273 results about "Fluorescence response" patented technology

The invention belongs to the technical field of novel fluorescent materials, and particularly discloses application of a mechanical color change pyrenyl derivative in latent fingerprint fluorescence imaging and extraction. The mechanical color-changing pyrenyl derivative can be selectively combined with fingerprint residual substances under the excitation of ultraviolet light through the unique fluorescence response characteristic, so that potential fingerprints form high-contrast fluorescence imaging on smooth or rough surfaces (such as glass, metal, plastic and the like), and the mechanical color-changing pyrenyl derivative is compatible with conventional camera equipment to realize rapid acquisition. The compound design is based on a modular synthesis route, and has the advantages of simple and convenient synthesis process, controllable raw material cost, high reaction yield and the like. The product has excellent thermal stability and chemical stability, can be stored at normal temperature and does not need special treatment, and the practical application threshold is greatly reduced. Compared with a traditional fingerprint developing technology, the method has remarkable breakthroughs in the aspects of sensitivity, substrate adaptability and operation convenience, and an efficient, economical and environment-friendly novel solution is provided for the fields of criminal investigation, forensic identification and the like.

The invention relates to the technical field of quality detection, in particular to an AI-based liquid crystal glass plate defect detection method and system, comprising multi-modal data acquisition, adaptive preprocessing, dynamic intelligent detection, defect cognition decision, closed-loop feedback execution, a safety guardrail mechanism and digital twin support. Compared with the prior art which adopts a single imaging mode for surface detection and has the defects that the omission ratio of tiny flaws is high and metal and PR defects are difficult to distinguish, the scheme innovatively introduces a multi-mode collaborative acquisition mechanism, and the detection accuracy is improved through millisecond-level synchronization and space registration of four sets of bright field, dark field, ultraviolet and structured light imaging systems. A comprehensive data cube containing textures, metal features, fluorescence response and three-dimensional morphology is constructed, full-dimensional capture and accurate characterization of micron-sized flaws are achieved, and the detection rate and classification accuracy of complex flaws are remarkably improved.

The invention discloses an indole-benzothiadiazole derivative as well as a preparation method and application thereof. The general structural formula of the indole-benzothiadiazole derivative provided by the invention is shown in the specification, wherein R is selected from one of methyl piperazinyl, diethylamino, azetidinyl and pyrrolidinyl. The derivative can be specifically combined and fluorescently labeled with mitochondrial RNA in cells, and has good selectivity, high fluorescence signal-to-noise ratio and excellent anti-interference capability in a complex biological system. Meanwhile, the indole-benzothiadiazole derivative provided by the invention is simple in synthetic route, easily available in raw materials, good in stability and convenient to store and use, can be specifically combined with RNA and generate strong fluorescence response, is suitable for real-time detection and imaging of in-vitro and in-vivo mitochondrial RNA, and is an efficient mitochondrial RNA micromolecular fluorescent probe.

The invention belongs to the technical field of water pollutant identification, and particularly relates to a water pollutant distinguishing method and system based on multi-source spectrum fusion. According to the method, ultraviolet visible spectrum data and three-dimensional fluorescence spectrum data are effectively integrated in a multi-source spectrum data fusion mode, so that the characteristic information of water pollutants is captured, stably appearing characteristic absorption wavebands can be positioned by utilizing the ultraviolet visible spectrum data, and the water pollutants can be accurately detected. The method comprises the following steps: identifying a characteristic sub-region capable of representing the fluorescence response characteristic of a pollutant through three-dimensional fluorescence spectrum data, in a characteristic extraction stage, performing first-order derivative operation on an ultraviolet visible spectrum to position an absorption peak position, calculating curvature distribution of a three-dimensional fluorescence spectrum to identify the characteristic sub-region, and when a fusion characteristic is generated, performing first-order derivative operation on the three-dimensional fluorescence spectrum to identify the characteristic sub-region; according to the method, the key operation parameters are subjected to grid search optimization, and the optimal key operation parameter combination is screened out by performing multiple rounds of iterative training and evaluation on a preset training set and a verification set, so that the recognition performance of the real-time collected water sample is improved.

The invention discloses a shrimp pond water quality prediction method based on a deep echo state network, and relates to the technical field of shrimp pond water quality prediction, and the method comprises the following steps: deploying an underwater fluorescence sensor in a shrimp pond culture water body to detect a fluorescence response signal of algae, and obtaining algae concentration data in the water body in real time based on the fluorescence signal intensity; dynamic changes of algae in the prawn pond water are monitored in real time; and performing time sequence alignment on the collected algae concentration data, and constructing an algae concentration time sequence data map based on the aligned time sequence data. According to the method, fluorescence sensor data and a short-time feature extraction mechanism are fused, a deep echo state network is combined to model an algae burst trend, and early warning can be realized before red tide outbreak; and the abnormal area monitoring precision is improved by enhancing a sampling mechanism, the problem of slow recognition of emergencies by a traditional model is effectively solved, and the aquaculture water quality risk perception and intelligent management capability is remarkably improved.

The invention discloses a visual detection test method for damage cracks of a solidified soil test piece, and particularly relates to the technical field of geotechnical engineering material detection. The method comprises the following steps: doping fluorescence labeling particles in a solidified soil test piece, and applying periodic load to induce crack formation after curing and forming; synchronously exciting fluorescent particles through an ultraviolet excitation light source, and collecting a short-wave fluorescence response image sequence; inputting the image sequence into a deep residual neural network model, identifying a nonlinear enhancement region of a fluorescence signal, and deducing a crack initiation position and a propagation path; constructing a three-dimensional dynamic model of crack evolution in combination with an image space reconstruction algorithm and time sequence comparison, extracting indexes such as a crack propagation rate, a bending angle and crack density, performing comparative analysis on the indexes and initial parameters of a material, evaluating a microstructure damage development mechanism, and outputting a visual damage evolution result; the method provided by the invention can realize high-precision, non-destructive and dynamic detection of the fine cracks in the solidified soil, and has the advantages of high identification sensitivity, strong modeling precision and good engineering adaptability.

The present invention provides the synthesis and application of a group of multiple stimulus-responsive aggregation-induced emission enhancement probes, belonging to the field of aggregation-induced emission materials. Through a simple three-step method, a D-π-A type molecular skeleton is constructed in the molecule, and a group of pyranone-type aggregation-induced emission enhancement probes are synthesized. This group of probes can undergo non-interfering changes in fluorescence color or intensity under multiple stimuli such as solvents, pressure, humidity, and pH. On the one hand, it makes up for the relatively single variety of AIE template molecules; on the other hand, it breaks through the technical barrier of single response of aggregation-induced emission probes, realizing the possibility that the same molecule can simultaneously respond non-interferingly to multiple external stimuli. The preparation method of this probe is simple, with high yield and sensitive and rapid fluorescence response, and is suitable for various application needs.

The invention discloses a rare earth metal polymer with multiple stimulation responsiveness and a preparation method thereof, two monomers SP and VTPY are mixed with methyl methacrylate (MMA) according to a certain proportion, a polymer skeleton Poly (VTPY-co-SP-co-MMA) is prepared through a free radical polymerization reaction, the polymer and Tb (Com) 3.2 H2O are further subjected to a coordination reaction according to a specific proportion, and the rare earth metal polymer with multiple stimulation responsiveness is obtained. The Poly-Tb (Coum) 3 with the stimuli-responsive discoloration characteristic is prepared by the aid of the method. The rare earth metal polymer with methyl methacrylate as a framework and rare earth terbium ions and spiropyran monomers as double emission centers is synthesized, has multiple stimulation response characteristics, provides a brand new strategy and possibility for development of rare earth-based multifunctional intelligent materials, and has wide application prospects. An innovative solution is provided for development of a thermal enhanced rare earth luminescent material, the thermosensitive fluorescence response performance of the material is greatly improved, and a new thought is provided for design of an intelligent temperature response type rare earth luminescent material.

The invention discloses an ANA detection image-text report intelligent generation method and system, and relates to the technical field of immunodetection, the system uses different fluorescent markers to mark ANA, signal sensitivity is enhanced, and detection accuracy is ensured. Then, collecting fluorescence signals of different wavelengths by adopting a fluorescence microscope and a multi-wavelength excitation light source, and obtaining dynamic change data of reaction intensity by combining a time-resolved fluorescence imaging technology to generate a multi-channel imaging data set; thirdly, noise removal, signal enhancement and image alignment are carried out through an image preprocessing technology, and data consistency is ensured; based on a multi-channel data set, a convolutional neural network is used for training and testing an initial model, an intelligent detection model is constructed, a fluorescence reaction mode is extracted, finally, a detailed ANA detection report is automatically generated by calculating a comprehensive scoring coefficient and comparing the comprehensive scoring coefficient with a preset threshold value, and an accurate immunodiagnosis basis is provided for doctors.

The invention relates to the technical field of biomedical analysis instruments, and discloses a DNA quantitative fluorometer calibration system based on artificial intelligence optimization, which comprises a data acquisition module for acquiring a dynamic fluorescence characteristic spectrum for representing the whole process of fluorescence reaction; and an intelligent calibration and diagnosis core model in the data processing unit analyzes the spectrogram by using a long short-term memory network and an attention mechanism so as to generate a multi-dimensional diagnosis result containing predicted concentration, confidence score and interference early warning. According to the method, the dynamic fluorescence characteristic spectrum of the standard substance is used as a scene anchor point, the preset global basic model is finely adjusted, and the special session model is generated, so that the real-time self-adaptive calibration of the change of the instrument and the reagent is realized. According to the method, the defects that a traditional method depends on an end point value, is easily interfered and is static in calibration are overcome, and the accuracy, reliability and long-term stability of a DNA quantitative result are remarkably improved.

The invention discloses a magnetic aggregation induced emission particle fluorescence-electrochemical nucleic acid dual detection chip and system.The chip comprises a chip body and an upper cover, and a plurality of electrochemical reaction detection cavities and fluorescence reaction detection cavities are formed in the left side and the right side of the chip body in the front-back direction respectively; the electrochemical reaction detection cavities and the fluorescence reaction detection cavities are arranged in a one-to-one correspondence manner; each electrochemical reaction detection cavity and each fluorescence reaction detection cavity are provided with a flow channel, and one end of each flow channel is communicated with the electrochemical reaction detection cavity or the fluorescence reaction detection cavity; the other end of the sampling tube is communicated with an MAIE electrochemical detection auxiliary liquid sample adding hole and an MAIE fluorescence detection auxiliary liquid sample adding hole which are formed in the chip main body; a plurality of MAIE electrochemical detection sample adding holes and MAIE fluorescence detection sample adding holes are formed in the upper cover, and corresponding openings are formed in the positions, corresponding to the MAIE electrochemical detection auxiliary liquid adding holes and the MAIE fluorescence detection auxiliary liquid adding holes, of the upper cover.

The invention relates to the technical field of electrocatalytic oxidation, and provides a fluorescence detection condition control system and method, and the system comprises a strategy library which uses XGBoost to train strategy algorithm models of different water sample water qualities and initial wave bands; the initialization module is used for calling the strategy library to load the water quality type according to a detection environment and setting initial state water sample condition matching; the pre-excitation module is used for lightening the single-band LEDs one by one to obtain an initial fluorescence response value; the self-adaptive detection module is used for calling a strategy algorithm model and generating a wave band combination and excitation intensity configuration according to the initial fluorescence response value; the temperature compensation module monitors the key temperature in real time through a temperature sensor and carries out compensation correction according to a fluorescence error caused by temperature drift; and the analysis report module outputs a Cu < 2 + > concentration detection result. According to the method, the water quality preset strategy library and the temperature compensation mechanism are combined, Cu < 2 + > fluorescence detection under the complex matrix background is achieved, and the accuracy and environmental adaptability of low-concentration heavy metal detection are remarkably improved.

The invention relates to a preparation method and application of a fluorescent ZET-MOGs material, and the method comprises the following steps: placing ZrOCl2. 8H2O in a glass container, fully dissolving ZrOCl2. 8H2O by using deionized water and ultrasonic treatment, and naming as a solution A; 2, 4, 6-tri (4-carboxyl phenyl)-1, 3, 5-triazine (TATB) is placed in deionized water, triethylamine is added and subjected to ultrasonic treatment to be fully dissolved, and a solution B is obtained; mixing the solution A and the solution B according to a volume ratio of 1: 1 to form Zr-MOGs wet gel; the obtained wet gel is washed with deionized water, and Zr-MOGs powder is obtained through freeze drying; eu (NO3) 3.6 H2O and Tb (NO3) 3.6 H2O are dissolved in ethyl alcohol, then Zr-MOGs powder is added, stirring and centrifugal separation are carried out, washing is carried out with ethyl alcohol, and finally light yellow fluorescent ZET-MOGs powder is obtained through vacuum drying. The ZET-MOGs prepared by the preparation method disclosed by the invention has a relatively large specific surface area, relatively high porosity, rich surface functional groups and stable fluorescence response characteristics, and shows efficient removal efficiency and sensitive detection capability on CTC in a water body.

A method of analyzing a mixed fluorescence response of a plurality of fluorophores in a microscopic sample includes reconstructing individual fluorescence responses from a mixed fluorescence response using spectral un-mixing based on reference emission spectra for fluorophores to be reconstructed, and a procedure for determining and validating reference emission spectra including providing a plurality of image acquisition settings for a sequence of images of the sample equal to, or greater than, the plurality of fluorophores and including an illumination setting for each image, acquiring the sequence of images using the plurality of image acquisition settings and storing each image together with the corresponding illumination setting, determining candidate reference emission spectra for the fluorophores to be reconstructed from the sequence of images of the sample using one or more reference emission spectra determination algorithms, and conditionally using the candidate reference emission spectra as the reference emission spectra in the spectral un-mixing.

The invention discloses a graph pattern generation method based on a Clarii graph, and relates to the technical field of information, and the method comprises the steps: constructing an extended fluorescent material calibration module, introducing a saturation critical light intensity reference value, and carrying out the calibration of the Clarii graph under the dual constraints of color temperature deviation distribution and brightness standard deviation; according to the method, the pattern contrast change condition is recognized through the adjusted pattern contrast, a correction index is formed, the LED backlight wavelength is corrected for the second time according to the correction index, pattern structure deviation information is fed back to a spectrum control link, and the color uniformity of the LED backlight is improved. According to the scheme, on the premise of ensuring uniform fluorescence response and inhibiting bright spots, dark spots and stripes, the Clariy pattern can be kept stable, clear and layered in an actual application environment.

The invention relates to rare earth doped perovskite quantum dot glass and a preparation method thereof, and belongs to the technical field of inorganic functional materials and optical functional glass. The method comprises the following steps: preparing nanopore SiO2-Al2O3 glass as a matrix by adopting a sol-gel method, adding a lead source and a rare earth europium source, drying and sintering to obtain uniformly-doped porous glass, soaking the uniformly-doped porous glass in a CsBr methanol solution, and generating the CsPbBr3 perovskite quantum dots in situ. In the glass, the CsPbBr3 quantum dots show wavelength-adjustable broadband luminescence, the Eu < 3 + > ions show narrow-band luminescence, and the CsPbBr3 quantum dots and the Eu < 3 + > ions show double-peak reverse fluorescence response under the action of hydrogen chloride gas. The aperture structure can be controlled by adjusting the use amount of the aluminum lactate, so that the size and the luminescence property of the quantum dot and energy transfer between the quantum dot and Eu < 3 + > ions are adjusted, and the luminescence property and the response characteristic are optimized. The material is uniform in doping, stable in structure and suitable for the fields of multiband luminescent devices and gas sensing.

Techniques for wound image processing are disclosed. Access to a smartphone that includes an integrated color camera is obtained. An external light source is coupled to the smartphone. The external light source emits at least one light wavelength for illuminating a material sample. The light wavelength excites a fluorescence response from the sample. The fluorescence response comprises wavelengths along the Red-Green-Blue (RGB) light spectrum. The external light source is triggered. An illumination signature of the sample is captured, by the integrated color camera, in response to the external light. An output indicative of biophysical status of the sample is generated. The output is based on analysis of the captured illumination signature. A thermal image of the sample is further captured, using an infrared sensor coupled to the external light source. The output is augmented based on an analysis of the thermal image.

The invention discloses a power system equipment operation risk intelligent identification and early warning system. The system comprises an environmental parameter acquisition module, a passive ultraviolet fluorescence detection module, an active ultraviolet laser excitation module, a background fluorescence analysis and dynamic threshold calculation module, an abnormal signal confirmation module, an intelligent determination module and a closed loop verification and alarm module. Environment characteristic indexes are calculated by monitoring temperature, humidity and air pressure in real time; collecting and analyzing a natural ultraviolet fluorescence signal, actively emitting ultraviolet laser to excite environmental fluorescence response, and adaptively calculating a dynamic anomaly judgment threshold value; abnormal signals are accurately confirmed by utilizing multi-dimensional feature combination and feature space analysis, and corona discharge and line discharge are distinguished through intelligent judgment; and finally, carrying out automatic secondary verification positioning on the visible light image, and automatically generating a discharge early warning signal. The system has the characteristics of high sensitivity, strong interference resistance and high intelligent degree, and the discharge detection reliability is effectively improved.

The invention relates to the technical field of biology, in particular to a fluorescence detection device for production of polygonatum sibiricum concentrated enzymes and capable of preventing test tubes from being damaged, which comprises a fluorescence detection mechanism, when an annular plate moves upwards, air pressure in a cavity formed by a middle protective cover and an outer protective cover is reduced, and when a valve core moves leftwards, a conical part of the valve core pushes an ejector rod to move; the other end of the ejector rod pushes a triangular block to move transversely, so that a circular ring I drives a circular ring II to move rightwards to extrude fluorescent powder, and meanwhile, a spray head generates suction force to a connecting hole, so that liquid in a test tube flows out of a crack more easily, the fluorescent powder is scattered to the position of the connecting hole after being extruded, and the liquid seeps out of the connecting hole to generate fluorescent reaction; the fluorescent agent is triggered to be injected into the test tube through the air pressure change, whether the test tube is damaged or not is rapidly judged, fluorescent powder is sprayed to the crack of the outer wall of the test tube through the valve assembly, damage positioning is achieved in combination with seepage fluorescence reaction, and the detection precision is remarkably improved.

The application belongs to the field of explosive detection, and discloses a polyimide loaded triaminophthalocyanine probe, a preparation method thereof and application thereof in detecting nitroaromatic explosives. The probe has the following general structure formula. The probe is prepared by cross-linking copolymerization of 5,10,15-tri(4-aminophenyl)-20-phenyl porphyrin, aromatic tetracid dianhydride and aromatic organic diamine. The polyimide high-molecular cross-linked branch loaded triaminophthalocyanine compound with fluorescent light emitting performance is prepared for the first time. The probe is applied to detecting various nitroaromatic explosives by quenching fluorescence response, and the detection method is simple, and has good application prospect in the field of public security.

The invention discloses a multi-emission composite nano ratiometric fluorescent probe for detecting fluoroquinolone antibiotics and a preparation method of the multi-emission composite nano ratiometric fluorescent probe. The CdTe-Tb-UMP composite nano ratiometric fluorescent probe with double ligands is prepared by taking metal terbium ions (Tb < 3 + >) as central ions and respectively taking uridine monophosphate (UMP) and CdTe quantum dots with red fluorescence emission as bridged ligands. ENR is further coordinated with Tb < 3 + >, energy is transferred to Tb < 3 + > through an antenna effect, so that characteristic green fluorescence of Tb < 3 + > is turned on, and fluorescence of CdTe quantum dots is almost kept unchanged. On the basis, a portable nursing point testing system is further constructed, and the portable nursing point testing system comprises an intelligent mobile phone detector and a wearable fingertip sensor integrated with a micro-fluidic chip and is used for on-site rapid detection of the ENR. The paper-based chip shows rapid and sensitive fluorescence response, and the detection limits of the spectrograph and the paper-based sensor on the ENR are 4.7 nM and 13.1 nM respectively. The probe can be applied to detection of ENR in actual environment water samples, food and drugs.

The application discloses a three-channel fluorescence sensor array based on sulfur quantum dots and a preparation method and detection application thereof. The sensor array is composed of three kinds of sulfur quantum dots, namely C-SQDs, PSS-SQDs and beta-SQDs. When target objects exist, the three kinds of sensing units generate differentiated fluorescence responses, forming a unique "fingerprint map". By using principal component analysis to analyze the response mode, the array can successfully distinguish between structurally similar baicalein, fiscetin, myricetin, quercetin and rutin in a concentration range of 8.0-56 muM. In addition, the array can also perform semi-quantitative analysis on a single flavone compound in a range of 4.0-56 muM, and the first principal component has a good linear relationship with the logarithm of the concentration of the target object.

The invention discloses a multi-parameter wearable intelligent optical fiber sensing system, and the system comprises a fluorescent sensing patch which is used for detecting a target object through a fluorescent reaction, and comprises a biosensor which is used for reacting with the target object and generating a fluorescent signal; the data glove is used for monitoring the bending state of finger joints in real time and achieving gesture recognition and comprises a glove body and a plurality of optical fiber bending sensors attached to the joint portions of the glove body, and the optical fiber bending sensors reflect the finger bending degree in real time through light intensity changes and output multi-dimensional light intensity signals. And the wearable optical fiber detector is connected with the fluorescent sensing patch and the data glove and is used for collecting and analyzing the fluorescent signal and the bending signal. The multi-parameter wearable optical fiber intelligent sensing system has multi-channel and full-automatic intelligent detection and analysis capability, can provide real-time monitoring and analysis services of multiple physical and chemical parameters such as fluorescence, gesture bending and environment temperature and humidity at the same time, and provides powerful technical support for application in various fields.

This application discloses an embedded whole-cell biosensor, its fabrication method, and its application in machine learning-assisted mercury ion detection, belonging to the field of sensor materials and detection technology. This sensor encapsulates *E. coli* expressing green fluorescent protein (GFP) in a polyacrylamide / hyaluronic acid (PAAM / HA) hydrogel matrix, enabling highly selective and sensitive detection of mercury ions. It effectively eliminates interference from competing metal ions and can be completely regenerated through EDTA-2Na treatment, allowing for repeated use without performance loss. It maintains a stable fluorescence response for up to three weeks, possesses excellent biocompatibility and biodegradability, minimizing the risk of secondary contamination, and facilitates rapid on-site analysis.

The present invention discloses a fluorescence probe based on naphthalimide for detecting nerve agent simulants, which relates to the technical field of fluorescence probes. To further expand the detection means of fluorescence probes based on naphthalimide for nerve agent simulants; the structural formula of the organic probe 1 of the present invention is synthesized with naphthalimide as the fluorophore and piperazine as the recognition site; the synthesis method of the organic probe 1 of the present invention is simple, and the organic probe 1 has good fluorescence responses to DCP and DCNP, can visually detect DCP and DCNP, can well recognize DCP and DCNP, and has a low detection limit; it provides a new detection means for fluorescence probes based on naphthalimide for nerve agent simulants, which is conducive to the further development of nerve agent detection technology based on fluorescence probes.

The invention belongs to the technical field of fluorescent probes, and relates to a preparation method and properties of two pH, viscosity and polarity three-response near-infrared fluorescent probes. The probe PODI and the probe PODB have the strongest fluorescence in an alkaline condition under excitation of 390nm, and the fluorescence is weakened when the acidity is enhanced; when excitation is carried out at 600nm, the fluorescence intensity is enhanced along with the increase of the glycerol content, and the viscosity change in acidic and neutral systems can be detected. The two probes present fluorescence response to polarity change: polarity-enhanced fluorescence rises under excitation of 390nm, and polarity-reduced fluorescence rises under excitation of 600nm. The preparation method is simple, high in yield and suitable for industrial production.

The present disclosure relates to a diagnostic cartridge for immunodiagnosis, and a reader and a diagnostic system using the same. A diagnostic cartridge, including the diagnostic pad and the color reaction pad, is provided to detect a color reaction and a fluorescence reaction through the single diagnostic cartridge.

The present invention relates to a fiber optic fluorescence sensing detection system for food pathogens, comprising a sensing module and a detection module. The sensing module includes a fiber optic fluorescence sensing module (optical components and a fluorescence reaction module) and an environmental sensing module. The optical components include an optical fiber array, a filter, a collimating lens, and an image sensor. The fluorescence reaction module includes an excitation light source and a multi-channel fluorescence reaction tank. The excitation light source irradiates the solution in the centrifuge tube in the multi-channel fluorescence reaction tank to stimulate a fluorescence signal. The fiber optic array transmits the fluorescence signal. The filter selects the fluorescence signal. The collimating lens amplifies and focuses the fluorescence signal. The image sensor is used to image the fluorescence signal. The environmental sensing module includes several sensors that collect environmental data. The detection module obtains a fluorescence intensity image obtained by the image sensor and environmental data collected by the environmental sensing module, and performs pathogen detection on the solution of the food sample. The present invention can effectively detect food pathogens.

This invention discloses a eutectic material with ion-stimulated fluorescence response and its preparation method. The eutectic material is a co-crystallized compound formed by a fluorescent cyclophenone and a crown ether through a host-guest interaction. The eutectic material and its preparation method provided by this invention utilize a fluorescent cyclophenone as the host and a crown ether as the guest, and the two are combined through a host-guest interaction to obtain the eutectic material. This material not only possesses ion-stimulated fluorescence response characteristics but also has advantages such as high spatiotemporal resolution and good sensitivity.

This utility model relates to the field of microbial detection technology, and more specifically, to a temperature-controlled handheld ATP fluorescence detector. It includes a housing, a temperature control component, and a main circuit board and a detection mechanism respectively disposed within the housing. The detection mechanism has a detection chamber for holding a swab. The main circuit board integrates a central processing module and a fluorescence detection module. The temperature control component includes a heating element and a temperature sensor respectively installed in the detection mechanism. The signal output terminal of the temperature sensor is electrically connected to the central processing module, the signal output terminal of the central processing module is electrically connected to the heating element, and the signal output terminal of the fluorescence detection module is electrically connected to the central processing module. The temperature sensor senses the temperature of the reagent. If the detected reagent temperature is lower than the optimal temperature range for the ATP fluorescence reaction, the heating element will activate to heat the reagent to the optimal temperature range. This ensures detection accuracy even in low-temperature environments and provides high environmental adaptability.