71results about How to "Sample requirement is small" patented technology

The invention relates to the field of microalgae identification, and in particular relates to a method for rapid identification of microalgae on a single cell level based on a single cell Raman spectrum. The method comprises the following steps: collecting single cell Raman spectrums of microalgae cells, establishing a microalgae single cell Raman spectrum database, and comparing a single cell Raman spectrum of unknown microalgae with the established microalgae single cell Raman spectrum database, thus realizing microalgae identification or mutant screening on the single cell level. The method disclosed by the invention identifies the microalgae through a single cell Raman spectrum technology; a simple, rapid and non-invasive microalgae identification method on the single cell level is provided, thus providing an efficient discrimination method for microalgae identification and mutant screening.

The invention discloses a primer group and a method for detecting BRCA1 / 2 gene mutation. The primer group comprises three primer pools, 97 pairs of primers in total, and the sequences of the upstreamand downstream primers are as shown in SEQ ID NO.1-194. The method comprises the following steps: first, extracting DNA of a to-be-detected sample, carrying out multiplex PCR amplification by adoptingthe three primer pools, and combining target fragments obtained through amplification by adopting the three primer pools, thus constructing a library, and finally, carrying out library sequencing andbiological information analysis, thus obtaining the BRCA1 / 2 gene mutation condition of the sample. The method has the advantages of high flux, high accuracy, high sensitivity, high automation degree,low demanded quantity of samples, low cost, rapidness, detection for various mutation types, simultaneous detection for multi-site mutation and the like, can be applied to tumor high-risk screening,medication guidance, prognosis and the like, has great significance in domestic BRCA1 / 2 gene mutation detection and pathogenicity analysis and evaluation, and has a wide application prospect.

The invention relates to a medical image automatic annotation method under a small sample condition, and the method comprises the following steps: building a dense linear regression model and a sparse linear regression model for shape mark points of a small sample medical image tissue organ, and synthesizing shape mark points of sample image tissue organs corresponding to other positions; building an affine transformation model for a shape mark area of the small sample medical image tissue organ, and synthesizing textures of the sample image tissue organs corresponding to the other positions; performing a principle component analysis for tissue organs of a new synthesized sample and an original sample image, and generating shape and texture deformable models for the tissue organs; automatically annotating image content on a to-be-annotated image according to astringency of the parameters such as translation, rotation and pantograph ratio of the shape and texture deformable models for the tissue organs by using initial location of a Hough vote study method.

The invention discloses a modeling method of a support vector machine (SVM)-based software measurement instrument in a biological fermentation process. The modeling method uses an optimized SVM modelto estimate fermentation products in the biological fermentation process and comprises two steps: the SVM modeling of the biological fermentation process and the confirmation of an optimal model basedon a genetic simulated annealing algorithm and an akaike information criterion. The invention provides an optimal SVM software measurement instrument model for variables difficult in online measurement in the biological fermentation process, eliminates a phenomenon of untimely control caused by time lag of a traditional offline measuring method, lays a reliable foundation for establishing the SVMmodel in the biological fermentation software measurement and has the advantages of online measurement, automatic parameter optimization, automatic input variable selection, small sample demand and high precision.

The invention discloses a substation electronic transformer state evaluation method based on wavelet neural network, which establishes an electronic transformer operating condition monitoring index system and a basic electronic transformer operating condition monitoring index system based on the operating parameters required by the intelligent substation secondary equipment operating state modeling. According to the big data characteristics of intelligent substation, at first, that massive parameter are analyzed by use the signal correlation algorithm, relevant laws are used to monitor, in addition, and the on-line monitoring scheme of electronic transformer based on wavelet neural network is established. Further analysis is made, the algorithm is verified by experimental and simulation data. The results show that the signal correlation analysis can real-time monitor the relationship between the parameters, and the trained wavelet neural network algorithm can better identify the fault.

The invention discloses an optimized modeling method of a soft measuring instrument for a magnetic chain based on a least squares support vector machine during the stable suspended movement process of a bearingless asynchronous motor. The modeling method comprises the following two parts: modeling via the least squares support vector machine and the determination of an optimal model based on the improved particle swarm optimization. A soft measuring instrument model based on the least squares support vector machine is provided for the magnetic chain variable of the bearingless asynchronous motor difficult to measure in an online way, and the defects of low control accuracy and the like caused by time lag in the traditional offline measuring method can be well overcome. The modeling method has various advantages of automatic parameter optimization, high prediction accuracy, small sample demand size, strong anti-interference capability and the like.

The invention relates to a combined sorting purification device for circulating blood tumor cells. The device comprises a sorting structure, a purifying structure and a control structure, wherein guide wires of the control structure extend to connect the sorting structure and the purifying structure; the control structure controls the sorting structure and the purifying structure; the sorting structure comprises a micro-fluidic chip which comprises triangular micro-array columns on two sides and a wide channel between the micro-arrays; the purifying structure comprises a purifying chip, a permanent magnet, two stepping motors for supporting the permanent magnet to move and supporting pieces for supporting parts, the permanent magnet is arranged below the purifying chip, the two stepping motors are vertically arranged, and the permanent magnet is arranged on one of the stepping motors; the micro-fluidic chip is connected to the purifying chip through a tubular structure; the control structure comprises a power supply and a control unit; and the control structure controls the stepping motors to move. The device can sort and purify tumor cells effectively, and is simpler and more convenient.

The invention discloses an evaluation method of a cigarette mainstream smoke ingredient sensing style index. The method comprises the following steps of collecting cigarette samples used for building an evaluation model for smoking evaluation; building a smoking evaluation vector Yt; dissolving the mainstream smoke particle phase materials captured after the smoking of each cigarette sample; performing extraction and detection; performing spectral peak integration on a sample spectrogram; building a smoke ingredient matrix Xs; then, performing standard treatment on Xs and Yt; then, performing fitting to determine the factor number; obtaining a regression coefficient vector; building a smoke gas ingredient matrix Xt; then, performing standardization processing on Xt and Yt; next, building an evaluation model M; next, after the integration on the selected compound and internal standard peaks, building a smoke ingredient matrix Xp of the sample to be evaluated; inputting the Xp into the evaluation model M to obtain an evaluation result. The method has the advantages that the influence of subjective factors can be eliminated; the individual differences of the smoking evaluation personnel are balanced; the effect of objectively evaluating the cigarette sensing characteristics can be achieved; the work intensity of the smoking evaluation personnel is reduced; the training cost of the smoking evaluation personnel is reduced; the positive practical significance is realized on the product design, processing process design and quality supervision.

The invention discloses an electricity consumption anomaly detection model with constraint conditions. The constraint conditions are given by a line loss anomaly constraint model, and the line loss anomaly constraint model comprises judgment on a non-special line day line loss anomaly and judgment on a special line day line loss anomaly. The electricity consumption anomaly detection model comprises an electricity anomaly model, a power factor anomaly model, an AC voltage anomaly model and an AC anomaly model. The electricity anomaly model comprises judgment on an electricity deviation degree,calculation of the electricity at a load control terminal and electricity metering by a watt-hour meter. The electricity consumption anomaly detection model with line loss anomalies as constraint conditions has the advantages of little misjudgment, high accuracy, less demand for samples and the like.

The invention relates to a pathogenic microorganism detection kit, in particular to an IgM antibody detection kit for five TORCH tests and preparation of the IgM antibody detection kit. The kit is used for detecting IgG-class antibodies in a detection sample in five TORCH tests, namely TOX, rubella virus (RV), cytomegalovirus (CMV) and herpes simplex I / II virus (HSV-I / II).

The invention belongs to the field of biological fermentation as well as the field of information science, relates to a multi-kernel support vector machine based dynamic fermentation process predicating method, in particular to a method for applying an improved support vector machine for establishing a fermentation process model to predict biological state parameters in the fermentation process. The method specifically includes: searching data most similar to data in a current time window from a historical batch database, combining the data to form a similar training sample set, and utilizing the established similar training sample set and applying a support vector machine algorithm to establish a local training model at current time in a current batch. Meanwhile, a multi-kernel function is constructed to process samples in different stages so as to establish local models. By the method, the biological state parameters of the fermentation process are measured timely and accurately, the trouble of staging the fermentation process prior to modeling is omitted, and the method has the advantages of small sample demand quantity, accuracy in prediction and short time, and is of important significance to control of the fermentation process and optimal control.

The invention provides a drug target prediction or drug evaluation method, a multi-label whole transcriptome sequencing library construction method and a multi-label whole transcriptome sequencing library constructed by the method. The method and the library of the invention are suitable for single cells or a few cells, are low-cost, have low quantity demand on samples, and can help realize high throughput accurate evaluation of the action of a drug in a living system. The invention relates to a new generation high-accuracy and high-dimensionality drug screening and evaluation system capable of comprehensive systematic research on the mechanism of drug action and can predict potential combination effect among different drugs and possible new drug research and development target so as to guide new drug research and development and clinical administration.

The invention discloses a reagent for detecting a full-scale C-reactive protein in whole blood. The detection reagent includes a reagent R1 and a reagent R2, the reagent R1 is a reagent for quantitatively detecting hemoglobin, and the detection result is used for hematocrit correction of the C-reactive protein concentration of the whole blood, and the reagent R1 and the reagent R2 are combined toobtain the reagent for detecting the full-scale C-reactive protein. A detection sample used by the reagent for quantitatively detecting the full-scale C-reactive protein in whole blood can be peripheral blood and other blood. The detection reagent can meet the requirements of determination of the content of high-concentration CRP and determination of the content of low-concentration CRP, has the advantages of high sensitivity, strong stability, wide linear range, good anti-interference ability, and good accuracy and precision, and can meet clinical examination requirements. The invention alsodiscloses a method for quantitatively detecting the full-scale C-reactive protein in the whole blood.

The invention relates to an HIV p24 high-sensitivity detection method based on a quantum dot selective cation exchange reaction. The HIV p24 high-sensitivity detection method comprises the following steps: preparing an anti-p24-detection antibody-biotin sandwich compound by adopting a recognition antibody, a to-be-detected sample and a detection antibody; connecting the anti-p24-detection antibody-biotin sandwich compound with streptavidin-alkaline phosphatase to obtain an anti-p24-detection antibody- ALP compound; and adding vitamin C-2-phosphate into the anti-p24-detection antibody-ALP compound for incubation, then adding a silver nitrate solution for a reaction, adding a quantum dot stock solution for the reaction, analyzing fluorescence signals, and acquiring a detection result. A light-emitting quantum dot selective cation exchange reaction signal amplification technology is introduced so that analysis sensitivity is improved; the color of the light-emitting quantum dots is in a visible light range so that visual analysis of human eyes is easy to realize; and the fluorescence analysis sensitivity is high, a sample demand is low, an anti-interference capability is high, an analysis speed is high, and the miniaturized fluorophotometer is convenient to carry.

The invention provides a biosensor based on bismuth-olefin nanosheet fluorescence quenching. The biosensor comprises a fluorescence-labeled single-stranded nucleic acid probe and a bismuth-olefin nanosheet, wherein the single-stranded nucleic acid probe is complementary to a specific miRNA; the single-stranded nucleic acid probe is adsorbed on the surface of the bismuth-olefin nanosheet; when thesingle-stranded nucleic acid probe is adsorbed on the surface of the bismuth-olefin nanosheet, fluorescence is quenched; and when the specific miRNA competitively binds with the single-stranded nucleic acid probe, the fluorescence is recovered. The biosensor based on bismuth-olefin nanosheet fluorescence quenching has the advantages of extremely high detection limit, extremely high detection specificity, simple operation, high detection speed, small sample demand and the like when being used for detecting the specific miRNA. The invention also provides a miRNA detection kit and an applicationthereof.

The invention relates to a four-in-one combined detection test paper box. A coating film of a test paper strip is provided with a quality control region and a detection region in sequence from top to bottom; the quality control region and the detection region are provided with a quality control line and a detection line respectively; and the detection line is composed of an AIDS (Acquired Immune Deficiency Syndrome) virus 1 / 2 type antibody detection line, a hepatitis B surface antigen detection line, a hepatitis C antibody detection line and a treponema pallidum antibody detection line, which are arrayed in sequence from top to bottom. The invention further relates to a preparation process of the test paper box. The preparation process comprises the steps of preparing a label pad, preparing the detection line, preparing the quality control line, preparing a sample pad and preparing a sample diluted solution. According to the product provided by the invention, four infectious diseases can be simultaneously detected on one test paper strip in one step; and the required amount on samples is less and the detection is rapid and accurate.

The invention relates to a detection reagent of pathogenic microorganism, and particularly relates to an IgG antibody detection kit of TORCH five items and preparation of the kit. The detection kit is used for detecting IgG antibodies of TORCH five items, namely toxoplasma gondii (TOX), rubella virus (RV), cytomegalovirus (CMV) and herpes simplex 1-type and 2-type viruses (HSV-I / II) in a sample.

The invention relates to a red blood cell average life detection method based on HbA1c and blood glucose concentration as sensing variables, which comprises the following steps: (1) measuring the concentration HbA1c (%) and the blood glucose concentration [G] of HbA1c in blood sample blood, (2) substituting the measured HbA1c (%) and blood glucose concentration [G] into a formula to calculate thered blood cell average life MRBCl,wherein MRBCl is the average life of red blood cells in a blood sample, HbA1c (%) is the concentration of glycosylated hemoglobin in blood, [G] is the concentration of blood glucose, and K is a correction coefficient. Compared with the prior art, the method provided by the invention has the advantages of simple operation, time and labor saving, low cost, low sample demand, avoidance of potential radioactive exposure, infection and allergic harm, avoidance of numerous influence interferences and the like, and has wider adaptability.

The invention discloses biomolecule detection chips based on optical flow control. A biomolecule detection chip comprises a body, wherein a master micro-channel and a detection cavity are set in the body. The master micro-channel and the detection cavity are communicated through utilization of a micro-gap. The micro-gap is located at an upper part in the body. A sample input port is set on the body. The sample input port is communicated with the master micro-channel. A waveguide stretching into the detection cavity is set on an upper surface or a lower surface in the body. The waveguide is a cylinder of which outer surface and tail end have a standard mirror reflection characteristic. A surface on which the waveguide is set is a transparent surface. The biomolecule detection chip also comprises a mechanism which enables negative pressure to be formed in the detection cavity and the master micro-channel, or an interface which enables the detection cavity and the master micro-channel tobe connected with air extraction equipment. The condition that preprocessing processes such as centrifugation are carried out on a whole blood sample to obtain serum and then detection can be carriedout is avoided. Whole blood is added to the master micro-channel from the sample input port, blood cells of the whole blood in the micro-channel are deposited, the serum flows into the detection cavity through utilization of the micro-gap under an effect of the negative pressure and capillary force, and the serum can be detected.

The invention discloses a quantitative detection method and a kit for rapid diagnosis of human respiratory pathogens. The kit is composed of: at least one human respiratory tract pathogen antibody capture microsphere, a PE-labeled detection antibody, a pathogen protein standard substance, a flow cytometry correction microsphere, a microsphere buffer solution, a cell lysis solution, a sample diluent and a cleaning solution; the kit is simple, convenient, rapid and automatic to operate, high in detection result sensitivity, wide in detection range and good in repeatability, quantitative detection of various pathogens in human respiratory tract epithelial cells and body fluid can be achieved, detection objects can be flexibly combined, and the infection condition of the pathogens can be reflected more truly.

The invention relates to an adjustable fixed gingival separator for dental implanting surgery. The adjustable fixed gingival separator comprises a tooth covering structure, a separating structure and a regulating structure, wherein the front end of the tooth covering structure is connected with the separating structure; the rear end of the tooth covering structure is connected with the regulating structure; the tooth covering structure and the separating structure are in crossed connection; the tooth covering structure is in a left and right two-sheet structure form, is basically anastomotic with the tooth shape and is a straight sheet-shaped structure; the separating structure is of a left and right two-sheet structure, is basically anastomotic with the alveolar cavity shape and is a vertical sheet-shaped structure; a left tooth covering structure sheet is connected with a right separating structure sheet; a right tooth covering structure sheet is connected with a left separating structure sheet; the rear ends of the left and right tooth covering structure sheets are connected; a connecting section is arranged between the corresponding tooth covering structure sheet and the separating structure sheet; the connecting section is arranged in a structure which does not influence the regulation of the tooth covering structure and the separating structure; the regulating structure is arranged on the left and right tooth covering structure sheets; the rear end structure of the regulating structure is longer. The gingival separator has the advantages that gingivae can be effectively separated out; the operation is simple and convenient.

The invention relates to an array surface acoustic wave paper-based microfluidic system for rapidly detecting heavy metal ion concentration. The system comprises a substrate; a paper-based electrochemical three-electrode system is arranged on the upper surface of the substrate; two sides of the paper-based electrochemical three-electrode system are provided with array linear interdigital transducers; the lower surface of the substrate is provided with a diaphragm; and the diaphragm is provided with a temperature control structure corresponding to the position of the paper-based electrochemicalthree-electrode system. When the system is used, a cyclic volt-ampere detection program carried in a smart phone sends digital signals; the digital signals are converted into voltage signals througha Bluetooth module, a micro controller and a digital-to-analog conversion module; a potentiostat for electrochemical measurement is controlled to apply a voltage to the paper-based electrochemical three-electrode system; the paper-based electrochemical three-electrode system undergoes an oxidation-reduction reaction, so that current signals can be obtained; the current signals are converted into digital signals through the potentiostat for electrochemical measurement and the micro controller; and the digital signals are outputted to the cyclic volt-ampere detection program carried in the smartphone through the Bluetooth module, so that a cyclic volt-ampere curve graph can be obtained. The system of the invention has the advantages of capability of realizing precise control, high simplicity, high portability and high efficiency.

The invention discloses a method for identifying spatial distribution characteristics of limnoperna fortunei on the surface of a water delivery structure. The method comprises the following steps: S1, collecting a video of the surface of the water delivery structure; S2, preprocessing the surface video of the water delivery structure collected in the step S1 to obtain a preprocessed image; S3, extracting a local image by adopting a sliding window, and performing semantic segmentation processing on the preprocessed image based on a lightweight L-unet semantic segmentation algorithm; and S4, according to the image subjected to semantic segmentation processing, carrying out identification calculation on the characteristics of the limnoperna fortunei. A set of image preprocessing method is utilized, a sample image is learned based on an optimized Unet semantic segmentation algorithm, a semantic segmentation model of a limnoperna lacustris image is obtained through training, the limnoperna lacustris spatial distribution characteristic is identified according to the model, the limnoperna lacustris segmentation precision is improved, technical support is provided for researching the influence rule of the limnoperna fortunei on the water delivery structure, and operation safety of the long-distance water delivery building structure in the service period is guaranteed.

The invention discloses a mutant gene group, library and kit for evaluating female malignant tumor risk, and belongs to the technical field of biomedical molecular detection. The mutant gene group forevaluating the risk of female malignant tumors comprises one or more selected from a group consisting of the following 25 genes: ATM, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, EPCAM, MLH1, MSH2, MSH6, NBN, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, STK11, TP53, BARD1, MRE11A, MUTYH, RAD50, XRCC2 and FANCC5. According to the invention, female malignant tumor related genetic markers can be widely screened andinspected, accuracy is higher, and a basis is provided for prediction, prevention and diagnosis of female malignant tumor onset risks.

The invention relates to the technical field of aqueous humor antigen detection, in particular to a kit and application of the kit in detecting vascular endothelial growth factors in anterior chamberfluid; and the kit contains the following components which are independently stored: an enzyme reactant, a magnetic separation reagent, a stability enhancer, a calibrator, a cleaning concentrated solution and a substrate solution. The kit provided by the invention can accurately detect the content of the vascular endothelial growth factor in the anterior chamber fluid, has the advantages of smallsample demand, short detection time and wide linear range, and can obviously lower the background value when mutant alkaline phosphatase is used as a magnetic particle sealing agent, thereby loweringthe lowest detection limit of the reagent. The important application value is realized on the diagnosis of VEGF related ophthalmic diseases.

The invention discloses a molecular marker assisted breeding primer based on growth traits of strongylocentrotus intermedius and a screening method and relates to the field of molecular biology. An SLAF-seq technology and a KASP technology are mainly adopted for related SNP marking of growth traits of Strongylocentrotus, and the SNP marking is applicable to early assisted seed selection of the strongylocentrotus intermedius. Through the SLAF-seq technology, accurate typing is guaranteed through high-depth sequencing, the sequencing cost is reduced through a simplified strategy, and the optimalmarking number is guaranteed through prediction of a previous simplification scheme; through the KASP technology, the operation time is shortened, steps are simplified and the cost is reduced.

The invention provides a 12-lamp multi-channel atomic fluorescence spectrometer. A plurality of layers of exciting units are arranged on a channel corresponding to an atomizer; each exciting unit comprises four element lamps with different elements and optical lenses aligned with the element lamps; the formed exciting units, the atomizer, the lenses, a photomultiplier and a signal processing system form a multi-channel element analysis system; an exciting light source of each element lamp in the exciting units is aligned with the center of the atomizer; the exciting light source of each element lamp excites fluorescence emitted from atoms with different elements to be received by the photomultiplier through the lenses and converted into an electric signal to be transmitted to the signal processing system; and the fluorescence intensity is calculated to analyze content of corresponding elements through the signal processing system. The invention has the advantages that: the fluorescence spectrometer is optionally grouped according to needs, the corresponding element lamps serve as a unit and are measured simultaneously, and non-stop continuous operation is realized. The analysis time is saved, the efficiency is improved, the sample required amount is reduced, and the analysis cost is reduced.

The invention discloses a chip and a kit for detecting novel coronavirus nucleic acid as well as a preparation method and application, the chip comprises a functional substrate, a runner layer and a valve control layer which are sequentially arranged from bottom to top, and the functional substrate is divided into a GO nucleic acid capture area and a PLL detection area; a capture probe E of an SARS-CoV-2 virus E section is fixed in a region, positioned in the sample injection flow channel, of the functionalized substrate; the kit comprises the chip, confining liquid, cleaning liquid, a cracking reagent, a negative reference substance and a positive reference substance. When the kit is adopted for detection, nucleic acid extraction and amplification are not needed, the detection sensitivity is high, the sample demand quantity is small, the detection process is simple, and the detection time is short. And preparation materials are cheap, and devices are simple.

The invention relates to a system, a method and a kit for identifying genders of cows and early embryos of the cows, and belongs to the field of biological technology detection. By utilizing the characteristic that bovine folded protein genes exist on X-chromosomes of the cows, a group of primers NB2-F and NB2-R and a probe NB2-P are designed. The group of probe is specially used for identifying the embryos of the cows, and other species cannot be identified, and then by utilizing the specific gene SRY of bulls, special design on the primers and the probe can be carried out by selecting sequence of the bulls, samples of the bulls only can be expanded by the designed primers BOV97M-F and BOV97M-R and the probe BOV97M-P, the two groups of probes are combined to build a composite detection system, so that the genders of the early embryos of the cows can be successfully identified. The system, the method and the kit for identifying the genders of the cows and the early embryos of the cowshave the advantages of high sensitivity (capable of detecting 3 to 5 cells), high sample processing speed, high detection speed, low cost and the like; in addition, pollution caused by multiple PCR (Polymerase Chain Reaction) and nested-PCR is effectively avoided, and a detection ratio and an accuracy ratio are up to 100 percent.