574results about How to "Realize quantitative analysis" patented technology

The invention discloses hot pepper and a determining method for 96 pesticide residues in a product of the hot pepper. The determining method comprises the following steps: homogenously extracting residual pesticide in a sample with 1% acetic acid-acetonitrile solution, purifying the extracting solution with a Florisil solid phase extraction column, dispersing and purifying the extracting solution with ethylenediamine-N-propyl silane (PSA) and octadecyl silane bonded phase (C18) substrate, detecting 69 pesticide residuals in the purified concentrated liquid of the Florisil column by GC-MS (gaschromatographic mass spectrometry), detecting 27 pesticide residuals in the substrate dispersed purified liquid by liquid chromatography-tandem mass spectrometry (LC-MS / MS), using the black substrate solution dilution standard to construct the updated calibration curves, adopting an internal standard method to quantify when using GC / MS to detect the residuals, and adopting an external standard method to quantify when using LC-MS / MS to detect the residuals. The average recovery rate of the method is 70.7-118.6%; the average relative standard deviation (RSD) is 3.2-11.4%; the detection limit is 0.13-28.2 ug / kg. The determining method has the advantages of simplicity and convenience in operation, high speed, accuracy, high sensitivity and good repeatability.

The invention discloses a sequencing sequence mapping method and sequencing sequence mapping system. The method comprises the steps that pretreatment is performed on a reference genome so as to generate a reference genome compression structure, an address index structure and a halving point index structure; the reference genome compression structure stores the whole reference genome in a compression mode, the address index structure address stores address values of all subsequences in the reference genome based on a certain sequence, and the halving point index structure is used for storing positions, where part of the address values exists, in the address index structure and used for achieving initial positioning of a sequencing sequence in an acceleration mode; based on the characteristics of the reference genome, the whole information of the sequencing sequence and the polymorphic occurrence conditions of a belonged specie of the sequencing sequence, an algorithm parameter is mapped according to probabilistic design so that the requirements for sensitivity, specificity and a mapping speed can be met or compromised. The structure is obtained through pretreatment, all sequencing sequences are mapped on the reference genome through subsequence positioning, prolongation based on the self-matching function and the step of quantitative analysis.

The invention discloses an LC-QToF-MS screening and analyzing method for pesticide residues in animal food. The method comprises the following steps of: (1) extraction: homogenizing an animal food sample, mixing the animal food sample with an extraction solvent to obtain extract via vibration extraction, and carrying out dehydration and centrifugation on the extract to obtain liquid supernatant; (2) purification: mixing the liquid supernatant with a purification agent to carrying out purification, collecting the liquid supernatant, and carrying out thinning and filtration in sequence to obtainto-be-tested sample solution a; and (3) gas chromatgraphy-mass spectrometry detection: for the to-be-tested sample solution a, separating pesticide residue by adoption of a reversed phase liquid chromatography method, screening and analyzing the pesticide residue by adoption of LC-QToF-MS with an ESI ion source, and carrying out quantification by adoption of an external standard method so as to obtain a pesticide residue content in the animal food. The method is simple to operate, high in sensitivity and good in reproducibility and can be widely applied to screening and analysis of multiple pesticides in animal food.

The invention relates to a qualitative and quantitative analysis method for polyoses, which comprises the following steps: (1) the zymohydrolysis and the verification of the polyoses: measuring the content of a polyoses water solution by a colorimetric method; (2) comparing the change of a polyoses mapping before and after zymohydrolysis by HPSEC-ELSD analysis; (3) saccharide ingredient direct HPLC analysis of a polyoses zymohydrolysis solution or HPLC analysis after pre-column derivatization: identifying polyoses mapping and chromatogram peaks by taking a standard monosaccharose, a uronic acid, a disaccharide, and the like as contrasts and taking a chromatogram peak mass-to-charge ratio as reference, and using stable characteristic sections as a quantitative analysis index; and (4) realizing the qualitative and quantitative analysis of the polyoses by establishing polyoses zymohydrolysis responding characteristics and polyoses zymohydrolysis mapping which are based on structural information through the independent or combining application of the steps. The qualitative and quantitative analysis method can be used for the identification and quantitative measurement of the polyoses of traditional Chinese medicine, such as panax, panax pseudoginseng, gen-seng, aweto, cordyceps, ganoderma lucidum, fomes japonica, milk veteh, angelica, and the like and provides an effective method for controlling the quality of the polyoses and the products thereof.

The invention discloses a gait analysis system and method. The gait analysis system comprises an intelligent terminal and two signal collection systems, and each signal collection system comprises a carrier, a pressure sensor, an acceleration sensor, an angular velocity sensor, an MCU and a battery. The MCUs are in wireless connection with the intelligent terminal through Bluetooth communication. The analysis method comprises the steps that firstly, collected pressure signals are filtered twice; secondly, initial grounding signal detection is conducted, an initial pressure threshold Th is obtained, then middle threshold detection is conducted, and finally a stand ending threshold is judged; thirdly, a rectangular Cartesian coordinate system is built; fourthly, the point location (x, y) of the center of a current pressure is solved; fifthly, a half sole varus-valgus coefficient and a heel varus-valgus coefficient are calculated; sixthly, the symmetry SI is judged; seventhly, the coefficient of variance CVt is judged; eighthly, in-toe gaits or out-toe gaits are judged; ninthly, the foot arch index AI is judged. By means of the system and method, gait information can be more comprehensively and accurately analyzed out.

The invention discloses a three-dimensional investigation method for a dangerous falling rock based on an air-borne laser radar. Original laser point cloud data and original video image data which cover an engineering zone and the initial exterior orientation elements of the original video image data are collected and processed to generate a DEM (Digital Elevation Model), a DOM (Digital Orthophoto Map) and a color laser point cloud. An index database is generated, the dangerous falling rock is recognized by information in the index database, the information factors of the dangerous falling rock are extracted to classify the hazard rate of the dangerous falling rock and provide a treatment strategy, and cross section lines required by a treatment design are extracted. The high-precision color laser point cloud, the high-precision DEM and the high-precision DOM are established by the advanced space-to-land observation technology based on the air-borne laser radar, the information extraction, quantitative analysis and risk evaluation of the dangerous falling rock are realized, and a novel method for surveying mountain hazards based on the air-borne laser radar technology is created.

The invention relates to functional nanometer particle composite non-crosslinking microsphere powder, and a preparation method and application of the functional nanometer particle composite non-crosslinking microsphere powder. The functional nanometer particle composite non-crosslinking microsphere powder contains functional nanometer particle composite non-crosslinking microspheres; the functional nanometer particle composite non-crosslinking microspheres contain functional nanometer particles and polymers, average particle size is 0.1micron to 20micron, and particle size distribution variable coefficient is less than or equal to 9.1%. The preparation method is a combination of a membrane emulsification technique and a solvent volatilization method. The invention also relates to a biometric probe and application of the biometric probe based on the above composite non-crosslinking microsphere powder. The preparation method has the advantages that the functional nanometer composite non-crosslinking microsphere powder which is uniform in particle size can be prepared; the prepared functional nanometer composite non-crosslinking microspheres belong to micron order, the particle size variable coefficient is small, monodispersity is good, and performance is excellent; and the prepared functional nanometer composite non-crosslinking microspheres have broad application prospect in biometric and biomedical fields and the like.

The invention relates to a method for optimizing medium and long term trans-regional trans-provincial deals and assessing the modes of the medium and long term trans-regional trans-provincial deals. The method for optimizing the medium and long term trans-regional trans-provincial deals and assessing the modes of the medium and long term trans-regional trans-provincial deals is characterized by comprising the steps of (1) building a network model, (2) setting an optimization scene according to the different modes, (3) setting optimization parameters, (4) building an optimization model, (5) carrying out optimization calculation, and (6) carrying out comparison, analysis and assessment. The method studies and tries the optimization and assessment of the medium and long term trans-regional trans-provincial deals under the actual power grid operation data, finds out a deal strategy with the priority of economical benefits or comprehensive benefits as a target based on simplification of a power grid model, and carries out optimization and assessment of the medium and long term trans-regional trans-provincial deals, thereby bringing certain guide significances on improving the economy, safety and standardability of a deal scheme. The method can relieve the power shortage situation through trans-regional trans-provincial deals when the power structures in electric energy areas are different, realizes optimized distribution of electricity in a larger range, compensates the shortage through the surplus among the areas, and effectively relieves the imbalance between supply and demand in the areas short of power supply.

The invention discloses a positioning error detection method and device, and relates to the technical field of computers. The main purpose is to accurately and intuitively reflect the positioning precision of a positioning system by calculating and displaying the precision of a TDOA value, in order to provide data basis for correcting the positioning precision of positioning equipment in the positioning system. The main technical scheme of the invention is as follows: obtaining an actual distance between a test point and a test base station; substituting the actual distance in a preset TDOA positioning algorithm to calculate a TDOA theoretical value between the test point and the test base station; obtaining a TDOA measured value between the test point and the test base station, which is actually measured by the positioning system; and calculating and outputting a difference value of the TDOA theoretical value and the TDOA measured value to obtain a TDOA error value. The positioning error detection method and device disclosed by the invention is mainly used for quantitatively calculating the TDOA error value.

The invention relates to a method for detecting oligosaccharides in breast milk. The method includes a step of breast milk sample pretreatment, namely taking a breast milk sample, centrifugally removing upper fat, taking lower liquid, adding alcohol solvent, freezing for 5-15min at a temperature ranging from -40 DEG C to -100 DEG C, centrifuging and taking supernatant. The invention further provides a method for qualitative and quantitative detection of oligosaccharides in the pretreated breast milk according to a liquid chromatography-mass spectrometry method. The method for simultaneous detection of various oligosaccharides in non-reducing breast milk by liquid chromatography-mass spectrometry is established and has advantages of effectiveness, quickness and simplicity in pretreatment. AQ Exactive detector is adopted for mass spectrometry, liquid-phase gradient elution parameters and mass spectrometric detection parameters are determined, ion information of non-reducing breast milkoligosaccharides in mass spectrometric detection under a positive ion mode is given, and the method can be well applied to qualitative and quantitative detection of the oligosaccharides in the breastmilk.

The invention relates to the image processing field, in particular to a crowd density monitoring method and a device. The crowd density monitoring method comprises the following step: monitoring feature points of source images, and extracting the feature points of current frame images; tracking the positions of the feature points by taking advantage of an optical flow method, and acquiring the tracking feature points of the next frame image; calculating the distances from the current frame feature points to the next frame image feature points, and deleting the feature points which correspondent to a first threshold which the distances are smaller than the preset distances; so that the corresponding relationship between the quantities of feature points and the actual number of people are attained based on counting the quantities of feature points and the actual number of people, and the crowd density corresponding to the tracking feature points are attained. By using the crowd density monitoring method and the device, the crowd can be analyzed in a quantified mode, and the crowd density monitoring can be accomplished.

The invention discloses a spectral method-based multi-component gas concentration analysis method. The spectral method-based multi-component gas concentration analysis method comprises the following steps: determining a background gas absorption response spectrum in a wide spectrum range; determining a standard sample absorption response spectrum in the wide spectrum range; determining an absorption response spectrum of to-be-detected mixed gas in a standard sample; determining the concentration value of each component in the to-be-detected mixed gas in the standard sample. Background automatic calculation of an absorption spectrum signal is realized according to an asymmetric reweighted penalty function lease square method; the problem of water vapor and component anti-interference erroris solved by using a differential type anti-interference wavelength selection algorithm, and the real-time on-line analysis requirement of a high-sensitivity and anti-interference spectral analysis device is met.

The invention relates to a method for measuring the content of sulfur in coal by utilizing energy chromatic dispersion X-ray fluorescence analysis, and mainly solves the problem that the sensitivity and the efficiency for detecting a sulfur element in the coal are low in the prior art. The method comprises the following steps of firstly pre-treating a coal sample, and preparing a standard sample and a test sample; measuring a barium element in the test sample by utilizing an energy chromatic dispersion X-ray fluorescence analyzer, detecting the fluorescent number of the barium element, and substituting the detected fluorescent number of the barium element in a calibration curve to obtain the percentage composition of the barium element in the test sample; and calculating the percentage composition of the sulfur element in the coal sample according to a chemical number relation between the sulfur and barium in the sample. The measurement of the sulfur content in the coal is realized by adopting an indirect measuring method. The method has characteristics of rapidness in measurement and easiness in operation.

The invention discloses a torsional vibration optimization method for a planetary series-parallel hybrid power system, and aims to solve the problem of complex torsional vibration of a planetary series-parallel hybrid passenger car caused by increase of a power source and change of a working mode and a working mode of a planetary gear mechanism. The method comprises: establishing a centralized mass model of a transmission component through the D'alembert principle and the Lagrangian equation, a matrix equation of the whole vehicle is further determined, and the modal shape of each mode is determined based on the inherent frequency; utilizing a modal participation factor theory to research the main participation modal of forced vibration of the component; based on parameter sensitivity analysis, determining an influence rule of parameter change on the inherent frequency and the resonance peak value. With the optimization of the inherent frequency of the transmission system and the reduction of a resonance peak value as evaluation criteria, the torsional vibration optimization design of the transmission system is realized. The complex torsional vibration analysis optimization methodfor the planetary series-parallel type passenger car structure is systematically provided, and a powerful theoretical basis is provided for researching complex torsional vibration characteristics of the planetary series-parallel type passenger car.

The invention relates to a convergence chromatography analytical method for residue of herbicides in tobacco and particularly relates to a method for detecting herbicides such as napropamide, alachlor, quizalofop-p-ethyl, diphenamid, metolachlor and clomazone in tobacco by virtue of a UPC<2>. The convergence chromatography analytical method comprises the following steps: firstly, carrying out extraction and primary decontamination on the herbicides contained in tobacco by virtue of a QuRChERS method; secondly, carrying out solid phase extraction purification on an extracting solution by virtue of a Florisil column so as to further reduce the interference of matrixes to a to-be-detected target; thirdly, detecting the herbicides by virtue of an ultra-performance convergence chromatographic instrument, and carrying out quantitative analysis by virtue of an external standard method. According to the convergence chromatography analytical method, all target substances can be analyzed within five minutes by virtue of the ultra-performance convergence chromatographic instrument, and the dosage of an organic solvent is extremely low in the analysis process; the convergence chromatography analytical method has the advantages of high efficiency, sensitivity and environment friendliness.

The invention discloses a modeling method for the dual-driving synchronous electromechanical coupling characteristic of a walking beam type gantry machine tool and solves the problems that the mechanical characteristics of a coupling part of the walking beam type gantry machine tool are decoupled and modeled. The modeling method is characterized in that the factor that the load of the gantry machine tool moves on a cross beam is considered and the problems that the speed of the dual-driving two-shaft coupling part is decoupled with force can be solved. According to the modeling method disclosed by the invention, the actual conditions of the mechanical characteristics for the dual-driving two shafts during synchronous movement can be accurately reflected and main factors for influencing the asynchronous error of two shafts can be disclosed; and the modeling method provides theoretical basis for measures for reducing the dual-driving asynchronous error.

The invention discloses a GC-Orbitrap-MS screening and analyzing method for pesticide residues in animal-derived food. The method comprises the following steps: (1) extraction: homogenizing an animal-derived food sample, mixing the homogenized animal-derived food sample with an extraction solvent and an extraction salt, carrying out oscillation extraction to obtain an extraction solution, and taking a supernatant I; (2) purification: mixing the supernatant I obtained in the step (1) with a purifying agent for purification, collecting a supernatant II, and filtering to obtain a to-be-detected liquid sample; (3) chromatography-mass spectrometry detection: separating pesticide residues in the to-be-detected sample solution by adopting gas chromatography, and then detecting by adopting Orbitrap-MS with an EI ion source so as to obtain the content of the pesticide residues in the animal-derived food. The method disclosed by the invention has the characteristics of high recovery rate, good precision, strong applicability, small organic reagent dosage and the like; various technical indexes can meet the requirements of daily detection and analysis of various animal-derived foods, and important technical support is provided for the field of food safety.

The invention discloses a method for constructing a double stem loop structure DNA template to detect nucleic acid based on a ligation reaction. The method includes the steps that ligase is used for connecting a probe containing a stem-loop structure and complemented with nucleic acid to be detected to form a double-stem-loop structure DNA template, the template can guide fast and efficient loop-mediated isothermal amplification reaction to achieve high-sensitivity nucleic acid detection, and meanwhile the method can specifically distinguish nucleic acid with single-base difference. It is provided for the first time that double stem loop structure DNA is constructed through the high-specificity ligation reaction, the specificity template is provided for the loop-mediated isothermal amplification reaction in the next step, fluorescence labeling is not needed in the method, cost is low, the precise heat cycle process in the PCR process is avoided, and fast amplification of the nucleic acid to be detected can be realized at constant temperature. The method can be used for quantitative analysis, methylation detection, SNP detection and the like on RNA or DNA and provides a new strategy for high-sensitivity nucleic acid analysis, early cancer diagnosis and other researches.

The invention discloses an optical element surface defect detection method based on deep learning. The method comprises the following steps: 1) obtaining and preprocessing an optical element surface defect image; and 2) inputting the preprocessed defect image into a pre-trained defect detection model to carry out intelligent identification on the surface defects of the optical element. In the image preprocessing step, distortion correction is carried out on a collected image, and the image is processed by adopting a gradient image adaptive threshold segmentation method, an edge detection method, binarization processing and breakpoint connection algorithm fusion mode. The defect detection model is a multi-layer neural network model composed of a convolution layer, a pooling layer, a full connection layer and the like. Compared with the prior art, the method has the advantages that the problems of subjective interference, difficulty in accurate quantification and the like caused by manual visual detection are solved, and the problems of low accuracy, high omission factor and the like of an imaging detection method in a defect recognition process are solved.

The invention discloses a multi-constituents gas thickness quantitative analysis method based on sound-optical adjustable filter near infrared light spectroscope. It installs a gas room to contain tested gas on the near infrared light spectroscope that connects to computer. The tested gas is loaded into the gas room where the reflector installed and connecting to liquid probe feeler arm. The near infrared light from the spectroscope would irradiate into gas room through incident fiber and reflected by the reflector to the test window of the liquid feeler arm and returning to the spectroscope through emergent fiber. Modeling software is installed in computer that would process the data output by the spectroscope and output the thickness value of the constituents in the gas. The invention could be used in solid, liquid test, and even gas.

The invention provides a method and system for detecting a distribution room low-voltage fault type of a distribution transformer. The method includes the steps of building a mathematical model of a distribution transformer with a distribution room low-voltage fault and a mathematical model of a line, calculating secondary side no-load voltage of the distribution transformer according to the mathematical model of the distribution transformer, determining a first influence value of primary side voltage of the distribution transformer on distribution room low voltage, calculating voltage drop of the distribution transformer according to the mathematical model of the distribution transformer, calculating the difference value of the voltage drop of the distribution transformer and short-circuited voltage of the distribution transformer, obtaining a second influence value of the voltage drop of the distribution transformer on the distribution room low voltage, calculating voltage drop of the line according to the mathematical model of the line, calculating the difference value of the voltage drop of the line and an upper limit value of the voltage drop of the line, obtaining a third influence value of the voltage drop of the line on the distribution room low voltage, and determining the distribution room low-voltage fault type of the distribution transformer according to the first influence value, the second influence value and the third influence value. Detection accuracy of the distribution room low-voltage fault type is improved by means of the method and system.

The invention discloses a method for quantitative analysis of comprehensive testing coverage of system structures, functions and performance, comprising the following steps: 1, establishing parameters of the structure, functions, performance of the system and testing basic information; 2, establishing direct incidence relation;3, quantitatively calculating testing coverage; and 4, analyzing defects of testing design. The invention realizes quantitative analysis of testing coverage and obtains the tested coverage rate of the performance parameter, functional coverage rate and structural coverage rate by establishing the system structure, functions, performance parameters, testing integration and each direct incidence relation integration among the structure, the functions and the performance parameters and the test.

The invention discloses a quantitative determination method for crystal forms of hexanitrohexaazaisowurtzitane. The quantitative determination method comprises the following steps: classifying the calculation results according to a main ingredient analysis method, selecting an analysis area, establishing the equation of change parameters to the content of two crystal forms to obtain a standard curve, performing raman test on the constant content of other alpha-, beta- and gama- crystal forms in the prepared epsilon-CL-20 by taking the standard curve as standard, and performing the quantitative content determination experiment reference to the established standard curve. Compared with the existing determination method, the raman spectroscopy in the field of evidence identification of recent years is introduced in the field of explosive detection, the study proves that the CL-20 spectrogram difference of the four crystal forms is obvious in the raman spectroscopy detection, the characteristic peak strength is changed along with the proportional mixing of different crystal forms, finally the standard proportion curve of different crystal form mixture can be obtained, and the quantitative content analysis for different Cl-20 crystal forms can be realized by utilizing the established standard curve.

An integrated biochemical sensor based on rib optical waveguide comprises an MZI (Mach-Zehnder interferometer) detection chip, an optical fiber support, a plurality of polymer cavities and a micro-channel system which are machined on the same SOI (silicon on insulator) silicon wafer as well as photoelectric detector and a detection circuit which are arranged in the polymer cavities. The MZI detection chip comprises the rib optical waveguide, a medium groove, a sample pool, a medium groove beam splitter and a medium groove beam combiner. Optical fiber is coupled with the rib optical waveguide, and the rib optical waveguide is coupled to the photoelectrical detector and the detection circuit. Light transmitted by an input end of the rib optical waveguide is split into two branch light beams by the medium groove beam splitter, the two branch light beams are transmitted along two waveguide arms respectively, one waveguide arm is coupled to the sample pool, the light beam of the waveguide arm is subjected to phase modulation by a sample in the sample pool, the two light beams are combined into an output light beam by the medium groove beam combiner, the photoelectric detector and the detection circuit detect change of light intensity and convert the output light beam into an electrical signal, and the sample in the sample pool is detected. The sensor is easy to machine, compact in structure, high in sensitivity and low in cost.

The invention discloses a method for dividing petrophysical facies of a tight sand reservoir based on the grey theory. The method comprises the following steps: step a, building classified evaluation standards for petrophysical facies of block objective intervals; step b, according to the grey theory and the evaluation indexes of the petrophysical facies built in the step a, determining the types of the tight sand reservoir rocks to be processed; step c, according to the types determined in the step b, building a tight gas reservoir parameter model, and acquiring parameters of the tight gas reservoir according to the at least one petrophysical face corresponding to the determined types. Therefore, the method provided by the invention can better evaluate parameters of the tight gas reservoir.

The invention belongs to the technical field of network security, and particularly relates to a moving target defense decision selection method, device and system based on a Markov time game, and themethod comprises the steps: building a moving target attack and defense strategy set; analyzing a moving target defense process based on the Markov time game, and constructing a Markov time game moving target defense model; and carrying out equilibrium solution on the Markov time game moving target defense model, and determining an optimal strategy in the confrontation process of the Markov time game moving target defense model. On the basis of analyzing a moving target attack and defense process, a Markov time game model is constructed, a target criterion function of a moving target defense game is designed based on discount total revenue, and multi-stage attack and defense game quantitative analysis is realized; designing a multi-stage optimal defense strategy selection algorithm based on nonlinear programming multi-stage game equilibrium calculation; further, experimental research results show that the confrontation process can be effectively described, the optimal strategy can be correctly selected, the implementation accuracy of moving target defense can be ensured, and network security management personnel can be helped to make a better decision.

The invention relates to a method for determining content of sterol and / or derivatives thereof by utilizing a quantitative nuclear magnetic resonance technology. The method comprises the following steps: adopting a nuclear magnetic resonance internal standard method, selecting a specific quantitative peak of sterol and / or derivatives thereof, and accurately determining (total) content of the sterol and / or derivatives thereof. The method provided by the invention has the advantage that extracts of animals, plants and / or microorganisms, food, medicines or the content of sterol and / or derivatives thereof in cosmetics can be accurately determined.

The invention discloses a method for detecting mechanical response of mechanical components by using an organic mechanoluminescent material. The method includes the following steps: selecting an organic mechanoluminescent material, preparing an organic mechanoluminescent material solution; uniformly coating the surface of a metal sample with the organic mechanoluminescent material solution, and heating the metal sample to form a film; calibrating the fluorescence intensity, using ultraviolet light as an excitation light source to illuminate the organic mechanoluminescent material film on the surface of a gauge section of the metal tensile sample, collecting fluorescence intensity data of the organic mechanoluminescent material film by using a detection device, and establishing correlationdata between the fluorescence intensity and stress / strain intensity; actually detecting the mechanical components, comparing the detection data with fluorescence intensity sample data and analyzing the detection data, and determining magnitude and distribution of stress / strain received by the components based on the fluorescence intensity; monitoring whether a fatigue crack occurs at a to-be-detected position by observing a fluorescent bright line generated by the organic mechanoluminescent material at the crack; and predicting the direction of crack propagation by using the fluorescence intensity distribution near the crack tip.

The invention provides a method for performing nuclear magnetic resonance identification on adulterated non-dairy cream in watery cream. The method comprises the following steps: (1) collecting creamsamples and performing plausibility check on the samples; (2) preparing adulterated cream samples by performing plausibility check on the cream samples and collecting 1H-NMR of the samples; (3) establishing a PLS-DA qualitative model and a PCA-SVM regression quantitative analysis model by adopting 1H-NMR data subjected to data processing; (4) collecting 1H-NMR data of the cream samples with unknown adulteration or not, and performing detection by the established qualitative and quantitative models so as to obtain the identification of the unknown cream samples. According to the method, the accuracy of the modeling sample is guaranteed, the condition that the non-dairy cream is adulterated in the watery cream can be detected rapidly, qualitatively and quantitatively, the technology is reliable, the operation is simple and convenient, the adopted model is high in calculation speed and accurate in identification result, and technological support is provided for quality supervision of baking products such as cream cakes.

The invention provides an acupuncture and acupoint effect quantifying analysis system. In the acupuncture and acupoint effect quantifying analysis system, an expert acupuncture detection unit is formed by an acupuncture parameter measuring instrument, an acupuncture acupoint effect detection unit consists of a temperature sensor, a blood flow sensor and an electromyogrphic sensor, and an acupuncture quantifying mechanical hand forms a closed-loop control structure by an embedded controller, a servo driver, a mechanical acupuncture hand and a feedback detection unit. An expert acupuncture-acupoint effect database is established on the basis of traditional Chinese medicinal acupuncture experts, a control program of the acupuncture quantifying mechanical hand is written on the basis of the database, and through control of the mechanical acupuncture hand and detection on an acupuncture acupoint effect, acupuncture quantification and acupoint effect quantification are achieved. The invention has the beneficial effects as follows: the acupuncture and acupoint effect quantifying analysis system achieves combination of quantitative acupuncture simulation and acupuncture acupoint effect detection, and a novel experimental instrument is provided for researching the compatibility of traditional Chinese medicinal acupuncture acupoints, the specificity of acupuncture and quantification thereof, the specificity of the acupoint effect and quantification thereof and other aspects.