617 results about "Near infrared spectrometer" patented technology

Aspects of the present disclosure are presented for a surgical instrument having one or more sensors at or a near an end effector and configured to aide in the detection of tissues and other materials and structures at a surgical site. The detections may then be used to aide in the placement of the end effector and to confirm which objects to operate on, or alternatively, to avoid. Examples of sensors include laser sensors used to employ Doppler shift principles to detect movement of objects at the surgical site, such as blood cells; resistance sensors to detect the presence of metal; monochromatic light sources that allow for different levels of absorption from different types of substances present at the surgical site, and near infrared spectrometers with small form factors.

A multi-sensor system rapidly measures diffuse reflectance of soil, soil conductivity, and other soil properties in situ, in three dimensions. The system includes a tractor-drawn implement containing a sensor shank used for X-Y axis measurements, a hydraulic probe implement containing a sensor probe for −Z axis measurements, and a set of visible and near-infrared spectrometers, controls, and firmware that are shared by each implement. Both implements include optical sensors and soil electrical conductivity sensors. The probe implement incorporates a sensor that measures insertion force, and the shank implement includes a soil temperature sensor. These combinations of sensors are used to calibrate the system and to characterize the soil properties within a field or area. Geo-referenced soil measurements are collected with the shank implement to identify optimal locations for conducting sensor probe insertions. The probe implement is then used for sensor probing and for collecting soil core samples for lab analysis.

A near IR spectrometer-based analyzer attaches continuously or semi-continuously to a human subject and collects spectral measurements for determining a biological parameter in the sampled tissue, such as glucose concentration. The analyzer includes an optical system optimized to target the cutaneous layer of the sampled tissue so that interference from the adipose layer is minimized. The optical system includes at least one optical probe. Spacing between optical paths and detection fibers of each probe and between probes is optimized to minimize sampling of the adipose subcutaneous layer and to maximize collection of light backscattered from the cutaneous layer. Penetration depth is optimized by limiting range of distances between paths and detection fibers. Minimizing sampling of the adipose layer greatly reduces interference contributed by the fat band in the sample spectrum, increasing signal-to-noise ratio. Providing multiple probes also minimizes interference in the sample spectrum due to placement errors.

A near-infrared spectrometer-based analyzer attaches continuously or semi-continuously to a human subject and is used to collect spectral measurements of a tissue sample. The spectral readings are used to estimate a biological parameter in the sampled tissue noninvasively, such as glucose concentration. The preferred apparatus is a near-infrared analyzer that includes a base module and a sample module connected together with a communication bundle. The base module contains the bulk of the analyzer, such as a spectrograph and a central processing unit with an algorithm used for converting the optical signal into a glucose concentration. The sample module is typically in a smaller module that interfaces to a tissue sample. The sample module is preferably handheld and provides minimal sampling distortion due to heat or pressure.

A method and apparatus for field spectroscopic characterization of seafood is disclosed. A portable NIR spectrometer is connected to an analyzer configured for performing a multivariate analysis of reflection spectra to determine qualitatively the true identities or quantitatively the freshness of seafood samples.

The invention relates to an optical fiber near-infrared spectrometer in the technical field of medical devices. The optical fiber near-infrared spectrometer uses multi-tail optical fiber collimator as light source optical fiber, uses a number lock technology as a technical scheme for weak signal extraction, uses a laser diode with a PD as a light source for sinusoidal modulation, uses an avalanche photodiode (APD) or photomultiplier tube (PMT) as a detector, and uses thick core-diameter plastic optical fiber, liquid-core optical fiber, silica optical fiber, a silica optical fiber bundle or glass optical fiber bundle as detection optical fiber. The invention has the advantages that the instrument can conduct nondestructive real-time hemodynamic parameter detection to biological tissues sheltered by hairs, the noise level of the instrument is low, the time resolution is high, the stability is high, the price is cheap, the hardware circuit design is greatly simplified and the portability of the instrument is realized.

The invention discloses a new mean production control type threshing and redrying method, which comprises a raw material preparation process, a threshing process, a redrying process and a packaging process. A process for the near infrared online detection of chemical ingredient contents of tobacco leaves is added before the threshing and redrying and after the threshing and redrying respectively, and the online detection of a near infrared spectrometer cooperates with a computer control system before redrying and links with threshing and redrying equipment to form closed-loop control. In the invention, the addition of the near infrared online detection process before leaf redrying realizes the mean management of threshing and redrying line, eliminates the defect of the past threshing and redrying technique that the control indexes of inner quality are short, thus laying a good foundation for threshing and redrying enterprises to improve processing level and satisfying the requirements of cigarette processing enterprises. The addition of the near infrared online detection after redrying ensures that each box of products have labels of chemical ingredient content data, thus providing powerful data reference for tobacco alcoholization and cigarette prescription, and leading all jobs to have relatively accurate chemical index data as basis.

The invention provides a novel fast and non-destructive analysis method for the nutritional quality of cottonseed. The method comprises the following steps: 1) selecting whole cottonseeds of representative cotton varieties as experimental samples; 2) using a near-infrared spectrometer to collect near-infrared spectral data of whole cottonseeds, and the spectral scanning range is 800-2500nm; 3) using the national standard method Accurately analyze the nutritional quality of cottonseed; 4) Preprocess the near-infrared spectrum data; 5) Select spectral variables to eliminate non-informative variables; 6) Use the multivariate correction method to establish the near-infrared spectrum of whole cottonseed and the nutritional value of whole cottonseed 7) Performance evaluation of the calibration model; 8) Collect near-infrared spectral data of the whole cottonseed to be tested, and use the calibration model to predict its nutritional quality after preprocessing the spectral data. The invention has fast analysis speed, does not destroy samples, does not require sample pretreatment, has high detection accuracy, and can analyze various nutritional quality components in cotton seeds at the same time, and provides a convenient, fast and efficient analysis method for cotton breeding and cotton seed inspection.

An on-line near infrared spectrograph is composed of light source, lens set, optical coupler, optical fibre, optical switch, optical sampling meter, blank reference pool, standard filter, slit, plane mirror, grating, optical set in orthogonality on flatfield and detector for charge-coupled device of linear array.

The invention discloses a gender identification method for a chick embryo in a near-infrared hatching egg at earlier stage of incubation, and belongs to a hatching egg detection technology. The method comprises the following steps: obtaining a near-infrared spectrum of a hatching egg through an optical fiber probe and a Fourier near-infrared spectrometer in a dark room, decomposing the near-infrared spectrum of the hatching egg by an overall mean empirical mode, removing high-frequency characteristic mode components to remove noise, removing low-frequency characteristic mode components by a method based on empirical mode decomposition to achieve baseline correction, extracting main components of spectral data as input variables of a nerve network so as to finish the identification, wherein the output value of the nerve network is 0 or 1. According to the method, the gender identification efficiency and accuracy of the hatching egg at earlier stage of incubation are high, the incubation cost is reduced, and the development of layer chicken and meat chicken feeding production is facilitated.

The present invention relates to a similar tobacco leaves search method based on the near infrared spectrum of tobacco leaves. The near infrared spectrum of tobacco leaves is used as basic data by the present invention. Distributed sampling is first carried out to the target tobacco leaves of each species; samples are pre-treated; the near infrared spectrum of the samples is obtained by scanning the samples on a near infrared spectrometer; principal component analysis (PCA) operation is carried out to a plurality of near infrared spectra of the target tobacco leaves of each species, obtaining loading matrixes, characteristic values and standardized residual errors, so as to generate a data model of the target tobacco leaves of each species; the near infrared spectrum of an unknown tobacco leaf, and the loading matrixes in the target tobacco leaf data models are used to carry out principal component decomposition calculation to the near infrared spectrum of the unknown tobacco leaf, so as to obtain the principal component score and decomposition residual error of the unknown tobacco leaf; the principal component score of the unknown tobacco leaf and the principal component space distance of the target tobacco leaf data models are calculated, and the residual error distance between the decomposition residual error of the unknown tobacco leaf and the standardized residual errors in the target tobacco leaf data models is also calculated; the distance between the unknown tobacco leaf and the target tobacco leaves is measured through the sum square root of the principal component space distance and the residual errors; the smaller the distance is, the higher the similarity is; finally, the distances between the unknown tobacco leaf and each target tobacco leaf is compared and sorted according to the size of the distances, so as to obtain a similar tobacco leaves search result.

The invention discloses a method for quickly detecting nutritional quality of root/stem crops on the basis of near-infrared spectrum, and belongs to the field of nutritional quality detection. The method includes steps of 1), screening a representative test sample bank with high gradient of component content and according with modeling; 2), acquiring near-infrared spectrum data of test samples by a near-infrared spectrometer; 3), precisely analyzing component content of nutritional quality of the test samples in the test sample bank by referring to international or national standard methods; 4), processing the near-infrared spectrum data; 5), selecting a chemical metering process for building a mathematical model and establishing a model by a program QUANT-2 in OPUS quantitative analysis software; 6), evaluating the model by means of correction and internal cross validation; and 7), collecting the near-infrared spectrum data of to-be-tested samples, preprocessing the spectrum data, and then predicting the nutritional quality of the samples by the aid of the established model. The method has the advantages of high analysis speed, no pollution, no sample preprocessing, high detection precision, good repeatability, and capability of analyzing various nutritional quality components of underground root/stem crops simultaneously.

The invention discloses a vinegar residue organic matrix moisture content detection method. Firstly vinegar residue organic matrix samples in different moisture contents are taken, one part is taken as a correction set, other part is taken as a predetermination set, and the rest is taken as samples to be detected, and moisture contents of all the samples are determined as measured value by drying weighing method; reflectance spectrum information of sample is acquired by a visible near-infrared spectrometer, the relationship of spectroscopic data of the correction set and moisture content measured value thereof is utilized to build a correction model; spectroscopic data of the predetermination set is input into the correction model for carrying out predetermination, predetermination result of sample moisture content of predetermination set is obtained and difference thereof with the measured value is analyzed, and a correction model predetermination precision of which meets requirement is selected; and finally spectroscopic information of sample to be detected is input into the selected correction model to calculate the moisture content of sample to be detected. The invention can rapidly and conveniently determine moisture content in matrix in field in batch and can dynamically detect variation of moisture content of matrix in crop growing process.

This invention relates to a examine method of the different substance mixed uniformity degree of mixed process, the method having the following steps: mix a variety of pharmaceutical preparations in the mixer for 10~30 minutes, take the sample from the sample surface in the mixer; the said sample is loaded in the near-infrared spectrometer sample cup, and using the diffuse reflectance measuring mode, choosing scanning wave scope from 11000~4000cm-1 wave band, multiple scanning in the selected wave band, with frequency of 8, 16, 32, 64 times, to obtain near-infrared spectral data; using mathematical processing software of near-infrared spectrometer to do the first rank derivative process on the near-infrared spectral data, then using similarity matching method, to obtain the similarity value between the sample; according to the similarity value, evaluate the mixed uniformity degree, and the similarity degree of different location being higher, it represents the proportion of various components of these samples being closer, that is, the mixed uniformity degree better.

The invention discloses a hand-held soil nutrient quick nondestructive measurement system. The system comprises a microprocessor, a liquid crystal display, a light source, a near infrared spectrum module, a keyboard, a data memory, a power supply and a Y-type optical fiber, wherein, the microprocessor is connected with the near infrared spectrum through a RS232 serial interface circuit; the power supply supplies electricity for the microprocessor, the liquid crystal display, the light source, the near infrared spectrum module, the keyboard and the data memory respectively; the tail end of the Y-type optical fiber is a spectrum acquisition probe, while the other two ends are connected with the light source and the near infrared spectrum module respectively. The system can measure the most main nutrient information of the soil, including nitrogent content, phosphorus content, kalium content and organic matter content. carrying out spectrum acquisition and processing through the near infrared spectrum module and the microprocessor, the system makes up the defect that the traditional large near infrared spectrometer can only be used indoors, and is not suitable for carrying in the field; and the whole device is less than 1kg in weight, is convenient for carrying, and can meet the requirement of quickly measuring the soil nutrient in the field.

The invention relates to a diffuse transmission spectrum and image information fusion method for detecting internal quality of honeydew melons on line and a device. The method comprises the following steps: establishing a honeydew melon internal quality nondestructive testing model and detecting the internal quality of a honeydew melon sample on line. The device comprises a conveying device, a signal control unit, a diffuse transmission spectrum acquisition device, a honeydew melon image acquisition device and a honeydew melon internal quality detection software system; drag rings for containing honeydew melons are arranged on the conveying device; each drag ring sequentially penetrates through an image acquisition chamber of the image acquisition device and a spectrum acquisition chamber of the diffuse transmission spectrum acquisition device; a layer sensor and two industrial cameras in the image acquisition chamber and a laser sensor and a near infrared spectrometer in the spectrum acquisition chamber are connected with a computer provided with the honeydew melon internal quality detection software system through the signal control unit. According to the method and the device, the internal quality of honeydew melons can be effectively detected, and the defect that internal quality indexes of the honeydew melons cannot be accurately detected through the image information is overcome.

The invention discloses a method for measuring the content of substance in a process of anaerobic fermentation, comprising the steps of: 1) scanning fermentation liquor in the process of anaerobic fermentation by a near-infrared spectrometer, and obtaining a near-infrared spectrum signal; 2) measuring the content of the substance to be measured in the fermentation liquor of the step 1) by the existing technology; 3) building a near-infrared spectrum multivariate calibration model about the near-infrared spectrum signal and the content of the substance to be measured; 4) scanning the fermentation liquor in the process of the anaerobic fermentation by the near-infrared spectrometer again, and obtaining another near-infrared spectrum signal; and 5) obtaining the content of the substance in the process of the anaerobic fermentation according to the near-infrared spectrum multivariate calibration model and the near-infrared spectrum signal obtained in the step 4). After the method disclosed by the invention is adopted, the simple pretreatment is only needed to be carried out for a sample; and compared with the traditional method, a great deal of analysis time and expense can be saved, so that a good tool is provided for monitoring the fermentation process of anaerobic reaction.

The invention discloses a method for determining a radix notoginseng extract and contents of five types of ginsenosides in a preparation of the radix notoginseng extract by a Fourier transform near-infrared spectrograph. The method comprises the steps that a sample is detected by an ultra-high performance liquid chromatography, moving phase builds acetonitrile and water gradient elution parameters with separation degrees higher than 1.7 in chromatographic peaks of Rg1 and Re, and the spectrum preprocessing adopts the combination of 2 to 3 methods in Savitzky-Golay polynomial smoothing, second-order differential, Noriis derivative filtering and data normalization; and three preferred wave bands of the five types of ginsenosides are modeled, and a calibration model is built by any one of a partial least squares regression method, a principal component regression method and a multiple linear regression method. The method is used for determining the contents of the five types of ginsenosides in the sample to be detected, the determining result is consistent with a result determined by the ultra-high performance liquid chromatograph basically, the requirements of 'Chinese pharmacopoeia' are met, the accuracy is high, and the determination speed is increased substantially.

The invention discloses a near infrared spectrum based detection method for rapid discrimination of oil-tea camellia seed oil real property. The method comprises the following steps: first, a near infrared spectrometer is used to acquire spectrum data of an oil-tea camellia seed oil sample to be detected, and a near infrared spectrum scan wave number, a near infrared spectrum scan frequency and a resolution are controlled during acquisition; then data with spectral band within 5750-6000cm<-1> are selected from an acquired standard spectrum and treated with a smoothing, a first derivative processing and a self-normalization; at last the data is input into an oil-tea camellia seed oil discrimination and analysis model, and a mahalanobis distance discrimination method is employed to determine whether a sample point falls in a delimited real sample area in the oil-tea camellia seed oil discrimination and analysis model, so as to determine true or false of the sample to be detected. The detection method of the invention has advantages of simple operation, rapid detection, safety, environmental protection, and high precision.

The invention discloses a food modeling and rapid detecting integration method and system adopting portable NIRS (near infrared spectroscopy). According to the method, the portable NIRS is secondarily developed under the windows system, a food detecting and calibrating model is established according to concentration reference values of component index parameters of a calibration set food sample as well as NIRS data, component parameters of a to-be-detected set sample food are detected by the calibrating model, and concentration detection values of to-be-detected components of unknown samples are obtained; an optimal detecting and calibrating model aiming at specific detected food objects can be obtained by adjusting model parameters. The integration system comprises a sample spectrum data collecting module, a sample spectrogram pre-processing module and a model establishment and evaluation analysis module. With the adoption of the method and the system, food components can be rapidly detected, according to the data characteristics of detected objects, the model can be established initiatively, the optimal parameters can be determined, the optimal model can be established, and accordingly, the detection precision of the model is improved.

The invention relates to a detection method of quality index of yellow rice wine, in particular to a method for rapidly detecting quality index of yellow rice wine, which has simple operation, improved detection speed and greatly improved time efficiency and production efficiency. The method comprises the following steps of: (1) scanning a yellow rice wine sample to be detected by Fourier transform near infrared spectrometer and a liquid fiber probe to obtain the spectrum of the yellow rice wine sample; and (2) sending the spectrum of the yellow rice wine sample obtained in step (1) to a quantitative spectrum analysis software package, and calculating the contents of quality indexes of the yellow rice wine sample by using a pre-constructed quality index model of the yellow rice wine, wherein the quality indexes comprise one or more of alcohol degree, total acid, total sugar, ammonia nitrogen, non-sugar solids, volatile ester and color ratio. The invention has the advantages of simple operation, improved detection speed, no pollution in the detection process and nondestructive detection, and can be further used for production line to achieve online detection and control.

The invention relates to a method for fast detecting content of dioscin in dioscorea zingiberensis by utilizing near infrared spectrum technology, which effectively solves the problems that a traditional analysis method is complex, high in production cost, low in efficiency and plenty in raw material waste and comprises utilizing a near infrared spectrometer to scan near infrared absorbing spectrum of a calibration sample set, performing pre-treatment and spectrum area selection to obtain calibration sample set characteristic spectrum, and utilizing high performance liquid chromatography to detect index content of the calibration sample set dioscorea zingiberensis to serve as a reference value; utilizing a partial least squares method to combine the characteristic spectrum of the calibration sample set and the reference value to establish a calibration model, then substituting characteristic spectrum of a validation sample set into the calibration model, and obtaining a night-time ozone profile (NIR) predict value; comparing the NIR predict value with the content of validation sample set dioscorea zingiberensis detected through the high performance liquid chromatography (HPLC), performing validation on the calibration model, crushing a sample to be tested, scanning a near infrared spectrogram of the sample to be tested , and after performing pre-treatment and spectrum area selection, inputting the calibration model. The method for fast detecting the content of the dioscin in the dioscorea zingiberensis by utilizing the near infrared spectrum technology is short in time, fast in speed, accurate and capable of performing detection on line in real time, improving working efficiency and reducing cost.