392 results about "Control sample" patented technology

The invention relates to a method for constructing HPLC (High Performance Liquid Chromatography) contents of multi-index components of a reference sample of traditional Chinese medicine powder, which comprises the following steps: step 1, preparation of a reference sample of Kaixin powder: taking polygala tenuifolia, ginseng, poria cocos and rhizoma acori graminei, and crushing into fine powder; 2, preparing a Kaixin powder reference sample and a reference substance detection solution; 3, detecting the Kaixin powder reference sample and the reference substance detection liquid by adopting an HPLC (High Performance Liquid Chromatography) instrument to obtain a chromatogram; and step 4, calculating the content of the effective components in the Kaixin powder reference sample according to the chromatogram. Wherein in the step 3, an HPLC (High Performance Liquid Chromatography) instrument is adopted for detection, and a chromatogram is obtained; comprising the following steps: step A, detecting the contents of polygala # imgabs0 # ketone III, 3, 6 '-dimustard acyl sucrose and beta-asarone in rhizoma acori graminei in polygala tenuifolia; step B, detecting the contents of ginsenoside Rg1, ginsenoside Re and ginsenoside Rb1 in the ginseng; and step C, detecting the content of tenuifolin in the polygala tenuifolia.

The invention discloses real-time monitoring sampling equipment for water environment ecological restoration and a sampling method thereof, and relates to the technical field of water environment sampling equipment.The real-time monitoring sampling equipment comprises a main shaft rod, a real-time data display screen arranged at the top of the main shaft rod, a ground insert fixed to the bottom of the main shaft rod and a floating plate arranged on the main shaft rod in a sleeving mode; the buoyancy driving structure is arranged on the main shaft rod in a sleeving manner and controls sampling state randomness based on rising of the floating plate; the random sampling structure is driven by a transmission assembly in the buoyancy driving structure to rotate for random sampling; the sensing detection assembly is in contact with a water sample to transmit water quality data; the buoyancy driving structure comprises a lifting plate fixed to the bottom of the floating plate, and a driving groove is formed in the lifting plate. By means of the water environment sampling device, the problem that the sampling range is limited to a certain extent due to the fact that most of layered water body sampling areas are fixed sampling positions and other water samples at the same water level cannot be sampled in water environment sampling equipment is solved.

The invention relates to the field of modified milk, in particular to pasteurized modified milk with a lead ion emission reduction function and application of the pasteurized modified milk. The pasteurized modified milk provided by the invention contains lactobacillus mucus fermentation B44, wherein the preservation number of the lactobacillus mucus fermentation B44 is CGMCC (China General Microbiological Culture Collection Center) No.17321. Compared with a control sample and other strains, the lactobacillus mucilaginosus B44 in the pasteurized modified milk provided by the invention can remarkably reduce the lead content in intestinal content supernatant, and results of in-vivo experiments of rats show that the lactobacillus mucilaginosus B44 can remarkably reduce the blood lead concentration, the lead content in livers and the lead content in kidneys of drinking objects, so that the lactobacillus mucilaginosus B44 can be used for preparing the pasteurized modified milk. The discharge of lead in excrement can be increased, and liver oxidative damage caused by lead poisoning can be effectively relieved, so that the method can be applied to research on in-vivo emission reduction of lead.

The invention provides an article adulteration detection method and system based on stable isotope and electronic equipment, and relates to the technical field of food analysis and detection.The method comprises the steps that a target sample and a control sample of an article to be detected are obtained, and article quality pretreatment is conducted on the target sample and the control sample; carrying out doped sample merging on the target sample and the contrast sample after article quality pretreatment to obtain a doped sample to be detected; wherein the doping sample combination type comprises combination of the same total amount and different proportions and combination of the same proportion and different total amount; performing identification pretreatment on the to-be-detected doped samples, and performing isotope determination on the to-be-detected doped samples subjected to identification pretreatment to obtain various isotope values of specified types corresponding to different to-be-detected doped samples; and performing principal component analysis and / or clustering analysis on the various isotope values of the specified type based on the doping sample combination type to obtain an article adulteration result. According to the invention, the accuracy of article adulteration detection is improved.

The invention discloses a method for evaluating cigarette product quality stability based on a multi-dimensional space chemical fingerprint spectrum, and relates to the field of cigarette quality evaluation.The method comprises the following steps that near-infrared diffuse reflection spectrum data of a sample is collected, optimization processing is conducted, and a model is established; establishing a near-infrared correction model by taking a control sample; the method comprises the following steps: collecting gas chromatography fingerprint data, carrying out optimization treatment to establish a model, calculating the dispersion degree of a collected sample and a control sample through a mahalanobis distance, respectively calculating the distribution condition of each type of samples, and evaluating the stability; introducing the collected sample into a contrast model for calculation, determining indexes of the selected cigarette sample, calculating the average content and relative standard deviation of conventional indexes in the sample and the contrast sample, and comparing the similarities of various indexes in the sample and the contrast sample; the method comprises the following steps: collecting sample fingerprints, retrieving the fingerprints through a computer spectrum library, calculating the relative content of each peak, detecting the inherent volatile components of each type of samples, and calculating the deviation.

The invention discloses a triaxial acoustic emission test device and method for multi-field coupling rock microbial grouting. The triaxial acoustic emission test device comprises a core triaxial pressure chamber, a freezing and thawing temperature control system, a water pressure control system, an axial loading system, an acoustic emission detection system, a microbial grouting repair device and an assembly data acquisition and control system, the test sample temperature is controlled through the freeze-thaw temperature control system, the pore water pressure is applied through the water pressure control system, the mechanical load is applied through the axial loading system, the damage signal of the test sample is monitored in real time through the acoustic emission system, the test sample is prepared through the microorganism grouting repair device, and the assembly data acquisition and control system performs integrated control and synchronous data acquisition. The test method comprises the following steps: preparing and installing a microbial remediation rock sample, applying freeze-thaw cycle, pore water pressure and axial load in sequence or in a coupling manner, monitoring the whole process by using an acoustic emission technology, and finally comprehensively analyzing a damage evolution rule and a performance degradation mechanism of the sample under the action of multi-field coupling. The device can simulate a complex environment and evaluate the microbial grouting repair effect.

The invention provides a method for detecting the content of N-methyl pyrrolidone in a battery pole piece, which comprises the following steps: carrying out first crushing treatment on the battery pole piece to obtain a first crushed material, putting the first crushed material and a solvent into a headspace bottle, and sealing to obtain a sample to be detected; baking the battery pole piece at the temperature not lower than 200 DEG C for more than 24 hours, and carrying out second crushing treatment to obtain a second crushed material; preparing a standard solution containing N-methyl pyrrolidone and a solvent, filling the second crushed material and the standard solution into a headspace bottle, and sealing to obtain a control sample; testing the control sample and the sample to be detected by headspace-gas chromatography, obtaining a standard curve by an external standard method, obtaining the mass content of the N-methyl pyrrolidone in the sample to be detected according to the standard curve, and further calculating to obtain the content of the N-methyl pyrrolidone in the battery pole piece. According to the method, extraction and filtration are not needed in the testing process, the testing steps are simplified, the detection time is shortened, and the detection efficiency can be effectively improved.

The invention provides a quality control sample for determining impurity elements in silver and a preparation method of the quality control sample, and belongs to the technical field of chemical quality control sample preparation. According to the method disclosed by the invention, the stable and qualified quality control sample for determining the impurity elements in the silver is produced by controlling the element transfer sequence and a sectional preparation method. Wherein the coexistence of impurity elements in the solution is ensured by controlling the element transfer sequence and a sectional preparation method. The quality control sample for determining impurity elements in silver contains 15 elements (Bi, Cd, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Pd, Sb, Se, Sn, Te and Zn) and covers all necessary detection elements of a silver ingot product, coexistence conditions of different elements are fully considered in the preparation process, the accuracy of the sample quantity value is ensured, the detection requirements of national standards and industrial standards are met, and the quality control sample has the advantages that the quality control sample can be used for detecting the impurity elements in the silver ingot product. And the method is suitable for analyzing pure silver components in silver batch products.

The invention relates to a method for automatic defect classification of a sample in scanning acoustic microscopy, a software program product and a scanning acoustic microscope. In the method according to the invention, a sample is scanned with a scanning acoustic microscope, in which a time sequence of recorded reflected and / or emitted ultrasound signals is digitized and analyzed, in particular classified, for defects by means of at least one neural network, the neural network is previously unsupervised trained in initial training by a deep learning algorithm with the aid of a scanning acoustic microscope scan of one or more control samples of the same type as the sample or with known and marked defects.

The invention provides a GFRP core rod aging evaluation method and device, and belongs to the field of aging evaluation. The method comprises the following steps: acquiring the DMT modulus of the end surface of a sample to be detected and the DMT modulus of the end surface of a contrast sample; the batch of the contrast GFRP core rod is the same as that of the GFRP core rod to be detected; according to the DMT modulus of the to-be-detected sample, determining the characteristic thickness of the to-be-detected sample, and recording the characteristic thickness as a first thickness; determining the characteristic thickness of the control sample according to the DMT modulus of the control sample, and recording the characteristic thickness as a second thickness; calculating the ratio of the first thickness to the second thickness, and determining the aging degree of the to-be-detected sample according to the ratio. According to the method, the interface characteristic thickness of the two materials in the sample is determined based on the DMT modulus distribution, aging evaluation is performed on the sample by taking the unused sample as a contrast, the calculation process is simple, and evaluation is accurate.

The invention discloses a high-flux and rapid chromatin immunoprecipitation sequencing method based on a HiBiT tag and a Tn5 enzyme, and belongs to the technical field of biology. According to the method, the high affinity characteristic of a HiBiT tag system is combined with a Tn5 enzyme in-situ library building technology, firstly, a DNA binding protein recombinant expression strain containing a HiBiT tag is constructed and subjected to induced expression, after formaldehyde crosslinking and cell lysis, an Anti-HiBiT antibody is used for rapid immunoprecipitation, and a Tn5 enzyme library is constructed; tn5 transposase is directly loaded on the magnetic beads combined with the protein and DNA fragment compound to complete fragmentation and linker connection, so that the construction of a next-generation sequencing library is quickly carried out, and the total consumed time from immunoprecipitation to the completion of library construction is less than or equal to 5 hours. Meanwhile, automatic treatment is realized through a micro experiment board (the reaction system is less than or equal to 200 microliters) and a liquid workstation, the experiment cost and the sample dosage are reduced, 48 transcription factors and 48 control samples can be synchronously treated, the efficiency is greatly improved, and an efficient tool is provided for microbial transcription regulation and control research.

The invention discloses a microsatellite instability detection method and device based on a next-generation sequencing technology, and belongs to the technical field of biological detection. The method comprises the following steps: selecting MSI sites, and carrying out capture probe design and / or amplicon primer design based on any combination of the sites; selecting a plurality of samples, and calculating the missing fragment proportion and the normal fragment proportion of each sample at each MSI site; selecting a plurality of samples which are judged to be in an MSI-L or MSS state by a PCR method as baseline samples, and setting different depth levels for each baseline sample to construct a baseline; carrying out MSI state detection; selecting a sample of which the MSI state is MSI-H, and judging whether the sample is an abnormal sample or not through a Spearman rank correlation coefficient; and if yes, adjusting the base line and re-judging the MSI state. The method has high stability and high accuracy, does not need a control sample, and can be simultaneously applied to microsatellite instability detection of hybridization capture and amplicon sequencing data.

The present disclosure relates to the field of chemical analysis technology, and specifically discloses methods and systems for analyzing and calculating aggregation of analytes in a chemical compound. The analysis method includes: acquiring a chemical image of analytes in a control sample and a chemical image of the analytes in at least one test sample, performing Gaussian blur on each of the chemical images, and performing brightness calibration on the obtained Gaussian blurred image; converting the brightness calibrated Gaussian blurred image into a binary image; converting the binary image into one-dimensional array; calculating a continuous length of predetermined pixels in a one-dimensional array and a frequency corresponding to each continuous length, and generating a histogram of frequency and continuous length; fitting the histogram with an exponential Gaussian distribution function to obtain an exponential attenuation parameter of the fitted exponential Gaussian distribution function; calculating an aggregation index of the test sample according to the exponential attenuation parameters corresponding to the test sample and the control sample. This technical solution can quantitatively determine the aggregation of analytes.

Techniques are provided for generating an array-specific range of Tm values to be used for calling a sample in a given array positive or negative for a target nucleic acid sequence. A sample well in an array is provided with a control sample containing a control nucleic acid sequence. The control sample is amplified by thermal cycling the sample well. A Tm value for the control sample is identified and compared to an expected Tm value for the control nucleic acid sequence to calculate a relationship between the identified control Tm value and the expected control Tm value. By applying this relationship to an expected Tm value for a target nucleic acid sequence, an array-specific range of Tm values for the target nucleic acid sequence is generated and can be used for calling an experimental sample in the same array positive or negative for the target nucleic acid sequence.

The utility model discloses an absorption system for silane gas metal impurity analysis. The absorption system comprises an impurity analysis pipeline, a sample tail gas emptying pipeline, a sample gas absorption device, a blank sample analysis pipeline, a purging tail gas emptying pipeline, a blank sample absorption device, a sample injection pipeline, a first purging gas inlet pipeline and a second purging gas inlet pipeline, the sample gas absorption device is connected with the gas outlet end of the impurity analysis pipeline and the gas inlet end of the sample tail gas emptying pipeline; the blank sample absorption device is connected with the gas outlet end of the blank sample analysis pipeline and the gas inlet end of the purging tail gas emptying pipeline; the gas outlet end of the sample injection pipeline and the gas outlet end of the first purge gas inlet pipeline are connected in parallel to the gas inlet end of the impurity analysis pipeline; and the gas outlet end of the second purge gas inlet pipeline is connected to the gas inlet end of the blank sample analysis pipeline. According to the utility model, a sample for silane gas metal impurity analysis and a blank control sample can be simultaneously obtained.

The invention relates to a new crown growing typing method and device, a molecular subtype and clinical variable association method and device and electronic equipment, and relates to the technical field of new crown growing typing. The typing method comprises the following steps: acquiring a gene expression matrix of a to-be-detected sample; and processing the gene expression matrix of a to-be-detected sample by adopting the new crown growing typing model to obtain a typing result of the to-be-detected sample. The association method comprises the following steps: acquiring a gene expression matrix and a typing result of an experimental sample and a gene expression matrix of a control sample; respectively carrying out differential gene analysis on the experimental samples of each molecular subtype and a control sample to obtain significant differential genes; performing functional pathway enrichment analysis, and calculating a gene set expression average value of the functional pathways with significant difference; and carrying out correlation analysis after normalizing the gene set expression average value and clinical variable data to obtain clinical variables associated with each molecular subtype.

The invention discloses a determination method of an Ajowan fruit fingerprint spectrum and the fingerprint spectrum thereof, and relates to the technical field of fingerprint spectrums of medicinal materials. The method comprises the following steps: taking rutin, caffeic acid, rosmarinic acid and p-coumaric acid as reference substances, dissolving the reference substances in a solvent, and fixing the volume to obtain a reference substance solution; the method comprises the following steps: taking different batches of ajowan fruit medicinal materials as test products, adding a solvent into the test products, extracting, filtering, and taking subsequent filtrate to obtain a test product solution; respectively injecting the reference substance solution and the test solution into a liquid chromatograph by utilizing a high performance liquid chromatography, recording a chromatogram, and constructing the fingerprint spectrum of the Ajowan fruit according to the chromatogram; and determining the component content of the test solution through an external standard method according to the chromatogram. According to the method, the quality of the ajowan fruit medicinal material is controlled by adopting a method of combining chemical component content determination and a fingerprint spectrum, so that the effective and comprehensive control on the ajowan fruit medicinal material is realized, and a basis is provided for the quality control standard of the ajowan fruit medicinal material.

The invention discloses a method for detecting anions in a phlegm-heat-clearing injection, the detection method comprises the following steps: a test solution and a reference solution are taken for detection, the phlegm-heat-clearing injection is composed of scutellaria baicalensis, bear gall powder, cornu gorais, honeysuckle, fructus forsythiae and propylene glycol; chromatographic conditions of the detection are as follows: an anion exchange chromatographic column is adopted, an eluent is an acid aqueous solution, an alkali aqueous solution and / or a buffer salt aqueous solution, the flow velocity is 0.1-2.0 ml / min, the column temperature is 20-40 DEG C, a detector is an electrical conductivity detector, the detection mode is suppression electrical conductivity detection, and the sample size is 10-40 [mu] l; and obtaining the content information of the anions in the phlegm-heat clearing injection according to the detection result. The method disclosed by the invention is simple, convenient, efficient and rapid, and provides a theoretical basis for the quality control of the phlegm-heat clearing injection and the deep research of a pharmacodynamic material basis by detecting the content of the anions.

The application belongs to the technical field of material detection, and specifically provides a method for determining the sodium expansion rate of an aluminum cathode with a non-standard size under pressure, characterized in that the method comprises the following steps: preparing a composite sample through an aluminum cathode carbon block and a graphite block, and preparing a control sample through the graphite block; electrolyzing the composite sample and the control sample respectively; determining a first length increment curve of the composite sample in an electrolysis process, and determining a second length increment curve of the control sample in the electrolysis process; and determining the sodium expansion rate of the aluminum cathode based on the first length increment curve and the second length increment curve. The technical scheme provided in the application can realize the determination of the sodium expansion rate of an aluminum cathode with a non-standard size.

The invention provides a privacy protection ultra-high-dimensional feature screening method in longitudinal federated learning, which is characterized in that a privacy protection mechanism and a sampling method are added on the basis of an independence test method, data of a first data party is protected, and a control sample is sampled, so that the transmission cost is reduced, and the transmission efficiency is improved. Calculating the calculation cost of the independence test and the data encryption cost; and the second data party uses an independence test method to screen out a large number of redundant features, obtains low-dimensional sub-features, and uses a traditional longitudinal federated learning method to construct a machine learning model. According to the method, the transmission cost, the encryption cost and the calculation cost caused by the sample size are greatly reduced, and meanwhile, the transmission cost and the decryption cost of federal learning caused by the too high feature dimension are greatly reduced.

The invention discloses a PLC-based rectifying tower parameter automatic adjustment method and system, and belongs to the technical field of rectifying tower control. The method comprises the steps of performing clustering processing on historical regulation and control parameters to construct a classification area, constructing regulation and control samples marked as primary samples and secondary samples based on the classification area, and a sample intelligent model, determining target regulation and control parameters based on the primary samples, and transmitting the target regulation and control parameters to a PLC control system to execute regulation and control actions, and acquiring real-time operation parameters of the rectifying tower, inputting the real-time operation parameters into the sample intelligent model to output a simulation regulation and control parameter set, further judging regulation and control feedback, and triggering updating of the sample intelligent model when the regulation and control feedback is in a deviation state. According to the method, through double screening of historical regulation and control parameters and simulation pre-judgment before regulation and control, the accuracy of the regulation and control parameters is improved, and the stability, safety and robustness of the system are enhanced through closed-loop self-learning and fault-tolerant mechanisms.

This invention discloses a quantitative method for phospholipids, comprising: a sample preparation step, wherein a sample containing protein and phospholipids is mixed with Schiff reagent to obtain a sample for testing; a control sample preparation step, wherein the sample is mixed with a solvent of Schiff reagent to obtain a control sample; a measurement step, wherein the degree of a first optical property of the sample for testing and the degree of an optical property of the control sample are measured after the reaction of the aldehyde formed by the vinyl ether bond of phospholipids with Schiff reagent; and a determination step, wherein a correction degree obtained by correcting the degree of the first optical property using the degree of the optical property of the control sample is compared with the degree of a second optical property of the standard sample to determine the concentration of phospholipids in the sample, wherein the standard sample contains Schiff reagent and phospholipids of known concentration, and the degree of the second optical property is the degree of reaction of the Schiff reagent with the aldehyde formed by the vinyl ether bond of phospholipids.

The invention discloses a method for determining related substances in a loxoprofen sodium patch in the technical field of drug detection, and aims to solve the technical blank existing in determination of related substances in a loxoprofen sodium patch in the prior art. The method comprises the following steps: respectively weighing a loxoprofen sodium reference substance and an impurity reference substance, and adding a solvent for dilution to prepare a reference substance solution; taking a loxoprofen sodium patch, stripping a protective layer, adding tetrahydrofuran and methanol, shaking to separate the paste from a backing layer, adding water, shaking again, adding a solvent for dilution, uniformly mixing, centrifuging, and taking supernate to obtain a test solution; injecting the prepared reference substance solution and the test solution into a high performance liquid chromatograph for determination to obtain peak areas of the reference substance solution and the test solution; and calculating the content of the related substances in the loxoprofen sodium patch by adopting an HPLC correction factor method according to the peak areas of the reference solution and the test solution. The method is suitable for measuring the content of the related substances in the loxoprofen sodium patch.

The invention discloses a rapid detection method for talcum powder in food, and relates to the technical field of element analysis and detection. The detection method comprises the following steps: uniformly mixing a to-be-detected sample with nitric acid, perchloric acid and sulfuric acid, heating and digesting, supplementing nitric acid and continuing digesting, and increasing the heating and digesting temperature until the to-be-detected sample is completely digesting to obtain a digesting solution; adding the digestion solution into a colorimetric tube, adding water to a scale, and uniformly shaking to obtain a to-be-detected sample colorimetric solution; mixing another to-be-detected sample with the same mass with talcum powder to obtain a control sample, and treating according to the same method to obtain a control sample colorimetric solution; performing oscillation treatment on the to-be-detected sample colorimetric solution and the control sample colorimetric solution, and performing turbidity comparison under a black background through turbidimetry to obtain a detection result. The method is quick and simple to operate, high in sensitivity, high in accuracy, safe, efficient and energy-saving, the detection period is shortened by half compared with that of a national standard method, and the talcum powder in batch food can be detected at the same time.

The invention provides a self-starting control chart sequence rebound parameter updating method based on warning limit triggering, and relates to the field of statistical process control. Different from a traditional product quality characteristic distribution model based on normal distribution, the method mainly takes product quality monitoring in a high-quality manufacturing process as a target, modeling is performed on an event occurrence interval variable Xt in the process by using gamma distribution, a pivot vector # imgabs0 # is constructed based on the modeling, and mapping from the Xt to self-starting event occurrence interval data St is completed. Further constructing a monitoring statistic Qt of the self-starting control chart by using an exponential weighted moving average method, dynamically switching a parameter updating process based on a time sequence and a sequence bounce according to position information of the Qt in a safety domain, a warning domain and an out-of-control domain of the control chart, delaying the progress that an out-of-control sample flows into parameter estimation, and calculating the out-of-control sample according to the parameter updating process. Data pollution caused by out-of-control samples to parameter estimation is reduced, and the monitoring efficiency of the self-starting control chart is improved.

The application discloses an infrared small target detection network training method and device, equipment and a storage medium, and relates to the technical field of target detection. The method comprises the following steps: based on the number of positive samples and a preset proportion coefficient, difficult negative sample sets and easy negative sample sets are selected from an initial negative sample set; the preset proportion coefficient is a coefficient that is preset to improve the balance degree of the number of positive and negative samples; a weight matrix for controlling samples in a back propagation process is generated according to the difficult negative sample sets and the easy negative sample sets; a difficult point mining loss function is determined based on the weight matrix, and the infrared small target detection network is point supervised and trained by using the difficult point mining loss function. Through the above scheme, the difficult negative sample sets and the easy negative sample sets are determined based on the number of positive samples and the preset proportion coefficient, the unbalanced situation of the number of positive and negative samples in the target detection network training process is prevented, the balance degree of the number of positive and negative samples is improved, and therefore the training effect of the target detection network is improved.

Disclosed are methods of predicting a. subject's responsiveness to an immunotherapy comprising detecting the presence and / or amount of a miR155 gene signature in the subject or a sample from the subject, wherein the miR155 gene signature comprises one or more of miR155, CD3E, CD3G, CD8A, CD8B, CXCR6, FXYD5, GZMB, ID2, IFNgamma, LAGS, NKG7, PDCD1, S100A4, and TIGIT; and comparing the presence and / or amount of the miR155 gene signature to a control sample or threshold, wherein the presence and / or an altered amount of the miR155 gene signature relative to the presence or amount in the control sample or threshold indicates the subject will be responsive or is responding to the immunotherapy.

The artificial hip joint wear test system comprises a first linear motor; the first clamp is used for clamping a contrast sample and can be driven by the first linear motor to reciprocate up and down in the vertical direction; the first load sensor is arranged between the first linear motor and the first clamp; the follow-up platform is arranged between the first clamp and the micro-separation platform and is connected with the balancing weight through a steel wire rope bypassing the fixed pulley so as to just counteract the preset weight, so that the control sample and the test sample are subjected to the same vertical downward load; a micro-separation platform; the second clamp is used for clamping a test sample; the second load sensor is arranged between the micro-separation platform and the second clamp; and the three-axis rotating mechanism is connected with the second clamp and is used for applying rotating force to the test sample in at least one of the X-axis direction, the Y-axis direction and the Z-axis direction. The control sample provides a reference that can be observed over time, which helps to compare and differentiate the long-term wear characteristics of new materials or designs of the test sample.

The invention discloses a fingerprint spectrum of Huanglong cough-relieving granules and a construction method, and relates to the technical field of pharmaceutical analysis. The construction method comprises the following steps: (1) preparation of a test solution: taking Huanglong cough-relieving granules, and adding an extraction solvent for extraction; (2) preparing a reference substance solution; (3) preparing a reference medicinal material solution; (4) chromatographic conditions: octadecylsilane chemically bonded silica is used as a filler; the mobile phase A is acetonitrile, the mobile phase B is 0.1-0.2% phosphoric acid, the flow rate is 0.38-0.42 ml / min, the column temperature is 29-31 DEG C, the detection wavelength is 210 nm in 0-17 min, and the detection wavelength is 270 nm in 17-48 min; and (5) absorbing the solution, and adding the solution into a liquid chromatograph for detection. The fingerprint spectrum constructed by the method can systematically reflect the material basis, is relatively good in precision, repeatability and stability, and can be used for quality control of the Huanglong cough-relieving granules.

The invention relates to the technical field of chemical analysis, and particularly discloses a method and a system for analyzing and calculating the aggregation condition of an analyte in a chemical composition, and the analysis method comprises the following steps: obtaining a chemical image of the analyte in a control sample and a chemical image of the analyte in at least one test sample, carrying out Gaussian blur on each chemical image, and calculating the aggregation condition of the analyte in the chemical composition; carrying out brightness calibration on the obtained Gaussian blurred image; converting the Gaussian blurred image after brightness calibration into a binary image; converting the binary image into a one-dimensional array; counting continuous lengths when predetermined pixels appear in the one-dimensional array and frequencies corresponding to the continuous lengths, and generating a histogram of the frequencies and the continuous lengths; fitting the histogram by using an exponential Gaussian distribution function to obtain an exponential attenuation parameter of the fitted exponential Gaussian distribution function; and calculating the aggregation index of the test sample according to the index attenuation parameters corresponding to the test sample and the control sample. According to the technical scheme, the aggregation condition of the analyte can be quantitatively determined.