42results about How to "Wide range of analysis" patented technology

The utility model discloses a high efficiency liquid phase chromatogram method which can detect the content of various polyphenolic compounds inside fruits at the same time by adopting liquid phase chromatogram containing ultraviolet detector and reversed-phase bonded silica chromatographic column; organic solvent mobile phase A and acidic aqueous mobile phase B with certain Ph value are adopted as gradient eluant. The utility model quantitatively detects various polyphenolic compounds inside fruits at the same time only on normal high efficiency liquid phase chromatogram. The utility model builds a method of detecting the content of various polyphenolic compounds inside fruits which combines microwave extraction and high efficiency liquid phase chromatogram. The utility model has the advantages of advanced and accurate method, simple and quick sample processing; meanwhile, Carrez reagent is used as scavenging agent of fruits sample and is firstly used as fruit polyphenols testing.

The embodiment of the present invention discloses an emotion recognition method, device, and storage medium, wherein the method includes: acquiring voice data; converting the voice data into corresponding text content, and performing compliance analysis on the text content , obtaining a first analysis result; extracting acoustic feature parameters from the speech data, analyzing the acoustic feature parameters, and obtaining a second analysis result; performing emotion recognition based on the first analysis result and the second analysis result .

The invention discloses a method for rapidly measuring the content of calcium fluoride in fluorite by an X-ray fluorescence spectrometer. The method comprises the following steps: accurately weighing 1.5000-2.2000 g of fluorite sample and special fluorescent mixed flux 3.0-3.3 times more than the mass of fluorite sample; mixing uniformly and then placing in a gold-platinum crucible; adding 8 drops of a mold release agent lithium bromide; fusing according to a preset automatic sample fusion program in a high-frequency automatic sample fusion machine, to prepare glass sheets for analysis; placing sample pieces prepared by fusion in a wavelength dispersion type X-ray fluorescence spectrometer; selecting work parameters; using a K alpha line of fluorine as an analytical spectral line; measuring with an instrument; automatically calculating the content of calcium fluoride in the sample. The method provided by the invention overcomes a particle size effect and a mineral effect of the sample, and is easy to operate, short in time consumption, free of pollution brought by chemical reagents, wide in analysis range, high in accuracy, good in reproducibility, and suitable for measurement of various fluorite components, in particular measurement of calcium fluoride in fluorite ore with high content of calcium carbonate and calcium sulfate.

The embodiment of the invention provides a malicious order identification method and device and an electronic device. The method comprises the steps of obtaining data of a to-be-identified order behavior; and analyzing the data of the to-be-identified order behavior through utilization of an analysis model and obtaining a malicious score of the to-be-identified order behavior, wherein the analysis model is obtained by carrying out model training according to the data of a preset order behavior; and judging whether the to-be-identified order behavior is a malicious order behavior or not according to the malicious score. Through application of the embodiment of the invention, the data of the to-be-identified order behavior is analyzed through utilization of the analysis model, so a malicious order identification success rate can be improved, and a malicious order identification range can be expanded.

The invention discloses a determining method for trace silicon in cobaltosic oxide. After a cobaltosic oxide sample is subjected to microwave digestion, an internal standard method is adopted for calibrating matrix interference, and an inductive coupling plasma emission spectrometer is used for determining the content of silicon in the determined sample. A test proves that the treatment for the sample according to the determining method provided by the invention only costs about 1 hour, the determining time is greatly shortened, the working efficiency is increased, the accuracy of determined silicon content result is high, the precision is excellent, the determination for trace silicon in cobaltosic oxide can be met and the determining method has the characteristics of low analysis cost, accuracy and practicality.

The invention is a method for determining polycyclic aromatic hydrocarbons in sludge. Basing on an analyzing method of polycyclic aromatic hydrocarbons in conventional soil which includes steps of soxhlet extraction, column chromatography and gas mass spectrometry detection, a process that concentrated sulfate is used to wash eluent is added after the column chromatography. The method of the invention can eliminate a great amount of organic compounds in sludge and reduce interferences of other organic compounds on the polycyclic aromatic hydrocarbons content detection. The sensitivity and the accuracy of the gas mass spectrometry detection on the polycyclic aromatic hydrocarbons are improved.

A core-shell type gold / mesoporous silicon-carbon composite nanomaterial, preparation method and application, the invention is characterized by synthesizing a core with gold nanoparticles as the inner core and an ordered mesoporous structure silica-surfactant as the outer shell Shell-type nanomaterials are prepared by in-situ carbonization of surfactants in mesoporous silica shells to prepare core-shell nanomaterials with gold nanoparticles as cores and mesoporous silicon-carbon composite structures as shells. The material has the characteristics of high specific surface area, high pore volume, uniform and ordered mesoporous structure silicon carbon shell coating and controllable shell thickness. This nanomaterial is mainly used as the matrix of surface-assisted laser desorption ionization mass spectrometry, which can avoid the background interference of traditional organic matrix in the low molecular weight range, and realize the efficient laser desorption ionization of the compound to be tested.

The invention belongs to the technical field of drug detection, in particular to a method for simultaneously detecting 12 kinds of alkaline drugs in hair. The method for simultaneously analyzing 12 kinds of psychoactive drugs in hair is simple, rapid and has a wide analysis range. Compared with the existing methods, the present invention saves the liquid-liquid extraction process in the sample pretreatment, and the whole process can be completed within 1 hour without increasing the time; on the contrary, when multiple samples are analyzed, it shows high-throughput Advantage. The technical solution provided by the invention can realize external pollution detection and real-time quantitative analysis of actual cases, and is convenient for data accumulation of positive cases. Therefore, the method for simultaneously detecting 12 kinds of basic drugs in hair of the present invention has excellent selectivity, linear correlation, precision and accuracy, and at the same time, the LOD and LOQ are low enough, so that it can successfully be used for inferring the source of drugs and correctly distinguishing them. It provides technical support for illegal abuse and clinical drug use, and has considerable market potential.

A method based on microblogs for analyzing audience rating situations of television programs comprises the following steps of (1) establishing a word bank, (2) establishing a microblog-television program map, (3) carrying out data analysis, and (4) revealing visual results, wherein analyzed results of the step (3) is revealed through a report form and a graphic form. The method based on the microblogs for analyzing the audience rating situations of the television programs has the advantages of being wide in analyzing range, comprehensive in analyzing content, flexible in analyzing process, and high in analyzing efficiency.