Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

95results about How to "No preprocessing required" patented technology

A method for rapid and non-destructive analysis of nutritional quality of whole cottonseed based on near-infrared spectroscopy

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.
Owner:ZHEJIANG UNIV

Method for quickly and non-destructively detecting variety, sugar degree and acidity of apple

The invention discloses a method for quickly and non-destructively detecting variety, sugar degree and acidity of an apple, and belongs to the technical field of food detection. The method disclosed by the invention comprises the following steps: acquiring a near infrared spectrum of an apple sample, and simultaneously, respectively detecting the sugar degree and the acidity of the apple through a handheld refraction sugar degree meter and a pen type pH meter; then, performing dimension reduction processing on the pre-processed apple spectrum data with a principal component analysis method, and optimizing by using a genetic algorithm; finally, classifying with a BP neural network method, and finally, determining an optimal prediction model through repeated verification. According to the BP neural network-based prediction model established by the invention, the variety, the sugar degree and the acidity of the apple can be predicted very well. In a conventional method, the apple is required to be damaged, so that the conventional method is destructive detection; moreover, the sugar degree and the acidity are required to be detected respectively; the variety of the apple cannot be detected through a suitable method. The method has the advantages of non-destructiveness, quickness, low cost, no sample pre-treatment, no chemical reagent, no pollution and the like; moreover, the variety, the sugar degree and the acidity of the apple can be predicted simultaneously.
Owner:甘肃萃英大农科技有限公司

Multichannel quantitative detection device and detection method of two-photon fluorescence optical tweezers

The invention provides a multichannel quantitative detection device and a detection method of two-photon fluorescence optical tweezers. The detection device carries out the following steps of: shooting a near-infrared laser beam generated by a near-infrared laser into an objective lens through a beam expander, a beam splitter, a two-tone beam splitter mirror and a dimensional scanning system, and forming the optical tweezers in a sample cell by gathering of the objective lens; shooting a near-infrared scattered light from the optical tweezers into a near-infrared light detector after reflecting the near-infrared scattered light by the two-tone beam splitter mirror and the beam splitter and gathering the near-infrared scattered light by a first focusing mirror; and detecting a fluorescent light penetrating through the two-tone beam splitter mirror after gathering the fluorescent light by a second focusing mirror and splitting the fluorescent light by a beam splitting system. According to the multichannel quantitative detection device, the real-time and quantitative detection can be carried out on metal ions, biological molecules, virus particles and the like, and the simultaneous detection for multiple different to-be-detected objects marked by different quantum dots can be realized; and the miniaturization of the multichannel quantitative detection device is easily realized, and a sample detection method has the advantages of high sensitivity, good selectivity, high speed, little sample dosage, no need of pretreatment and the like.
Owner:WUHAN UNIV

Method for determining content of components in blended fiber

The invention discloses a method for determining the content of components in blended fiber and relates to the method for determining the blended fiber. The method comprises the following steps: acquiring near infrared spectrum data of the blended fiber and a detected pure fiber, and converting the obtained near infrared spectrum data into angle values between the blended fiber and the detected pure fiber; by selecting a modeled blended fiber sample as a correction set, selecting a blended fiber sample to be detected as a prediction set, taking the content of the detected pure fiber in the correction set as a dependent variable and taking a matrix consisting of the correction set and the angle value of the detected pure fiber as an independent variable, establishing a multi-variable regression model through a partial least squares method; substituting the angle values of the blended fiber to be detected and the detected pure fiber into the multi-variable regression model so as to obtain the relative content of the detected pure fiber in the blended fiber to be detected. During fiber detection, sample pretreatment is not needed, an experiment environment requirement is reduced, and an analysis method is simple, quick and accurate and is also can be used for determining the content of components to be detected in the blended fiber when the components of the blended fiber are undetermined.
Owner:GUANGXI UNIVERSITY OF TECHNOLOGY

Modification method of oleophylic and hydrophobic nano-sponge

InactiveCN104987528AStrong oil retention capacityNo preprocessing requiredPorositySilanes
The invention relates to a preparation method of a modified nano-sponge oil absorption material capable of absorbing oil continuously and selectively. The preparation method comprises the following steps: (1) selecting proper solvents to prepare a silane coupling agent solution of a certain concentration, and adding a nano-sponge material; (2) after the nano-sponge material absorbs the solution sufficiently, soaking for a certain time, and sufficiently drying the soaked nano-sponge material in a high-temperature drying oven; (3) taking out the dried nano-sponge, washing with a solvent for 2 to 4 times, and placing the washed nano-sponge in a vacuum drying oven for drying till the weight is not changed any more. The preparation method has the advantages that as the nano-sponge material of which the internal porosity is high is taken as a reaction base body, the oil retaining capacity of the modified oil absorption material is high; the nano-sponge material is not required to be pretreated before modification; after modification, the oil absorption sponge is still as elastic as common sponge, and can be directly connected onto a pump to recover leaked oil while no water is absorbed, so that the use is convenient; the prepared sponge is higher in continuous oil absorption capability, and can be used in a circulatory manner repeatedly, so that the reusability of the prepared sponge is improved; the preparation process for modified sponge is simple to operate and mild in reaction conditions.
Owner:WUHAN INSTITUTE OF TECHNOLOGY

Electrochemical fingerprint identification of traditional Chinese medicine pawpaw

The present invention relates to a pawpaw electrochemical fingerprint identification method, provides a method for identifying the authenticity of pawpaw through an electrochemical fingerprint, and belongs to the field of traditional Chinese medicine quality control. The method comprises: A, establishing a pawpaw chemical component fingerprint, wherein pawpaw with the same production place and the same brand is adopted as a standard substance, the electrochemical fingerprint of all component is established through an oscillation reaction, and results are shown in figure 1; and B, detecting a sample, wherein a pawpaw sample to be detected is detected under the same conditions as the standard substance so as to obtain the fingerprint of the detected sample, and the fingerprints of the standard substance and the detected sample are analyzed through a direct observation method or Origin software analysis so as to be adopted as the qualitative basis. According to the present invention, all components of the pawpaw are made into the fingerprint, the method has advantages of good reproducibility, no requirement of pretreatment, simple and fast operation, economy and the like, can provide reliable information for the identification of the quality of all types of pawpaw and the identification of the low-price pawpaw and the high-price pawpaw, and is suitable for promotion in the technical field of pawpaw safety detection.
Owner:查孝柱

Quantitative liquid analysis method by spectrum baseline correction

The invention belongs to a chemical quantitative analysis method, and relates to a quantitative liquid analysis method by spectrum baseline correction, which aims to overcome the defects of long test time, high cost and large test result error of the prior art. The method comprises the following steps of: (1) data acquisition, comprising the steps of selecting an apparatus, setting parameters, firstly testing spectroscopic data without a sample, and secondly testing samples; (2) spectrum baseline correction, comprising the steps of figuring out a linear representation coefficient by optimizing a constraint model and acquiring a baseline-free spectrum according to the linear representation coefficient, thereby implementing the spectrum correction; (3) model building, comprising the step of building a quantitative analysis model by taking a sample with known concentration as a training sample through partial least squares; and (4) quantitative analysis, comprising the step of transmitting a sample with unknown concentration into the model, and computing to obtain a quantitative analysis result. The method has the advantages that the quantitative analysis of liquid materials does not need complex sample pretreatment; the test cost is low; the test speed is high, and the method is suitable for online testing; and the quantitative analysis result is exact and reliable.
Owner:HUAZHONG UNIV OF SCI & TECH

Normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint and mass spectrometer

The invention discloses a normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint. The normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint comprises an ion source body used for generating normal pressure micro glow discharge, a Helmholtz coil used for providing a uniform magnetic field for restraining a micro glow discharge plasma and a sample ion, and an annular electrode used for generating a static electric field to assist in focusing charged particles, wherein the ion source body is located in the magnetic field generated by the Helmholtz coil, and ion current generated by the ion source body passes an electric field generated by the annular electrode. The invention further discloses a mass spectrometer adopting the normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint. The normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint and the mass spectrometer are low in energy consumption, small and exquisite in appearance, simple in structure and easy and convenient to operate, have little influence on the outside, are high in signal enhancement degree, are free of sample pretreatment, carry out analysis quickly, can reach the purpose of harmless analysis, and are clean and free of pollution.
Owner:SICHUAN UNIV

Normal-pressure micro-glow discharge desorption mass spectrum ion source and mass spectrometry device composed of ion source

The invention discloses a normal-pressure micro-glow discharge desorption mass spectrum ion source and a mass spectrometry device composed of the ion source. The ion source mainly comprises a micro-plasma generation cavity formed in an insulating material base part, a pair of breakdown electrodes fixedly arranged on the wall face of the micro-plasma generation cavity, and a gas path conversion connector fixedly arranged at the inlet end of the micro-plasma generation cavity and used for being connected with a working gas introduction system, wherein the electrodes are connected with an adjustable direct-current and stable-voltage power supply. The mass spectrometry device mainly consists of the working gas introduction system, the normal-pressure micro-glow discharge desorption mass spectrum ion source, the adjustable direct-current and stable-voltage power supply, a mass spectrometer and a mass spectrum data processing system. The mass spectrometry device is used for carrying out spectral analysis on a sample and has the very prominent advantages in multiple aspects of small needed power, less needed gas amount, no need of toxic reagents, low plasma gas temperature, no pollution to the environment, simplicity and convenience for operation, no need of pre-treating the sample, high detection sensitivity, capability of realizing high-flux online detection and the like.
Owner:SICHUAN UNIV

Sewage treatment method and device thereof

The invention relates to a sewage treatment method and a device thereof. The sewage treatment method comprises that a continuous automatic sand filter is matched with an oil-mud thickening system in use; on the one hand, sewage filtration is performed in the continuous automatic sand filter so as to mainly remove a large amount of suspension and oil in the sewage, and the filtered water is colorless liquid and achieves the oilfield reinjection standard, and on the other hand, the sewage sand is backwashed in the continuous automatic sand filter; and then, the sand washing sewage of the continuous automatic sand filter enters the oil-mud thickening system to be further treated so as to separate the oil and the suspension in the sewage again and obtain sludge and oil only containing trace water, and the treated sand washing sewage is returned to be circularly treated. The continuous automatic sand filter and the oil-mud thickening system are matched in use, and the filtration process and the backwashing process are performed synchronously, so the cleaning for the sewage sand is quite thorough, the yield water has stable water quality and has no pollution, and the oil-mud thickening system can circularly treat the continuously produced sand washing sewage so as to realize zero emission of the sewage.
Owner:吴浩 +1

Single-particle detection system based on Raman and laser-induced breakdown spectroscopy integration

The invention discloses a single-particle detection system based on Raman and laser-induced breakdown spectroscopy integration. The single-particle detection system comprises an objective table, an illumination unit, a microscopic imaging unit, a Raman detection unit and a laser-induced breakdown spectroscopy detection unit. Single particles are placed on the objective table, the positions of thesingle particles can be precisely adjusted in a two-dimensional mode, and the microscopic imaging unit collects images of the single particles. The Raman detection unit comprises a continuous operation laser device and a first spectrograph, the continuous operation laser device irradiates the surfaces of the single particles, excites the vibration mode of molecules contained in the single particles and generates scattered photons with the frequency different from that of the exciting light, and the first spectrograph records a Raman scattering spectrum to analyze molecular information of the single particles. The laser-induced breakdown spectroscopy detection unit comprises a pulse laser and a second spectrograph, the pulse laser generates high-energy nanosecond pulses, and a high-intensity electric field of the pulse laser instantly ionizes particles to be detected and generates plasma to emit light; and the second spectrograph is used for detecting plasma luminescence and analyzing the element components of the to-be-detected single particles.
Owner:TIANJIN UNIV

System and technology for utilizing low-temperature smoke to enhance concentration of brine wastewater

The invention discloses a system and a technology for utilizing low-temperature smoke to enhance concentration of brine wastewater. The system comprises a flue, a first water pump, a wastewater pressurizing pre-heater, a water distributing device, a falling film flash evaporator and a water collecting tank, wherein the water distributing device is arranged at the upper end of the falling film flash evaporator; the water collecting tank is arranged at the bottom of the falling film flash evaporator; the water distributing device and the falling film flash evaporator are both arranged in the flue; the first water pump is used for conveying the pressurized brine wastewater to the wastewater pressurizing pre-heater; the low-temperature smoke in the flue can heat the brine wastewater pressurized in the wastewater pressurizing pre-heater so as to acquire high-temperature high-pressure brine wastewater; the high-temperature high-pressure brine wastewater is uniformly distributed by the water distributing device and then the pressure is reduced and a layer of uniform water film is formed on the falling film flash evaporator; and the water film is in direct contact with the low-temperature smoke in the flue and is evaporated, so that the brine wastewater can be concentrated. According to the invention, the low-grade waste heat energy is utilized to realize the evaporation and concentration of the brine wastewater, so that the wastewater treatment cost is lowered. A new method is supplied for performing low-cost treatment of the brine wastewater.
Owner:SHANDONG UNIV +1

Method for rapidly identifying production place of ham

The invention relates to a method for rapidly identifying the production place of ham. The method comprises the following steps that: volatile components of hams from different producing areas are detected by adopting a gas phase-ion mobility spectrometry; characteristic information of a ham sample by using ion drift time and ion strength corresponding to the compound at different retention timesis characterized, response strength data of a ham standard sample is compared and analyzed by adopting a statistical analysis method to establish a database of volatile organic compounds of hams fromdifferent producing areas; and the volatile compounds of a to-be-detected ham by adopting a gas phase-ion mobility spectrometry with the same parameters are detected, and the volatile compounds of theto-be-detected ham are compared with the established database to determine the production place of the to-be-detected ham. The method can be used for objectively, quickly and accurately analyzing thedifference of flavors of the hams from different producing areas, makes up for the subjective defect in the conventional sensory analysis, fills up the blank that the requirements on evaluation effect and efficiency cannot be met in the conventional detection technology, and can be applied to identification of the producing areas of the hams.
Owner:YUNNAN AGRICULTURAL UNIVERSITY

Method for detecting content of aluminum in potato starch

The invention discloses a method for detecting the content of aluminum in potato starch. The method comprises steps as follows: 1) the content percentage Y of a sample aluminum element is taken as a gradient, and the starch and aluminum potassium sulfate powder are pressed into tablets to serve as detecting samples; 2) laser-induced breakdown spectral data X of each detecting sample are acquired; 3) the wavelengths of all wave crests of a curve of the laser-induced breakdown spectral data X are extracted, and the corresponding wavelength of the aluminum element is found out; 4) the data X are subjected to corresponding preprocessing and marked as X1, data, corresponding to the wavelength of the aluminum element, in X1 are extracted and marked as X2, and the obtained data (X2,Y) are randomly divided into a modeling set S and a predication set S' in proportion; 5) a linear regression model of the aluminum element content percentage and corresponding wavelength intensity of the aluminum is established according to the modeling set S with X2 as input and Y as output by the use of a partial least square method; 6) X2 of the predication set S' in the step 4) is input into the linear regression model in the step 5), and quantitative analysis is performed on the content of the aluminum in the potato starch.
Owner:ZHEJIANG UNIV

Real-time nondestructive detection method for sugar content and acidity of peach

The invention discloses a real-time nondestructive detection method for sugar content and acidity of a peach. The method disclosed by the invention comprises the following steps: collecting a near infrared spectrum of a peach sample; meanwhile, detecting the sugar content and acidity of the peach respectively through a handheld refractometer and a pen type pH (Potential of Hydrogen) meter; carrying out dimension reducing processing and optimization on spectrum data of the peach through main component analysis, an isometric mapping algorithm and a genetic algorithm; finally, classifying through a neural network method and carrying out a plurality of times of identification to determine an optimal predication model. The predication model based on the neural network, which is established by the real-time nondestructive detection method, can be used for predicating the sugar content and acidity of the peach. Compared with a traditional destructive detection method which needs a sample damaging process when the sugar content and acidity of the peach are detected, the real-time nondestructive detection method can be used for simultaneously detecting two indexes including the sugar content and the acidity in real time and has the advantages of rapid speed, low cost, no damages, no need of chemical reagents, no pollution and the like.
Owner:甘肃萃英大农科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products