77 results about "Near-Infrared Spectrometry" patented technology

A non-invasive method of characterizing burn injuries using near infrared spectroscopy is described. In the method, a beam of light is emitted into the burnt tissue portion at two or more different tissue depths. The spectra are then compared using multivariate analysis to determine diagnostic regions of the spectra. This information is used to categorize the burn. In some cases, the diagnostic regions correspond to wavelengths related to the hemodynamics of the tissue portion. The spectra can also be repeated over time, thereby allowing trends and changes in the spectra to be measured. This data is in turn used to categorize the burn as either a superficial burn, partial thickness burn, deep partial burn or a full thickness burn. Once the burn has been categorized, the clinician can intervene as needed to treat the burn.

Method and system using near infrared (NIR) spectroscopy for dynamically monitoring and controlling the proportion of resin solids or other additive solids in combination with other ingredients used in continuous production of resin-wood composite articles.

A method for the determination of cellulosic-fibre properties, such as, but not limited to, residual lignin content of chemical pulp, with the aid of a spectroscopic technique obtained over a range covering the visible and the near-infrared regions of the electromagnetic spectrum, comprising the steps of obtaining a sample from the process line, minimally removing some excess water, exposing the fibres in the sample to a large beam light source, optionally moving the sample at a constant speed, and acquiring the spectral data over a pre-determined length of time, and correlating the spectrum to a previously determined calibration so as to determine the Kappa number. Alternatively, as an arrangement for process control, along with other varying configurations, the instant invention includes the mounting of the excitation light source and fibre-optic probe along the various locations of the kraft cooking and bleaching process, such as 1) at the drum brownstock washers and 2) throughout the bleach plant deckers, located just before the doctored blade, the probe being connected to a fast scanning spectrometer, via fibre optic cables, with a computer sequencing spectral acquisition and correlating the spectrum against a predetermined calibration, and logging the results. The process configuration, with the use of the instant invention, overcomes all limitations of prior art, including sampling hardware and sample preparation, and provides true online Kappa number determinations of the order of seconds, as compared to current state of the art Kappa analyzers which require 10 to 15 minutes per analysis. The present method is capable of measuring residual lignin content of chemical pulps with varying consistency, accounts for species effects to provide species insensitivity and can provide analysis in less than 10 seconds. The method can provide true online continuous measurement of Kappa number for feedforward and feedback control of the bleaching, paper machine and kraft cooking processes.

A wireless near-infrared spectrometry sensor includes a light source for emitting near-infrared energy into tissue and a light receiver for receiving the near-infrared energy after it exits the tissue. The sensor may include a portable energy source for supplying energy to the light source. A processing module may control the light source and process readings in connection with the light source. A wireless transceiver may be coupled to the processing module for at least one of transmitting and receiving information, wherein the light source emits near-infrared energy at predetermined intervals in order to conserve energy in the portable energy source. The portable energy source may include at least one of a battery, a capacitor, a thermoelectric generator, a kinetic energy transducer, electricity derived from RF energy, and any combination thereof. The sensor may further include a substrate for support and which may be part of a sterile bandage.

A method and apparatus for determining water activity levels of samples by spectral analysis. The method and apparatus facilitate much faster water activity level measurement than prior methods and apparatus. The method may include calibrating a spectral analyzer by correlating samples of known water activity to certain spectral features. A calibrated apparatus according to principles of the present invention may very quickly correlate spectral features of a sample of interest with a water activity level to a high degree of accuracy.

The invention discloses a near infrared spectroscopy analysis rapid detection method of rice freshness, comprising the following steps of: firstly, establishing a near infrared spectroscopy of a calibration set sample; secondly, preprocessing near infrared spectroscopy data of the calibration set sample; thirdly, extracting characteristic information of the near infrared spectroscopy of the calibration set sample; fourthly, establishing a calibration model; fifthly, verifying the calibration model; and sixthly, analyzing a sample to be tested, preprocessing the near infrared spectroscopy of the sample, extracting the characteristic information, and inputting into the calibration model to calculate the freshness of the rice sample. The invention has the advantages of rapid analysis speed, high analysis efficiency, low analysis cost, no pollution on environment without using any chemical reagent, and the like and can supply the reliable basis of rice classification, storage in separate rooms and quality control of rice and processed products.

The invention is a nondestructive method of determining the oil content in a single peanut seed, based on Fourier transform near-infrared spectrometry and combined with chemical metrology method, adopting diffuse reflection determining mode, and using single seed of multigene peanut as sample to establish a multielement recurrent mathematical model, and then forecasting the oil content in the unknown sample by this model. It is nondestructive without any preprocessing of the sample and does not damage activity and tissue structure of the seed. It has simple operation, fast determining speed and higher determining accuracy. It is applied to high-oil quality peanut breeding, seed quality resources evaluation and research on genetic law.

A visible / near-infrared spectrometry and its device for determining the components of a sample and the characteristics of the components of the sample by using visible light and / or near-infrared light in the wavelength range from 400 nm to 2500 nm. This spectrometry and device enable measurement that has been conventionally difficult, including high-accuracy determination of many components, detection of components present in ultra-low concentrations, and real-time determination of component characteristics, including determination of the structure or function of bio-macromolecules and their variations. The spectrum of a sample is measured while exposing the sample to water-activating perturbations (WAP), thereby causing the response spectrum to change, and by detecting transitions of the response spectrum. With this, by conducting spectrum analysis and / or multivariate analysis, the components of the sample and / or the characteristics of the components can be determined.

A system and method for improving the examination of vessel walls through fluid using near infrared (NIR) spectroscopy by employing a parallel measurement where all wavelengths are measured simultaneously. The system and method of the present invention obviates that need to attempt to overcome the motion of a catheter by complex filtering or averaging over time by performing the measurements for each wavelength under identical conditions.

This disclosure concerns systems and methods for identifying and selecting a more accurate chemometric model for the analysis of specific plant samples via near infrared spectrometry. This disclosure further concerns the use of such systems and methods to identify characteristics and traits of interest in plants and plant samples, for example, to facilitate selective breeding, quality control, and / or inventory control.

The invention discloses a NIR method for fatty acid content of oilseeds, including: selection of oilseed samples, and analyzing the oilseed samples by an near infrared spectrometer to obtain NIR spectra; preprocessing of NIR spectra and establishment of a NIR spectral database of oilseeds; establishment of a fatty acid database of oilseeds based on gas chromatography; establishment of prediction model of fatty acids in oilseeds; acquiring NIR spectrum of a sample to be tested by the near infrared spectrometer, and importing the preprocessed NIR spectrum into the prediction model of fatty acids to obtain the predicted fatty acid content of the tested sample. The method is simple and rapid to operate and is non-destructive, and the detection time of the sample is greatly shortened and the detection cost is reduced.

A visible / near-infrared spectrometry and its device for determining the components of a sample and the characteristics of the components of the sample by using visible light and / or near-infrared light in the wavelength range from 400 nm to 2500 nm. This spectrometry and device enable measurement that has been conventionally difficult, including high-accuracy determination of many components, detection of components present in ultra-low concentrations, and real-time determination of component characteristics, including determination of the structure or function of bio-macromolecules and their variations. The spectrum of a sample is measured while exposing the sample to water-activating perturbations (WAP), thereby causing the response spectrum to change, and by detecting transitions of the response spectrum. With this, by conducting spectrum analysis and / or multivariate analysis, the components of the sample and / or the characteristics of the components can be determined.

The invention relates to a method for rapidly detecting the salt content in Fuling pickled mustard by using near-infrared spectroscopy. The detection steps of the method of the invention include sample collection, standard determination of the salt content of each sample, collection of each sample spectrum establishment, inspection model, product detection and classification, and the like. The method of the present invention has the characteristics of no need for pretreatment, no pollution, on-line detection, and simultaneous determination of multiple components, and is more environmentally friendly, fast, simple and quick, and can use chemometrics to establish a qualitative and quantitative method for determining the salt content in pickled vegetables such as Fuling mustard. quantitative model. The innovation of the present invention is that the near-infrared spectrum cannot reflect the characteristic absorption peak of inorganic table salt, but different Na+ and Cl- ions are released due to the different content of table salt in the sample, which affects the absorption peak of water, so the content of table salt can be quickly determined by modeling , and at the same time perform clustering according to the salt content into low-salt, medium-salt and high-salt beneficial effects.

The invention discloses a method for fast identifying the variety of edible oil through a near-infrared spectroscopy method.The method comprises the following steps that a to-be-identified edible oil sample with the unknown variety is selected; a near-infrared spectrogram of the edible oil sample is collected; the near-infrared spectrogram of the edible oil sample is preprocessed, and a preprocessed spectrogram of the edible oil sample is obtained; according to the preprocessed spectrogram of the edible oil sample, a palmitic acid quantitative model, an oleic acid quantitative model and a linoleic acid quantitative model are sequentially adopted for predicting the palmitic acid content, oleic acid content and linoleic acid content of the edible oil sample respectively; an optimized qualitative model is adopted for identifying the variety of the edible oil sample according to the obtained palmitic acid content, oleic acid content and linoleic acid content of the edible oil sample.The method for fast identifying the variety of the edible oil through the near-infrared spectroscopy method is safe, fast and high in identification accuracy, detection is convenient and fast, and high practical value and popularization value are achieved.

This disclosure concerns systems and methods for identifying and selecting a more accurate chemometric model for the analysis of specific plant samples via near infrared spectrometry. This disclosure further concerns the use of such systems and methods to identify characteristics and traits of interest in plants and plant samples, for example, to facilitate selective breeding, quality control, and / or inventory control.

The invention relates to a method for detecting the content of flavonoid compounds in propolis by near infrared spectrometry, which comprises the following steps of: (1) collecting a propolis sample, selecting a sufficient and representative calibration set sample, and detecting the content of the flavonoid compounds in the propolis by a high performance liquid chromatography (HPLC) method; (2) measuring the near infrared spectrogram of the calibration set sample, performing spectrum preprocessing on the wave band of 7,500 to 4,500cm<-1> of the spectrogram, associating with the content of the flavonoid compounds in the sample, which is measured by the HPLC method, and establishing a calibration model by a partial least squares method; and (3) measuring the near infrared spectrogram of the propolis sample to be detected, processing the wave band of 7,500 to 4,500cm<-1> in the obtained spectrogram by the preprocessing method in the step (2), and substituting an absorbance value obtained by preprocessing into the calibration model in the step (2) to obtain the content of the flavonoid compounds in the propolis sample to be detected. The method is suitable for quantitatively analyzing main flavonoid compounds in the propolis, and is accurate, time-saving and high-efficiency.

The invention belongs to the technical field of medicine detection and particularly relates to a method for quickly detecting ramulus uncariae cum uncis by utilizing near-infrared spectrometry and application of the method. The method comprises the following steps: (1) crushing the selected ramulus uncariae cum uncis with known content of moisture, extract, rhynchophylline and isorhynchophylline, and sieving for later use; (2) collecting near infrared spectrum data of the ramulus uncariae cum uncis powder; (3) carrying out correlation on the selected spectral information under a characteristic wave band and the known content of moisture, extract, rhynchophylline and isorhynchophylline of ramulus uncariae cum uncis, and establishing a quantitative calibration model by adopting a partial least square method; and (4) performing near infrared spectrum scanning on an unknown ramulus uncariae cum uncis sample according to the method in the step (2), and introducing the selected spectral information under the characteristic wave band into the established quantitative calibration model to obtain the content values of the moisture, the extract, the rhynchophylline and the isorhynchophylline of the unknown ramulus uncariae cum uncis sample. According to the method for quickly detecting ramulus uncariae cum uncis by utilizing near-infrared spectrometry and the application of the method disclosed by the invention, quick and complete detection on ramulus uncariae cum uncis is realized by introducing a near-infrared spectrometry technology. Moreover, the method has the advantages of simplicity in operation, high accuracy and high precision.

The invention provides a method for determining the indexes of COD and BOD5 in sewage through near infrared spectroscopy. The method concretely comprises the following steps: 1, taking a sewage sample, determining the standard values of COD and BOD5 through a routine way, and determining the near infrared spectrum of the sewage sample; 2, taking a pure water sample, and determining the near infrared spectrum of the pure water; 3, preprocessing the spectral data of the sewage sample, dividing the sewage sample into a correction set and a verification set, and calculating to obtain the residual near infrared spectral data of the sewage sample; 4, associating the residual near infrared spectral data of the correction set of the sewage sample with the standard values of COD and BOD5, and establishing a determining model; 5, verifying the determining model; and 6, taking an unknown sewage sample, determining the near infrared spectrum of the unknown sewage sample, repeating step 3, and substituting the residual near infrared spectral data into the determining model to obtain the indexes of COD and BOD5. The method has the advantages of simplicity, rapidness, accuracy and easy operation.

The invention discloses an industry online near infrared spectrometry device, comprising a near infrared light source, a near infrared spectrometer, two three-bifurcation fibres, two reference measurement sampling pipes and an online measurement sampling pipe; the walls of sampling pipes are uniformly provided with a pair of corresponding optical path holes; the near infrared light source is respectively connected with the incidence optical path holes of three sampling pipes by three-bifurcation ends of the first three-bifurcation fibre; the exit optical path holes of the three sampling pipes are respectively provided with a sunshade mechanism; each sunshade mechanism is respectively connected with the three-bifurcation ends of the second three-bifurcation fibre; the other end of the second three-bifurcation fibre is connected with the near infrared spectrometer. The device of the invention is used for measuring the reference matters and measuring the spectrogram of samples, carrying out the operation processing of the obtained spectrogram, which can eliminate the interferences of the changes of the optical intensity and spectral properties and of the sensitiveness change of the spectrometer detector to the measurement results, realize the failure diagnosis of the optical path system, and can correct the wavelength of the spectrogram obtained by the spectrometer. The device of the invention has the advantages of reliable measurement results and high precision.

The invention relates to a quantitative matter measuring method using spectrometry. Aiming to solve the problem that with current methods, the content of plutonium and nitric acid cannot be measured simultaneously in a PUREX (plutonium uranium reduction extraction) process, the invention provides a method for simultaneously and rapidly measuring the content of plutonium and nitric acid in an organic phase. The method comprises the following steps: (1) building a mathematical model for measuring the content of plutonium and nitric acid in an organic phase through near infrared spectrometry, namely preparing a sample set, collecting near infrared spectrum, building and evaluating the mathematical model and verifying the mathematical model; and (2) measuring the content of plutonium and nitric acid in the sample by the mathematical model. According to the invention, the mathematical model is built by partial least squares; the measurement of the content of plutonium and nitric acid in the to-be-measured sample is realized by the mathematical model and near infrared spectrum data of the to-be-measured sample; the method has the advantages of being simple and rapid in analysis process, strong in anti-interference ability and small in sampling amount and belongs to nondestructive analysis.

The invention relates to a method for detecting content of water, protein and starch in a fish ball based on a support vector regression method and a near infrared spectroscopy. The method comprises the following steps of: (1) collecting representative fish ball samples; (2) measuring the content of water, protein and starch in the samples by using a national standard method; (3) performing spectral scan, namely acquiring near infrared diffuse reflection spectroscopic data by using a near infrared spectrometer; (4) establishing a model, namely associating the near infrared spectroscopic data with corresponding indexes, and establishing a calibration model through support vector regression; (5) estimating and verifying the model; and (6) measuring the content of water, protein and starch of an unknown fish ball sample by using the established model. By the detection method, a sample analyzing task which is finished in more than one hour by the conventional standard method can be finished in 2-3 minutes, and the method has the advantages of accurate results, simple operation, simultaneous detection of multiple components, on-line detection and the like, and is suitable for large and medium fish ball manufacturing enterprises.

The invention belongs to the technical field of medicinal material detection and in particular relates to a method and application for rapidly detecting mother chrysanthemum medicinal materials by utilizing a near infrared spectroscopy. The method comprises the steps of measuring the content of linarin and / or measuring the content of moisture, namely (1) selecting the mother chrysanthemum medicinal materials with the known content, grinding, and screening, thereby obtaining medicinal material powder; (2) collecting the near infrared spectroscopy of the mother chrysanthemum medicinal materials; (3) selecting spectral information under characteristic wave bands of 4597.6-7501.9cm<-1> and 4700-6800cm<-1>, associating with the known content of the linarin and content of the moisture of the mother chrysanthemum medicinal materials, and establishing a quantitative calibration model between the near infrared spectroscopy and the standard content; and (4) performing near infrared spectroscopy scanning on an unknown sample, selecting spectral information under the characteristic wave bands, and importing the established quantitative calibration model, thereby obtaining the contents of the linarin and the moisture of the unknown sample. According to the method, the mother chrysanthemum medicinal materials are rapidly and comprehensively detected, the method has the advantages of being easy to operate, high in accuracy, high in precision and the like, and the quality of a mother chrysanthemum preparation is safe and effective.

The intention of the invention is that 1.providing close infrared spectroscopy of doing qualitative and quantitative analysis for the production of feed class powdered additive simultaneity, providing the testing method for the content when distinguish the true and false for the feeding powdered additive of different content and different standard.2.avoiding the abuse of the testing technology in existence which is tested after watering to melt for the powdered additive, testing directly to powdered samples of powdered additive, it can shorten the detection time, and reducing the error in the process of intermediate handing, reducing the cost of detection. The step of the invention is that the invention mainly use a near infrared analyzer, after collecting the spectrum for a large quantities of the representational and eligible powdered additive by exact testing, getting the detection model which has the effect of qualitative and definite quantity after professional stoichiometry soft dispose, when testing the unknown sample by near infrared analyzer which is pre-loaded this model, we can test the true content of powdered additive when we determinant the true or false of powdered additive sample .

The invention discloses a portable rapid food and drug quality detection device and method. The device comprises a sample pool, a laser radiating unit, an ultrasonic detector, a signal processing unit, a control display unit and the like. By virtue of an opto-acoustic non-destructive testing technology, the detection method, compared with a liquid / gas phase chromatographic method, can be used for directly detecting a tested sample without performing complex preprocessing operation on the sample, and irreversible destructiveness on the nature of the tested sample can be avoided; and compared with non-destructive detection methods such as near infrared spectroscopy, the detection method can relatively well avoid adverse impact of scattered light from components inside the sample on the transmission or reflection spectrum measurement of the tested sample, so that the detection accuracy is greatly improved. As an embedded system and a control display unit touch screen adopted by a large pulsed laser and a data processing unit are replaced by virtue of a laser diode rotating device, the detection device disclosed by the invention is relatively high in integration degree, and is relatively low in cost when multiple excitation wavelengths of a light source is guaranteed.

The invention relates to a method for quickly, accurately and quantitatively detecting the ratio of various oil components in blend oil. The method comprises the following concrete steps: by taking edible oil as a research object, preliminarily analyzing and researching the content of the components in the blend oil by a near-infrared spectrometry and chemical metering combined process to expectantly find a method for quickly distinguishing the components of the blend oil so as to judge whether a type of blend oil is consistent with a label or not and judge whether the blend oil goes bad or not; experimenting and collecting multiple types of blend oil, simulating configuration of blend oil with different ratios, scanning the spectrum of pure oil and the spectrum of the blend oil through a near-infrared spectrometer, and creating a model for quantitatively analyzing the content of soybean oil, peanut oil and sunflower seed oil in the blend oil through a partial least squares (PLS) method; finally, creating a PLS prediction model by selecting and using an S-G smooth preprocessing method and proper component number, wherein due to the model, the related coefficients of the soybean oil, the peanut oil and the sunflower oil can maximally reach 0.9874, 0.9371 and 0.9456 respectively and the content of the soybean oil, the peanut oil and the sunflower oil in the blend oil can be accurately predicted. Therefore, the quality of the edible plant oil can be quickly and quantitatively analyzed by the near-infrared spectrometry and chemical metering combined process.

The invention discloses an online detection method for content of HMX in HMX production process. The key quality parameters in the technical process of production mean HMX content in a mixing process, a nitrifying process and a pyrolysis process. The method includes the steps of acquiring a near infrared spectrum of a reaction process system, correlating HMX content data acquired by a liquid chromatogram with the near infrared spectrum, and establishing a calibration model with a partial least squares regression method to realize online detection on the HMX content in the reaction process. The established near infrared spectrum is applied to online detection on the HMX content in the reaction process. The online detection method can be used for obtaining HMX content information in the system in real time, guiding and optimizing the production technology, ensuring product quality, improving the production automation and continuity level and providing technical support for man-machine isolation at a dangerous point.

The invention discloses a near infrared spectrum analyzer for quality of an agricultural product based on a micro electro-mechanical technology. The near infrared spectrum analyzer belongs to the technical field of near infrared nondestructive detection and comprises a light splitting component of a micro electro-mechanical system, an integrating sphere, a sample cup, a microprocessor, a key input and result displaying device, and a computer data processing unit. According to the near infrared spectrum analyzer, light is split by an advanced micro electro-mechanical system, so that a near infrared spectrum apparatus is achieved to be miniaturized and microminiaturized, basic conditions for research and development of a follow-up hand-held near infrared rapid detecting apparatus for the quality of the agricultural product are created, because continuous near infrared diffuse reflection spectrum of a material is detected, thereby detecting content indexes of various components for balancing the quality of the agricultural product very conveniently. Through an integrating sphere diffuse reflection way, a light signal with information of a sample is collected and transmitted to the microprocessor to be processed.

The invention discloses a chemometrics method for determining a cetane number of diesel oil. The chemometrics method comprises the following steps of firstly, carrying out standardized treatment on determined original near infrared spectrum data of the diesel oil and screening variables (wavelengths) in the data by adopting an uninformative variable elimination UVE method; then, establishing a partial least squares PLS model between a known diesel oil spectrum matrix containing different variable numbers and the corresponding cetane number; predicating the cetane number of an unknown sample by adopting a multi-model consensus method; calculating a total predicated value by carrying out weighting method calculation on a predicated value of a single model; finally, calculating the predicated values by an averaging method through repeating a predication process for a plurality of times so as to obtain the final predicated result. The method disclosed by the invention is applied to the determination for the cetane number of an actual diesel oil sample to obtain a good effect; the performance for predicating the cetane number of the diesel oil by combining the PLS linear model with a near-infrared spectrometry is improved in the aspects of accuracy and stability; the cetane number of the diesel oil can be detected accurately, rapidly and simply.

The invention relates to a method for rapidly measuring the content of five saponins in radix-notoginseng medicinal materials with the near infrared spectroscopy method and an application. The method includes the steps that different-batch radix notoginseng medicine materials are collected to compose a sample set, near infrared spectroscopy of the materials is collected, abnormal samples are eliminated, a calibration set and a verification set are divided, the suitable spectrum pretreatment method and suitable modeling wave bands are selected, the content of five-medicine-effect saponins in the radix-notoginseng medicinal materials is measured with the HPLC method to serve as the reference value, the chemometrics technology is applied, and a quantitative calibration model between the near infrared spectroscopy of the radix-notoginseng medicine materials and the content of the five-medicine-effect saponins of the radix-notoginseng medicine materials is built, and can be used for measuring the content of five medicine-effect saponins of unknown-content radix-notoginseng medicine materials and relative preparation production of the radix-notoginseng medicine materials. According to the method, the five medicine-effect saponins are main medicine-effect ingredients of a radix-notoginseng saponin preparation, and are similar to the quality control index of the five medicine-effect saponins; in this way, the rapid and efficient technology method can be provided for the quality control over the radix-notoginseng medicinal materials and the preparation of the radix-notoginseng medicinal materials, and the checking workload is reduced.

The invention provides a tobacco leaf mildew rapid identification method based on a wavelet transform-random forest algorithm. The method comprises the following steps: collecting a tobacco leaf sample; respectively collecting the near infrared spectrum of each tobacco leaf sample as the spectral information of each tobacco leaf sample; preprocessing the spectral information by using discrete wavelet transform, and solving and obtaining a wavelet coefficient; and identifying the mildew degree of the tobacco leaves from the wavelet coefficients by utilizing a random forest algorithm to finish the identification of the mildew of the tobacco leaves. According to the tobacco leaf mildew rapid identification method based on the wavelet transform-random forest algorithm provided by the invention, a rapid identification method of tobacco leaf samples with different mildew degrees is established by using a near infrared spectrum method, and a basis is provided for early warning of tobacco leafmildew; spectral data is processed through wavelet transformation, spectral variables are determined, a random forest recognition model is established, the recognition rate and the forecasting rate are high, and effective recognition and accurate prediction of the mildew degree of the tobacco leaf sample are achieved.