7 results about "Chemical standard" patented technology

The invention discloses a calibration method of a nucleic acid quantitative fluorometer, which adopts a methylene blue aqueous solution with stable chemical property as a standard substance to replace a biological nucleic acid reagent, and verifies the optical performance of the nucleic acid quantitative fluorometer by constructing a linear response relationship of a chemical standard substance. The method comprises the following steps: preparing a methylene blue mother solution and a gradient calibration solution, and carrying out light-shielding standing and thermodynamic stabilization treatment; collecting a fluorescence signal by using a nucleic acid quantitative fluorometer to construct a standard curve; selecting a verification sample for reverse measurement, and calculating an indication error, a channel range and measurement repeatability; and finally, judging whether the calibration result is qualified or not through hierarchical logic including linear validity verification and metrological characteristic subentry verification. The problems that an existing RNA kit is high in calibration cost, poor in linearity and unstable in result are solved, and the method has the advantages of being low in cost, easy and convenient to operate, high in result confidence coefficient and the like.

This invention relates to the field of aerosol analysis technology, and in particular to a method for predicting and quantitatively detecting the relative correction factor of monomeric raw materials in aerosols. The prediction method includes: obtaining the molecular structure of the target monomeric raw material; calculating multiple predefined molecular structure descriptors; and substituting the molecular structure descriptors into a prediction model established through multivariate quadratic regression fitting to calculate the predicted relative correction factor of the target monomer. This invention also provides a quantitative detection method based on the prediction model. This method requires only molecular structure information to accurately predict the relative correction factor, completely eliminating dependence on expensive and scarce chemical standards, significantly reducing detection costs, simplifying the process, and improving the efficiency of quantitative analysis of aerosol components and product development.

The invention discloses a benzene series solid standard substance as well as a preparation method and application thereof, and relates to the technical field of chemical standard samples. The invention provides a benzene series solid standard substance. The benzene series solid standard substance comprises 75-98 parts of gel and 2-25 parts of a benzene series target object, the melting point of the gel is 60-100 DEG C. According to the invention, the specific type of gel is selected to adsorb the benzene series, so that the preparation of the solid standard substance capable of slowly releasing the benzene series is realized, the solid standard substance not only accords with the actual volatilization process in a use scene, but also exists in a solid form, and the transportation convenience, safety and stability are realized.

The application provides a petrochemical industry dangerous chemical warehouse area knowledge graph construction method based on documents, wherein the method constructs a mode layer and a data layer of the knowledge graph based on dangerous chemicals and dangerous chemical accident emergency disposal files; the mode layer is derived from dangerous chemical standard digitization and emergency response business logic, first finds out comprehensive abstract concepts in the field of dangerous chemicals, then continuously refines upper layer concepts into more specific lower layer concepts from top to bottom, defines concept entities, attributes and hierarchical semantic relationships from top to bottom, and constructs an accurate and structured hierarchical concept system architecture; the data layer is derived from bottom to top, extracts entity information and semantic associations based on deep learning from dangerous chemical specification files, academic literature and accident cases, and uses a twin neural network-based entity alignment model to fuse multiple knowledge graphs to form a comprehensive dangerous chemical warehouse area knowledge graph.

The invention relates to the technical field of concrete material analysis, and discloses a steel slag cement concrete structure safety test method and system. The method comprises the following steps: identifying heavy metals and sulfides in the steel slag by adopting multispectral cooperative detection, and establishing a chemical hazard evaluation reference; formulating a multi-axial dynamic loading scheme according to a chemical standard, and capturing the synergistic stress behavior of the steel slag particles and the cement matrix; designing temperature and humidity acid freezing composite environment parameters based on stress behaviors, and tracking a performance degradation track; steel slag-cement interface microcosmic detection is carried out on key nodes of the degradation track, and an interface damage mechanism is revealed; and carrying out correlation analysis on the chemical reference, the stress behavior, the degradation track and the damage mechanism to determine the structure safety state. The problem that a chemical-mechanical-environment-microcosmic multi-dimensional coupling damage mechanism in the steel slag concrete cannot be accurately identified is solved.

The present application relates to a kind of preparation methods of pure tantalum standard sample for trace element analysis, belong to the field of chemical standard sample preparation.The design ratio is added in potassium fluotantalate Quantitative aluminum nitrate, calcium nitrate, chromium nitrate, copper nitrate, iron nitrate, manganese nitrate, ammonium molybdate, niobium pentachloride, nickel nitrate, tin tetrachloride, ammonium hexafluorotitanate, ammonium paratungstate, and potassium chloride is added in proportion, after being mixed uniformly, potassium fluotantalate is reduced using sodium heat reduction process, the obtained tantalum metal particles are coarsely crushed by jaw crusher, purified in rotary pickling tank, then high-temperature heat treatment is carried out in vacuum induction furnace, and then hydrogenation, crushing, dehydrogenation, purification, grinding, homogenization treatment and tabletting are carried out to obtain pure tantalum standard sample candidate material.Classical chemical method and instrument method are used to carry out uniformity test, stability test and value determination on each value element in pure tantalum.

The application discloses a kind of functional coating anti-fouling agent dynamic release visual detection method for ship, and the present application aims at solving the problem that existing detection method is difficult to measure anti-fouling agent in anti-fouling coating.The detection method is as follows: 1, anti-fouling agent in functional coating for ship is used as chemical standard;2, Raman spectrometer is used to determine tracking peak;3, functional coating is detected by Raman spectrometer, and Raman single-window test is carried out on calibration point to obtain tracking peak intensity of different calibration points;4, soak in seawater environment, and carry out Raman single-window test on the same position of calibration point after corrosion;5, based on optical principle, the concentration range is adjusted by adjusting RGB value, and the tracking peak intensity measured before and after corrosion is converted into color concentration information.The visual detection method can realize original position point measurement, and the detection result has high visualization degree, and the process before and after anti-fouling agent dynamic release is intuitively displayed.