205results about "Measurements using NMR spectroscopy" patented technology

Embodiments include a system for material detection and identification. The system may include an RF transmit device configured to transmit into an environment an RF signal at a resonance frequency. The system may also include an RF receiver device configured to receive a response signal from the environment. The system may further include a communication device connecting the RF transmit device and the RF receiver device. The communication device may include a control module. The system may include a geolocation device. The control module may be configured to receive geolocation data from the geolocation device, analyze the response signal for resonance characteristics that indicate a presence of a material, and identify the material to a user when the presence of the material is indicated by the resonance characteristics. Methods for material detection and identification are also described. Methods may involve obtaining geolocation data.

The invention relates to the technical field of rock sample oil-water saturation determination based on a nuclear magnetic technology, and provides a shale sample oil-water saturation intelligent determination method based on a two-dimensional nuclear magnetic technology, and the method comprises the following steps: collecting volumes, echo signals and signal-to-noise ratios of a preset number of rock samples; marking a target rock sample and a comparison rock sample, and determining a volume influence comprehensive interference degree and a noise amplification coefficient of a target echo signal; obtaining a denoised target echo signal according to the target echo signal, the volume of the rock sample corresponding to the target echo signal and the noise amplification coefficient of the echo signal; according to experiments of rock sample two-dimensional nuclear magnetic oil-water distribution, pore attributes and the like, a two-dimensional nuclear magnetic T1-T2 map is divided into an invalid pore area and an effective pore area of a rock sample corresponding to the two-dimensional nuclear magnetic T1-T2 map and an oil-water distribution area of the effective pore area, a fluid close to reservoir oil-water distribution is adopted to recover a two-dimensional nuclear magnetic spectrum of the rock sample, and the oil-water content corresponding to a nuclear magnetic signal is extracted; and obtaining a rock sample oil-water saturation determination result based on the nuclear magnetic technology.

The invention relates to a Spin Exchange Relaxation-Free (SERF)-based magnetometer system (100) for detecting ultra- weak magnetic fields, particularly suited for bio¬ sensing applications such as MEG, MCG, and MRI. The system operates at room temperature and includes a VCSEL (101) emitting dual beams tuned to Rubidium-87 transitions, a microfabricated vapor cell (102) with LIAD-based heating (103), and an optical assembly (104) for polarization control. A detection unit (105) converts Faraday rotation into electrical signals, enhanced by lock-in amplification. Magnetic shielding (106), thermal management (107), and relaxation mitigation maintain SERF conditions. A calibration subsystem (109) and embedded machine learning module (110) optimize sensitivity in real time. The compact, cryogen-free architecture enables portable and wearable applications. The invention achieves femtotesla-level sensitivity while overcoming limitations of conventional SQUID-based systems, making it suitable for clinical and field deployments.

The invention provides a denoising method for a magnetic resonance spectrum based on Transform, and relates to the technical field of signal processing and artificial intelligence, and the method comprises the steps: firstly obtaining a noisy free induction decay signal (FID) and a corresponding label signal, constructing a training data set, converting the signal into a frequency domain signal through fast Fourier transform, and carrying out the amplitude normalization; a real part and an imaginary part of a frequency domain signal are respectively projected to a high-dimensional feature space, and are respectively sent to a multi-head self-attention mechanism-based multi-layer Transform encoder through two channels, so as to capture the global correlation of a long sequence. And the coded output is separated and decoded, a real part and an imaginary part are recovered respectively, and a denoised complex frequency domain signal is obtained through combination. In the training process, a complex mean square error is used as a loss function, and dynamic learning rate scheduling and an early stop mechanism are combined to improve convergence stability and model training efficiency.

The determination of chemical mixture components is vital to a multitude of scientific fields. Oftentimes various spectroscopic methods are employed to decipher the molecular composition of these complex mixtures. The sheer density of spectral features of different molecules present in such observations may make unambiguous assignment to individual species using these methods challenging. Yet, components of a mixture are commonly chemically related due to environmental processes or shared precursor molecules. Therefore, along with investigating the spectroscopic signals, analysis of the structural and chemical relevance of a molecule is an important consideration when determining which species are present in a mixture. Machine-learning molecular embedding methods are used with a relevance module to determine the likelihood of a molecule being present in a mixture based on the other known species, chemical priors, and spectroscopic information. By incorporating this metric, the mixture components can be identified with extremely high accuracy (∼ 97%).

The invention discloses a high-fidelity magnetic resonance spectrum reconstruction method, and relates to a magnetic resonance spectrum reconstruction method. Comprising the following steps: 1) acquiring a to-be-reconstructed magnetic resonance spectrum time domain signal; 2) proposing a magnetic resonance spectrum reconstruction model based on symmetric rank-one Hankel matrix decomposition; and 3) solving the model in the step 2) by using a projection gradient algorithm to obtain a magnetic resonance spectrum time domain signal, and performing Fourier transform on the magnetic resonance spectrum time domain signal to obtain a final spectrum signal. According to the method, the high-fidelity reconstruction of the magnetic resonance spectrum is realized based on the symmetry of the Hankel matrix and the rank-one characteristic of the magnetic resonance spectrum signal.

Methods and systems with 129Xe dynamic spectroscopy with a fitting function that includes one or more non-Lorentzians, optionally with a barrier Voigt, and signal processing for identifying cardiogenic oscillations for evaluating disease states, use in drug discovery or monitoring disease status.

The invention discloses a magnetic resonance spectrum reconstruction method and device based on an unsupervised feature extraction network. The method comprises the following steps: constructing a simulated nuclear magnetic spectrum data set according to nuclear magnetic spectrum features in combination with a related mathematical model; performing normalization processing and augmentation processing on each simulated nuclear magnetic spectrum sample in the simulated nuclear magnetic spectrum data set to obtain a processed simulated nuclear magnetic spectrum data set; constructing a feature extraction network and carrying out MoCo learning training to obtain a trained feature extraction network; a magnetic resonance spectrum reconstruction model is constructed and trained, a trained magnetic resonance spectrum reconstruction model is obtained, and the feature extraction module is a second encoder in the trained feature extraction network; and obtaining nuclear magnetic spectrum data to be reconstructed, carrying out normalization processing on the nuclear magnetic spectrum data to obtain processed nuclear magnetic spectrum data, inputting the processed nuclear magnetic spectrum data into the trained magnetic resonance spectrum reconstruction model, and predicting to obtain a corresponding one-dimensional spectrum. The reconstruction effect of the original reconstruction network is improved, and the processing speed is high.

The disclosure discloses a chemical-shift-encoded imaging method and apparatus based on phase unwrapping, and a device. Comprises: performing phase conversion on the phasor candidate solution for the purpose of enabling a difference between a correct solution and an inverse decomposition solution of the phasor candidate solution to be within a set range, and on the basis of a phase unwrapping method, performing determination to obtain an intermediate phasor solution; determining a true phase of the intermediate phasor solution, and converting the true phase to a phasor candidate solution space to determine a target phasor solution; and on the basis of the target phasor solution, determining a first chemical component signal and a second chemical component signal, and on the basis of the first chemical component signal and / or the second chemical component signal, performing chemical-shift-encoded imaging.

The present invention discloses a method for effectively disassembling a nuclear magnetic resonance relaxation time spectrum, comprising the following steps: S1, constructing a probability density function of pores and caves according to the distribution characteristics of pores and caves in a core nuclear magnetic resonance T2 spectrum; S2, setting the sum of the nuclear magnetic spectrum areas to 1, randomly generating n data points within the interval of pore distribution, and dividing all the data points into multiple data sets by screening peak values; S3, calculating a likelihood function; S4, calculating a priori probability that each data point belongs to a pore or a cave; S5, updating various parameters in an iterative method using the priori probability; and S6, calculating a new logarithmic likelihood based on the updated parameters, and updating the expected E in the iterative method. p and E v , expected E p and E v Repeat steps S2 to S5 until the convergence condition is met and the iteration is terminated. The present invention combines nuclear magnetic resonance testing with an iterative method to decompose the nuclear magnetic resonance spectrum, thereby improving the accuracy of the spectral shape distribution.

An article includes a cylinder of single crystal sapphire for use during solid state nuclear magnetic resonance (SSNMR) measurements. The axis of the cylinder is aligned with an axis of symmetry of the single crystal. The cylinder is configured to rotate at a known angle and known fraction of an angular velocity as the sample during operation of the SSNMR system. In some uses, a current angle of a stator is determined based on separation of peaks in a measured signal from aluminum atoms in the sapphire crystal. Stator orientation is adjusted until the current angle is within a desired tolerance of a target angle, including one different from a magic angle.

The invention relates to a nuclear magnetic resonance (NMR) probe head (10) for use in a nuclear magnetic resonance (NMR) spectrometer, comprising a mechanical device (11), characterized in that the mechanical device comprises an actuator platform to which an actuator is attached, the platform being movably connected to a carrier stage equipped with three actuating elements arranged thereon, the carrier rack enables the carrier rack to move the actuator platform to any required spatial position relative to the adjusting rod; the engagement system comprises a receiving element arranged on the lower end of each adjustment lever and an insertion element arranged on the top end of the actuator, the insertion element being designed and adapted to fit into any one of the receiving elements in order to mechanically couple the corresponding adjustment lever with the actuator, thus, transmission of rotational and / or translational motion from the actuator to the adjustment lever is provided. The invention also relates to an NMR spectrometer.

The present invention discloses a small ultra-low field nuclear magnetic resonance spectrometer, which includes a sample flow module for driving a liquid sample to flow between a polarization region and a detection region; a hyperpolarization module for polarizing the liquid sample; a probe and sample fixation module for fixing a sample tube in the detection region and a nuclear magnetic detection module; a pulse application module for applying a pulse to the liquid sample to rotate the nuclear magnetization vector of the sample to the transverse direction and perform free evolution of the sample spin; a nuclear magnetic detection module for detecting the free evolution spin signal of the liquid sample and converting it into a voltage signal; a magnetic shielding module for shielding the geomagnetic field to ensure an ultra-low field environment; and a timing control module for controlling the operation of each module and collecting the voltage signal. Through the combination of each module, the detection process of the present invention is carried out in a magnetic shielding environment, eliminating the dependence on a strong magnetic field of a traditional nuclear magnetic resonance spectrometer, effectively reducing the system complexity and cost; making the overall structure simple, small in size, easy to move, and adaptable to nuclear magnetic detection in various environments.

In a general aspect, a magnetic resonance system performs a magnetic resonance measurement. In some examples, a magnetic resonance system includes data processing apparatus and a superheterodyne spectrometer system. The data processing apparatus generates digital intermediate frequency (IF) signal information based on a pulse profile. The digital IF signal information is configured to suppress an image sideband in a magnetic resonance control signal. The superheterodyne spectrometer generates the magnetic resonance control signal based on the digital IF signal information.

The utility model relates to the technical field of single-chip microcomputers, in particular to a nuclear magnetic resonance spectrometer circuit based on a single-chip microcomputer, which comprises a bottom box, a circuit chip is mounted in the bottom box, circuit break protectors are mounted on the left side and the right side of the circuit chip, pins are uniformly mounted on the outer sides of the circuit break protectors, and the circuit break protectors are connected with the bottom box. A top box is installed on the upper side of the bottom box, a temperature sensor is installed on the rear side of the top face of the top box, heat dissipation holes are evenly formed in the middle of the top face of the bottom box, waterproof breathable films are arranged in the heat dissipation holes, and a controller is installed on the front side of the top face of the bottom box. Heat dissipation fins are arranged on the top face of the bottom box and located on the front side and the rear side of a heat dissipation hole, a circuit breaker protector, a temperature sensor and a controller can enable the single-chip microcomputer not to run any more in an automatic circuit disconnection mode when the single-chip microcomputer is overheated, and therefore heat generated by the single-chip microcomputer due to overwork can be reduced, and the service life of the single-chip microcomputer is prolonged. And the service life of the single-chip microcomputer is longer.

A method for relaxation time determination includes delivering a series of radio frequency (RF) pulses in a sequence to a specimen having a magnetic resonance spin system. The pulses are separated by equal time intervals and the sequence has a duration comparable or greater than a spin-lattice relaxation time for the spin system. The method includes receiving a response after each RF pulse in the series. The response includes a free induction decay and spin echoes. The method includes generating a series of single point imaging (SPI) images from each response. Each SPI image of the series corresponds to an RF pulse in the series. The method includes converting SPI images to a spin-spin relaxation map and a spin-lattice relaxation map.

The invention discloses a Hankel singular value decomposition-based magnetic resonance spectrum water peak modeling and post-processing method. The method comprises the following steps of: acquiring original multi-channel FID (Flame Ionization Detector) signals by a PRESS sequence; combining multi-channel signals, and performing frequency correction and eddy current correction; reconstructing and deducting a time domain water peak model, and executing exponential filtering processing; and performing baseline correction by adopting an asymmetric least square method to obtain a final spectrogram. Accurate modeling and removal of residual water peaks are realized by utilizing Hankel structure matrix singular value decomposition, adaptive baseline correction is performed by introducing an asymmetric least square method, interference of the residual water peaks is effectively reduced, the baseline smoothness of a spectrogram and the distinguishability of metabolic peaks are improved, and the method can be used for realizing accurate modeling and removal of the residual water peaks under the condition of not depending on additional modulation of a collection end or increasing of sequence complexity. The time domain signals are subjected to structured matrix decomposition to realize accurate modeling and removal of residual water peaks, the signal-to-noise ratio and metabolic peak resolution of the spectrogram are remarkably improved, the operation is stable, the robustness is high, and the obtained final MRS spectrogram can meet clinical requirements.

The application discloses a kind of nuclear magnetic resonance spectrum peak position detection method, device and readable medium, by obtaining two-dimensional spectrum based on spin echo phase change spectrum, SEcho-Net neural network is constructed and trained, SEcho-Net neural network includes coding layer and decoding layer, coding layer includes indirect dimension down-sampling module and direct dimension down-sampling module, indirect dimension down-sampling module is used to compress two-dimensional spectrum based on spin echo phase change spectrum, and first feature vector is obtained, first feature vector is input in direct dimension down-sampling module and extracts key information related to spectrum peak position, and obtains key feature, and decoding layer includes direct dimension up-sampling module and step-by-step dimension reduction module, direct dimension up-sampling module is used to recover spectrum information from key feature, and second feature vector is obtained, and second feature vector is input in step-by-step dimension reduction module and carries out feature extraction, and obtains spectrum peak pure chemical shift position information.The method has low experimental requirements, and can accurately locate spectrum peak position.

The method for analyzing the content of D-lactic acid repeating units in polylactic acid of the present disclosure is characterized in that without special chemical treatment of polylactic acid, the content of D in polylactic acid can be quickly and accurately analyzed by using NMR data of polylactic acid and hypothetical polylactic acid.

A system and method include an analysis control unit configured to receive nuclear magnetic resonance (NMR) data of a sample. A reference database is in communication with the analysis control unit. The reference database stores standard data including information regarding a plurality of standards for chemical compounds, and may also store information regarding quantum mechanical spectral analysis (QMSA) model data and test method data. The analysis control unit is further configured to compare the NMR data with the standard data to determine if the NMR data is associated with one of the plurality of standards, and identify one or more differences between the NMR data and the one of the plurality of standards.

An apparatus for characterizing a sample using nuclear quadrupole resonance (NQR) spectroscopy is described whereby a plurality of NQR detectors operate in tandem, whereby each NQR detector is optimized to operate within a designed frequency range, having the means to shuffle the sample from one NQR detector to the next such as an automatic sample changer, having the means of controlling the frequency and amplitude of the radiofrequency field generated by the NQR detector through motors controlling variable capacitors or through the use of varactor diodes, digital capacitors, or digital potentiometers, having a plurality of Zeeman modulation coils to create a magnetic field surrounding the sample which may be arranged to minimize stray fields, such as a toroid, having the means of operating the spectrometer in frequency modulation mode, and having the capability of configuring the device for either continuous-wave NQR or pulsed NQR.

Systems and techniques are provided for determining a time zero echo of a nuclear magnetic resonance (NMR) sequence. An example method includes obtaining, via an NMR tool in a borehole, echo waveforms associated with refocusing pulses and a free induction decay (FID) waveform associated with an excitation pulse; determining echo values based on the echo waveforms and an apparent time-zero echo value based on the FID waveform, the apparent time-zero echo value representing a time zero echo; applying a correction factor to the apparent time-zero echo value to yield a corrected time zero echo value; and determining a spectrum associated with a sample based on an inversion performed on the corrected time zero echo values and the set of echo values before or after a conversion of the corrected time zero echo value and the set of echo values to porosity units, the conversion of the corrected time zero echo value and the set of echo values being based on one or more conversion factors.

An NMR-DNP probe head (1) comprises a probe holder (2) for receiving a probe vessel (4) containing a probe substance surrounded by an RF coil (3), a temperature control device for temperature control of the probe substance, a microwave guide (5) for supplying microwave radiation into the probe volume, and an illumination device having a light guide (6) for photoinduced electron excitation of probe substance in the probe volume.The probe head is characterized in that the temperature control unit includes a temperature control channel (7) through which temperature control fluid can be supplied to the sample vessel for temperature control of the sample substance during NMR measurement operation, that the sample-side end of the optical fiber is arranged in the temperature control channel, and that a deflecting mirror (8) is arranged in the temperature control channel between the sample-side end of the optical fiber and the sample vessel, which directs light exiting the optical fiber onto the sample substance in the sample volume of the sample vessel. This allows for additional light excitation with an adjustable beam distance to illuminate the NMR sample within the probe head without negatively affecting the magnetic field or the RF. Furthermore, optical excitation in the UV range is also possible. The optical fibers are integrated into the probe head with an extremely small bending radius.

The present invention relates to a method for obtaining a 1D 1H-NMR spectrum of metabolites in a bodily fluid sample, the method comprising the step of acquiring 1D 1H-NMR data which involves: a) suppressing signals due to water; and b) suppressing signals due to proteins by using T2 relaxation filtering. The present invention further relates to a method method of determining if a subject is at risk of developing a disease, e.g. cardiovascular disease or diabetes type 2, the method comprising the steps of a. providing concentrations of metabolites determined in the saliva of the subject; and b. determining the risk of developing a cardiovascular disease or diabetes type 2 by using a previously trained mathematical model based on input provided in a.

Molecular rotational resonance (MRR) spectroscopy is a structurally-specific, high-resolution spectroscopy technique that can provide accurate reaction process data with finer time resolution than existing techniques. It is the only analytical technique that can make online chiral composition measurements. This makes it especially useful for online reaction monitoring, which is done today by manually pulling off samples and measuring samples offline and takes 3-4 hours per measurement. Conversely, an MRR spectrometer can resolve isomers in about 10 minutes when fed with a low-volatility sampling interface that connects directly to the reaction line. The sampling interface measures a precise sample of the reaction solution, boils off the solvent to concentrate the analyte, volatilizes the analyte, and injects the volatilized analyte into the MRR spectrometer's measurement chamber for an MRR measurement. The sample concentration and volatilization happen quickly and without any extra sample preparation.

In a method for providing a predictive model for spectroscopy, a response value indicating a physical and / or chemical property of a product or material is predicted from one or more spectral values indicating physical properties of the product or material. For this, spectral measurements of samples of the product are obtained, the spectral measurement including spectral values. Then the spectral values are searched in a database, resulting in data that maximizes the accuracy of the predictive model for spectroscopy of other samples of the product or material. Further a method calibrates a spectroscopic device, a spectroscopic device has installed therein a method for providing a predictive model for spectroscopy, and a computer program product includes program for a processing device including software code portions for performing a method for providing a predictive model for spectroscopy.

The invention relates to a method for the quantitative determination of the components of a solution. The method comprises at least the following steps: - providing a sample, - providing a reference solution comprising at least a first standard in the form of a 1H-NMR active substance and a second standard in the form of a metal salt of a metal with an atomic number ≥ 10, wherein the solvent is, in particular, a deuterated liquid, - dissolving the entire sample in the reference solution to obtain an analytical solution, - analyzing the analytical solution by means of 1H-NMR spectroscopy, - applying a defined volume of the analytical solution to a support and allowing the analytical solution to dry, and subsequently - analyzing the dried analytical solution by means of XRF spectroscopy, - evaluating the data obtained in the analyses. The method according to the invention is advantageously simple and requires only one sampling procedure.Weighing the sample taken is not necessary to determine its composition.

In part, the disclosure relates to an analysis system in communication with one or more sources of brain region or brain tissue-specific spectroscopy data; and computer-executable logic, encoded in memory of the analysis system, for interpreting brain region or brain tissue-specific spectroscopy data, where the computer-executable logic is configured for execution of: processing the brain region or brain tissue-specific spectroscopy data to obtain one or more spectroscopic graphical representations of the brain region or brain tissue-specific spectroscopy data; co-registering such representations with regions of interest in imaging data obtained relative thereto, where the imaging data is obtained simultaneously with the spectroscopy data; and displaying a first visual representation of co-registered brain region or brain tissue-specific spectroscopy data and imaging data. The visual representation may include one or more views of brain tissue and a spatially correlated map of changes in brain region or tissue-specific spectroscopy data.

The disclosure relates to a system and a method of analysing a physiological condition in an analyte. In particular, the disclosure pertains to systems, components of such systems, and methods of analysing a physiological condition in an analyte using hyperpolarization (HP) and magnetic resonance (MR) techniques.