substance detection chip; and detecting the reflected signal covering the super surface of the analyte to be detected by using a terahertz time-domain spectroscopy system, wherein terahertz time-domain waveforms obtained during detection are all collected in an oblique reflection mode. The detection process specifically comprises the following steps: collecting reflected signals of only the super-constructed surface before each detection as a reference; recording the signal with the analyte, and obtaining the terahertz reflection frequency domain signal by adopting fast Fourier transform.
In this embodiment, the terahertz time-domain waveform is collected by a terahertz time-domain spectroscopy system in a oblique reflection mode, with a spectral range of 0.5-7.0THz. Two 1550nm optical-fiber lasers (laser 1 shown in the figure) with pulse time less than 50fs are used as the terahertz signal pumping source and the detection source, and the repetition frequency is 50MHz. The generation and reception of terahertz is performed using a photoconductive antenna method with an ultra hemispherical silicon lens (first lens 3, second lens 4 shown in the figure), wherein the first lens 3 serves as a radiation source and the second lens 4 serves as a detector. The emitted terahertz signal is irradiated on the lower surface of the pixelated super-surface 6 through the parabolic mirror 7 at a fixed incident angle of θ=10°. And the phase modulation synchronous control technology is utilized to control the transmission and the reception of signals, and then the digital control equipment 5 is utilized to obtain the time domain waveform carrying the sample information at high speed. All measurements were performed at room temperature and the terahertz light path was filled with dry air to a relative humidity of less than 3% in order to avoid the influence of water vapor.
In this embodiment, as shown in fig. 3, a pixelated super surface substance detection chip is used as a stage, which is mounted on a three-dimensional translation stage to ensure that stable spectral acquisition is obtained at the desired azimuth angle.
In accordance with yet another embodiment of the present utility model, there is also disclosed a pixelated super surface multi-target detection back reflection type spectrum detection system comprising: a substrate made of a material highly transparent to terahertz waves; the pixelated super-surface array structure is integrated on the surface of the substrate; the biological sample to be measured is arranged on the upper side of the pixelated super-surface array structure; the terahertz signal generator is arranged below the substrate so that terahertz pulses can be incident on the lower surface of the substrate at a certain angle; and the terahertz receiver is used for receiving the reflected terahertz waves and carrying out terahertz time-domain spectrum analysis.
As shown in fig. 1 and 2, in this embodiment, the pixelated subsurface 6 specifically includes a substrate 201 and a pixelated subsurface array structure 202, on the upper side of which a biological sample 203 to be measured is disposed. The first laser 1 and the first lens 3 serve as terahertz signal generators, the second laser 2 and the second lens 4 serve as terahertz receivers, and the numerical control device 5 performs terahertz time-domain spectroscopy.
According to the above embodiment, it is preferable that the pixelated super surface array structure includes resonance units of various sizes to widen the spectral range of the response; the array of each size of the resonance units forms a detection area, and the arrays of the resonance units with multiple sizes form multiple detection areas, so that the pixelated super-surface array structure supports the terahertz wave spectral response of a wide frequency band.
As shown in fig. 4, in this embodiment, the side length of each resonance unit is P, each resonance unit includes a pair of rectangular metal frames with notches disposed opposite to each other, the notch of one metal frame is disposed in the middle of the outer side of the frame, the notch of the other metal frame is disposed in the upper portion of the outer side of the frame, the distance between the center of the notch and the center line of the metal frame is δ, the height of the metal frame is L, the distance between the metal frames is d, the width of the notch is g, and the width of the metal frame wire is w. Preferably, p=54 μm, l=40 μm, g=30 μm, d=4 μm, w=4 μm, δ=8 μm. The resonance units of different sizes in other areas are scaled up or down equally based on the reference.
According to the above embodiment, the substrate is preferably made of Cyclic Olefin Copolymer (COC) having high transmittance to terahertz waves, and has a thickness of 12 μm and a refractive index of 1.53.
According to the above embodiment, the substrate is preferably made of a high-resistance silicon material.
In summary, the utility model provides a back reflection type spectrum detection method and a system for pixelated super-surface multi-target detection, which are used for rapid and convenient detection of polar solution. The utility model supports multi-target detection based on pixelated super-surface, which not only can improve the detection precision, but also can simplify the operation flow; enhancing the interaction between the target substance and the light field by using the pixelated super-structured surface, and improving the detection precision to obtain a relatively accurate fingerprint spectrum of the target substance; the target substance in the polar solution can be directly and efficiently detected based on the back reflection method.
The above description is only of the preferred embodiments of the present utility model and is not intended to limit the present utility model, but various modifications and variations can be made to the present utility model by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present utility model should be included in the protection scope of the present utility model.
Claims (5)
1. A pixelated super-surface-based multi-target detection back-reflection spectrum detection system, comprising:
a substrate made of a material highly transparent to terahertz waves;
a pixelated supersurface array structure integrated on the surface of the substrate;
the biological sample to be measured is arranged on the upper side of the pixelated super-surface array structure;
the terahertz signal generator is arranged on the lower side of the substrate so that terahertz pulses can be incident on the lower surface of the substrate at a certain angle;
and the terahertz receiver is used for receiving the reflected terahertz signals and carrying out terahertz time-domain spectrum analysis.
2. The pixelated super surface multi-target detection back reflection type spectrum detection system of claim 1, wherein said pixelated super surface array structure comprises resonance units of various sizes, achieving spectral and spatial correspondence to widen the spectral range of response; the array of each size of the resonance units forms a detection area, and the arrays of the resonance units with multiple sizes form multiple detection areas, so that the pixelated super-surface array structure supports terahertz wave spectral response in a wide frequency range.
3. The back reflection type spectrum detection system based on pixelated super surface multi-target detection of claim 1, wherein the substrate is made of cyclic olefin copolymer or high-resistance silicon material with high transmittance to terahertz wave.
4. The pixelated super surface multi-target detection back reflection type spectrum detection system of claim 1, wherein terahertz signals are irradiated on the lower surface of the pixelated super surface substance detection chip at a fixed incident angle of 10 °.
5. The pixelated super surface multi-target detection back reflection type spectrum detection system of claim 1, wherein the environment in which the terahertz light path is located is filled with dry air.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320510588.XU CN219777489U (en) | 2023-03-16 | 2023-03-16 | Multi-target detection back reflection type spectrum detection system based on pixelated super surface |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320510588.XU CN219777489U (en) | 2023-03-16 | 2023-03-16 | Multi-target detection back reflection type spectrum detection system based on pixelated super surface |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN219777489U true CN219777489U (en) | 2023-09-29 |
Family
ID=88130138
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202320510588.XU Active CN219777489U (en) | 2023-03-16 | 2023-03-16 | Multi-target detection back reflection type spectrum detection system based on pixelated super surface |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN219777489U (en) |
-
2023
- 2023-03-16 CN CN202320510588.XU patent/CN219777489U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| FI96722C (en) | Biological detectors | |
| CN103348235B (en) | Device for detecting foreign matter and method for detecting foreign matter | |
| CN101832940B (en) | Terahertz polarization real-time imaging method | |
| CN102830069B (en) | Alcohol concentration measuring device by using terahertz anisotropic medium resonance effect and method thereof | |
| CN103076092B (en) | Interference imaging spectroscopy device and method for improving spectral resolution | |
| CN106441580A (en) | Terahertz time-domain spectrometer capable of variable-angle incidence and simultaneous measurement of transmission and reflection | |
| CN103278893B (en) | Terahertz wave emitting/receiving integration module | |
| CN106442424B (en) | Alcohol concentration measuring device and method using graphene terahertz surface plasma effect | |
| CN204556093U (en) | A kind of low noise micro-cantilever thermal vibration signal measurement apparatus | |
| CN103499392A (en) | TeraHertz-wave far-field detection super-diffraction resolution imaging instrument | |
| CN108267420A (en) | Seed aqueous amount detection systems and method | |
| CN107036549A (en) | A kind of terahertz imaging device based on coherent tomographic | |
| CN106769994B (en) | Terahertz sub-wavelength resolution imaging device | |
| CN106442411A (en) | Graphene surface wave based high-sensitivity ultrafast refractive index detecting device and method | |
| CN108088810B (en) | Humidity sensor based on terahertz plasma enhancement effect and system thereof | |
| CN206556602U (en) | A kind of terahertz imaging device based on coherent tomographic | |
| CN104422715A (en) | Laser scanning thermal wave imaging method and apparatus based on subwindow technology | |
| CN219777489U (en) | Multi-target detection back reflection type spectrum detection system based on pixelated super surface | |
| CN111289104B (en) | Terahertz energy detector, detection system and application | |
| CN108088815A (en) | Highly sensitive multiple beam refractive index detection device and method based on graphene surface ripple | |
| JP2005172774A (en) | Method and apparatus for measuring physical properties based on catoptric characteristics | |
| CN206514951U (en) | The polarization spectrum characteristic measuring device of Terahertz material | |
| CN111142121B (en) | Brillouin scattering temperature measurement laser radar system based on two-stage virtual image phase array | |
| CN116297305A (en) | Pixelated super-surface multi-target detection back reflection type spectrum detection method and system | |
| CN209264563U (en) | A kind of refractive index micrometering system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |