911results about How to "High detection sensitivity" patented technology

The invention relates to the technical field of optical signal processing, in particular to an optical signal processing algorithm based on biological agent fluorescence detection, which comprises the following steps: S1, collecting fluorescence signals with different wavelengths emitted by each probe, and generating a multi-channel fluorescence spectrum data set; s2, carrying out spectral de-mixing on the fluorescence signals in the fluorescence spectrum data set, separating a plurality of overlapped fluorescence signals, and decoupling the fluorescence signals with different wavelengths; s3, for highly overlapped fluorescence signals, carrying out secondary overlapping separation treatment on the fluorescence signals by using a nonlinear optimization method; s4, extracting the intensity, wavelength and time change characteristics of each fluorescent probe signal, and constructing a multi-dimensional fluorescent signal characteristic vector; and S5, by amplifying the characteristic peak value of the weak fluorescence signal, it is ensured that the signal is not covered by strong signals of other probes in multi-probe detection. According to the invention, the resolution of fluorescence detection is improved, so that the high-precision detection effect can be maintained under complex experimental conditions.

The invention discloses an antibody for resisting HPV16 type E6 protein and E7 protein, a detection product and application of the antibody and the detection product, and relates to the technical field of monoclonal antibodies. The antibody comprises a heavy chain complementarity determining region in a heavy chain variable region as shown in SEQ ID NO: 1 and a light chain complementarity determining region in a light chain variable region as shown in SEQ ID NO: 2. The antibody can be specifically combined with HPV16 E6 protein and E7 protein, and a detection product for detecting the HPV16 E6 / E7 antigen can be developed based on the antibody provided by the invention. Tests show that a kit developed based on the monoclonal antibody has the advantages of high detection sensitivity, rapidness and strong tolerance on the HPV16 E6 / E7 antigen, can be used for quality control in the production process of the recombinant human HPV16 E6 / E7 antigen, and can efficiently and accurately quantify the antigen content in a vaccine and monitor the quality of the vaccine.

The invention relates to the field of aramid fiber band defect detection, and discloses an X-ray-based aramid fiber band defect online detection method and device. The method comprises the following steps: carrying out potential defect analysis on a physical characteristic image and a material parameter distribution diagram to obtain spatial distribution data of a potential defect region; physical characteristic quantitative analysis is carried out on the spatial distribution data of the potential defect area, a defect physical descriptor is obtained, and the defect physical descriptor comprises a density anomaly feature, a molecular chain orientation disorder degree and a thermal anomaly feature; and performing multi-dimensional feature extraction and weight distribution on the defect physical descriptor according to a preset material performance standard to obtain a quality score and a physical performance parameter of the aramid fiber band, and generating a defect detection report according to the quality score and the physical performance parameter. According to the invention, the comprehensiveness, accuracy and reliability of aramid fiber band defect detection are improved.

The invention discloses a preparation method of PEDOT: PSS (poly (3, 4-ethylenedioxythiophene): poly (styrenesulfonate))-based composite fiber with silver nanoparticles loaded on the surface. The method comprises the following steps: uniformly mixing a silver nanowire solution with a PEDOT: PSS solution, or uniformly mixing the silver nanowire solution, the PEDOT: PSS solution and a polymer solution to obtain a spinning solution; extruding the spinning solution into a coagulating bath through a wet spinning process and soaking to obtain nascent composite fibers; and drying the nascent composite fiber to obtain the PEDOT: PSS-based composite fiber of which the surface is loaded with silver nanoparticles and the interior contains silver nanowires. The interior and surface structures of the PEDOT: PSS fiber are simultaneously modified, the interior of the fiber contains a silver nanowire structure, and the surface of the fiber has a silver nanoparticle structure. The composite fiber has the characteristics of ultra-sensitive SERS sensing capability, high conductivity, electric heating, molten drop resistance and antibacterial property.

The invention discloses a colorimetric and fluorescent dual-mode nano-enzyme sensor. The colorimetric and fluorescent dual-mode nano-enzyme sensor comprises nano-enzyme, hydrogen peroxide and a colorimetric probe, wherein the nano-enzyme is prepared from ZrCl4, 2-aminobiphenyl dicarboxylic acid and Cu (NO3) 2 by a one-pot method; the colorimetric probe is TMB, can oxidize colorless TMB into blue oxTMB, generates an ultraviolet absorption peak at 652 nm, and has a strong fluorescence emission peak at 405 + / -5 nm. The zirconium-based metal organic framework UiO-67-NH2 with high stability is used as a carrier, Zr < 4 + > sites are replaced by part of Cu < 2 + >, the fluorescent nano-enzyme with peroxidase activity is formed, and the problems that free enzyme is difficult to recover, the stability is low and the like are solved.

The invention discloses an anti-human hepatitis B e antigen monoclonal antibody and application thereof, and relates to the technical field of hepatitis B detection. In a heavy chain variable region of the monoclonal antibody, an amino acid sequence of a complementarity determining region CDR1-3 is as shown in SEQ ID NO.1-3 or has at least 95% of homology with the sequence as shown in SEQ ID NO.1-3; in the light chain variable region, amino acid sequences of complementary determining regions CDR1 and CDR3 are shown as SEQ ID NO.4 and SEQ ID NO.5 or have at least 95% of homology with the sequences shown as SEQ ID NO.4 and SEQ ID NO.5, and an amino acid sequence of a complementary determining region CDR2 is FAS. The monoclonal antibody provided by the invention can well recognize a natural hepatitis B e antigen, and the titer of a supernatant cultured by a B cell can reach 1: 10000, so that the monoclonal antibody can be completely applied to detection research of the human hepatitis B e antigen. The chemiluminescence reagent prepared by using the monoclonal antibody has the advantages of high specificity, strong anti-interference capability, high detection sensitivity, good stability and the like, almost has no leak detection, and can replace an imported reagent.

The invention discloses a construction method and application of an electrochemical luminescence (ECL) antifouling sensor based on zwitter-ion hydrogel, and belongs to the technical fields of photoelectric sensing analysis, interface antifouling and environmental science. According to the invention, the hydrogel based on sulfobetaine methacrylate zwitterions and bovine serum albumin is used as the antifouling coating, so that the adsorption of biological proteins and bacteria is effectively hindered, and the service life of the sensor is prolonged. Meanwhile, the interior label Au (at) luminol is packaged in the antifouling hydrogel, so that the integration of interface antifouling and ratio detection is realized, the detection accuracy is improved, and the construction process of the ECL sensor is simplified. The constructed ECL anti-pollution sensor has high sensitivity to chloramphenicol detection, the detection limit is 0.39 pM, and the ECL anti-pollution sensor is suitable for trace detection of antibiotics in seawater.

The invention provides an electrochemical biosensor based on a nanoparticle modified multilayer porous membrane and application of the electrochemical biosensor. The nano particle modified multilayer porous membrane is composed of a plurality of modified nano particles among membranes with nano pore channels. The electrochemical biosensor constructed based on the nanoparticle modified multilayer porous membrane has the following advantages: (1) good conductivity and stability; and (2) multiple capture probes are modified on the surfaces of the nano pore channels of the multi-layer porous membrane, so that multiple different targets can be respectively detected, and multiple different targets can also be detected at the same time. And (3) enzyme-free double-target sensitive normal-temperature amplification-free detection can be carried out. (4) preparation steps are simple, consumed time is short, and operability is high; and (5) the sensitivity and the specificity are high.

The invention relates to an Internet of Vehicles multi-agent cooperative sensing method and system. The method comprises the following steps: constructing a collaborative sensing network, wherein the collaborative sensing network comprises a self-agent and a plurality of collaborative agents; acquiring and processing sensing data through the collaborative sensing network; performing feature extraction to obtain intermediate features; self-adaptive sparsification is carried out to obtain sparse features, and the sparse features are compressed and transmitted to a self-agent; performing time sequence feature enhancement on the features of all the agents at the self-agent end; fusing the features to obtain fused features; and constructing an Internet of Vehicles perception model, and realizing perception by the detection model according to the fused features. According to the method, the calculation complexity of traditional global attention is reduced from the square level to the linear level through an adaptive sparsification mechanism, the calculation overhead is remarkably reduced while the multi-agent feature interaction precision is kept, and the method is more suitable for real-time operation on the vehicle-mounted edge equipment with limited resources.

The invention discloses a method for determining the purity of electronic-grade hexafluoroethane, and relates to the technical field of the purity of hexafluoroethane, and the method comprises the following steps: vacuumizing a specific sampling container to 10 <-3 > Pa to 10 <-2 > Pa, forming a super-hydrophobic coating on the inner wall, sampling in a temperature-controlled, humidity-controlled and pressure-controlled environment, and removing water and impurities through two-stage pretreatment; enhancing analysis by using a gas chromatograph, a specific carrier gas, a column temperature program, a micro-fluidic chip and an ion mobility spectrometry; then secondary scanning analysis is carried out by using a mass spectrometer double ion source and a calibration system; and finally, learning and matching an algorithm through a data processing system machine. Samples can be accurately collected and pretreated, gas chromatography and mass spectrometry analysis is more accurate and efficient, a data processing system can accurately determine impurities and purity, multiple measurement data can be counted and analyzed, the result reliability is improved, all parts of the system are optimized and matched, the accuracy and stability of the whole process are guaranteed, and the purity is calculated; the method further comprises statistical analysis of multiple measurement data.

The invention relates to the technical field of molecular biological detection, and discloses a composition for detecting pathogenic microorganisms, a kit and application of the composition and the kit. The composition provided by the invention can simultaneously comprise specific primers aiming at a plurality of different pathogenic microorganisms and has excellent specificity and detection sensitivity to the specific pathogenic microorganisms, and different primers do not generate dimerization, so that the different pathogenic microorganisms can be simultaneously, rapidly and accurately detected.

The invention discloses a multi-parameter coupling detection method of an integrated optical sensor and related equipment. The detection method comprises the following steps: injecting different trace medicament combinations into a to-be-detected sample in a plurality of micro-fluidic sub-channels according to a preset time sequence; performing phase shift coding acquisition on the differential optical response signal, splitting a broadband light source into a plurality of wavelength subintervals, and generating a coded light signal with a preset phase shift amount; calculating a cross-correlation function between the channels, and performing signal amplification or suppression processing on the channel group with high coupling degree; multi-dimensional feature extraction is carried out, and the differential interference amount, the amplitude ratio and the phase synchronization degree between channels are calculated; baseline drift and noise distribution are monitored in a preset time window, and parameter adjustment is carried out; and performing self-learning evaluation on the detection data, updating identification model parameters, and generating a multi-parameter fingerprint spectrum. According to the technical scheme, the problems of signal aliasing and insufficient sensitivity in multi-parameter detection are effectively solved, and high-precision synchronous detection can be carried out on various target objects.

The invention relates to the technical field of power industrial control network asset management, in particular to a power industrial control network security-oriented asset dynamic digital fingerprint construction system, which comprises a data acquisition module, a first determination module, a second determination module, an identification module, an adjustment module and a construction module. Through accurate multi-level data acquisition, behavior analysis and threshold adjustment, the security of an electric power industrial control network is remarkably improved, the system can acquire key behavior data of equipment in real time, such as the number of bytes of a data packet, the memory utilization rate and the number of login failures, and normal equipment and abnormal equipment are accurately identified through multi-stage screening, so that the security of the electric power industrial control network is improved. The system flexibly deals with the dynamic change of the equipment behavior by adjusting the byte number fluctuation threshold value, ensures the high efficiency and accuracy of the safety detection, and effectively solves the problems that the system cannot adapt to the network asset change and cannot identify the abnormal equipment in real time due to the dependence on a static fingerprint database and a fixed similarity threshold value.

The invention discloses an antibody for resisting HPV16 and / or HPV18 type E2 protein, an antibody conjugate and application of the antibody conjugate, and relates to the technical field of medical biology. The antibody comprises a heavy chain complementarity determining region in a heavy chain variable region as shown in SEQ ID NO: 1, and a light chain complementarity determining region in a light chain variable region as shown in SEQ ID NO: 2. Tests show that a kit developed based on the monoclonal antibody has the advantages of high detection sensitivity, good specificity, high intermediate precision, high accuracy, consistent linear range of standard curves, fast detection and strong tolerance for the HPV16 and / or HPV18 type E2 antigen, can be used for quality control in the production process of the recombinant human HPV16 and / or HPV18 type E2 antigen, and has wide application prospects. The antigen content in the vaccine can be efficiently and accurately quantified, and the quality of the vaccine can be monitored.

The invention discloses a membrane electrode for a fuel cell type H2 gas sensor and a preparation method thereof. The preparation method comprises: adding SnO2 powder or SnO2-Pd powder to a chloroplatinic acid solution and adding sodium citrate and stirring to obtain a substance A; adding a sodium borohydride alkaline solution to the substance A under ice-water bath conditions, heating in a water bath at 60-90°C for 1-2h to obtain a substance B; centrifuging and washing the substance B, and drying to obtain a target powder, wherein the target powder is Pt / SnO2 powder or Pt / SnO2-Pd powder, wherein Pt / SnO2 is SnO2 modified by Pt nanoparticles, and Pt / SnO2-Pd is SnO2-Pd modified by Pt nanoparticles, and the mass ratio of Pt to SnO2 in the target powder is in the range of #imgabs0#. After the target powder is configured into an electrode slurry, an electrode layer is prepared by using the electrode slurry and adhered to both sides of a Nafion membrane to form a membrane electrode. Assembling the membrane electrode into the fuel cell type H2 gas sensor structure can greatly improve the sensor's detection sensitivity to hydrogen and reduce the sensor's detection limit.

The invention discloses a tunnel waterlogging abnormal event detection method based on YOLO, and the method comprises the steps: firstly collecting a waterlogging video generated in a tunnel through a camera, carrying out the random picture interception of the video, selecting the data of a scene through which a vehicle passes, carrying out the marking, and building a data set; the method comprises the following steps: establishing a data set, then introducing a triple attention mechanism on the basis of a convolution module attention mechanism of YOLOv5 to improve the attention capability of the network on important features, training on a YOLOv5 model by using the established data set to obtain a target detection model, and detecting water accumulation and flooding events occurring in a tunnel based on the target detection model.

The invention discloses a detection method of a micro-fluidic chip and a plasma separation and diversion integrated micro-fluidic chip, and relates to the technical field of micro-fluidic chips. The chip comprises a sample inlet, a separation assembly, a flow guide assembly and a chip body, the sample inlet is used for receiving a blood sample, and the separation assembly is communicated with the sample inlet and used for separating plasma from the blood sample; the flow guide assembly is communicated with the separation assembly; the chip main body is communicated with the flow guide assembly, and the flow guide assembly is used for guiding the separated plasma to the chip main body. According to the plasma separation and diversion integrated micro-fluidic chip disclosed by the embodiment of the invention, the separated plasma is rapidly and completely released while the efficient separation of the plasma is ensured, and the plasma can be effectively guided into the micro-fluidic chip for accurate quantitative detection; efficient plasma separation can be achieved on a microfluidic platform, plasma can be rapidly guided to a detection area, plasma enrichment and extraction are supported, the detection speed and sensitivity can be improved, and the operation process can be simplified.

The invention discloses an active disturbance rejection control method for suppressing subsynchronous oscillation of a doubly-fed wind turbine generator, which relates to the technical field of power system control and comprises the following steps: estimating subsynchronous current disturbance of a first controlled object in real time through a first extended state observer; using a first nonlinear state error feedback control strategy to perform feedback control according to the disturbance estimated by the extended state observer; the rotor current is kept constant, and subsynchronous oscillation is suppressed. According to the method, the sub-synchronous current disturbance of the controlled object is estimated in real time through the extended state observer, accurate estimation of the sub-synchronous current disturbance on the rotor side of the doubly-fed wind turbine generator is achieved, effective feedback control can be conducted on the estimated disturbance by adopting a nonlinear state error feedback control strategy, and therefore the disturbance disturbance can be effectively controlled. The feedback control output variable is calculated through the optimal control function and the current feedback error, real-time compensation of disturbance is achieved, the dynamic response speed of the system is increased, and the disturbance suppression capacity of the system is enhanced.

According to the method, phosphomolybdic acid, copper chloride and ferric chloride serve as precursors, copper and iron-containing phosphomolybdic acid nano-enzyme (Cu, Fe-PMs) with peroxidase-like activity is synthesized through a microwave method, under the acidic condition, on one hand, the surface of Cu and Fe-PMs carries negative charges, high affinity is generated between Cu and Fe-PMs and a substrate TMB with positive charges, and on the other hand, the surface of Cu and Fe-PMs has negative charges; on the other hand, Cu / Fe / Mo three-metal redox couple accelerates the regeneration of Fe < 2 + > and plays an important role in the activity of peroxidase, and meanwhile, due to the introduction of sodium dehydroacetate, Cu and Fe in Cu and Fe-PMs and pyranoid ring and keto O in sodium dehydroacetate interact through coordinate bonds to cause electron interaction, so that the peroxidase-like activity of Cu and Fe-PMs is enhanced, and the peroxidase-like activity of Cu and Fe-PMs is improved. And the Fenton reaction is enhanced through transfer of electrons among the sodium dehydroacetate, the Cu and the Fe-PMs. When Cu and Fe-PMs oxidize TMB and H2O2, sodium dehydroacetate enhances the absorbance of the system, and on the basis, a novel colorimetric rapid detection method of sodium dehydroacetate is established.

A single-photon imaging method based on time information marking comprises the steps that a single-frame binary image containing a timestamp is obtained by collecting sparse photons passing through a sample in a transmission mode, an estimated value of space coordinates of incident photons is obtained through PSF fitting and centroid averaging, an initial reconstructed image containing average photon number estimation is obtained through timestamp reconstruction, and a single-frame binary image containing the average photon number estimation is obtained. And obtaining a final reconstructed image through de-noising optimization processing. According to the method, the arrival time of a photon event is recorded, a probability distribution image of photons is obtained through reconstruction by using a timestamp algorithm, and the image is optimized through post-processing algorithms such as position calibration and filtering and denoising, so that a clear weak light imaging result is obtained.

The invention discloses an analysis method for detecting short-chain fatty acid in table salt by headspace arrow-shaped solid phase microextraction-gas chromatography mass spectrometry, and belongs to the field of analysis and detection. According to the method, firstly, based on a headspace arrow-shaped solid-phase microextraction technology, polar short-chain fatty acids are extracted and enriched by using an extraction head of 100 [mu] m Polyacrylate, and then gas chromatography-mass spectrometry is used for detection, so that qualitative and quantitative detection of nine short-chain fatty acids such as acetic acid, propionic acid, isobutyric acid, butyric acid, 2-methylbutyric acid, valeric acid, 2-methylvaleric acid, 4-methylvaleric acid and hexanoic acid in the table salt can be realized. According to the method, the headspace arrow-shaped solid-phase microextraction technology is used for extracting the short-chain fatty acid in the table salt for the first time, the effects of interference removal, concentration and enrichment are achieved, and the detection limit of the method is reduced by about 2 orders of magnitude compared with that of a headspace-gas chromatography-mass spectrometry method. The method is simple in sample preparation, high in sensitivity, good in recovery rate and stability and suitable for accurate detection of the short-chain fatty acid in the table salt.

The invention relates to the technical field of electroluminescent photoelectric devices, in particular to a photoelectric device based on electro-circular polarization luminescence of a single chiral rare earth complex molecule and a preparation method of the photoelectric device. A spin Hall effect detection layer of the photoelectric device comprises a platinum film and a non-magnetic metal detection electrode; the non-magnetic metal detection electrode is arranged on the side edge of the platinum film in the length direction; the graphene point electrode is arranged on the side edge of the upper surface of the insulating layer in the width direction, the two ends of the molecular heterojunction are connected with the graphene point electrode through amido bonds to form a graphene point electrode-molecular heterojunction array, and the magnetic metal electrode is arranged on the outer side edge of the upper surface of the graphene point electrode in the width direction. According to the photoelectric device, the excellent photoelectric property of the rare earth complex is combined with the molecular electronics technology, the detection sensitivity of the photoelectric device on the single molecule level is improved, the preparation method is mild in reaction condition and easy to operate, and application and popularization of the photoelectric device are facilitated.

The invention provides an image feature detection method based on flexible connection, relates to the technical field of image analysis and processing, and aims to solve the defects of an existing image feature detection method in the aspects of accuracy, processing speed, detection sensitivity, false detection rate and the like. The method comprises the following steps: firstly, acquiring an input image, converting the input image into a grayscale image, carrying out Gaussian filtering processing, then calculating a gradient magnitude and direction, and carrying out non-maximum suppression and dual-threshold processing to obtain a preliminary edge image and a final edge image; and then connecting the weak edge pixels, extracting image features through a connected region analysis algorithm, calculating parameters such as a geometric center, a perimeter and an area, judging whether the features meet requirements or not according to a preset rule, and finally outputting the image features meeting the requirements. According to the method, parameters can be flexibly adjusted, different images can be adapted, the method is excellent in the fields of object recognition, medical image analysis, industrial detection and the like, the detection accuracy and efficiency are improved, the false detection rate is reduced, and the method has wide application prospects and practical value.

The invention relates to the field of DNA amplification, in particular to an intelligent molecular diagnosis and analysis method, device and equipment and a storage medium. The method comprises the following steps: detecting multi-dimensional environmental parameters of the DNA amplification kit in real time based on a multi-dimensional sensing node; performing spatial topology layout mining and environment amplification perception fitting on the multi-dimensional environment parameters, and constructing a real-time amplification perception model; identifying a DNA amplification sample; performing layered temperature control analysis on the DNA amplification sample, and performing dynamic amplification constant-temperature control on the real-time amplification perception model, so as to construct a plurality of dynamic constant-temperature amplification models; carrying out regional DNA reaction degree evaluation on the plurality of dynamic isothermal amplification models one by one, and then carrying out regional flow velocity dynamic regulation, so as to construct a dynamic amplification reaction flow velocity regulation strategy; real-time amplification control is performed based on a dynamic amplification reaction flow rate adjustment strategy to generate a filter optimized amplification reaction signal. According to the method, the accuracy of molecular diagnosis analysis is improved through efficient and convenient DNA isothermal amplification.

The invention discloses a construction method and application of a ratio-dependent electrochemical luminescence (ECL) biosensor based on an antifouling red cell membrane, and belongs to the technical fields of photoelectric analysis, biosensing and interface antifouling. In the invention, the erythrocyte membrane with super-hydrophilicity and low membrane protein content is used as an efficient antifouling interface, and the good biocompatibility of the erythrocyte membrane avoids the influence of a chemical antifouling coating on the biological activity of the ECL sensor. Meanwhile, the electropolymerized polyaniline nanowire is embedded into the antifouling erythrocyte membrane, so that the chemical stability and the conductivity of the antifouling erythrocyte membrane are enhanced, and the application of the antifouling erythrocyte membrane in ECL analysis is expanded. C3N4 is introduced as an interior label for eliminating background signals and external interference, so that the detection precision of the biosensor is improved. On the basis, the constructed ECL antifouling biosensor realizes ultra-sensitive detection of human breast cancer cells MCF-7 in human serum, and the detection limit is as low as 3 cells / mL.

The invention provides a probe capable of being used for fluorescence detection and RAA-LFD detection and application of the probe, the probe is used for isothermal amplification, a fluorophore, two quenching groups and tetrahydrofuran are arranged on the probe, and the fluorophore is located at the fifth end of a probe sequence; the second quenching group is positioned at the end 3 of the probe sequence; the first quenching group is located between the fluorophore and the second quenching group and is 12-20 basic groups away from the fluorophore; tetrahydrofuran is located between the fluorophore and the first quenching group and is 10-18 basic groups away from the fluorophore; the total length of the probe sequence is 27-32 basic groups, and compared with an existing RAA or RPA probe, the total length of the probe sequence is obviously shortened, design and use can be more convenient, the probe sequence is particularly suitable for RAA or RPA multiple amplification, multiple amplification of more than three times can be achieved, the probe can be used as a probe and a primer, the probe can be used for preparing a universal probe and a probe of an RAA-LFD system, and the probe sequence can be used for preparing the RAA-LFD system. The detection accuracy can be obviously improved, and the application prospect is wide.

The invention belongs to the technical field of magnetic particle imaging, particularly relates to a time sequence magnetic nanoparticle imaging device and method for detecting nerve response activity, and aims to solve the problems that the sensitivity of magnetic particle signal detection is not high, a large coil assembly is needed for achieving high magnetic field intensity, the calculation amount is large, and the calculation mode is complex. According to the device, a signal generator outputs a voltage signal, amplifies the voltage signal and then accesses a selection coil and a driving coil; the two selection coils are arranged in a Maxwell configuration and have the same axis; the driving coils are arranged at intervals of 90 degrees from top to bottom, from left to right and from front to back by taking the FFR as the center; the excitation coil, the receiving coil and the selection coil are coaxial; and the high-pass filter filters the signal received by the receiving coil and imports the signal into a computer through a signal acquisition card for time sequence fMPI image sequence reconstruction. According to the invention, the magnetic particle signal detection sensitivity is improved, the volume of the coil assembly is reduced, the calculation complexity and the calculation amount are simplified, and the magnetic particle imaging robustness is improved.

The invention relates to an SERS (Surface Enhanced Raman Scattering) substrate based on a silver-covalent organic framework heterojunction as well as a preparation method and application of the SERS substrate, and belongs to the technical field of analysis and detection. The SERS substrate based on the silver-covalent organic framework heterojunction comprises an amidoxime group modified covalent organic framework material and silver nanoparticles adsorbed on the amidoxime group modified covalent organic framework material. The COF-TpDb-AO with semiconductor characteristics can improve the Raman signal intensity through a chemical enhancement effect, the silver nanocluster generates a strong electromagnetic enhancement effect, the SERS substrate significantly improves the detection sensitivity (the detection limit is as low as 7.4 * 10 <-9 > mol / L) through the cooperation of electromagnetism and the chemical enhancement effect, and the enhancement factor (EF) is 1.26 * 10 < 6 >.

The invention provides an air conditioner which comprises a machine shell, a first refrigerant detection area is arranged in the machine shell, a second refrigerant detection area is arranged outside the machine shell, and the first refrigerant detection area communicates with the second refrigerant detection area; the indoor heat exchanger is arranged in the machine shell, and an input port and an output port of the indoor heat exchanger are located in the first refrigerant detection area; the refrigerant input pipe and the refrigerant output pipe are connected with an input port and an output port of the indoor heat exchanger respectively, and the ends, away from the indoor heat exchanger, of the refrigerant input pipe and the refrigerant output pipe are provided with piping joints; the tubing connector penetrates through the machine shell and is arranged to be connected with an indoor and outdoor unit connecting pipe located outside the machine shell, and the connecting portion of the tubing connector and the indoor and outdoor unit connecting pipe is located in the second refrigerant detection area; and the refrigerant detection sensors are arranged in the first refrigerant detection area and / or the second refrigerant detection area. According to the scheme, refrigerant leakage can be detected in time, so that flammable and explosive risks caused by refrigerant leakage are reduced.

The invention provides a kit and a method for simultaneously detecting CEA, CA125 and CA153 based on a flow cytometry, which are characterized in that proper microspheres and antibody markers are specially arranged for CEA, CA125 and CA153 antibodies, a 1.5-step incubation method and a biotin system are combined, and proper blocking agents and confining liquid are added into a reaction buffer solution, so that the CA153 in a sample is better combined with the microspheres and the antibody markers, and the detection accuracy is improved. According to the present invention, the cross influence of the CA153 on the CEA and the CA125 is reduced, such that the detection accuracy can be significantly improved when the three tumor markers such as the CEA, the CA125 and the CA153 are simultaneously detected based on the flow cytometry, the detection sensitivity of the CEA can achieve 0.3 ng / mL, the detection sensitivity of the CA125 can achieve 0.5 U / mL, and the detection sensitivity of the CA153 can achieve 0.5 U / mL so as to meet the clinical requirements.