11 results about "Infrared spectroscopy technique" patented technology

The invention relates to the technical field of crop breeding, and discloses a rapid breeding method of high-dietary-fiber glutinous highland barley, which comprises the following steps: seed pretreatment, chemical mutagenesis treatment, culture solution preparation, greenhouse culture and early comprehensive screening, rapid genetic homozygosis and high-generation accurate phenotype selection. By preparing mutagenesis liquid with specific components to induce seeds, a chemical mutagenic agent contained in the mutagenesis liquid can initiate directional variation of genetic materials of the highland barley seeds, so that the genetic basis of high dietary fibers and waxy characters is widened, and rich variant groups are provided for subsequent screening; meanwhile, in the greenhouse culture and early comprehensive screening stage, the content of beta-glucan in seeds of a single plant is subjected to nondestructive measurement by utilizing a near infrared spectrum technology, so that high-throughput and low-cost quality primary screening on a huge group in the early generation of breeding is realized, and the bottlenecks that a traditional chemical detection method is long in period, high in cost and cannot be used for early generation selection are overcome; therefore, the screening efficiency of the germplasm resources is improved.

This invention relates to the field of agricultural product sorting technology, specifically a fully automatic near-infrared spectroscopy online detection and sorting system. It includes a conveying mechanism and an air pump located on the side of the conveying mechanism. An image acquisition device is installed at the upper end of the conveying mechanism, and a sampling detection mechanism is installed on the side of the image acquisition device. A flipping mechanism is installed inside the conveying mechanism and below the image acquisition device. By designing a continuously operating conveying mechanism, walnut products can quickly reach the detection area. Simultaneously, the image acquisition device and the sampling detection mechanism are integrated into the system, allowing both to simultaneously detect the product, shortening the detection time and achieving efficient detection. Considering that acquiring images from a single angle may not fully capture product information, a flipping mechanism is designed to acquire product images from different angles. The sampling detection mechanism performs sampling detection on the product, and combined with near-infrared spectroscopy technology, more parameter information of the product is obtained, thereby improving the accuracy of the detection.

This disclosure provides transabdominal fetal oximetry (TFO) that uses frequency-modulated continuous-wave (FMCW) time-domain near-infrared spectroscopy to measure time-resolved reflectance values of light signals collected from a maternal-fetal multilayer tissue structure. In various embodiments, the disclosed FMCW time-domain near-infrared spectroscopy is configured to function as an optical interferometer that uses two frequency-swept laser sources of different center wavelengths λ1 and λ2 as probe lights to detect optical property in vascular tissues of the maternal-fetal multilayer tissue structure. The FMCW near-infrared spectroscopy is configured to collect light signals returned from the multilayer structure and generate a time-resolved reflectance curve based on the collected light signals.

The invention relates to the technical field of oil wastewater separation and trace testing, and discloses an infrared spectrum quantitative method for trace hexafluorophosphate in polylactic acid fiber, which comprises the following steps: firstly, pressing loose fiber into sheets, and carrying out infrared spectrum testing by adopting an attenuated total reflection mode to effectively enhance the acquisition intensity and stability of infrared signals; secondly, in a data processing stage, through accurately extracting a characteristic infrared signal of hexafluorophosphate and systematically determining an optimal baseline correction method of an internal standard peak and a characteristic peak and an integral range selection skill, on the basis of a relation between a characteristic peak area ratio and the concentration, the detection sensitivity of the method is improved; according to the method, a quantitative model conforming to the Lambert-Beer law is established, matrix interference can be eliminated to the maximum extent, the accuracy of a quantitative result is ensured, and the problem that trace hexafluorophosphate lower than 5% on the fiber surface is difficult to accurately and rapidly quantify by an existing infrared spectrum technology and the accuracy of a quantitative result is low is solved. And a standardized analysis process for effectively eliminating matrix interference is lacked.

The utility model discloses a coal quality analyzer based on infrared spectrum technology concretely relates to coal quality analyzer technical field, including the coal quality analyzer with infrared spectrum technology, the coal quality analyzer top is equipped with the rotating platform, and the rotating platform inside is equipped with the storage cup for containing coal material, the storage cup outside is equipped with the auxiliary part for preventing light interference, the auxiliary part includes the sunshade of being equipped in the storage cup top, and the sunshade is sleeved in the rotating platform outside, the sunshade inside is equipped with the sound insulation cotton. The utility model discloses a sunshade is sleeved in the rotating platform outside, and in this way can be by the sunshade to the coal material is shielded, effectively blocks the sundry light of outside world, ensures that the coal quality analyzer only accepts the radiation signal of coal material itself, and the sound insulation cotton in the sunshade can absorb the vibration noise in the environment, reduces the indirect interference of noise to the coal quality analyzer, thereby improves the detection precision to the coal material.

This invention discloses a data analysis-based method for maintaining VIGS activity in chili pepper fruits, belonging to the technical field of VIGS activity maintenance in chili pepper fruits. The method includes the following steps: Multimodal data acquisition: After VIGS inoculation of chili pepper fruits, a multimodal sensor array is deployed to continuously collect environmental factor data of the microenvironment where the fruit is located at a preset first frequency. This invention, by deploying a multimodal sensor array, achieves real-time and continuous acquisition of microenvironmental factors and physiological state data of chili pepper fruits. Combined with near-infrared spectroscopy and a self-calibration mechanism, it significantly improves the estimation accuracy of the target gene silencing efficiency index and the robustness of data acquisition. Based on a nonlinear mixed-effects model and Bayesian parameter inference method, this invention constructs an individualized dynamic decay model of VIGS silencing activity, which can update the silencing efficiency decay curve of individual fruits in real time, accurately predict the remaining maintenance time, and improve the targeting and effectiveness of regulation.

The present application relates to non-invasive blood glucose detection technology, and particularly relates to a blood glucose detection method and a blood glucose detector for a non-invasive blood glucose meter. The blood glucose detection method for the non-invasive blood glucose meter comprises the following steps: collecting near-infrared light data and mid-infrared light data and calculating corresponding weight coefficients; obtaining a predicted blood glucose value by using a blood glucose detection model, calculating a credibility, comparing the credibility with a preset credibility threshold, and performing corresponding operations; and obtaining a blood glucose health assessment result by using a blood glucose health assessment model. The present application combines near-infrared spectroscopy technology and mid-infrared spectroscopy technology, and considers the influence of environmental factors in real time, calculates the weight coefficients of the near-infrared light data and the mid-infrared light data respectively, adjusts and optimizes the analysis of the spectral data, provides more accurate blood glucose detection results, and ensures that reliable blood glucose measurement values can be obtained under different environmental conditions.

The present application relates to the technical field of atmospheric pollution monitoring, and discloses a plant unorganized emission monitoring and early warning platform based on infrared spectrum technology. In order to solve the problems of analysis distortion caused by spectral baseline distortion in traditional monitoring and lack of adaptive tracing ability of fixed early warning threshold. The platform edge server cascades a spectrum reconstruction deconvolution module, a three-dimensional inversion risk module and an adaptive early warning module; a one-dimensional convolution network is used to jointly reconstruct high-fidelity spectrum and separate multi-component gas by using an adaptive least square method; a three-dimensional leakage source strength is inverted based on a spatial sparse prior Markov chain Monte Carlo engine; and early warning is dynamically determined in combination with a double cumulative sum algorithm. The present application is used for gas monitoring in complex industrial areas, and can accurately locate and adaptively prevent false alarms.

The present application mainly relates to the technical field of near-infrared spectroscopy. In order to solve the problem that the conventional wavelength calibration method of MEMS Fabry-Perot cavity chip has low precision, and it is usually necessary to repeatedly calibrate a single wavelength to ensure the measurement precision, which is time-consuming and laborious, the present application provides an accurate wavelength calibration method based on MEMS Fabry-Perot cavity, first, the wavelength of each wavelength point is calculated according to the wavelength range and the number of wavelength points of the MEMS Fabry-Perot cavity chip, the wavelength point to be calibrated is determined, the wavelength point λ m is set, a large range of voltage intervals is scanned, and the corresponding calibration voltage v1 is roughly obtained λ m , then the fine scanning voltage range is selected according to the calibration voltage v1, the voltage interval is narrowed to obtain the calibration voltage v2, the calibration voltage v2 is fixed, a small range of wavelength intervals is scanned, and the corresponding calibration wavelength λ p of v2 is calculated and obtained, and finally the voltage v2 is fine-tuned to obtain the voltage corresponding to the wavelength point λ m . The method described in the present application is mainly suitable for wavelength calibration of a miniature near-infrared spectroscopy system.

The invention discloses a method for rapidly identifying adulteration of traditional Chinese medicine powder by combining an improved Bi-Attention-LSTM network with multi-dimensional digital fingerprints, which comprises the following steps: by taking traditional Chinese medicine illicium verum powder as a research object, identifying adulteration of the traditional Chinese medicine powder through digital image identification and Fourier transform-near infrared spectroscopy technologies; digital images and spectrum fingerprint data of certified illicium verum and adulterated samples of the illicium verum are collected respectively, an improved ResNet50 model and an SHAP analysis method are introduced, and key digital fingerprint features of the images and spectrums are extracted. And further optimizing a bi-directional long-short-term memory network (Bi-Attention-LSTM) based on an attention mechanism, and realizing accurate classification of adulteration categories and rapid prediction of adulteration proportions by fusing external visual information and internal chemical information. Through external verification, the identification accuracy of the method reaches 100%. The rapid identification method for traditional Chinese medicine powder adulteration has the advantages of being easy and convenient to operate, excellent in model performance, high in identification accuracy and the like, and reliable technical support can be provided for rapid identification of traditional Chinese medicine powder adulteration.

The invention discloses a method for determining the content of asphaltene in asphalt, and belongs to the technical field of road engineering. Comprising the following steps: heating an asphalt sample to a flowing state, putting the asphalt sample into a metal mold, and leveling to form a film through oven treatment; scanning the thin film by utilizing a nano infrared spectrum technology to obtain a nano-scale morphology graph; respectively acquiring infrared spectrums of a bee phase wave crest and a surrounding phase position based on the morphology graph; obtaining a two-phase sulfoxide group index and a carbonyl group index through spectral quantitative analysis, and determining the asphaltene content according to a difference value between the two-phase sulfoxide group index and the carbonyl group index; according to the method, rapid, nondestructive and accurate detection of the asphaltene content is realized, and a new method is provided for quality control of road materials.