447 results about "Sample mass" patented technology

A multiple sample mass spectrometer having multiple atmospheric pressure ionization probes, each forming an ion spray with passages associated with each of said ion sprays for introducing sample ions into the mass spectrometer for analysis. The flow of ions through selected passages is selectively blocked whereby to permit analysis of ions from selected ionization probes.

Mass spectrometry-based methods are described for the detection or quantification of targeted proteins in biological samples e.g., plants, animals, and microorganisms, parts (e.g., tissue or cells) thereof, and products derived from plants, animals or microorganisms.

A computer facilitated method of requesting a spectral analysis of a sample having an unknown concentration or purity, performing an energy absorption analysis of the sample to obtain spectral data regarding the analysis and comparing the spectral data to a stored spectral data regarding the analyses of the samples having a predetermined concentration and purity to determine the concentration or purity of the sample having an unknown concentration or purity. The spectral analysis is performed on site where the sample is prepared or administered using a portable analytical apparatus and provides a real time report of the concentration or purity of the sample. The apparatus requires only a small sample size.

A product service life rapid test method based on a physical model comprises the steps of determining an equivalent environment profile; determining acceleration test conditions; determining an upper quality specification limit of the test; and determining a plurality of groups of sampling plans (n, c) under the given reliability and user risk. According to the method, the degradation physical model and acceleration tests are combined, so that forming of service life rapid test schemes of products of different types can be effectively guided, and whether the batch of products can meet service life index requirements under specified utilization conditions and environment conditions is tested within a short time. The stability rapid test method for product performance parameters is provided through the performance parameter physical model, so that the test sample size and test time can be saved, and research and development costs can be reduced; and by means of the acceleration test method, product batch production test time can be greatly shortened, and test procedures can be simplified.

The invention discloses an in-vitro cell micronuclei method for detecting total particulate matters of main stream smoke of cigarettes. The method comprises the steps of seeding cells on a 96-hole plate for cigarette smoke contamination, directly fixing, dyeing, and feeding the cells into a high-connotation imaging system for detection; setting fluorescence intensity parameters of main nucleuses and the micronuclei of the cells according to the difference between a fluorescence value of cell nucleuses and a background fluorescence value, measuring the sizes of the main nucleuses and the micronuclei of the cells so as to set nucleus diameter parameters, and setting distance parameters according to distances between the cell nucleuses; performing analysis on images according to the setting, and selecting the number of binucleated cells with the micronuclei and the total number of the binucleated cells from a result lead-out column so as to calculate the micronucleus rate. According to the method, the number of required cells is small, the cells are not need to be used, and micronuclei sheets are not required to be manufactured; furthermore, the in-vitro cell micronuclei method is high in detection speed, large in sampling quantity and high in accuracy.

A method for casting-in-place composite and/or non-filled structures which are useful as sorptive or reactive media or for size-based separations. Any particular housing size or configuration can be used, and the inclusion of a large amount of adsorptive particles in polymer is achieved while still maintaining the membrane three dimensional structure. In a first preferred embodiment, the composite structures comprise particles entrapped within a porous polymeric substrate, and are cast in-place into a housing such as a pipette tip, thereby providing an effective platform for micromass handling. With the appropriate selection of particle chemistry, virtually any separation or purification operation can be conducted, including selective bind/elute chromatography operations, on sample mass loads less than 1 microgram in volumes of a few microliters, as well as larger mass loads and volumes. The present invention also encompasses the composite structures as well as sample preparation devices containing the same. In a second preferred embodiment, self-retaining, self-supporting structures are cast in situ in a suitable housing and can be used for size-based separations wherein the cast structure acts as a semi-permeable barrier. The present invention also encompasses these structures as well as housings containing these structures.

The invention provides a micro-fluidic chip and a method for capturing and detecting an exosome. The micro-fluidic chip is composed of a glass substrate and a PDMS membrane. The PDMS membrane is provided with two curved mixing channels, two collection tanks, five collection channels, four sample inlets and a liquid outlet. Through combination of the micro-fluidic chip and immunomagnetic nanoparticles, a trace amount of an exosome in a liquid can be captured. Through the micro-fluidic chip, the exosome capture and detection can be finished on one technology platform. The method has the advantages of small sample amount and short detection time.

The invention discloses a method for detecting a fetal thalassemia pathogenic gene, which comprises the following steps of: (1) screening SNP sites, wherein the SNP sites are used for designing a primer pool of the thalassemia gene in an amplification genome and for capturing the probe of the thalassemia gene of the free DNA in the plasma of a pregnant woman; (2) extracting the free DNA in the plasma of the pregnant woman and the whole blood genomic DNA of the father, the mother and a born sibling and constructing a corresponding DNA library, and carrying out template preparation and enrichment; (3) sequencing the free DNA and the whole blood genomic DNA library in step (2); (4) constructing the haploid genotype of the SNP sites on the thalassemia gene, combining the sequencing informationof the free DNA and the whole blood genomic DNA library, analyzing the genetic condition of the parent source and the genetic condition of the parent source, so as to determine the corresponding genotype of the SNP sites of the fetal. According to the method, target area capture and high-throughput sequencing technology are used, so that the noninvasive antepartum detection of the thalassemia isrealized; the required sample amount is small; on the basis of detecting the mutation of the parent source, the method can realize the detection of the gene mutation of the maternal source of the fetal.

The invention relates to a similar product information-based bayesian reliability evaluation method of small number samples. The method comprises the steps of (S1) carrying out similarity scoring on similar products and determining a prior sample set; (S2) acquiring prior information, which includes failure life data and pseudo failure life data of the similar products; (S3) determining a prior distribution form; (S4) checking the failure mechanism consistency of the similar products; and (S5) determining prior distribution and posterior distribution and achieving bayesian reliability evaluation. According to the method provided by the invention, the sample quantity of the small number samples is effectively improved; and the prior information includes the failure life data and the pseudo failure life data and a two-parameter bayesian reliability evaluation problem is converted into single-parameter bayesian reliability evaluation, so that the bayesian reliability evaluation accuracy of the products is effectively improved and the calculation method of bayesian reliability parameter evaluation is simplified.

The invention relates to a method for detecting content of 3-monochloropropanol-1, 2-diol (3-MCPD) ester in edible oil. The method comprises the following steps: preprocessing a sample, carrying out acid-catalytic ester exchange, salting out, extracting, purifying, carrying out derivatization and detecting. According to the method, the internal labeling of stable isotopes is adopted, and the acid-catalytic ester exchanging is combined with the derivatization of heptafluorobutyrylimidazole to indirectly quantitatively analyze 3-MCPD ester by utilizing a single four-level lever GC-MS, so that the preprocessing time is shortened, the analysis efficiency is improved, the consumption amount of an organic solvent is greatly reduced, the environmental pollution is avoided, meanwhile, the analysis cost is also reduced, after the derivatization of heptafluorobutyrylimidazole, the information of a sample mass spectrum fragment is rich, and a gas chromatograph-mass spectrometer is hardly polluted.

The invention relates to a high-throughput sequencing-based detection kit for SNP loci used for detecting 273 SNP loci (234 SNP loci are located on an autosome, 9 SNP loci are located on a Y chromosome and 30 SNP loci are located on an X chromosome). The detection kit comprises a primer composition formed by primer pairs of 273 SNP loci. The sequence of the primer composition is as shown in SEQ ID NO:1 to SEQ ID NO:546. The invention further provides a detection method using the kit, and an application of the kit in the field of judicial identification of triplet paternity test, diad paternity test, grandparent and grandchild test, siblings identification and individual recognition. Parallel sequencing is carried out on the SNP loci by adopting a high-throughput sequencing technology, and variation information of a flanking sequence can be obtained while locus information is read; sequence information of 384 samples on the 273 SNP loci can be obtained through single sequencing, so that the DNA sample capacity is reduced and the detection time is shortened; and fragment libraries are concentrated below 200bp and are suitable for forensic degradable materials.

The invention relates to an industrial-grade intelligent surface defect detection method, which comprises the following steps: constructing and training to generate a twin generative adversarial network GAN, repairing an input image into a normal sample through an improved GAN network, and comparing the output with a manually labeled positive sample through a twin CNN network to obtain a difference, which is a defect. The twin generative adversarial network designed by the invention does not need a large number of samples and does not need to perform data amplification, can solve the problem of small sample size of common industrial products, and reduces the occurrence of an overfitting phenomenon caused by the small number of samples and zero samples in deep learning, so that the defect detection during the development of products and new products with small defect sample size becomes possible. A cross alignment loss function CA and a distribution alignment loss function DA are used to enhance the relationship between two network outputs, and a good classification and identification effect is obtained. The model training speed is improved through an Attention mechanism and a hardware GPU, so that industrial rapid deployment becomes possible.

The invention relates to the technical field of microfluidic chips, in particular to a digital microfluidic chip and a pathogen immunoassay method based thereon. The method comprises the following steps of: (1) making a digital microfluidic chip; (2) modifying the antigen in a detection region of the digital microfluidic chip; and (3) adding the sample and running the digital microfluidic chip, photographing and detecting a fluorescent signal through a fluorescence detection system CCD and performing a quantitative analysis. The digital microfluidic chip comprises a sample hole, a reagent electrode forming a reagent reservoir, a transport electrode forming a droplet operation channel, and a detection electrode forming a detection region. The digital microfluidic chip and the pathogen immunoassay method based thereon have short reaction time, high detection sensitivity, simple peripheral equipment, high flexibility and low energy consumption, can meet the needs of community hospitals, remote clinics and the like, are suitable for building portable analytics platforms, can be analyzed in batches or in a single sample, and has strong adaptability to the sample size.

The invention provides a sample size extraction determination method for testability verification of airplane airborne equipment. The sample size extraction determination method includes the three links of preliminary sample size determination, sample size distribution and sample size supplement. The preliminary sample size of various levels is eventually determined according to testability index parameters of different levels and added four constrained parameters of n1, n2, n3 and n4. According to the particular cases of products of various levels of the airplane airborne equipment, the upper limit is set to be 1000 for the preliminarily determined sample size, and the defects that that test workloads are too large, and the test cycle is too long are overcome. When samples are distributed, the constraint condition of calculating the minimum n (n is a positive integer) in the formula of Cpimin * 10n>/= 1 is designed, the accumulation range is provided for sample size supplement, and the samples can be conveniently distributed. Eventually, the method for supplementing samples is provided, the failure occurrence probability and failure distribution are considered, and an implementation means for test verification is considered.

The invention discloses a high-confidence small-sample evaluation method for the reliability of explosives. According to the mensurability and reliability requirements of explosives, and under the premise that the performance parameters of explosives obey normal distribution or approximate normal distribution or the evaluated performance parameters after transformation obey normal distribution or approximate normal distribution, the parameters and uncertainty of a population distribution model are estimated based on small sample data and measurement uncertainty of product performance parameter quantitative measurement. In the absence of priori information and in the presence of statistical characteristics, the number of pieces of sample data needed by the method can be reduced to five under the condition that the confidence level is not less than 0.90 and the reliability of explosive performance evaluation is not less than 0.99 or above. The confidence level of evaluation results reaching required reliability is not lower than 97.5% of the prescribed confidence level.

A method and system for detecting residual poison in human body are provided. Using the disclosed HPLC-Chip-mass spectrometry (MS)/MS and/or HPLC-MS/MS method to detect the residual poison, the method of the present invention mainly includes sample preparation, liquid chromatography and mass spectrometry. The method of the present invention has advantages of low sample size, high specificity, low detection limit, high sensitivity, low cost, high accuracy and stability, etc.

The invention discloses a quick high-sensitivity microbiological identification method based on micromolecular metabolic substance spectral analysis. The micromolecular metabolic substance of microorganism is served as a detection object of the method, and the microorganism is identified through combining a mass spectrometry with a chemometrics method. The method specifically comprises the following steps: 1, culturing a monoclonal growing microorganism strain to be identified; 2, centrifuging an obtained monoclonal microorganism thallus sample to be identified to remove a medium, adding water or a phosphate buffer solution with the pH value of 7.2-7.6 to wash, and centrifuging to remove the residual medium; 3, adding ethanol water which has the volume fraction of 75-95% and is 2-4 times of the volume of the monoclonal microorganism thallus into the monoclonal microorganism thallus to be identified, and thus obtaining an extracting solution sample; 4, carrying out mass spectrometry test on the extracting solution sample; and 5, acquiring 5-20 spectral peaks from a sample mass spectrogram, analyzing the obtained data through utilizing a chemometrics method based on multi-variate statistical analysis, and realizing the thallus identification.