48 results about "Unknown substance" patented technology

The invention relates to a device and methods for the characterisation of a flowing substance, liquid or gas. Particular embodiments of the invention relates to the use of the device for the identification of a flowing substance for controlling the flow of a fuel or combustion gas to deliver a controlled heat of combustion and for measuring the heat capacity of a gas. Further embodiments of the invention relate to a flow control device for controlling the flow rate of a flowing substance and a method for the combustion of a fuel or combustion gas. The device for the characterisation of a flowing substance comprises: a transport duct on which is mounted a heating or a cooling element; a temperature difference sensor comprising a first temperature measurement cell downstream of the heating or cooling element and means to determine a temperature difference in the flowing substance upstream and downstream of the heating or cooling element; flow control means comprising flow measurement means for measuring a mass flow characteristic and flow correction means for correcting for measured mass flow variations; and evaluation means for evaluating a characterising feature of the flowing substance comprising a function relating temperature differences measured on one or more calibration substances to one or more characterising features of the flowing substance. The device is relatively simple and cheap and gives a quick but accurate and reliable characterisation of a flowing substance, gas or liquid, that can be used in a flow control device to control the flow rate of unknown substances.

A system and method for identifying an unknown substance in a sample comprising multiple entities. A method may comprise generating a RGB image representative of a sample and assessing said RGB image to identify at least one region of interest. This region of interest may he assessed to generate a spatially accurate wavelength resolved image, which may be a hyperspectral image. This spatially accurate wavelength resolved image may comprise a fluorescence, Raman, near infrared, short wave infrared, mid wave infrared and / or long wave infrared image. This spatially accurate wavelength resolved image may be assessed to identify said unknown substance. A system may comprise: a reference database, a first detector for generating an RGB image, a second detector for generating a spatially accurate wavelength resolved image, and a means for assessing said RGB image and said spatially accurate wavelength resolved image.

The present invention discloses a terahertz spectroscopy feature extraction method based on convex combination kernel function principal component analysis, and relates to the field of spectrum analysis and substance type detection technologies. The method comprises: acquiring a time domain observed signal, filtering noise information by a frequency terahertz spectrum curve obtained from a discrete fourier transformation, performing cubic spline interpolation on the spectrum curve, performing resampling by intercepting comparable data in a same frequency range and completing data normalization; and performing a convex combination kernel function mapping on a sample after completing preprocessing, performing dimension reduction on a mapped basis function matrix to finally realize terahertz spectroscopy feature extraction, and analyzing intra-cluster, inter-cluster relationships of dimension reduced data. According to the terahertz spectroscopy feature extraction method based on convex combination kernel function principal component analysis, the number and high resolution of a spectrum sample are not required, and the effect of a interference signal on the feature extraction can be fully reduced, so that the feature extraction and a low dimension representation of the terahertz frequency domain spectroscopy are realized in the case of unknown substance types and numbers, and the method has a distinct cluster effect.

The invention discloses a high-resolution mass spectrum accurate molecular formula forecasting method. According to the method, candidate molecular formulas are graded and ranked by mainly adding a condition of a probability that the molecular formula exists in practice so as to improve the rank of the accurate molecular formula. Through actual tests, no matter the speed or accuracy of the method is better than that of a common method. In addition, due to the combination of the method and a common candidate molecular formula screening algorithm, the universality and accuracy of the forecast of the molecular formula can be greatly improved; through the method, accurate molecular formula forecasting can be conveniently carried out on high-resolution mass spectrum data; extremely valuable reference results are provided for operations of analyzing compound structure, and screening known substances or unknown substances.

A detection system assembly is provided. The detection system assembly includes a detector system including a housing having a sample port configured to receive a sample of an unknown substance, a detector assembly in flow communication with the sample port, and a pump in flow communication with the detector assembly. The detection system assembly further includes a dryer cartridge removably coupled to an outer surface of the housing of the detector system. The dryer cartridge is in flow communication with the pump and the detector assembly.

Disclosed are systems and methods that use discriminant analysis techniques and processing in order to reduce the time required to determine chemical and / or physical properties of a substance. One method includes optically interacting a plurality of optical elements with one or more known substances, each optical element being configured to detect a particular characteristic of the one or more known substances, generating an optical response from each optical element corresponding to each known substance, wherein each known substance corresponds to a known spectrum stored in an optical database, and training a neural network to provide a discriminant analysis classification model for an unknown substance, the neural network using each optical response as inputs and one or more fluid types as outputs, and the outputs corresponding to the one or more known substances.

The present invention provides a method and an apparatus for analyzing mass analysis data for easily deducing the structure of an unknown substance, based on data obtained by an MSn analysis. First, the structural formula of a precursor ion of the unknown substance is deduced based on the mass-to-charge ratio of the precursor ion (Step S12), and candidate structures which have the same compositional formula as the compositional formula deduced in Step S12, by combining the structure of the known substance and known structural change patterns (Step S14). Next, fragment ion peaks expected to appear from the candidate structures are deduced (Step S15), and based on the expected fragment ion peaks, the candidate structures are ranked in the order of probability (Step S16). Then, by comparing a mass spectrum of the known substance and that of the unknown substance, a common fragment ion peak is searched. (Step S19). If a common peak exists, assuming that a partial structure of the known substance corresponding to the peak is included also in the unknown substance, the candidate structures are narrowed down based on information on the partial structure (Step S21).

In deducing the composition of an unknown metabolite, information on the kind of reaction and the component which is added or dropped is provided, based on the prediction and knowledge on the pathways of metabolism (S5). Then, based on the information, the kind of elements and the maximum value of the increase and decrease in the number of atoms of the elements are computed. In addition, based on the values and the composition of the original substance, the kind of the unknown substance and the possible range of numbers of atoms thereof are obtained (S6 and S7). Using the element's kind and range of numbers as a computational condition, the combination of elements that matches the mass of the unknown metabolite obtained by a mass analysis is searched to deduce the composition of the unknown metabolite (S8). Since the computational condition is fairly limited, the composition can be deduced with a practical amount of computation and with a high degree of accuracy.

A processor (190) configured to classify an unknown substance (82) based on simultaneously processing a plurality of parameters determined from a plurality of signals that are measured by at least one detector (17,18), wherein the at least one detector is located within a gantry (12) of an imaging system (10).

A device for identifying an unknown substance includes an optical source configured to direct a laser excitation beam at the unknown substance. A detector is configured to detect scattered light from the unknown substance and generate at least one signal representative of a scattering spectrum corresponding to at least one chemical within the unknown substance. A microprocessor is in signal communication with the detector and configured to generate a pattern representative of the at least one chemical in response to the at least one signal received from the detector to identify the chemical composition of the unknown substance. The device is configured to complete a bioassay to identify a biological nature of the unknown substance.

The present invention provides a purification method of alpha-methyl-naphthalene. The method comprises the following steps: the alpha-methyl-naphthalene without indole is used as raw material and reacts with metal halides for 3 to 8 hours; the metal halides are selected from AlX3 and ZnX2; wherein, X is atoms of Cl<-> and Br<->; after solids and flocculates generated in the reaction are removed, washing solvent is added into and mixed with the filtrate; then the mixture is standing for 20 to 40 minutes; the washing solvent is selected from methanol, ethanol, propanol, ether or benzene; after the solvent in the upper solution is steamed, the purified alpha-methyl-naphthalene can be prepared. The purification method eliminates most of methyl benzothiophene impurities and unknown substances in the alpha-methyl-naphthalene so that the purity of the alpha-methyl-naphthalene can reach to 99 percent. The purification method has the advantages of high quality of the product, high added value, broad source of the solvent, low price, low energy consumption and so on. The alpha-methyl-naphthalene that is prepared in the purification method can be used as pharmaceutical intermediates, surfactants of terylene printing carriers, or used on other occasions requiring relatively high-purity alpha-methyl-naphthalene.

The invention provides a quick analysis method of a chemical structure. The method comprises the following steps that a gas phase or liquid phase mixture is directly fed into a gas phase or liquid phase mass spectrometer; then, a primary mass spectrum of each ingredient in the mixture is obtained by a soft ionization method; then, parameters are changed so as to add one or a plurality of perturbation to obtain a two-dimensional mass spectrum; then, the two-dimensional mass spectrum is analyzed by a dynamic entropy minimum method; each independent ion and the corresponding dynamic process are found; next, the chemical formula of each independent ion is calculated by using high-resolution mass-to-charge ratio data of the independent ions, or the structure formula of each independent ion is determined by the comparison with the existing independent ion and dynamic database; further, the chemical formula or chemical structure of each ingredient in the mixture is determined. The method has the advantages that the demand on original samples is small; the samples do not need preprocessing; the operation is simple and convenient; the analysis result is accurate; the quick analysis on the structures of unknown substances and known substances in the mixture by the gas phase / liquid phase mass spectrometer is facilitated.

The invention discloses a qualitative analytical method of a substance. The method comprises the following steps: a, sampling a substance to be detected, quantifying the sample by using a solvent, wherein the quantifying temperature is 50-120 DEG C, and the ratio of the sample to the solvent is (1g-2g):(60ml-80ml), extracting, further concentrating an extract after 1-4 hours, performing qualitative analysis on a concentrated liquid by using a gaschromatographic mass spectrometry; b, sampling the substance to be detected, dissolving the sample into mixed acid to prepare a mixed solution, wherein the ratio of the sample to the mixed acid is (1g:2g):(3ml-5ml), performing qualitative analysis on the mixed solution by using an inductive coupling plasma emission spectrometer, wherein the volume ratio of nitric acid to muriatic acid and hydrofluoric acid in the mixed acid is (1-3):(1-3):(0-0.5); and c, sampling the substance to be detected, performing qualitative analysis on the sample by using a Fourier transformation infrared spectrum analyzer, and comparing a peak value in a spectrum with that of a databank. By adopting the method, the component of an unknown substance can be precisely and qualitatively analyzed.

In order to use the mass spectrometrical analysis at the same time to determine the structure and / or families and / or the chemical properties of a substance, free of subjective evaluation, in the shortest amount of time, in an automatable fashion and with high accuracy, without requiring identical fragmentation patterns and / or defined comparison or identification rules, according to the invention a fragmentation graph is formed from one or more mass spectrometrical fragmentation spectra of to the substance, the data of the graph being compared to reference data preferably stored in an electronic database. The invention is used in particular in biological, pharmaceutical and chemical applications for determining the structure and / or the family and / or the chemical properties of unknown substances.

A system and methods for characterizing an unknown substance is described. One of the methods include determining an effective atomic number of the unknown substance as a first function of a first gradient of a first line.

A method for classifying an unknown substance is provided, The method includes classifying the unknown substance based on simultaneously processing a plurality of parameters determined from a plurality of signals that are measured by at least one detector. The at least one detector is located within a gantry of an imaging system.

The invention relates to a flammable liquid flash point prediction method based on Raman spectroscopy, which comprises the following steps that: 1) a computer establishes and optimizes a partial least square - Raman (PLS-RAMAN) prediction model of flammable liquid flash points; 2) a Raman spectrometer acquires Raman spectrum information of an unknown substance and transmitting the Raman spectrum information to the computer; and 3) the computer matches the received Raman spectrum information with a standard spectrum database of the computer to obtain the closest standard spectrum, and a flash point corresponding to the closed standard spectrum is obtained according to the prediction model and is used as the flash value of the unknown substance. Compared with the prior art, the flammable liquid flash point prediction method based on Raman spectroscopy has the advantages of rapid detection speed, less environmental pollution, small instrument dependence and the like.

In estimating a structural formula of an unknown substance produced through partial structural change of an original substance having a known structure caused by metabolism or the like, structural change is considered in two stages, the elimination of a partial structure and the addition of another partial structure. First, an additional partial structure is collected as known information in addition to an MSn spectrum of the unknown substance and a structural formula of the original substance. A structural formula at the time when a partial structure is eliminated from the original substance is estimated, and a structural formula of each of product ions is estimated. The structural formula of the unknown substance is determined by estimating a structure that can produce the candidates for structural formulas of the product ions by dissociation.

A device for identifying an unknown substance includes an optical source configured to direct a laser excitation beam at the unknown substance. A detector is configured to detect scattered light from the unknown substance and generate at least one signal representative of a scattering spectrum corresponding to at least one chemical within the unknown substance. A microprocessor is in signal communication with the detector and configured to generate a pattern representative of the at least one chemical in response to the at least one signal received from the detector to identify the chemical composition of the unknown substance. The device is configured to complete a bioassay to identify a biological nature of the unknown substance.

The present invention relates to a method and a device for identifying unknown substances in an object. According to the state of the art a collimated X-ray beam is directed onto the object and X-ray energy scattered from the object is detected and measured. The measurement values detected are compared to known measurement values corresponding to specific substances or classes of substances to identify unknown substances in the object. The method and device further execute the following steps: Detect and measure a function of Rayleigh intensity at a number of angles in a predetermined angular range to determine the angular course of the function of Rayleigh intensity in the angular range, Determine an angle or angle interval within the angular range at which the function of Rayleigh intensity is essentially zero; and identify unknown substances in the object by comparing the angle or angle interval determined to known angles or angle intervals at which the function of Rayleigh intensity corresponding to specific substances or classes of substances is essentially zero.

The embodiment of the invention discloses a surface-enhanced Raman spectrograph for safely and quickly screening food. The surface-enhanced Raman spectrograph comprises a controller, a Raman spectrumdetection device, a temperature sensor and a pH (Potential of Hydrogen) detection device, wherein the temperature sensor is used for detecting the environment temperature value of current protein foodto be detected; the pH monitor is used for detecting the environment pH value of the protein food; the Raman spectrum detection device is used for obtaining a first Raman spectrum obtained by scanning the protein food on a first time node, and a second Raman spectrum obtained by scanning the protein food on a second time node; the controller is used for inquiring a preset database according to the environment temperature value and the pH value and obtaining standard protein denaturation speed corresponding to the environment temperature value and the pH value; and if the protein denaturationspeed of the protein food is higher than standard protein denaturation speed, warning information is output. By the implementation of the embodiment, hazardous substances do not need to be known in advance, and the Raman spectrum can be used for detecting a food deterioration problem caused by unknown substances.

The present invention relates to a method and a device for identifying unknown substances in an object. According to the state of the art a collimated X-ray beam is directed onto the object and X-ray energy scattered from the object is detected and measured. The measurement values detected are compared to known measurement values corresponding to specific substances or classes of substances to identify unknown substances in the object. The method and device further execute the following steps: Detect and measure a function of Rayleigh intensity at a number of angles in a predetermined angular range to determine the angular course of the function of Rayleigh intensity in the angular range, Determine an angle or angle interval within the angular range at which the function of Rayleigh intensity is essentially zero; and identify unknown substances in the object by comparing the angle or angle interval determined to known angles or angle intervals at which the function of Rayleigh intensity corresponding to specific substances or classes of substances is essentially zero.

The invention relates to preparation of oil for beriberi, in particular to a preparation method of peony essential oil for the beriberi. The peony essential oil for the beriberi comprises the following components by weight percentage: 2-4% of peony essential oil, 2-4% of tea essential oil, 3-5% of cypress essential oil, 5-8% of thyme essential oil, 4-6% of lavender essential oil and the balance of plant essential oil. The preparation method comprises the steps that the peony essential oil for the beriberi is formed by conducting vaporous mixing, standing, ultraviolet sterilization, packaging and warehousing on the components. An unknown substance in the peony essential oil has a remarkable treatment effect on the beriberi; and through the use of 30 patients during a year, superposition of a cure rate and an effective rate reaches 100%,a recurrence rate is only 1 / 5, and the recurring patients can recover basically through the follow-up use of the peony essential oil for the beriberi.

The invention aims to provide a pickling method of dried radishes. The pickling method comprises the following steps of (1) thoroughly cleaning radishes, airing the cleaned radishes so that the surfaces of the aired radishes are free from water, and cutting the aired radishes into radish strips of which the size is 0.5*1*3cm<3> for standby application; (2) uniformly sprinkling edible salt on the surfaces of the radish strips, and uniformly grasping the radish strips by hands, so that the salt is uniformly spread on the surfaces of the radish strips; (3) cutting scallions into fine chopped scallions, cutting ginger into fine chopped ginger, cutting garlic into fine chopped garlic, cutting dried red peppers into fine chopped dried red peppers, and uniformly mixing the fine chopped scallions with the fine chopped ginger, the fine chopped garlic and the fine chopped dried red peppers for standby application; (4) uniformly mixing a light soy sauce with a dark soy sauce, vinegar and white sugar to be used as a pickling material; and (5) respectively putting the materials obtained in the above steps in a jar for sealed preservation. The pickling method disclosed by the invention is simple and easy to operate, and the added pickling material and the added ingredients are all common condiments in daily life, so that the dried radishes are suitable for common families to daily pickle and eat, the addition of unknown substances is avoided, and besides, the pickled dried radishes are sour, sweet and crisp, and refreshing to eat.

The invention discloses a micro spectrometer based on a micro-electro-mechanical interference platform. The micro spectrometer comprises a light-path system and a circuit system, wherein the light-path system comprises a light source, two collimating lenses, a sample pool, a dichroscope, a beam splitter mirror, a total reflection mirror, a micro-electro-mechanical interference platform, a dichroscope, a light filter and two detector; the circuit system comprises a data processing module which comprises photoelectric detection, core algorithm and spectral data processing; light emitted from a light source ensures that excited samples in the sample pool emit sample light, and after the light source penetrating through the sample pool is split, one beam of the light is used as reference light, and the other beam of the light is used as feedback light. The three types of light are fed into the circuit system after a series of actions, the circuit system sends spectral information of the collected sample light into a spectral database system, and compares the spectral information with the known data in the spectral database so as to judge the chemical composition of unknown substances. The micro spectrometer disclosed by the invention has the advantages that the chemical composition of the unknown substances can be conveniently judged, the cost is low and the accuracy is high.

A nanogap array method and device are provided which can trap, detect, and identify a substance with high sensitivity even if the substance to be detected is molecules contained in liquid. This device includes a cantilever array (3) including cantilevers (4) each having a probe (5), and a substrate (1) disposed below the cantilever array (3) and having modified surfaced (2) arranged so as to correspond to the probe (5) of each cantilever (4). Nanometer-sized gaps are defined between the modified surfaces (2) of the substrate (1) and tips of the probes (5) of the cantilevers (4) to trap, detect, and identify at least one unknown substance (6) set on the modified surfaces (2).

The invention belongs to the field of bio-engineering, and particularly relates to a method for preparing recombinant porcine beta 2-adrenergic receptor protein and an application of the recombinant porcine beta 2-adrenergic receptor protein in rapidly detecting beta 2 agonist medicaments. The recombinant porcine beta 2-adrenergic receptor protein obtained by separation and purification has beta 2 agonist binding activity, SDS-PAGE electrophoresis shows that the molecular weight of the recombinant protein is about 48kDa and the purity of the recombinant protein is more than 80%. The recombinant protein can specifically adsorb beta 2 agonist medicaments and three beta 2 agonist medicaments standard products with different concentrations have an inhibition effect on the reaction when detection is carried out by a competitive ELISA method. According to method disclosed by the invention, the beta 2AR receptor capable of specifically binding with beta 2 agonist is efficiently expressed by a molecular biology method and can be used for rapidly screening beta 2 agonist medicaments instead of conventional antibodies to achieve the detection of multi-residue and screening of unknown substance in medicaments, and the method has good application prospects.

The invention relates to a process for producing acetate from p-toluene sulfonic acid; a solid p-toluene sulfonic acid catalyst is added into deionized water and stirred to prepare an aqueous solution; the prepared aqueous solution is pressurized for standby use; acetic acid and n-propanol are added into an esterification reactor, the catalyst aqueous solution is pumped into the reactor, the mixture is uniformly mixed and heated to 105-110 DEG C to complete preparation of a reaction base material. The beneficial effects are that the experimental result of corrosiveness of the p-toluene sulfonic acid esterification system is obviously better than the experimental result of corrosiveness of sulfuric acid as a catalyst; the miscibility effect of the p-toluene sulfonic acid with the reaction raw materials is better; the p-toluene sulfonic acid catalyst does not need to be additionally added, and the loss of the catalyst is less; kettle residue of p-toluene sulfonic acid catalysis is stillrelatively clear; and the content of alcohols in crude esters produced by p-toluene sulfonic acid catalytic reaction is less, and the content of unknown substances is 0.17%, which is obviously lower.Waste esterification liquid produced by esterification of the p-toluene sulfonic acid catalytic system is about 5 ml, and the p-toluene sulfonic acid is obviously better than the sulfuric acid.

The invention discloses an extraction and separation method of prodigiosin. The extraction and separation method of the prodigiosin comprises the following steps: selecting a strain optimized in a laboratory; inoculating into seed medium after beveled activation, and carrying out fermentation cultivation; extracting prodigiosin, taking a fermentation liquor, centrifuging, and adding proper acidic acetone; carrying out ultrasonic extraction and rotary evaporation by using a rotary evaporator to obtain an acetone crude extract; degreasing by using a petroleum ether; carrying out a preliminary experiment before silica gelcolumn chromatography by using a thin layer chromatography method; carrying out experiment for a plurality of times by changing the ratio, so as to obtain the best solvent ratio; carrying out column chromatography; carrying out secondary chromatography separation and purification. By adopting the method, supernatant containing a little of prodigiosin is removed in a centrifuging manner; the strain is roughly extracted by using the acidic acetone; fine separation is carried out by selecting a common silica gelcolumn chromatograph; gradient elution is carried out by adopting a chloroform-ethyl acetate solvent system and a chloroform-ethyl acetate-methanol solvent system; the prodigiosin and an unknown substance are obtained in a separation manner. Thus, the separation purity is high.

The invention relates to a polygeline dextran composition which is extracted from beef bone or pig bone gelatin, contains substances such as polypeptide and amino acid and is used for injection. The composition is prepared from 32g of gelatin, 36-39g of sodium chloride, 0.9-1.3g of potassium chloride, 0.2-0.6g of calcium chloride and 5000ml of water for injection. The preparation method comprises the following steps of: 1, ultrasonic degradation of gelatin; 2, crosslinking; 3, electrolyte adjustment; and 4, filtering, encapsulating, sterilizing and packaging. According to the polygeline dextran composition, high-temperature degradation is not required, so that the phenomena that the crosslinking difficulty and the potential risk are increased caused by the factor that a great amount of micromolecule substances such as amino acid and small molecule peptide as well as unknown substances are generated as a result of intense high-temperature degradation reaction condition are avoided; the crosslinking quality controllability is high; no organic solvent is added; the safety is high; the electrolyte control is accurate and meets the national standard requirement; and the quality of products is reliable. A test proves that the injection of the polygeline dextran composition prepared by the invention meets the national standard requirement.