2008 results about "Standard samples" patented technology

The invention discloses an integral detecting reacting board and protein chip agent box of Carcinoembryonic antigen,CEA, 15-3 CA15-3(Carbohydrate Antigen 15-3,CA15-3), CA 125 (Cancer antigen 125,CA125), Squamous cell carcinoma antigen,SCC, Human papillomavirus antibody,HPVAb, beta-human chorionic gonadotropin, beta-HCG and alpha-fetoprotein,AFP, wherein the reacting hole board contains base and reacting hole on the base; the reacting hole contains 2-384 sample holes, 2-200 standard sample holes; the fixing phase carrier is set on the bottom of each reacting hole, which is covered by seven antigen or antibody molecule arrays with anti-CEA, anti-CA15-3,anti-CA125,anti-SCC,HPV,anti- beta-HCG,anti-AFP.

The present invention provides a method and apparatus for the detection of an infectious disease or disorder in a fluid, such as a mammalian blood sample, the detection of a specific protein in a urine sample, or the detection of a particle in a plasma. The identification of the particles of interest is enable by taking a transmission spectrum of a test sample in at least a portion of the ultraviolet, visible, near-infrared portion of the spectrum and comparing the spectrum with a standard sample spectrum. From the comparison it is then determined whether the fluid from the test sample contains an particle of interest, and an identity of the particle of interest is determined. Spectroscopic and multiwavelength turbidimetry techniques provide a rapid, inexpensive, and convenient means for diagnosis. The comparison and determination steps may be performed visually or by spectral deconvolution.

The invention provides a segmentation model training method to solve the problems of low training efficiency, long time consumption, and high cost of a segmentation model in the prior art. The method includes: performing free area segmentation on a training sample image by employing an unsupervised free area segmentation method to obtain a free area segmentation image of the training sample image; performing iterative training on a preset convolution neural network by employing a self-paced learning method and by regarding the training sample image as an input image and regarding the free area segmentation image as a mark image to obtain an initial segmentation model; and training the initial segmentation model by regarding a preset standard sample image as the input image and regarding a road area image marked on the standard sample image in advance as the mark image to obtain a target segmentation model. By employing the method, the segmentation accuracy of the segmentation model obtained by training is ensured, the training speed and efficiency can be increased, and road segmentation is performed based on the target segmentation model so that the result of road segmentation is more accurate.

The invention discloses a device for testing the durability of a water pressure resistant grouted rock, which comprises a pressure chamber, a control cabinet, heating equipment, pressurizing equipment, measuring equipment and accessory equipment, wherein the heating equipment can supply a stable heat source for the pressure chamber; the pressurizing equipment can provide confining pressure and osmotic pressure for the pressure chamber; the pressure chamber can apply an axial pressure by means of a universal test, is corrosion resistant and can realize annular and vertical penetration tests of three kinds of standard samples of different dimensions at different temperatures and pressures; the measuring equipment can realize accurate measurement of temperature, pressure and flow rate; and the control cabinet can realize the accurate control of pressure and temperature. The device can be used for indoor researches on the durability of tunnel water pressure resistant grouted rock or dam impervious curtain in an environment of high-water-pressure and corrosive environment, and at the same time, realizes the researches on the change rule of the permeability of a rock sample under the coupled actions of a temperature field, a seepage field, a stress field and a chemical field.

The invention discloses a method for nondestructively measuring main fatty acid content of peanut seeds. The method comprises the following steps of: based on the Fourier transform near-infrared diffuse reflection spectrum technology, scanning spectrums by adopting a best integrating sphere diffuse reflection mode for eliminating solid granule non-uniformity, establishing a multiple regression mathematical model by using full peanut seeds of multiple genotypes as standard sample sets, and predicting the main fatty acid content of an unknown sample through the model. The method is nondestructive, does not need to treat the sample, and does not harm the vitality and tissue structure of the seeds. The method has the advantages of simple operation, high sensitivity, high scanning speed, good signal-to-noise ratio and high measurement speed, and is suitable for high oleic acid quality breeding, germ plasm resource identification and inheritance rule research of peanuts.

The invention discloses a method for identifying tea species and determining contents of 21 characteristic components. The method comprises the steps of selecting tea standard samples, measuring the contents of 21 characteristic components in a standard sample, establishing a sample matrix for indexes, calculating the squared euclidean distance between the same kind of tea standard samples by applying a principal component analysis method and a cluster analysis method, selecting the chemical component with maximum weight in the principle component as a distinguishing factor and taking the distinguishing factor as an independent variable so as to obtain the squared euclidean distance of the standard samples, determining the contents of the characteristic components of the distinguishing factors of samples to be determined, respectively calculating the squared Euclidean distance of the samples to be determined and the tea standard samples, and judging the species of the samples to be determined. The method can be used for effectively distinguishing Tie Guanyin and white tea and is objective and reliable for classifying of tea.

The invention relates to a magnetic corpuscule chemiluminescent enzyme immunoassay kit for detecting carbohydrate antigen and the application method thereof. The kit comprises FITC antibody-coated magnetic corpuscules; a marker solution prepared by mixing the FITC-marked carbohydrate antigen monoclonal antibody and the enzyme-marked carbohydrate antigen monoclonal antibody; a carbohydrate antigen standard sample solution; a concentrated washing solution; and a luminescent substrate solution, wherein carbohydrate antigen optionally adopts one of CA72-4, CA50, CA19-9, CA242, CA15-3, CA27-29 and CA125. The enzyme-marked antibody and the FITC-marked antibody are the monoclonal antibodies corresponding to the antigens. The FITC antibody coating the magnetic corpuscules adopts a polyclonal antibody or a monoclonal antibody. The marker solution is prepared by mixing an FITC-marked capture antibody working solution and an enzyme-marked antibody pair working solution by the volume ratio of 1:(1-3). Compared with the known kit for mensurating the carbohydrate antigen, the kit has the advantages of high flux, high sensitivity, wide linear range, rapidness, etc., and has a wide application prospect for the clinical inspection, etc.

The sample measuring face of a dielectric resonator (20) is placed near a standard sample having a known dielectric constant at a fixed interval D. While appropriately varying the dielectric constant and thickness of the standard sample under the above condition, the variation of the resonance frequency of the dielectric resonator (20) is measured for each varied dielectric constant and thickness to draw a calibration curve of the varied resonance frequency depending on the dielectric constant and thickness. Under the same condition where calibration curve is drawn, the variation of the resonance frequency of the dielectric resonator (20) for a sample having a known thickness is measured. The dielectric constant of the sample is found from the measurement value and the calibration curve. The dielectric constant of not only a sheetlike sample but also a three-dimensional molded article or a liquid sample can be measured easily.

The invention discloses a method and a system for identifying an offline handwritten signature. The method comprises the following steps of S1, preprocessing an offline signature sample in an offline signature sample library; S2, extracting a plurality of characteristics for a preprocessed signature image, wherein the characteristics include moment characteristics, local binary pattern characteristics, gray-level co-occurrence matrix characteristics and pulse coupled neural network characteristics; S3, training the plurality of extracted characteristics of the offline signature sample to obtain a trained standard sample library; S4, acquiring a signature to be detected, and preprocessing the signature to be detected to obtain the plurality of characteristics of the signature to be detected; and S5, matching the plurality of characteristics of the signature to be detected with corresponding characteristics of the offline signature sample in the standard sample library, and identifying whether the signature to be detected is a genuine signature or a forged signature. The method and the system can effectively and accurately identify an offline signature to be detected.

The invention discloses an audio mixing method and equipment thereof, so that a defect of a present server can be overcome, wherein the defect is that there is limitation of many conditions during audio mixing processing. The disclosed audio mixing method comprises the following steps that: a server receives and decodes voice coded data in the best fit sampling rate, channel amount and coding mode sent by at least two source clients, wherein formats of the decoded data are unified as a PCM format; the server determines whether the sampling rates and sound channels of the voice coded data transmitted by all source clients are in accord with standards; if not, the voice data of the source clients are sampled again according to a standard sample rate, wherein the sample rates of the voice data are different from the standard sample rate; and meanwhile, the voice data of the source clients are expanded or merged according to a standard sound channel, wherein the sound channels of the voice data are different from the standard sound channel; the voice data, which have a unified sample rate and a unified sound channel, are aligned according to a time stamp; and audio mixing processing is carried out on the aligned voice data, and then the processed voice data are sent to a lodge client. The disclosed method provide in the invention can be applied widely to a VOIP multi-people meeting.

A calibration technique is provided that utilizes a standard sample that allows for calibration in the wavelengths of interest even when the standard sample may exhibit significant reflectance variations at those wavelengths for subtle variations in the properties of the standard sample. A second sample, a reference sample may have a relatively featureless reflectance spectrum over the same spectral region and is used in combination with the calibration sample to achieve the calibration. In one embodiment the spectral region may include the VUV spectral region.

The invention provides a method for identifying traditional Chinese medicinal materials by combining infra-red spectra with cluster analysis, which includes the following steps of: (1) selecting a same traditional Chinese medicinal material as a standard sample; (2) detecting the standard sample by infra-red spectra to obtain an infra-red spectrogram; (3) establishing a standard infra-red model of the traditional Chinese medicinal material by a cluster analysis method with the obtained infra-red spectrogram; and (4) comparing the standard infra-red model with the infra-red spectrogram of the sample of traditional Chinese medicinal material to be identified and directly analyzing and identifying the traditional Chinese medicinal material. The method is simple, convenient, and rapid, and can keep the integrity of the traditional Chinese medicinal material and directly determine the quality of the traditional Chinese medicinal material and identify whether the traditional Chinese medicinal material is authentic or not.

A set standard sample is identified, and a quality control material relevant to a reagent requested by the standard sample and stored in a buffer is fed automatically to an analyzer module. The measurement of the quality control material is performed immediately after the measurement of the standard sample for the reagent. A warning signal is generated to prompt the operator to replenish the quality control material when it is decided from the amount of the residual quality control material stored in the buffer that the quality control material is insufficient.

The invention relates to a nondestructive testing analytical method for kerogen based on terahertz time-domain spectroscopy. The method comprises the following steps of: firstly, selecting a sample cell; secondly, preparing a kerogen standard sample and accommodating the kerogen standard sample in the sample cell; thirdly, detecting the kerogen standard sample and the empty sample cell by using the terahertz time-domain spectroscopy to obtain a terahertz pulse time-domain waveform of the kerogen standard sample and a terahertz pulse time-domain waveform of the empty sample cell; fourthly, carrying out data processing on the terahertz pulse time-domain waveform of the kerogen standard sample and the terahertz pulse time-domain waveform of the empty sample cell to construct a standard fingerprint spectrum library; and fifthly, analyzing the thermal evolution and hydrocarbon generating capabilities of the kerogen standard sample according to optical parameters of the standard fingerprint spectrum library. The nondestructive testing analytical method for the kerogen based on the terahertz time-domain spectroscopy which is disclosed by the invention has the advantages of quick and nondestructive detection for the kerogen, easiness in operation, simpleness in data processing, favorable repeatability and relatively accurate measuring result.

The invention provides a method for comprehensively evaluating electric energy quality based on a grey theory. The method comprises the following steps that the weight of an electric energy quality evaluation index is calculated through an objective weighting entropy evaluation method; the weight of the electric energy quality evaluation index is calculated through a subjective weighting AHP method; the weight vector of the electric energy quality evaluation index is determined; the electric energy quality is comprehensively evaluated based on grey correlation analysis in the grey theory. Through the adopted combination weighting method, the defects of the single weighting method that the subjectivity of people is relied on too much in a subjective weighting method and expert opinions cannot be reflected in an objective weighting method are overcome, the expert opinions can be reflected, the actual condition of the electric energy quality can be reflected, and all subitem index weight coefficients of the scientific electric energy quality are obtained. The grey correlation analysis method is adopted on this basis, a sample to be evaluated is compared with standard samples of all electric energy quality level grades, and the comprehensive evaluation result of the electric energy quality can be objective and simple.

The standard specimen contains chemical elements with following weight ratios in pure aluminium Si: 1.03-13.70, Fe: 0.147-1.50, Cu: 0.125-7.44, Mn: 0.090-1.05, Mg: 0.049-1.53, Zn: 0.052-1.05, Ti: 0.034-0.274 etc. Since the Al-Sr modification is adopted, thus the specimen provides the features of even chemical elements, compact structure, free of bulky initializing coarse grains as well as raised processability. The long-playing diffusion fusion technique adopted makes silicon diffuse to aluminium adequetely so as to increase uniformity of chemical elements in the specimen evidently.

The invention provides a method for detecting volatile organic compound in a cigarette filter, which comprises the following steps: a) preparing a sample; b) preparing a matrix correcting agent; c) preparing an interior label solution; d) preparing a standard sample; e) preparing a standard working solution; f) performing detection by using headspace-gas chromatography/ mass-spectrography; and g) calculating a detection result of the volatile organic compound in the sample. The invention establishes the method for detecting the volatile organic compound residue in the cigarette filter for the first time. By using the saturation sodium chloride aqueous solution as the matrix correcting agent and the fluorobenzene as the interior label, the matrix effect of a solid absorption matrix (namely the cigarette filter) is efficiently reduced and the error caused by the poor repeatability of the pre-treatment and the low precision of instrument is reduced. In the whole process, no organic solvent is used. The method has the advantages of environmental friendliness, energy-saving and low consumption. The detecting method has few interference factors and good repeatability, is accurate in measuring result, is simple to operate, and can be used for obviously increasing the sensitivity of headspace analysis.

An infrared cut-off layer containing an ITO powder is formed on one surface of a base film, to form an infrared cut-off film. The ITO powder has a minimum value of a diffused-reflection-functional logarithm, logf(Rd), at a light wavelength of 470 nm or lower, which logarithm is measured on the basis of the following equation, f(Rd)=(1-Rd)2/2Rd=alpha/S (Rd: a relative reflectance to a standard sample, alpha: an absorption coefficient, S: a scattering coefficient, formulated for a diffused reflection light, and the minimum value of -0.1 or less. There is provided an infrared cut-off film having a hue of blue and sufficient transparency.

The measuring system generates a temperature difference between a heating terminal and a terminal conductive device by setting the temperature of a metal heated block at the heating terminal and the temperature of a heat dissipating water jacket at a heat dissipating terminal, and judges the thermal conductive capability of the thermal conductive device by comparing the cooling speed of the metal heating bock to obtain a relative power value according to the variation of heat quantity of the metal heated block in practical temperature reduction process. The maximum thermal conductive quantity (Qmax value) of the thermal conductive device can be rapidly obtained by parameter conversion with respect to the maximum power value. In the case of confirming the cooling curve (cooling speed) of a standard sample, the object of screening the thermal conductive efficiencies of the thermal conductive devices can be achieved by using the cooling curve.

The invention discloses a micro-indentation-based method for testing residual stress of a tiny area of a tough block material and belongs to the technical field of nondestructively testing the residual stress of the tiny area. The method comprises the following steps: performing micro-indentation experiment on a test sample block and a standard sample block to obtain a loading-unloading curve; according to the loading-unloading curve, obtaining parameters for calculating the residual stress under the combination of a dimensionless function; and analyzing the types of the residual stress according to the loading-unloading curve and calculating the residual stress by virtue of average contact pressure and a residual stress expression. The method is used for testing the residual stress of a tiny area of a tough block material.

The invention discloses a method for simultaneously measuring multiple residues of organic chloride and pyrethroid pesticides. The method comprises the following working procedures: crushing a tobacco sample until grain diameters are less than 450 mu m; adding 10 to 20ml of extracting solution and internal standard solution into every program of tobacco sample; extracting the mixed solution by using ultrasonic wave; filtering the mixed solution by using a funnel filled with anhydrous sodium sulfate to obtain the extracting solution; adding the extracting solution into a Florisil solid extraction column for extracting and eluting; collecting an eluent; analyzing the eluent by using a gas chromatograph, wherein the analysis comprises the following conditions: adopting an Elite 5MS capillary column, high-purity N2 as a carrier gas, a constant flow mode in which the flow rate is 0.5 to 1.5 ml/min, a sample inlet temperature of between 280 and 320 DEG C, a detector temperature of between 330 and 370 DEG C, splitless sampling in which the sampling volume is between 1 and 2 mu L, and an initial temperature of 100 DEG C which rises from 100 to 180 DEG C at a speed of 8 DEG C/min, is kept for 4 minutes, rises from 180 to 270 DEG C at the speed of 5 DEG C/min and is kept for 15 minutes until all sample flows out completely; and determining the nature of the sample by using the retaining time of a standard sample and quantifying by using an internal standard method. In the method, ultrasonic wave is adopted for extracting and a solid extraction column is adopted for purifying, so that the method has the advantages of operating step simplification, high work efficiency, good purification effect, capability of simultaneously measuring multiple residues of 25 kinds of pesticides including 17 organic chloride pesticides of hexachlorocyclohexane, DDT and the like, seven pyrethroid pesticides such as fenpropathrin and the like, and one plant growth regulator.

The invention discloses an oil reservoir inter-well connectivity determination method based on data driving, and the method comprises the steps of firstly collecting related parameters of an oil fieldblock, obtaining a filtering coefficient of each injection signal, carrying out the preprocessing of injection and production data, and correcting the time lag and attenuation of the injection and production data; performing normalization processing on the injection-production data to form a standard sample set of neural network learning and training; building a neural network, using a conjugategradient algorithm as a learning algorithm, and achieving the rapid optimization solution of neural network model parameters; and performing parameter sensitivity analysis based on the trained neuralnetwork model to obtain a connection coefficient for representing the inter-well connectivity of the oil reservoir. The method is simple and convenient, is high in calculation efficiency, is used forevaluating the dynamic connectivity between oil reservoir wells, has a better yield prediction effect while having the same inter-well connectivity coefficient calculation precision of a traditional inter-well connectivity judgment method, and can further guide formulation of optimization measures such as profile control and water plugging and intelligent oil field layered injection and productionhistory fitting and production optimization.

A mass analysis of a standard sample having a known mass-to-charge ratio is carried out by performing a mass scan at a first-stage quadrupole (13) over a predetermined mass range, under the condition that a collision induced dissociation (CID) gas is introduced into a collision cell (14) and a voltage applied to a third-stage quadrupole (17) is set so that no substantial mass separation occurs in this quadrupole. Various kinds of product ions originating from a precursor ion selected by the first-stage quadrupole (13) arrive at and are detected by a detector (18) without being mass separated. Accordingly, based on the detection data, a data processor (25) can obtain a relationship between the voltage applied to the first-stage quadrupole (13) and the mass-to-charge ratio of the selected ions, with a time delay in the collision cell (14) reflected in that relationship. This relationship is stored in a calibration data memory (26), to be utilized in a neutral loss scan measurement or the like. By using this relationship, a mass shift due to the time delay in the collision cell (14) can be cancelled, so that the product ions can be detected with high sensitivity over the entire mass range. Furthermore, a mass spectrum having an accurate mass axis can be created.

The invention discloses a detection system of the driving plates of a liquid crystal television and a liquid crystal display. In the invention, a signal generator generates various signals and inputs the signals to a card to be tested; the card to be tested is the driving plate of the liquid crystal television or the liquid crystal display; an image signal acquisition part acquires the LVDS original signals or VGA and DVI original signals of the card to be tested directly to obtain image signals of channels, a sound acquisition part acquires the original sound signals of the channels, a voltage and current analogue value acquisition part acquires an on-board voltage and a current signal to compare the on-board voltage and the current signal with various standard sample data prestored in system processing software of a PC host computer in terms of image, sound, voltage and current signal to generate a test report and a test result; and the test report and the test result are transmitted to a client production management system through a serial port or a network to instruct the client in production without any extra detection device, and thus, the detection cost is reduced greatly.

The invention discloses a quantitative determination method for activity of a nerve growth factor. The method comprises the following steps of: (1) washing TF-1 cells in a logarithmic phase by a basal culture medium that contains no serum and recombined human granulocyte-macrophage colony stimulating factors, and then resuspending the TF-1 cells to obtain TF-1cell suspension liquid; (2) respectively adding the TF-1cell suspension liquid into a gradient-diluted nerve growth factor standard sample and a sample to be tested, and incubating at 37 DEG C in presence of 5% of CO2; then respectively adding an indicating agent to detect the absorbance/fluorescence value and drawing a standard curve line; and (3) calculating the activity concentration of the nerve growth factor of the sample to be tested according to the standard curve line and the absorbance/fluorescence value of the sample. The quantitative determination method for activity of the nerve growth factor disclosed by the invention has good accuracy and precision.

The invention provides a thermal desorption-gas chromatography-mass spectrometry fingerprint analysis method of fragrance and flavor for tobacco, comprising the following steps: using the thermal desorption technique during pre-processing the fragrance and flavor for tobacco; using a gas chromatography-mass spectrometry to analyze; establishing a digital fingerprint of sample; judging the similarity of the sample and standard sample by the cosine and euclidean distance method. The thermal desorption technique greatly simplifies the pre-processing operation process and ensures the reliability and stability of the experiment result, and introduces the volatile components into the gas chromatography, in order to conquer the defect of the prior technique that: all the components dissolved in the extraction solvent are introduced into the gas chromatography and the pollution on the instrument is reduced and the service life of the instrument and chromatographic column is prolonged. The analysis method provides a reliable, stable, quick and new method for controlling the quality of the fragrance and flavor for tobacco.

The invention provides a preparation method of a freeze-dried powder standard sample of an animal-sourced substrate drug and a metabolite residue thereof. The method includes following steps: feeding experimental animals with drugs, wherein a drug feeding method is feeding, injecting or medicated bath with one or more drugs; controlling a feeding time; obtain a sample material containing raw drugs and/or metabolites through metabolism in animal bodies; adding a vitamin C solution; performing a mashing and homogenizing process to obtain meat paste; performing a vacuum freeze-drying process, a crushing and sieving process and a nitrogen-filling package process and a vacuum packaging process. In addition, a degreasing, repeated homogenizing and sieving process is included or not included according to fat content in an animal substrate. The standard sample can be transported at normal temperature and is long in preserving time. A situation of combination of a target object and the substrate is coincided with that of an actual detection sample. The standard sample can be used of quality controlling of relative detection and analysis, is homogeneous and stable, is convenient to transport, is reliable in use and has significant economic value and market competitiveness.

The invention relates to a visual detection system and method for a filter. The visual detection system comprises an image acquisition module, an image processing module, a detection module, a data management module and a signal control module, wherein the image acquisition module is used for photo sampling of a filter to be detected; the image processing module is used for performing white balance treatment on the filter photos; the detection module is used for selecting a qualified filter photo as a standard sample and comparing the standard sample with other filter photos to identify product defect types; the data management module is used for receiving, storing and displaying defect information, and meanwhile, generating a warning signal and a waste processing signal; the signal control module is used for input and output control of signals, signal filtering and denoising and/or abnormal signal interference screening. As a machine is adopted for detection, not only is the labor intensity of workers reduced, but also the detection speed and the detection precision are high, the detected products are reliable in quality, and quality management of cigarette material plants is greatly assisted.

The present invention relates to a constant gradient field nuclear magnetic resonance (NMR) rock sample analysis method and instrument. The method includes: in a constant gradient magnetic field, performing NMR measurement to acquire data; converting the measured NMR data into a two-dimensional NMR spectrum D-T₂; performing measurement and inversion on a standard sample of a constant gradient field to obtain a standard sample two-dimensional NMR spectrum D-T₂; measuring the sample to acquire a two-dimensional NMR spectrum D-T₂ of a fluid in the sample; identifying fluid types according to the practically measured two-dimensional NMR spectrum D-T₂; computing the fluid property and the petrophysical parameters according to the two-dimensional NMR spectrum D-T₂ of the fluid in the sample; performing single slice scanning on the sample to acquire partial oil and water saturation; performing continuous slice scanning to obtain axial oil and water saturation distribution and movable fluid saturation distribution of the sample.

The invention discloses an enzyme linked immunosorbent assay kit for combined diagnosis of the gastrosis or evaluation of gastric cancer risks and a preparation method thereof. The kit comprises a micropore plate coated with an antibody against a pepsin antigen I or an antibody against a pepsin antigen II, an enzyme labeled antibody, a color-developing agent, a stop solution and a concentrated cleaning solution, wherein the pepsin antigen I or the pepsin antigen II is a natural protein obtained from extraction of human gastric mucosa tissue. The kit disclosed by the invention adopts a mouse immunized with pepsinogen I and pepsinogen II which are separated from human gastric mucosa to prepare immunogen of a monoclonal antibody, the used standard sample also adopts the pepsin antigen I or the pepsin antigen II separated from the human gastric mucosa, thereby the defects caused by adopting different structures of animal pepsinogen and human pepsinogen are filled. The kit can be used for accurately diagnosing the gastrosis or early gastric cancer and has the advantages of high sensitivity, strong specificity, good accuracy and the like.