8 results about "Raman scattering spectra" patented technology

The invention pertains to the technical fields of bioanalytics and agriculture, and relates to a method and to an assembly for in-ovo sexing of bird eggs. The aim of the present invention is to provide a method and an assembly by means of which in-ovo sexing of bird eggs is achieved with a stable predictive accuracy of the sex and which are simple and cost-effective. The aim is achieved using a method and an assembly in which a fertilised bird egg incubated for 3 to 9 days is irradiated with at least two light-emitting laser beam sources with different excitation waves after the shell is opened, the captured and processed fluorescence scattering spectra and Raman scattering spectra being used, as complementary spectra associated with the different excitation wavelengths, to determine a classification value, and the sex being determined by comparing the determined classification value with an intrinsically determined threshold value. The method and the assembly can be used for sexing farm poultry.

This application discloses a sample detection system and method, applied in the field of spectral analysis technology. The system includes a light projection module, a sample carrier, a signal acquisition module, and a sample detection module. The light projection module emits a laser signal of the target wavelength and focuses it onto the sample to be tested on the sample carrier. The signal acquisition module uses a front-facing light-receiving probe and at least one side-facing light-receiving probe to acquire Raman scattering and Rayleigh scattering signals generated by the sample to be tested. The sample detection module performs spectral composition analysis on the acquired scattered light signals from the sample to obtain the Raman scattering spectrum, and detects the sample based on the Raman scattering spectrum. This application overcomes the drawback of weak signal intensity in related technologies, effectively improving Raman signal intensity, especially for rough samples, enabling efficient and accurate detection.

The application discloses a kind of water tower wall condensate water quality detection method and system, it is related to industrial water quality detection technical field, including obtaining target water tower real-time running environment data set, calculating the temperature gradient of each monitoring area in inner wall, combining humidity to predict condensate water active condensation region, in the region arrangement micro water quality sampling array timing collection water sample, after physical pretreatment, through multichannel parallel spectrum analysis device synchronous acquisition ultraviolet absorption, near infrared transmission and Raman scattering spectrum data, to multidimensional spectrum data fusion analysis and extract feature, generate multidimensional water quality feature vector, construct space water quality image.This method can match condensate water actual generation area sampling, through multispectral fusion analysis complete characterization water quality information, realize the accurate detection of water tower wall condensate water quality and space distribution image construction.

A method for measuring with a primary reference standard and for potentially adjusting and / or calibrating a high-sensitivity spectrometer via a computer includes the following steps: using a high-purity H₂O solution as a primary standard stored in a container; exciting the standard using at least one excitation laser; collecting and measuring Raman scattering from the standard using a detector of the instrument, in the form of Stokes, anti-Stokes, or both; applying a correction method to correct for variations in Raman scattering caused by the container to improve measurement accuracy; measuring and integrating the intensity over a fixed detection bandwidth of the Raman scattering spectrum to calculate the instrument's optical efficiency; and potentially adjusting and / or calibrating the high-sensitivity spectrometer based on the calculated instrument optical efficiency.

Provided is a novel method that makes it possible to determine the quantity of a thermoplastic resin contained in a molded article.　An embodiment of the present invention provides a method for determining the quantity of a thermoplastic resin A contained in a molded article, said method comprising a step C1 and a step C2. Step C1 is for measuring, from a Raman scattering spectrum of the molded article, the intensity of a Raman scattering peak A which is attributed to the thermoplastic resin A. Step C2 is for referring to a calibration curve which indicates the correlation between the content ratio of the thermoplastic resin A and the intensity of the Raman scattering peak A, and calculating, from the intensity of the Raman scattering peak A measured in step C1, the content ratio of the thermoplastic resin A contained in the molded article.　Another embodiment of the present invention provides a method for determining the quantity of a thermoplastic resin A contained in molding waste, said method comprising a step A, a step B, and a step C. Step A is for pulverizing molding waste that comprises a thermoplastic resin to obtain a pulverized product. Step B is for molding the pulverized product to obtain a molded article. Step C is for determining the quantity of the thermoplastic resin A contained in the molded article.　Another embodiment of the present invention provides a method for producing a recycled resin, said method comprising said step A, said step B, said step C, and a step D. Step D is for obtaining a recycled resin from a raw material that contains said pulverized product (a) and / or a pulverized product (b) which is obtained by pulverizing said molded article.

The application discloses a COD water pollution analysis system and belongs to the technical field of water pollution detection. The system solves the problem of false COD detection caused by the use of specific auxiliaries and dyes in printing and dyeing enterprises, which leads to high LAS and high dye composite interference in wastewater, false 48 mg / L masking real 78 mg / L exceeding standard water, and ecological disaster caused by misdischarge into a canal, and the problem of enterprise being punished and suspended production. The system comprises an optical coherence tomography module, a Raman spectrum detection module, and a dielectrophoresis photo-thermal micro-disturbance module. The optical coherence tomography module is used for emitting femtosecond laser and detecting interference signals to obtain depth-resolved scattering distribution of a sample. The Raman spectrum detection module is used for exciting and collecting Raman scattering spectrum of the sample for specific identification of dye and surfactant molecules. The dielectrophoresis photo-thermal micro-disturbance module is used for applying a controllable electric field and photo-thermal excitation to separate different pollutants and measure dielectric and thermal responses thereof. The multi-modal tomography Raman dielectrophoresis photo-thermal imaging combination of the application strips LAS dye interference, dynamically inverses true COD, and titrates a closed loop to avoid false standard reaching.

This application provides an online syngas component detection system and method for coupled gasification conditions, relating to the field of gas component detection technology. The system acquires the Raman scattering and laser absorption spectra of syngas at the same pipeline cross-section; determines process setting parameters for the concentration of carbon dioxide in the gasifying agent and the blending ratio of the coupled feedstock in the coupled gasification conditions; corrects the measured values ​​of hydrogen and carbon monoxide concentrations through component correlation constraints, while keeping the measured values ​​of carbon dioxide and methane unchanged, obtaining corrected multi-component concentration values; binds the corrected multi-component concentration values ​​to the sampling timestamp, and outputs an online detection data frame containing real-time concentration values ​​of hydrogen, carbon monoxide, carbon dioxide, and methane. This application can achieve accurate detection of multi-component concentrations of syngas under complex spectral interference conditions, thereby improving the reliability of online syngas detection.

This invention relates to the field of spectroscopic analysis technology, specifically to a method for molecular vibration and hydrogen bond network analysis. This method involves acquiring terahertz absorption spectra of samples at different temperatures; acquiring Raman scattering spectra of samples; constructing a unit cell model of the target peptide and calculating its theoretical vibrational spectrum; obtaining the evolution of frequency offset parameters and full width at half maximum (FWHM) parameters with temperature, and performing mathematical fitting; comparing the terahertz absorption and Raman scattering spectra with the theoretical vibrational spectrum to identify the molecular vibrational modes corresponding to each characteristic absorption and scattering peak; performing mode decomposition on the calculated multiple infrared active vibrational modes to quantitatively distinguish the contribution ratios of intermolecular translation, intermolecular rotation, and intramolecular vibration in each vibrational mode; and analyzing the relative changes in bond length and bond angle of intermolecular hydrogen bonds within the target peptide unit cell. This invention systematically analyzes the vibrational behavior of peptide molecules, especially KLVFF peptides.