Abstract

Disclosed in the present application are a primer and fluorescent probe used for detecting eight TORCH pathogens. The nucleic acid sequence of the primer comprises sequences as shown in SEQ ID NO.1-SEQ ID NO.18, and the nucleic acid sequence of the fluorescent probe comprises sequences as shown in SEQ ID NO.19-SEQ ID NO.27. The present application creatively designs the primer and fluorescent probe used for detecting the eight TORCH pathogens, thereby achieving typing detection for eight targets of TORCH in one tube by means of a PCR-beacon melting curve method.

IPC Classes  ?

• C12Q 1/70 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving virus or bacteriophage
• C12Q 1/6893 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for protozoa
• C12Q 1/686 - Polymerase chain reaction [PCR]
• C12Q 1/04 - Determining presence or kind of microorganismUse of selective media for testing antibiotics or bacteriocidesCompositions containing a chemical indicator therefor
• C12N 15/11 - DNA or RNA fragmentsModified forms thereof
• C12R 1/90 - Protozoa
• C12R 1/93 - Animal viruses

Abstract

Disclosed are a primer and probe combination for detecting human papillomavirus and use thereof. The primer and probe combination comprises a primer and a probe for detecting human papillomavirus. The nucleic acid sequence of the primer comprises sequences set forth in SEQ ID NO. 1 and SEQ ID NO. 2. The probe is selected from any one or a combination of at least two of probes with nucleic acid sequences set forth in SEQ ID NO. 3-SEQ ID NO. 25. According to the present application, by means of designing a primer and a molecular beacon probe capable of specifically amplifying the human papillomavirus, rapid, accurate, and high-sensitivity type detection can be carried out on a total of 23 types of HPV, and each type can be determined.

IPC Classes  ?

• C12Q 1/70 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving virus or bacteriophage
• C12Q 1/6851 - Quantitative amplification
• C12N 15/11 - DNA or RNA fragmentsModified forms thereof
• C12R 1/93 - Animal viruses

Abstract

The present application provides a lyoprotectant and a lyophilization process of fecal microbiota. The ingredients of the lyoprotectant include saccharides and a polymer protectant, and the saccharides include a combination of xylooligosaccharide, trehalose, and mannitol. The lyoprotectant and the lyophilization process of fecal microbiota provided by the present application can protect the activity of microbiotic liquid extracted from feces, thus effectively improving the lyophilization survival rate of fecal microbiota.

IPC Classes  ?

• C12N 1/04 - Preserving or maintaining viable microorganisms
• C12N 1/20 - BacteriaCulture media therefor
• A61K 47/24 - Organic compounds, e.g. natural or synthetic hydrocarbons, polyolefins, mineral oil, petrolatum or ozokerite containing atoms other than carbon, hydrogen, oxygen, halogen, nitrogen or sulfur, e.g. cyclomethicone or phospholipids
• A61K 47/46 - Ingredients of undetermined constitution or reaction products thereof, e.g. skin, bone, milk, cotton fibre, eggshell, oxgall or plant extracts
• A61K 35/74 - Bacteria
• A61K 9/19 - Particulate form, e.g. powders lyophilised
• A61K 9/48 - Preparations in capsules, e.g. of gelatin, of chocolate
• C12R 1/01 - Bacteria or actinomycetales

Abstract

Disclosed in the present application is a primer-probe combination used for detecting influenza A viruses and influenza B viruses by means of recombinase polymerase amplification (RPA). The primer-probe combination comprises a probe and primers targeting influenza A viruses, and a probe and primers targeting influenza B viruses. Further disclosed in the present application are a kit containing the primer-probe combination, the use of the primer-probe combination and a method for detecting influenza A viruses and influenza B viruses by using said primer-probe combination.

IPC Classes  ?

• C12Q 1/68 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving nucleic acids
• C12Q 1/6876 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
• C12Q 1/70 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving virus or bacteriophage

Abstract

The present application provides a primer-molecular beacon combination for molecular typing of a wild type and a mutant type of a monkey poxvirus and use thereof. The primer-molecular beacon combination comprises a primer pair and a molecular beacon that specifically amplify and detect a monkey poxvirus F3L gene, respectively. Nucleotide sequences of the primer pair that specifically amplifies the monkey poxvirus F3L gene are set forth in SEQ ID No. 1 and SEQ ID No. 2. The primer-molecular beacon combination of the present application features good specificity and high detection sensitivity, and the detection lower limit reaches 1 copy. Rapid, simple, convenient, accurate, efficient, practical, and economical detection of a wild type of monkey poxvirus and variants thereof can be realized by using the kit of the present application, and the wild type of the monkey poxvirus and variants thereof can also be effectively distinguished by means of a molecular beacon melting curve method, which can meet the requirements of related pathogen detection in actual clinical examination.

IPC Classes  ?

• C12Q 1/68 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving nucleic acids
• C12N 15/11 - DNA or RNA fragmentsModified forms thereof
• C12R 1/93 - Animal viruses

Abstract

Disclosed in the present application are a component classification method and apparatus for a lipoprotein subtype, and a device and a storage medium. The method comprises: acquiring a reagent scanning image of a lipoprotein reagent to be subjected to classification (S110); and performing low-density lipoprotein subtype component classification on the reagent scanning image on the basis of predetermined target segmentation point locations, wherein the target segmentation point locations are obtained on the basis of processing sample scanning images of a plurality of sample lipoprotein reagents (S120).

IPC Classes  ?

• G06T 7/00 - Image analysis
• G06T 7/10 - SegmentationEdge detection
• G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
• G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

Abstract

Disclosed is a method for preprocessing a scan image of a lipoprotein cholesterol reagent after electrophoresis. The method for preprocessing the scan image of the lipoprotein cholesterol reagent after electrophoresis comprises: obtaining a scan image of the lipoprotein cholesterol reagent after electrophoresis, collecting a statistic about grayscale values in the scan image to obtain a grayscale value statistic chart, and cropping the scan image according to the grayscale value statistic chart to obtain a scan image of each gel column in the scan image; converting the scan image of the gel column into a grayscale image, setting thresholds of the grayscale image of the gel column, obtaining a maximum value of the grayscale image of the gel column and coordinates corresponding to the maximum value according to the thresholds, and according to the maximum value and the coordinates corresponding to the maximum value, obtaining peaks and inflection points respectively corresponding to a very low-density lipoprotein, a high-density lipoprotein, and a low-density lipoprotein; and cropping the scan image of the gel column according to the peaks and inflection points, and performing blank filling on the cropped scan image to obtain image data of a plurality of lipoproteins.

IPC Classes  ?

• G06T 7/90 - Determination of colour characteristics

Abstract

Disclosed in the present application are a method and apparatus for determining concentration of a low-density lipoprotein reagent, and a storage medium. The method for determining concentration of a low-density lipoprotein reagent comprises: obtaining a target image of a low-density lipoprotein reagent; and determining a target classification node associated with the target image in a plurality of classification nodes by means of a preset random forest model on the basis of a grayscale value of a pixel in the target image and a grayscale threshold of each classification node in the plurality of classification nodes of a classification regression tree in the preset random forest model, and determining the concentration of the low-density lipoprotein reagent according to a concentration value of the target classification node.

IPC Classes  ?

• G06T 7/00 - Image analysis
• G06T 7/11 - Region-based segmentation
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06N 3/00 - Computing arrangements based on biological models