70results about How to "Sample requirement is small" patented technology

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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