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

The invention relates to a preparation method of a high-temperature composite phase change heat storage material, and relates to a high-temperature composite phase change heat storage material and a preparation method thereof. The method can be used for preparing high-temperature composite phase change heat storage material with high heat conductivity, so that the heat conductivity of the heat storage material is greatly improved, and the heat storage / release rate is greatly improved; and the preparation method is easy to control and simple to operate. The heat storage material can be directly obtained by sintering, without need of any bonding agent or other protectants, so that the heat-conducting property of the heat storage material is greatly improved, and the utilization ratio of the heat storage material is improved; the preparation method is simple to operate; and the prepared product can also be used for other intermediate-temperature low-temperature composite heat storage materials, as well as light heat utilization, heat-cold-electricity combined use, composite material synthesis and other many fields.

The present invention provides a method for efficiently preparing graphene-like carbon nitride. The method is characterized by comprising: using a nitrogen-rich organic matter as a raw material, adding a microwave absorbing agent, mixing, placing into a ceramic crucible, placing the crucible into the center of an industrial high-energy resonant cavity, vacuumizing, and carrying out high-energy microwave irradiation heating so as to rapidly and efficiently prepare the graphene-like carbon nitride. According to the present invention, the obtained graphene-like carbon nitride has characteristics of high specific surface area, high yield and high purity, and can be used in the fields of degradation of organic matters, hydrogen production through photolysis of water, catalyst carriers, biomedical sensors, and the like.

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.

The invention relates to a preparation method of carbon quantum dots based on amino acid and an application of carbon quantum dots in direct detection of metal ion concentration. The method comprises the following specific steps: uniformly mixing amino acid and distilled water, rapidly adding the uniformly-mixed solution (amino acid is dissolved in distilled water) into a round-bottom flask filled with phosphoric pentoxide, rapidly plugging the bottleneck so as to obtain water-soluble carbon quantum dots, and applying the prepared carbon quantum dots in detection of metal ion concentration by a fluorescence quenching method. The synthetic method provided by the invention has a simple process, and reagents and raw materials are green and nontoxic. The prepared carbon quantum dots have characteristics of high quantum yield, strong light stability, good water-solubility and the like. Based on the quantum dots, a simple, rapid and sensitive method for metal ion quantitative detection can be established.

The invention relates to a fluorescent sensing material with sensing function to phenyl amine compounds, the method and the application thereof. The invention is characterized in that: Aryl is connected with pyridyl to form fluorescent sensing material, the fluorescent sensing material comprises line type, star type and dendritic aryl pyridine; the number of the pyridine units is a positive integer from 1 to 150. The preparation method comprise two steps: synthesizing aryl boric acid or boron ester compound and synthesizing aryl pyridine compound. The fluorescent sensing material provided in the invention is used to detect phenyl amine compounds.

The invention discloses a preparation method of nano-fiber poly-aniline. In the method, an aniline monomer and inorganic acid are used as raw materials to prepare the nano-fiber poly-aniline through oxidative polymerization by using an electrochemical unipolar pulse method under a room temperature condition. The preparation method is simple to operate, needs no oxidant and gets rid of secondary pollution caused by the oxidant. A product prepared by the method has high electrochemical stability and super capacitive performance.

The invention provides a method for preparing reusable oil-absorbing sponge and belongs to the technical field of selective absorbing materials and environmental protection. The oleophilic and hydrophobic performances of the sponge are improved by material modification. The method comprises the steps of soaking melamine sponge into ethanol solution containing SiO2 nano particles; after the treatment is performed for a period of time, selecting an appropriate silane coupling agent to modify the sponge; drying the sponge until a constant weight, and obtaining the reusable hydrophobic and oleophilic melamine sponge. The modified sponge material manufactured through the method has obvious hydrophobic and oleophilic performances, and oil-water selectivity of the modified sponge material is improved remarkably. The material can float on the water surface and is reusable. The sponge is placed on an oil-water interface and only absorbs oil and does not absorb water, and continuous oil absorption can be performed after a vacuum device is connected. According to the method, the raw material is easy to obtain, the operation is simple, and reaction conditions are mild.

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.

The invention belongs to the field of petroleum exploration and development and particularly relates to a system and a method for detecting by applying a Raman spectrum technology in the gas detection process of oil-gas logging. A Raman spectrum gas detection system comprises a sample pretreatment device, a Raman gas analyzer, a data signal processing module, a data communication module, a signal output display unit and a master control unit, wherein the sample pretreatment device is connected with the Raman gas analyzer and is used for inputting the pretreated gas in the Raman gas analyzer for analyzing components; the Raman gas analyzer is used for inputting the analyzed result to the data signal processing module; the data signal processing module is used for outputting the analysis result to the signal output display unit through the data communication module; and the master control unit is used for controlling the inputting of sample gas.

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.

The invention belongs to the technical field of fault diagnosis of electrical equipment and relates to an in-situ detection method of fault characteristic gas dissolved in transformer oil. According to the method, single frequency single-mode-based transverse mode (TEM00) laser having wavelength of 532 nm irradiates a standard oil sample, the laser passes through a first high-pass filter and a space filter unit and then passes through a second high-pass filter and a lens, a Raman spectrum acquisition device acquires a standard oil sample Raman spectrogram, and after modeling, ethylene, acetylene and carbon dioxide concentrations in the oil sample to be detected are determined without oil and gas separation. The method has high accuracy and simple processes, can directly detect concentration of multiple fault characteristic gas dissolved in transformer oil and improves the accuracy of fault prediction.

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.

The invention provides a catalyst for removing nitrogen oxide in emission exhaust and a preparation method thereof. The catalyst comprises a first component oxide, a second component oxide, a third component oxide and a molding auxiliary. The preparation method comprises the following steps of: burdening and mixing, kneading, pugging, extruding, drying and roasting. The catalyst provided by the invention can be used as a reducing agent for ammonia gas so as to selectively catalyze and reduce the nitrogen oxide discharged from a coal-fired power plant.

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.

The invention discloses a nonlinear finger-print detection method for traditional Chinese medicine fructus forsythiae. The method comprises the following steps: A) establishing a nonlinear finger-print of the chemical component of fructus forsythiae, taking fructus forsythiae produced in same place and in same brand as a standard sample and establishing the nonlinear finger-print of the chemical component through chemical oscillation reaction; B) detecting the sample, taking a to-be-detected fructus forsythiae sample, detecting under the same condition of the standard sample, acquiring the finger-print of the detected sample, directly observing the two finger-prints and taking Origin software analysis as determining basis; C) viewing reproducibility, taking the to-be-detected fructus forsythiae sample and determining the finger-print thereof, wherein various characteristic parameters RSD of the detected nonlinear finger-print are less than 3%, so that the method has excellent reproducibility.

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.

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.

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.

The invention discloses an easy-to-pull removable double-sided adhesive tape of a TPU base material. The adhesive tape comprises the following components in parts by mass: 80-150 parts of rubber raw materials, 75-130 parts of tackifying resins, 100-350 parts of toluene, 0.1-5 parts of adhesion promoters and 5-15 parts of color paste. The adhesive tape of the TPU base material is a double-sided fixing adhesive tape with higher adhesive strength, can be used after stripping release paper or laminating release films when in use, can be removed only by stretching the adhesive tape when needed, andcan bring great convenience to workers in the maintenance of electronic components.

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.

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.

The invention discloses easy-to-pull removable adhesive tape with a thermoplastic elastomer base material which is a styrene segmented copolymer thermoplastic elastomer base material. The adhesive tape is prepared from the components in parts by mass: 80-150 parts of styrene segmented copolymer thermoplastic elastomers, 75-130 parts of tackifying resin, 100-350 parts of methylbenzene, and 5-15 parts of color paste. The adhesive tape with the thermoplastic elastomer base material is double-faced fixing adhesive tape with high bonding strength, can be used by being pasted after release paper ora release film is peeled off and can be removed by being pulled as needed, so that repairing and maintenance of electronic elements are convenient and rapid.

The invention relates to a method for recycling the valuable element from the zinc kiln slag. The method comprises the steps as follow: the raw material zinc kiln slag is grinded to a granularity of minus -0.074 millimeter, and the zinc kiln slag has a weight ratio of 50 to 75 percent; the mixture is sent to a high temperature furnace for melting after adding cokes which is 2 to 10 percent of the raw material and fully mixing the CaF2, CaO and SiO2 with a weight ratio of 1: 1: 1; the melting temperature is controlled from 1200 DEG C to 1350 DEG C and the melting time is controlled from 30 minutes to 60 minutes; and then metallographic phase, flue phase and slag phase are gained. Metallic iron and metallic copper can be layered from metallographic phase; lead and zinc can be recycled from the flue; and silicon and calcium element can be recycled from the slag phase. The invention achieves the separation and collection of the valuable elements such as copper, iron, zinc and plumbic from the zinc kiln slag.

The invention relates to the field of waste gas purification, and discloses a photo-oxygen catalysis waste gas purifying device. The device comprises a gas purification tank, an exhaust pipe, and a qualified gas discharge port. The qualified gas discharge port and the gas purification tank are connected through the exhaust pipe. A blower is arranged in the exhaust pipe. Ultraviolet ray emission pipes are arranged in the gas purification tank. The ultraviolet ray emission pipes are fixed in the gas purification tank on the side facing the exhaust pipe through a fixing rack. A microwave generator is arranged in the gas purification tank. The microwave generator is electrically connected with a control panel arranged at a middle part. The control panel controls the on / off of the microwave generator. A photo-catalyst coating is arranged on the inner surface of the gas purification tank. The gas purification tank has a mesh structure on the side facing the exhaust pipe. With the device provided by the invention, ordor gas, toxic substances and harmful substances can be thoroughly removed. Also, waste gas purification treatment efficiency is improved.

The invention discloses a preparation method of nano-fiber poly-aniline. In the method, an aniline monomer and inorganic acid are used as raw materials to prepare the nano-fiber poly-aniline through oxidative polymerization by using an electrochemical unipolar pulse method under a room temperature condition. The preparation method is simple to operate, needs no oxidant and gets rid of secondary pollution caused by the oxidant. A product prepared by the method has high electrochemical stability and super capacitive performance.

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.

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.

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.

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.

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.