553 results about "Species identification" patented technology

Method and apparatus for field ion mobility spectrometry for identification of chemical compounds in a sample by trajectory of sample ions in a transverse electric field.

Components resolved in time by a separator accumulate in a sample cell and are analyzed by electromagnetic radiation-based spectroscopic techniques. The sample cell can be configured for multiple path absorption and can be heated. The separator can be a gas chromatograph or another suitable device, for example a distillation-based separator. The method and system described herein can include other mechanical elements, controls, procedures for handling background and sample data, protocols for species identification and/or quantification, automation, computer interfaces, algorithms, software or other features.

The invention provides a building method for a rhubarb medicinal material trueness/falseness and species prediction model. According to the model, category identification of quality rhubarb, fake rhubarb and three rhubarb species is realized on the basis of a gas chromatography-mass spectrum technology in combination with partial least square discriminant analysis. The building method comprises the following steps: (1) collecting samples; (2) preparing the samples; (3) acquiring GC-MS data; (4) performing data processing and multivariate analysis, wherein cluster analysis and principal component analysis are performed by comparing the differences of chromatographic behaviors of rhubarb of different sources; (5) building the prediction model; and (6) verifying the model. Two built category prediction models are proved to have 100 percent identification accuracy and prediction accuracy. Through adoption of the method, trueness/falseness and species identification of rhubarb are realized by modeling, so that a reliable conclusion and high integrity are achieved; the defects of an existing method are overcome; and a more feasible and reliable new thought is provided for the trueness/falseness and species identification of rhubarb medicinal materials and decoction pieces.

The invention provides a fluorescently-labeled gene multiplex amplification technology for detecting sources of goat, sheep, pig and duck meat simultaneously. A method comprises the steps that mitochondria 16S rRNA (ribosomal Robonucleic Acid) and Cyt (Cytosine) b genes of a goat, sheep, a pig and a duck serve as target genes, and are subjected to PCR (Polymerase Chain Reaction) multiplex amplification by two pairs of fluorescently-labeled primers; PCR amplification products are detected by a 3730xl full automatic gene analysis meter; and species identification is performed according to 16S rRNA gene amplified fragment length polymorphism. The method fills in a gap of a detection method of the four kinds of meat.

System for control of ion species behavior in a time-varying filter field of an ion mobility-based spectrometer to improve species identification, based on control of electrical and environmental aspects of sample analysis.

The invention relates to an anti-pollution portable gene detection method and device. The operation procedure comprises the steps that a PCR pipe containing amplification products is put into a device to conduct sealing, and by means of a series of simple manual operations, a detection result visible by eyes is obtained; target nucleic acid amplification products can be detected rapidly, nucleic acid amplification products can be prevented from being polluted, and a false positive result is avoided. Application can be achieved in the aspects of species identification on the gene level in the fields such as pathogen detection on clinical infectious diseases, food pathogenic microbe detection, agriculture, industry, customs and animal husbandry.

The invention belongs to the technical field of biology and particularly relates to a carrot beta(1,2)xylosetransferase gene full sequence and plasmid construction of CRISPR (clustered regularly interspaced short palindromic repeats)/CAS9 for dicotyledon transfection. The carrot beta(1,2)xylosetransferase gene full sequence is discovered and determined for the first time, two effective gRNAs are designed aiming at the sequence to realize synthesis of corresponding CRISPR/CAS9 plasmids, and thus knockout of beta(1,2)xylosetransferase in suspension carrot cell genomes can be realized. In addition, two STR loci are found in the beta(1,2)xylosetransferase gene sequence, which is remarkably significant to species identification and evolution of carrots.

This invention provides oligonucleotide based arrays and methods for speciating and phenotyping organisms, for example, using oligonucleotide sequences based on the Mycobacterium tubercluosis rpoB gene. The groups or species to which an organism belongs may be determined by comparing hybridization patterns of target nucleic acid from the organism to hybridization patterns in a database.

The invention discloses a bird species identification method based on a dual-channel neural network. The bird species identification method comprises the steps that bird tweet signals of the known species are acquired and the preprocessed bird tweet signals are obtained through filtering, pre-emphasis and segmentation processing; signal sonagrams are generated based on linear frequency modulation wavelet transform; the bird tweet signals meeting the preset frame length range are cut to act as bird tweet time domain signals; the constructed preliminary identification model is trained with the signal sonograms acting as the input signals of a first channel, the bird tweet time domain signals acting as the input signals of a second channel and the corresponding bird species of the bird tweet signals acting as the identification result so as to obtain a bird species identification model; and the signals obtained by performing the same processing on the bird tweet signals to be identified are substituted in the bird species identification model to be identified so as to obtain the identification result. According to the bird species identification method based on the dual-channel neural network, the time domain characteristics and the time frequency characteristics of the tweet signals are fully utilized so that the efficiency and the accuracy of bird species identification can be enhanced.

The invention discloses an oil type identification method. The oil spill fluorescence spectra of serial concentrations in a certain concentration range are taken as fingerprint identification indexes to identify oil types, and can be considered as a traditional fluorescence spectrum plus a dimensionality that is the concentration so as to obtain more fluorescence signals of an oil spill sample, thus improving capability of identifying the oil types. The identification method comprises the following steps: half-diluting the normal oil spill sample with a certain fixed original concentration to prepare extraction liquids of the serial concentrations, and measuring the fluorescence spectra of the extraction liquids; selecting a 3D fluorescence spectrum or a synchronous fluorescence spectrum according to requirements for detection precision and data processing speed, thus establishing a concentration parameter supplemental characteristic spectrum database of the normal oil spill samples of different oil sources sequentially. While identifying the oil type of a certain oil spill sample, the oil spill sample is extracted and diluted in the same way, and the corresponding characteristic spectrum is obtained and identified by being compared with the sample characteristic spectrum in the database, thus the optimal matched sample is the oil type of the oil spill sample.

The invention discloses a biological species identification method based on a gene barcode, which comprises the following steps of: 1. the production of a gene barcode image and a gene barcode image database: DNA (deoxyribonucleic acid) nucleotide sequences of 617 prokaryotes are downloaded from a website http://www. ncbi. nlm. nih. gov /, and the gene barcode image of species to be identified is produced according to the prior art; 2. the pre-processing of the gene barcode image: the gray scale of [0, L] of the gene barcode image is stretched to [0,255] by gray scale stretching, and the contrast of the gene barcode image is enhanced by gray scale enhancement; 3. the retrieval of foreign gene fragments of the gene barcode image: the longitudinal division of the gene barcode image is carried out, and the horizontal foreign gene fragments are searched; 4. species identification: the similarity quantity between the two species is determined, namely, the spatial distance between the two species is determined, and the species identification and result output are carried out according to the similarity quantity.

The invention provides a method for identifying predator nematophagous hyphomycete arthrobotrys through DNA bar codes and belongs to the field of fungus species identification. According to the method, RPB2 genes serve as target DNA bar code genes for identifying the predator nematophagous hyphomycete arthrobotrys, combined arthrobotrys sample experiment data and target fungus data merged strategy is adopted to establish a high-cavity database, meanwhile, RPB2 genes to be identified are compared with a gene library, an identifying rule is established based on a system generation tree method of genetic distance method and clustering analysis of the Kimura-2-parameter probability to identify species. The method has the advantages that the RPB2 genes serve as the DNA bar codes most suitable for identifying the nematophagous hyphomycete arthrobotrys, and the method is universal and easy to amplify and compare. The identifying efficiency and the reliability and accuracy of the identifying method are greatly superior to those of a conventional DNA bar code method, and the method makes up for the blank of the nematophagous hyphomycete arthrobotrys DNA bar code molecular markers and the method provides a useful research tool for researches on germplasm resource excavation, biocontrol application and genetic diversity of nematophagous hyphomycete.

The invention relates to a related specie identification technology, in particular to a method for identifying related species of an oyster. The method specifically comprises the following steps of: by using an oyster genome DNA (Deoxyribonucleic Acid) as a template, designing a primer according to a tag sequence of the oyster specie genome; carrying out PCR (Polymerase Chain Reaction) amplification on the primer; and distinguishing oyster species by using Tm value difference in a high-resolution melting curve of an amplification product. Through the adoption of the method provided by the invention, the species can be identified rapidly, economically, simply and conveniently; and compared with a tag sequence sequencing result, an identifying result of the method provided by the invention is 100% in accuracy.

The invention discloses a food-borne pathogenic bacterium detection system based on a high spectrum. The food-borne pathogenic bacterium detection system comprises a surface detection line, a sorting line, a qualified product conveying belt and a point detection line, which are connected with a control system respectively. The invention further discloses a detection method of the food-borne pathogenic bacterium detection system based on the high spectrum. The surface detection line based on a near-infrared high-spectrum system is used for rapidly positioning food-borne pathogenic bacteria; the sorting line is used for conveying pork polluted by the food-borne pathogenic bacteria to the point detection line; Raman chemical imaging is used for realizing species identification of the food-borne pathogenic bacteria. According to the food-borne pathogenic bacterium detection system disclosed by the invention, the problems that the resolution ratio of detecting a microorganism cell structure by the near-infrared high-spectrum system is limited and the large-area scanning and imaging efficiency of the Raman chemical imaging is low are solved; the food-borne pathogenic bacterium detection system based on the high spectrum has the advantages of convenience for utilization and obvious detection efficiency.

The invention discloses an amplimer of a large yellow croaker mitochondrion complete genome sequence and an application thereof. The 15 pairs of amplimer are applied, a gene order is respectively shown as SEQ ID No: 1-30, the amplimer is further used for obtaining a Tai Qu family large yellow croaker mitochondrion complete genome sequence and a Min-Yue East family large yellow croaker mitochondrion complete genome sequence which are respectively shown as SEQ ID No: 31 and SEQ ID No: 32, and an amplimer of large yellow croakers in a high variation region is obtained. The amplimer and the application have the advantages that the Tai Qu family large yellow croaker and Min-Yue East family large yellow croaker mitochondrion complete genome sequences can be quickly and efficiently obtained respectively through the 15 pairs of amplimers; and the amplimer of the large yellow croakers in the high variation region provides support for the research of species identification, geographical population identification, germ plasm resources and genetic diversity of the large yellow croakers, and further provide the basis for developing an identification technology of Tai Qu family large yellow croakers and Min-Yue East family large yellow croakers.

The invention provides a molecular biology-based misgurnus anguillicaudatus and paramisgurnus dabryanus specie identification primer and an identification method. The misgurnus anguillicaudatus and paramisgurnus dabryanus specie identification primer is characterized by designing a specific primer sequence: upstream primer sequence being 5'-CCGCCCAGGAGTATTTTATG-3'(shown by SEQ ID NO.1); downstream primer sequence being 5'-TGGCATTTCATCAGGGGTG-3'(shown by SEQ ID NO.2). The identification method comprises the following steps: extracting DNA of misgurnus anguillicaudatus or paramisgurnus dabryanus samples by adopting a conventional method; performing PCR amplification; after the PCR amplification is completed, taking a proper amount of amplified products for performing gel electrophoresis detection to determine the size of amplified fragments, and identifying. The identification method is accurate and high-efficiency. The problems that the traditional morphological distinguishing method is difficult to operate and low in resolution success rate can be solved. Especially, the misgurnus anguillicaudatus and paramisgurnus dabryanu at the young and juvenile stages can be difficulty identified from appearance, and the invention provides a convenient and accurate identification method.

The present invention relates to a method for identifying a species from which blood is derived based on the spectrum data of the blood. The method can be used for fast identifying a species from which a blood sample is derived. According to the implementation steps of the method, a sample data set is divided into a plurality of data sets with relative independence; an identification model is trained for each data set; the capacities of the identification models of the data sets to predict other data sets are compared, so that samples contained in each data set are dynamically adjusted; by means of a circulative iterative process, feature distribution in the spectrum data of the blood sample is de-centralized, so that the wide-area distribution of spectrum feature information is ensured; and the capacity of an overall model to express the spectrum feature information of the blood sample based on the integration of the prediction capacities of the plurality of predictive identification models, and therefore, the accuracy of the prediction of the overall model can be improved.

The invention discloses a bird and frog intelligent monitoring method based on deep learning, which is used for remote wireless ecological monitoring. The method comprises: arranging an outdoor soundacquisition device in a monitoring area, wherein the outdoor sound acquisition device is triggered by a sound triggering module to acquire a bird sound and a frog sound; allowing a wireless communication module to wirelessly transmit an audio file of the bird sound the frog sound to a computer server; allowing the computer server to convert the audio file of the bird sound and the frog sound intoa visual sonogram and performing pre-processing; allowing the computer server to perform image recognition and statistical analysis on the sonogram; and generating a daily monitoring form. The bird and frog intelligent monitoring method compensates for the problems that in manual ecological monitoring, the human and material cost is high, the monitoring time and frequency are limited, the data processing efficiency is low, and requirements of species for professional skills of a recognition person are high, and can be used for long-term ecological monitoring of natural protection sites.

The invention belongs to the field of biomedical detection, relates to the technical field of microbe molecule biology detection, in particular to a multiplex polymerase chain reaction (PCR) kit capable of quickly identifying and diagnosing mycobacterium tuberculosis, nontuberculous mycobacteria, mycobacterium bovis and Bacillus Calmette Guerin vaccine simultaneously, and discloses four primer pair sequences designed for specific segments of four differential genes, namely 16S rRNA, IS6110, Rv2652 and Rv3873 of the mycobacterium, and amplification conditions for multiplex PCR. By the invention, a mycobacteria tuberculosis complex sequence can be quickly and accurately amplified in a sputum sample of a tuberculosis patient, and species identification can be carried out; the sensitivity is 50 colony forming units/template, which is far higher than that of an acid-fast staining method, an inspection procedure for the mycobacterium tuberculosis is greatly simplified, and a detection speed is improved; and meanwhile, different mycobacterium strains can be identified through once PCR, and a technical means is provided for clinic quick diagnosis of tuberculosis and molecular epidemiology survey.