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
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- 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
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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.
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