16 results about "Olea europaea leaf" patented technology

The application provides a kind of dynamic monitoring method and system of olive leaf polyphenol components based on principal component analysis, it is related to computer technology field, comprising: obtaining original data;According to the original data, the spectrum interval is separated, and the purified polyphenol characteristic spectrum sequence is obtained;According to the purified polyphenol characteristic spectrum sequence, spectral deconvolution processing is carried out, and the polyphenol subcomponent concentration evolution matrix is obtained;According to the polyphenol subcomponent concentration evolution matrix, the principal component is reconstructed, and the reconstruction result is obtained;According to the reconstruction result, track fitting is carried out, by fitting the principal component score track into the kinetic network model containing hydroxytyrosol glycoside hydrolysis and oxidative condensation step, the fitting result is obtained;According to the fitting result, prediction is carried out, the evolution end point of hydroxytyrosol free state content and its derivative relative proportion is predicted, and the dynamic monitoring result is obtained.The application realizes the accurate monitoring and prediction of the dynamic conversion process of specific polyphenol components such as hydroxytyrosol glycoside and oleuropein in olive leaves.

The invention discloses a composition for preventing and treating non-alcoholic steatohepatitis and preparation and application thereof.The preparation method includes the steps that olive leaves and boxthorn leaves serve as raw materials and are extracted, concentrated and filtered, and then an olive leaf extract with the oleuropein content larger than 50% and a boxthorn leaf extract with the total flavone content larger than 60% are obtained through macroporous resin separation and purification; and mixing different olive leaf extracts and boxthorn leaf extracts according to a certain ratio to obtain the composition for preventing and treating the non-alcoholic steatohepatitis, wherein the composition has a remarkable synergistic effect in prevention of the non-alcoholic steatohepatitis.

The invention provides an olive leaf polyphenol component dynamic monitoring method and system based on principal component analysis, and relates to the technical field of computers, and the method comprises the following steps: obtaining original data; performing spectrum interval separation according to the original data to obtain a purified polyphenol characteristic spectrum sequence; performing spectrum deconvolution processing according to the purified polyphenol characteristic spectrum sequence to obtain a polyphenol subcomponent concentration evolution matrix; performing principal component reconstruction according to the polyphenol subcomponent concentration evolution matrix to obtain a reconstruction result; performing trajectory fitting according to a reconstruction result, and fitting a principal component score trajectory into a dynamic network model containing hydroxytyrosol glycoside hydrolysis and oxidative condensation steps to obtain a fitting result; and performing prediction according to the fitting result, predicting an evolution end point of the free-state content of hydroxytyrosol and the relative proportion of the hydroxytyrosol derivative, and obtaining a dynamic monitoring result. According to the method, the dynamic conversion process of specific polyphenol components such as hydroxytyrosol glucoside and oleuropein in the olive leaves is accurately monitored and predicted.

The present application relates to the field of image processing technology, and specifically to an olive leaf profile analysis method and system based on image processing. First, a standard model for olive leaf profile analysis is constructed, and then a comparison grayscale image of the leaf to be analyzed is obtained, and a leaf profile diagram of the leaf to be analyzed is separated from the image; then, the actual aspect ratio, actual symmetry, and actual circularity of the leaf to be analyzed are calculated from the leaf profile diagram, and a weighted judgment index is generated based on the actual aspect ratio, actual symmetry, and actual circularity. Finally, a comparison analysis result of the leaf to be analyzed is output based on the weighted judgment index and the standard model. The present application realizes automatic sampling and automatic recognition of olive leaves, which effectively reduces the workload of staff and can effectively improve analysis efficiency. Compared with traditional manual analysis, the present application adopts a unified standard for analysis, which can effectively avoid the influence of the subjective feelings of technicians on the analysis and improve the objectivity of the analysis.

The invention relates to an exosome compound as well as a preparation method and application thereof, and belongs to the technical field of plant extract processing. The preparation method of the exosome compound comprises the following steps: (1) respectively crushing and mixing highland barley and sunflower seeds, and sequentially carrying out two-stage enzymolysis by adopting alkaline protease and papain to obtain a polypeptide solution; (2) crushing olive leaves, homogenizing with a buffer solution, and then separating and purifying to obtain an olive leaf exosome; and (3) entrapping the polypeptide solution in the olive leaf exosome at 0-4 DEG C by a segmented ultrasonic method to obtain the exosome compound. A polypeptide solution can be efficiently and stably entrapped in the exosome; meanwhile, the olive leaf exosome is matched with a polypeptide solution extracted by compounding highland barley and sunflower seeds, so that the long-acting moisturizing, repairing, soothing and anti-aging effects are achieved.

The invention relates to the technical field of image processing, in particular to an olive leaf profile analysis method and system based on image processing, and the method comprises the steps: firstly constructing a standard model for olive leaf profile analysis, then obtaining a comparison gray scale picture of a to-be-analyzed leaf, and separating a leaf profile graph of the to-be-analyzed leaf from the comparison gray scale picture; the actual length-width ratio, the actual symmetry degree and the actual circularity of the to-be-analyzed blade are calculated from the blade profile graph, a weighted judgment index is generated according to the actual length-width ratio, the actual symmetry degree and the actual circularity, and finally a comparison analysis result of the to-be-analyzed blade is output according to the weighted judgment index and the standard model. According to the method, automatic sampling and automatic identification of the olive leaves are realized, the working intensity of workers is effectively reduced, meanwhile, the analysis efficiency can be effectively improved, and compared with traditional manual analysis, the method adopts a unified standard for analysis, so that the influence of subjective feeling of technicians on analysis can be effectively avoided, and the analysis efficiency is improved. And the objectivity of analysis is improved.

The utility model discloses an olea europaea leaf crushing device, which relates to the technical field of olea europaea leaf processing equipment, and comprises a device body and a feed port on the top surface of the device body, the device body is internally provided with a crushing assembly capable of crushing olea europaea leaves; and a screening assembly capable of conducting multi-stage screening on the crushed olive leaf crushed materials is arranged in the device body, and a power assembly capable of promoting the crushing assembly and the screening assembly to operate at the same time is arranged on the surface of the device body. According to the olive leaf crushing and screening device, the crushing assembly can be promoted to work through the power assembly so as to crush olive leaves, and meanwhile, after the olive leaves are crushed, the screening assembly can be driven by the power assembly to operate so as to perform multi-stage screening on the crushed olive leaves, so that particles and impurities with different sizes can be separated out; therefore, the product quality can be improved, and the efficiency of the downstream processing process, such as extraction, refining and the like, can also be improved.

The present invention relates to the technical field of exosome extraction, and specifically relates to an olive leaf exosome, a preparation method therefor, and a use thereof. A preparation method for an olive leaf exosome is provided, comprising: mixing an olive leaf with a separation buffer, and then performing cell disruption to obtain a cell lysate; centrifuging to obtain a supernatant; and filtering the supernatant. The provided preparation method can, for example, solve problems existing in the preparation process of olive leaf exosomes, such as oil interference, low recovery rate and insufficient purity.

The invention relates to the technical field of natural product extraction, in particular to a method for extracting high-content oleanolic acid from olive leaves, which comprises the following steps: drying fresh olive leaves, crushing, extracting raw materials by using an ethanol solution through a hot reflux method, and filtering to obtain an oleanolic acid extract; concentrating the filtrate into extract, performing alkaline dissolution and acidification precipitation to obtain a crude product, performing macroporous resin adsorption purification, silica gel column chromatography and recrystallization purification treatment on the crude product in sequence, and performing vacuum drying to obtain the high-content oleanolic acid. Through the combination of the steps of macroporous resin purification, silica gel column chromatography, recrystallization and the like, the purity of the oleanolic acid can reach 95% or above, and the high-purity requirements in the fields of medicine, food and the like are met. And through mechanical application of the solvent and optimized process steps, the use amount of the solvent and production procedures are reduced, and the production cost is reduced. In addition, ethanol is adopted as a main extraction solvent, and the ethanol is volatile and environment-friendly, so that the pollution to the environment is reduced.

The application belongs to the technical field of plant extraction, and particularly relates to a preparation method of oleuropein. The method comprises the following steps: chopping and ultrafine grinding olive leaves to obtain raw material particles, performing flash extraction, filtering to obtain a filtrate, performing membrane filtration to collect a cut-off liquid and a membrane filtration liquid, contacting the membrane filtration liquid with a resin, performing elution, concentrating and drying to obtain a dry sample, recrystallizing to obtain chlorogenic acid; concentrating the cut-off liquid, then performing centrifugal treatment to obtain a precipitate and a supernatant, uniformly mixing the precipitate with a calcium oxide solution, performing suction filtration to obtain a filtrate, and performing crystallization to obtain rutin; performing chromatography on the supernatant, performing elution, collecting an eluate, and removing a solvent to obtain hydroxyoleuropein and oleuropein. The product obtained by the preparation method has an oleuropein content of more than 70%, is water-soluble, is white in color, can be widely applied in various applicable fields, and can comprehensively utilize olive leaves and obtain multiple effective functional components from raw materials.

The invention provides an olive leaf component seasonal change trend prediction method and system, and relates to the technical field of computers, and the method comprises the steps: obtaining original spectral absorbance data and original meteorological data of a target variety of olive leaves; performing component specific signal separation according to the original spectral absorbance data to obtain a pure change track; performing environmental stress mode decomposition according to the original meteorological data and the pure change trajectory to obtain a differential driving function; performing metabolism resource distribution network evolution according to the differential driving function to obtain structural emergence characteristics; performing phase space reconstruction according to the structural emergence characteristics and the pure change trajectory to obtain a phase space geometric descriptor; and performing optimal harvesting window decision according to the phase space geometric descriptor, and predicting an optimal sampling time interval in the current growth cycle. Reliable technical support is provided for efficient utilization of olive leaf resources.

The invention discloses a method for extracting and purifying high-purity oleuropein from olive leaves. The olive leaves are crushed, and then ethanol is added and heated under reflux for extraction to obtain a crude oleuropein extract; the crude oleuropein extract is enriched by macroporous adsorption chromatography to obtain an oleuropein enrichment; the oleuropein enrichment is separated and purified by gel column chromatography to obtain a crude oleuropein product; the crude oleuropein product is separated and purified by ODS medium-pressure column chromatography to obtain a refined oleuropein product; and the refined oleuropein product is freeze-dried to obtain high-purity oleuropein (purity>98%). The method for extracting and purifying oleuropein of the present invention is simple in process, short in cycle, suitable for large-scale production, and has high product purity, which can meet the demand for high-purity oleuropein in industries such as medicine.

The application provides a multi-layer penetration controlled-release acid preparation and a preparation method thereof, and belongs to the field of cosmetics. The preparation is composed of Aspergillus oryzae fermentation substrate freeze-dried powder, composite alpha-hydroxy acid, salicylic acid, poloxamer 407, polyhydric alcohol and non-ionic surfactant. The freeze-dried powder is obtained by co-fermenting olea europaea leaves and curcuma and refining through ultrafiltration. A temperature-sensitive phase change system is constructed by using poloxamer, so that the product is changed from a liquid state to a gel state at body temperature, and the synergistic controlled release of acid components and bioactive substances is realized. The preparation process adopts low-temperature swelling and vacuum freeze-drying technology, so that the stability of the system and the efficiency of the active substances are ensured. The application significantly reduces the irritation of high-concentration acid, improves the black suppression and repair effect, and is suitable for precise improvement of hyperpigmentation problems such as chloasma.

The present application relates to an antibacterial product based on olive leaf extract, belonging to the technical field of antibacterial care. The product is based on olive leaf extract rich in polyphenol active ingredients, combined with bacteriostatic polypeptides derived from Xenopus laevis as the core active component, to achieve synergistic antibacterial effect. Studies have shown that the combination has rapid and strong inhibitory and killing ability on common pathogenic microorganisms such as Staphylococcus aureus and Candida albicans, and is significantly better than single component. In vitro test results show that the product can achieve strong bacteriostatic and bactericidal effect in a short time, and has certain sustained bacteriostatic ability. Compared with traditional antibiotics or single plant extract, the present application improves the antibacterial efficiency and reduces the risk of drug resistance through the synergistic mechanism of "natural plant matrix + functional polypeptide", and has good safety and microecological friendliness, and is suitable for daily care and infection protection of female reproductive system.

The application belongs to the technical field of exosome application, and discloses an exosome composition for preventing hair loss and fixing hair. The exosome composition is obtained by adding plant exosomes in animal stem cell culture, and it is found that the plant exosomes can significantly promote the secretion of animal stem cell exosomes. On this basis, a scheme for constructing the exosome composition for preventing hair loss and fixing hair is constructed. The exosome composition is obtained by mixing fat stem cell exosomes secreted by fat stem cells treated by curcuma exosomes, urine source epithelial stem cell exosomes secreted by urine source epithelial stem cells treated by olea europaea leaf exosomes and biota leaf exosomes according to weight proportions of 1-2:2-5:2-3. The exosome composition can significantly promote hair papilla cell proliferation, has a significant effect on preventing hair loss and fixing hair, has a large number of plant exosomes, can be regenerated, can significantly reduce the use amount of animal stem cell exosomes, and has a better effect after combination, and has a wide application prospect.

The application provides a kind of olive leaf component seasonal change trend prediction method and system, related to computer technology field, comprising: obtaining the original spectral absorbance data of target variety olive leaf, and original meteorological data;According to the original spectral absorbance data, component-specific signal separation is carried out, to obtain pure change trajectory;According to the original meteorological data and pure change trajectory, environmental stress modal decomposition is carried out, to obtain differential driving function;According to the differential driving function, metabolic resource allocation network evolution is carried out, to obtain structural emergent features;According to the structural emergent features and pure change trajectory, phase space reconstruction is carried out, to obtain phase space geometric descriptor;According to the phase space geometric descriptor, the best harvesting window decision is made, to predict the best sampling time interval in the current growth cycle.The application provides reliable technical support for the efficient use of olive leaf resources.