1535 results about "Chromatography gas" patented technology

The invention discloses an online multi-channel rapid gas chromatographic analysis system and method, particularly relates to the technical field of gas chromatographic analysis, and is used for solving the problems of baseline noise rise and trace component detection precision reduction caused by physical coupling and signal interference when multiple detectors work in parallel in the prior art. Interference signal features of adjacent detection channels are extracted, a chaotic or linear compensation signal is dynamically generated in combination with harmonic primary and secondary sorting and recursive quantization factor analysis, and common-mode interference of a target channel is suppressed. Electromagnetic isolation parameters of a shielding structure are adjusted in real time based on the baseline signal after noise suppression, and accurate matching of impedance and interference spectrum is achieved; further separating time domain overlapped signals and analyzing asymmetric distortion characteristics, and eliminating system errors through normalization calibration; dynamic interference suppression, electromagnetic shielding optimization and signal distortion traceability are combined, the anti-interference capability and analysis precision of multi-channel detection are remarkably improved, and the method is suitable for high-throughput rapid detection scenes of complex samples.

The invention provides a method for determining hydrocarbon components in mixed aromatic hydrocarbons by using comprehensive two-dimensional gas chromatography-mass spectrometry. The method comprises the following steps: optimizing a target function to make a chromatographic peak signal obtained by a separation model accord with a chromatographic separation process mechanism, fully utilizing complementary information of chromatography and mass spectrometry, improving separation precision, and guiding analysis of complex aliasing peaks; analyzing overlapped chromatographic peaks determined by principal component analysis by adopting the established separation model to obtain a chromatographic peak signal representing a single component after separation, and matching the chromatographic peak signal with a corresponding mass spectrum; in combination with a single chromatographic peak signal and a mass spectrum obtained through separation, according to characteristic fragments and chromatographic retention time in the mass spectrum, component types corresponding to chromatographic peaks are judged, and characterization of the composition of the mixed aromatic hydrocarbon is achieved; a separated single chromatographic peak is subjected to quantitative analysis, the content of each component is calculated by adopting an external standard method in contrast with a standard curve, a quantitative result of the mixed aromatic hydrocarbon sample is obtained, and the measurement precision of the mass fraction of each hydrocarbon component is improved.

A semiconductor nanoparticle, a production method, and an electroluminescent device including the same. The semiconductor nanoparticle includes zinc, sulfur, and selenium, and the semiconductor nanoparticle comprises a first semiconductor nanocrystal; and a semiconductor nanocrystal shell including zinc and sulfur disposed on the first semiconductor nanocrystal, and the semiconductor nanoparticle does not include cadmium; the semiconductor nanoparticle further includes a plurality of organic ligands (or a ligand system), that include a first organic ligand having a carboxylate moiety and a second organic ligand having a carboxylate moiety different from the first organic ligand. In a gas chromatography analysis, the semiconductor nanoparticle exhibits a first peak assigned to the first organic ligand and a second peak assigned to the second organic ligand, wherein an area percentage of the first peak relative to the second peak is greater than or equal to about 1% and less than or equal to about 300%.

The invention discloses a method and a system for identifying mixed gas in transformer oil, a product and a medium, and relates to the technical field of testing or analyzing materials by means of measuring chemical or physical properties of the materials, and the method comprises the following steps: acquiring an internal structure diagram of a transformer, determining spatial position relations of parts and corresponding temperature distribution characteristics, and obtaining solubility differences of different spatial positions according to the spatial position relations and the corresponding temperature distribution characteristics. During operation, mixed gas concentration data of a plurality of detection points are collected, initial gas concentration data are recorded when an operation threshold range is deviated, and gas concentration change data are corrected according to solubility differences of different temperature zones. Calculating gas concentration space-time distribution characteristics, and determining a gas accumulation area according to the gas concentration space-time distribution characteristics and a space position relation. And separating the mixed gas components by using a gas chromatographic method, comparing preset gas types with the content of each component, and determining the corresponding gas type of each internal region. By implementing the method, the accuracy of identifying the types of the mixed gas in the transformer oil can be improved.

The invention relates to a method and a system for measuring fragrance components of essence, and relates to the technical field of essence quality identification, and the method comprises the following steps: S1, constructing a liquid chromatography-gas chromatography-supercritical fluid chromatography multi-dimensional combined analysis system, the system comprises a liquid chromatography system, a gas chromatography system and a supercritical fluid chromatography system which are connected in sequence, and S2, carrying out separation detection on essence samples from different sources or formulas by using the liquid chromatography-gas chromatography-supercritical fluid chromatography multi-dimensional combined analysis system to obtain multi-dimensional chromatographic data containing volatile and non-volatile components. According to the present invention, with the liquid chromatography-gas chromatography-supercritical fluid chromatography multi-dimensional combined analysis system, the separation problem of the aroma components with similar structures can be effectively solved, and compared with the traditional technology, the separation degree is significantly improved, and the volatile and non-volatile component information in the essence can be completely obtained.

The invention relates to the technical field of tourism services, in particular to a grease detection device and method for edible oil production and processing, and a system comprises a spectral data acquisition module, a component ratio calculation module, a spectral feature analysis module, a chemical component deviation evaluation module and a smell component fluctuation detection module. According to the method, accurate identification of edible oil component characteristics is improved by using the laser Raman spectrometer, fine analysis of complex components is realized by combining gas and liquid chromatograms and mass spectrometers, release of volatile substances is monitored by the electronic nose sensor, and environmental adaptability and dynamic response capability of data are enhanced. Through automatic abnormal data elimination and normalization processing, the data consistency and standardization level are improved, the accuracy of sample classification and edible oil safety assessment is further improved through multi-parameter ratio calculation and peak position offset analysis, the data processing flow is optimized, automation and intelligence of the detection system are enhanced, and the detection efficiency is improved. And the efficiency and the precision of edible oil detection are obviously improved.

The present disclosure generally relates to a chromatography column adapter for forming a fluid connection between a chromatography column and a GC component. The present disclosure also relates to a fluid connection for a gas chromatography system.

A method and apparatus for the rapid analysis of the molecular components of naphtha. The method comprises: receiving scanning spectrum data of target naphtha (S201); using a calibration spectrogram data set to calibrate the scanning spectrum data, wherein the calibration spectrogram data set is obtained by means of scanning a plurality of naphtha samples under preset detection conditions by using a plurality of spectrometers, and the scanning spectrum data is obtained by means of scanning the target naphtha on the basis of a first scanner among the plurality of spectrometers (S202); and performing, from a preset naphtha molecular composition library, matching to obtain a molecular composition corresponding to the calibrated scanning spectrum data, and obtaining predicted molecular properties of the target naphtha on the basis of the molecular composition, so as to determine macroscopic properties of the target naphtha, wherein the naphtha molecular composition library is obtained by using comprehensive two-dimensional gas chromatography technology (S203). The analysis of fraction molecular components of naphtha fractions and the characterization of macroscopic physical properties of petroleum fractions can be accurately and efficiently implemented.

The invention relates to the technical field of substance detection and analysis, in particular to a method for identifying lactone odor active compounds in milk. According to the method for identifying the lactone odor active compounds in the milk, provided by the invention, the pretreatment of the milk sample is performed by combining the thin-film solid-phase microextraction with the sequential stirring rod adsorption method, and the gas chromatography-sniffing-mass spectrometry technology is matched, so that the sniffing detection rate of the lactone odor active compounds in the milk is remarkably increased; the method has the advantages of high efficiency, strong operability, environmental protection and the like, and has important application value in milk lactone odor active compound detection and milk flavor evaluation.

The invention discloses a method for detecting organic carbon components in soil based on gas chromatography-mass spectrometry, and particularly relates to the technical field of soil detection. The method comprises the following steps: pretreating fresh soil to obtain a fresh soil sample and an air-dried soil sample, respectively extracting organic carbon components to obtain a DOC extracting solution and an LOC extracting solution, and sequentially and respectively carrying out purification treatment, concentration treatment and derivatization on the DOC extracting solution and the LOC extracting solution to obtain a DOC to-be-detected solution and an LOC to-be-detected solution; respectively detecting the DOC to-be-detected liquid and the LOC to-be-detected liquid in a GC-MS instrument to obtain a total ion flow chromatogram, and carrying out qualitative and quantitative analysis to obtain organic carbon component data. Through step-by-step extraction, selective derivatization and GC-MS accurate analysis, molecular level separation, identification and quantification of water-soluble organic carbon DOC and oxidizable organic carbon LOC in soil are achieved, the method is particularly suitable for evaluating contribution of carbohydrate, amino acid and organic acid to the carbon turnover rate, and the method is good in selectivity and high in sensitivity.

The invention relates to a carbon capture absorbent degradation performance evaluation method and a determination device, the method comprises the following steps: accelerating aging degradation of a to-be-detected sample under high pressure oxygen and heating conditions, simulating the oxidation process of an absorbent in long-term operation, and shortening the experimental period; in the test process, the pressure and temperature of the reaction kettle are automatically collected, a pressure-time curve is established, and the degradation resistance of the sample is comprehensively judged according to the pressure drop rate and inflection point time. The method for evaluating the degradation performance of the carbon capture absorbent can be used for rapidly and comprehensively evaluating the sample, and meanwhile, the degradation degree can be analyzed and judged without the help of high-end equipment such as cation chromatography and gas chromatography, so that the method is convenient and efficient; the method is particularly suitable for testing and optimizing the oxidation resistance of novel absorbents such as composite absorbents and phase change absorbents.

The invention relates to a method for simultaneously detecting three related substances in an olpinapone starting material. According to the detection method, the three related substances in an opinapone starting material are simultaneously detected by using a gas chromatographic method of a hydrogen flame ionization detector. According to the detection method, the problem that three related substances cannot be detected simultaneously due to weak ultraviolet absorption and large difference under the liquid chromatography condition can be solved, the matrix effect generated by an opiapone starting material under the gas chromatography condition can be eliminated, the condition that the separation degree of the three related substances is poor is improved, and the detection accuracy is improved while the detection efficiency is improved. And the true and reliable quality of the initial material of the olpinapone is also ensured. The method can be used for simultaneously and quantitatively detecting three related substances higher than 0.02% in the initial material of the opinapone, and is high in sensitivity, good in separation degree, high in practicability and simple and rapid in detection process.

The invention provides an analysis method for high-throughput evaluation of tobacco nicotine synthesis capability, and belongs to the technical field of nicotine synthesis capability analys.The analysis method comprises the steps that tobacco seeds are disinfected, germinated and cultured for 14 days to obtain seedlings, the seedlings are transferred to a control medium and an induction medium added with 3 [mu] M of methyl jasmonate to be cultured for 15 days, and the seedlings are obtained; the method comprises the following steps: removing water from an overground part for 15 minutes at 105 DEG C, drying at 65 DEG C until the weight is constant, grinding the overground part into powder, adding a NaOH solution and ethyl acetate containing an internal standard, carrying out vortex mixing uniformly, carrying out ultrasonication for 15 minutes, taking supernate, filtering to obtain sample extract liquor, inputting peak area data into an intelligent prediction model based on a hierarchical weight mechanism, and processing to obtain prediction correction data, the nicotine concentration of a sample is calculated by combining gas chromatography detection with a standard curve, the concentration is corrected by utilizing predicted correction data, finally, nicotine content data is calculated according to the corrected concentration and the dry weight of the sample, and high-precision evaluation of the tobacco nicotine synthesis capability is realized.

The invention relates to the field of oil and gas exploration and development, and discloses a shale oil chromatography fingerprint identification model, a model construction method and an identification method, and the method comprises the following steps: detecting a plurality of shale oil saturated hydrocarbon samples by using a gas chromatography-mass spectrometry technology to obtain initial detection data; extracting retention time and chromatographic response data from the initial detection data; based on the retention time and the chromatographic response data corresponding to each shale oil saturated hydrocarbon sample, obtaining each initial chromatographic fingerprint time sequence signal, and optimizing each initial chromatographic fingerprint time sequence signal to obtain each target chromatographic fingerprint time sequence signal; and based on a K-Shape algorithm and each target chromatographic fingerprint time sequence signal, constructing a shale oil chromatographic fingerprint identification model. The shale oil chromatographic fingerprint identification model is constructed based on a K-Shape algorithm with a better clustering effect, so that the shale oil saturated hydrocarbon chromatographic fingerprint can be accurately identified by using the shale oil chromatographic fingerprint identification model.

The invention provides a method for detecting micron and nano plastics in soil or sediments and related application. The detection method comprises the following steps: providing a soil or sediment sample to be detected; the method comprises the following steps: pretreating a to-be-detected soil or sediment sample to obtain a to-be-detected solution; performing multi-stage filtration treatment on the solution to be detected to obtain micro-plastic particles in a plurality of particle size intervals; wherein the plurality of particle size intervals comprise a first particle size interval, a second particle size interval and a third particle size interval; the particle size of the first particle size interval is 1-5000 [mu] m; the particle size of the second particle size interval is 220-1000 nm; the particle size of the third particle size interval is 10-220nm; and performing quantitative analysis on the micro-plastic particles in the plurality of particle size intervals through pyrolysis-gas chromatography / mass spectrometry to obtain the mass concentration of the micro-plastic particles in the plurality of particle size intervals. The problem that the risk assessment of micron and nano plastics is not accurate enough at present can be solved to a certain extent.

The invention discloses a GC-MS (Gas Chromatography-Mass Spectrometer) characteristic fingerprint spectrum-based shaddock peel sauce quality monitoring system and method, belongs to the technical field of shaddock peel sauce processing, and particularly relates to production quality monitoring and control of (Lixizhou) shaddock peel sauce. The problems that in an existing GC-MS combined technology, feature marker screening is lack of intelligence, the map stability is limited by environment interference, the system integration degree is low, and the real-time performance is insufficient are solved, and intelligent quality control over the whole shaddock peel sauce production chain is achieved. The system comprises a multi-source data fusion control module; and the multi-source data fusion control module is used for generating a process regulation and control instruction according to the characteristic peaks in the dynamic fingerprint spectrum model, the sensor data after drift correction and the equipment state parameters. The GC-MS characteristic fingerprint spectrum-based shaddock peel sauce quality monitoring system and method are suitable for the production quality monitoring and control of shaddock peel sauce (especially Sizhou shaddock peel sauce).

Methods and systems for carrier gas identification in gas chromatography are described herein. In one aspect, a gas chromatography system can include a pneumatic system including an input flowpath in fluidic communication with a first output flowpath and a second output flowpath; a first flow sensor configured to generate a flow measurement signal corresponding to a first property of a gas; a second flow sensor configured to generate a second flow measurement signal corresponding to a second property of the gas different than the first gas property; and a controller programmed to: determine the first flow measurement signal for the flow of gas through the pneumatic system; determine the second flow measurement signal for the flow of gas through the pneumatic system; and identify a type of gas for the flow of gas through the pneumatic system from the first and second flow measurement signals.

The invention discloses a food safety monitoring system and a monitoring method thereof, and relates to the technical field of food safety monitoring, and the method comprises the following steps: building a sealing integrity real-time acoustic monitoring link, obtaining an acoustic signal generated by trace leakage through a phase locking algorithm, and building a pressure differential matrix based on the acoustic signal; and inputting the pressure differential matrix into a constructed gas chromatography digital twinborn model, deducing a dynamic evolution process of a carrier gas flow field, and extracting an instantaneous flow velocity critical threshold under the current working condition. According to the invention, real-time prediction and regulation of gas chromatography flow velocity disturbance are realized through acoustic monitoring and digital twinborn modeling, magnetic fluid adjustment and temperature compensation are combined, retention time drift is inhibited, and detection stability and robustness are improved. Meanwhile, a self-adaptive peak position tracking and dynamic window adjusting mechanism is introduced, a chromatographic peak position is accurately recognized, errors are fed back to a front-end sensing link, a closed-loop optimization process is constructed, and the accuracy and reliability of food additive detection are guaranteed.

A method for evaluating an unknown gas sample includes acquiring a chromatogram of the unknown gas sample and processing the chromatogram to identify a peak. The peak is evaluated to determine if it is representative of a single gas species in the unknown gas sample. The peak is fit with at least first and second curves when the peak is not representative of a single gas species. First and second areas under the corresponding first and second curves are computed and processed to compute a composition of the unknown gas sample or a ratio of concentrations of individual gases in the unknown gas sample.

The invention belongs to the technical field of biological detection, particularly relates to a gold nano pumpkin array, and relates to an SERS (Surface Enhanced Raman Scattering) sensor of a gastric precancerous lesion biomarker as well as a preparation method and application thereof. The preparation method of the gold nano pumpkin arrays (Au NPAs) comprises the steps that a PS single-layer template is obtained through a gas-liquid interface self-assembly technology, the PS single-layer template is sequentially subjected to plasma etching technology treatment, annealing treatment and ion sputtering treatment, and the gold nano pumpkin arrays (Au NPAs) are obtained. The SERS sensor and the SERS microarray chip constructed on the basis of the gold nano pumpkin array show excellent chemical stability, high molecular specificity and excellent reproducibility, ultra-trace detection of gastric cancer precancerous lesion biomarkers miR-196b and miR-221 is realized, and technical support is provided for early discovery, timely intervention and treatment of GC (Gas Chromatography).

The invention discloses a method for segmenting different strata series of stratified shale and identifying oiliness, and belongs to the field of oil-gas exploration. The invention discloses a strata division method based on XRF (X-Ray Fluorescence) mineral scanning and single polarization-fluorescence-laser confocal optical lens combined observation, which realizes accurate identification and segmentation of micron-sized strata boundaries of a layered rock core sample from different scales, and performs group component extraction on segmented independent strata. And carrying out chromatography-mass spectrometry analysis and FT-ICR MS analysis on the extracted saturated, aromatic, non-aromatic, leached and other family components. The TSF spectrum, light and heavy components, biomarker compounds, non-hydrocarbon compounds and other data obtained through the experiments are comprehensively analyzed, layering scale oiliness difference quantification and oil source comparison are achieved, and the shale oil micro-migration phenomenon is determined. The influence of the heterogeneity of the layered rock core sample on a result obtained by a traditional analysis method is overcome. According to the technology, direct evidences are provided for accurate prediction of shale oil desserts, exploration risks are reduced, and economic benefits are improved.

A method for quality control checking a gas chromatography apparatus at a rig site, the GC apparatus including at least a main column and a makeup flow line in fluid communication with a detector manifold. The GC apparatus measures a first chromatogram of a gas sample with a first makeup gas flow rate and a second chromatogram of the gas sample with a second makeup gas flow rate, wherein the second makeup gas flow rate is greater than the first makeup gas flow rate. The elution times of at least one common peak in the first and second chromatograms are compared to indicate a leak or an obstruction in the makeup flow line or the detector manifold.

The invention discloses a method for determining volatile organic compounds in surface water by purging and trapping and gas chromatography-mass spectrometry, which comprises the following steps: acquiring mass spectrometry data of volatile organic compounds in a surface water sample, and separating and detecting a multi-component mixture in a complex matrix by gas chromatography-mass spectrometry, obtaining an original data set containing retention time and mass spectrum information; according to an output result of the classification model, carrying out qualitative analysis on unknown compounds in a to-be-detected sample, and if the classification probability is greater than a preset threshold value, determining the types of the compounds to obtain an accurate qualitative recognition result; and establishing a concentration standard curve by adopting a corresponding quantitative ion peak area according to a target compound confirmed in the qualitative identification result, and calculating a linear relation parameter between the peak area and the concentration to obtain a regression equation for quantitative analysis.

The invention mainly relates to the technical field of spectral analysis, and provides a white spirit brewing spectral analysis method and system based on a multi-modal large language model in order to efficiently and accurately obtain white spirit brewing information according to multi-modal spectral data of all links of white spirit brewing. The method is characterized by comprising the following steps of: collecting multi-mode spectrum data including gas chromatography data, infrared spectrum data and Raman spectrum data in each link of white spirit brewing; converting the multi-modal spectral data and the natural language instruction into a feature embedding vector which can be recognized by a large language model to train the large language model which is finely adjusted based on professional knowledge in the field of white spirit, and receiving a question of a user in a natural language instruction form by the trained large language model; wine making analysis tasks such as flavor compound identification, key microorganism detection, fermentation state evaluation and base wine quality grading are carried out, and finally analysis results and wine making process optimization suggestions are output in a natural language form, so that the accuracy and efficiency of spectrum data interpretation in the white wine making process are improved.

The invention discloses a phase transfer catalyst of metal ion complexing crown ether for efficiently preparing aquacide dichloride and application of the phase transfer catalyst. The catalyst is prepared by taking crown ethers as 18-crown-6 and dicyclohexyl-18-crown-6 ether and complex ions as lewis acid active components such as potassium ions, lithium ions, cobalt ions, copper ions and the like through a direct chemical method. The catalyst synergistically catalyzes a nucleophilic substitution reaction of a pyridine derivative and alkyl halide in an aprotic polar solvent such as acetonitrile or nitrobenzene, and synthesis of diquat dichloride can be realized under the conditions of 60-140 DEG C, normal pressure and no oxygen. The mass ratio of the pyridine derivative to the catalyst to the solvent in a reaction system is 1: (0.001-0.05): (5-8), and real-time monitoring and regulation are performed through an online infrared spectrum, a liquid chromatograph and a gas chromatograph-mass spectrometer. The purity of the product is more than 99% after the product is subjected to filtration, recrystallization with an ethanol-water mixed solvent and vacuum drying. The catalyst provided by the invention has the characteristics of high activity, strong stability and recoverability, obviously improves the atom economy of the reaction, simplifies the production process, reduces the energy consumption and pollution, and is suitable for large-scale industrial production.

The invention discloses a method for detecting 18 phthalic acid ester substances in brewed sauce, which specifically comprises the following steps: step 1, obtaining a sample of the brewed sauce to be detected, adding a phthalic acid ester substance internal standard working solution containing deuterated isotope and water, uniformly mixing, adding sodium chloride and acetonitrile, continuously uniformly mixing, and detecting the content of the phthalic acid ester substances in the brewed sauce to be detected; carrying out ultrasonic extraction treatment for 5-15 minutes, adding an ultrasonic extracting solution into a mixture of PSA, C18 and MgSO4, and carrying out centrifugal treatment to obtain supernate; 2, carrying out nitrogen blowing on the supernate until the supernate is nearly dry, and fixing the volume by using normal hexane to obtain a sample to be detected; and step 3, detecting by adopting a gas chromatography-tandem mass spectrometer isotope internal standard method.

The invention discloses an analysis method for simultaneously detecting organochlorine pesticide and polychlorinated biphenyl, which comprises the following steps of: simultaneously extracting organochlorine pesticide and polychlorinated biphenyl in a water sample by adopting a mixed extraction solvent, dehydrating, concentrating and fixing the volume of extract liquor, separating and measuring by adopting a gas chromatography-mass spectrometry method, and quantifying by adopting an internal standard method. When the mixed extraction solvent is n-hexane / dichloromethane with the volume ratio of 9: 1 and 1% by mass of polyethylene glycol 4000 is added, the recovery rates of water samples with the measured concentrations of 5.00 ng / L, 20.0 ng / L, 40.0 ng / L and 80.0 ng / L are 83.6%-95.4%, 91.2%-105.6%, 93.5%-104.7% and 92.8%-106.9% respectively, the relative standard deviations are 6.1%-9.2%, 3.3%-8.2%, 3.2%-6.3% and 3.4%-7.5% respectively, compared with the prior art, the extraction efficiency is remarkably improved, and the method has the advantages that the method is simple, the cost is low, and the method is suitable for industrial production. The accuracy and precision of the method completely meet the determination and analysis requirements for measuring complex water samples.

The invention relates to the technical field of analysis and detection, in particular to a method for simulating and detecting micro / nano plastic released by food contact plastic products. The method provided by the invention aims at the blank of the existing food-source micro-plastic detection system, simulative component liquid is collected by simulating the contact between food components and food plastic products, micro-nano plastics are separated through a 1m filter membrane, and micro-sized plastics on the filter membrane are qualitatively and quantitatively detected by adopting a microscopic infrared spectrum and a scanning electron microscope. The water sample under the filter membrane is subjected to qualitative and quantitative treatment on the nano-plastic by a thermal cracking-gas chromatography-mass spectrometry combined technology and a nano-particle tracking analyzer, so that programmed comprehensive detection is realized. According to the method, the amount and what kind of micro-nano plastic can be released by the plastic product in a real use chain are more clearly revealed, support is provided for a market supervision system, health and life safety of the masses are guaranteed, and the method has a good application prospect.

The invention provides a method for preparing alkane olefin by catalyzing microalgae pyrolysis through an alkali modified molecular sieve, and belongs to the field of biomass energy utilization. According to the method, the ZSM-5 molecular sieve raw powder is modified by adopting the alkaline solution, so that the pore structure of the ZSM-5 molecular sieve can be improved, the distribution of acidic sites can be optimized, the regulation and control of a microalgae pyrolytic reaction path can be realized under relatively mild conditions, the deoxidation reaction can be promoted, the content of oxygen-containing products can be reduced, and the generation of alkane olefin substances can be promoted; the aromatization reaction strength is reduced, and the selectivity of light hydrocarbons is improved, so that the content of alkanes and olefins in the pyrolysis bio-oil reaches 70% or above, and the quality of the pyrolysis bio-oil is remarkably improved. Results of the embodiment show that the pyrolysis bio-oil provided by the invention is subjected to gas chromatography-mass spectrometry detection, and the alkane-olefin peak area content is greater than 70%.