40 results about "RAPE HONEY" patented technology

The invention discloses a method for identifying rape honey and vervain family honey. The method is characterized by comprising the following steps of 1, constructing an identification model by treating provided samples of rape honey and vervain family honey, determining content of amino acids obtained by honey protein hydrolysis, wherein the number of each kind of the samples is greater than or equal to 15, setting Y variables as classified variables, setting values of the Y variables of rape honey and vervain family honey respectively as 0 and 1, setting a threshold value as 0.5, carrying out linear regression of the determined amino acid content and the classified variables of the samples by a partial least square discriminant analysis method, and building the identification model, and 2, carrying out identification by treating honey needing to be identified, determining content of amino acids obtained by honey protein hydrolysis, carrying out identification by the identification model obtained by the step 1 according to the determined amino acid content, and determining if the identified honey belongs to rape honey or vervain family honey. The method can effectively identify rape honey and vervain family honey.

The invention relates to a honey detection method based on support vector machine algorithm optimization. The honey detection method comprises the following steps: selecting 5 different honey sources including oilseed rape honey extracted from Fuling district and Yongchuan district of Chongqing of the western China, honey of lychee flowers extracted from Nanning of Guangxi of the south China, chaste honey extracted from Miyun of Beijing of the north China, acacia honey extracted from Laiyang of Shandong and basswood honey extracted from Dunhua of Jilin and Harbin of Heilongjiang of northeast as study samples; detecting the to-be-detected sample honey by utilizing adsorption difference of a gas sensor array with different volatile components; changing surface layer current intensity of a semiconductor sensor after the volatile components of the honey are adsorbed with sensor features, and obtaining response curves of each sample through digital conversion so as to detect and analyze the samples and establish a support vector machine discrimination model by utilizing extracted electronic nose feature information to classify the samples of different honey sources.

The invention provides a method for identifying mature rape honey. The method comprises the following steps that: to-be-detected honey is detected by adopting liquid chromatography-quadrupole rod-time-of-flight mass spectrometry; excimer ion peaks with retention time of 8.99 + / -0.10 min and the mass number of 285.04 + / -0.01 as characteristic peaks, and when it is judged that the to-be-detected honey is mature rape honey when a detection spectrum contains the characteristic peaks. The liquid chromatography detection conditions are as follows: a C18 chromatographic column is adopted; a mobile phase A is 0.1% formic acid aqueous solution; a mobile phase B is methanol; the volume fraction of the mobile phase B is increased to 5% within 0-1 min of gradient elution; the volume fraction of the mobile phase B is increased from 5% to 55% within 1-6 min of gradient elution; the volume fraction of the mobile phase B is increased from 55% to 95% within 6-20 min of gradient elution; the volume fraction of the mobile phase B is maintained at 95% within 20-26 min of gradient elution; and the volume fraction of the mobile phase B is reduced to 5% within 26-27 min of gradient elution. The method provided by the invention can be used for identifying the mature rape honey quickly and accurately.

The invention discloses a method for identifying acacia honey mixed with rapeseed honey. First, resin is used to extract phenolic acid compounds from honey, and chromatographically pure methanol is used to dilute the volume to prepare a test solution; then a certain amount of ten Prepare a phenolic acid reference substance, and dilute to volume with chromatographically pure methanol to prepare a reference substance solution. The determination method is to inject the reference substance solution and the test solution into the high-performance liquid chromatograph respectively, use the reference substance as the reference substance, measure and record the chromatogram, and obtain the HPLC-ECD fingerprint of acacia honey, and then use the same method to obtain the rapeseed The HPLC-ECD fingerprints of acacia honey and acacia honey mixed with rape honey were compared and combined with chemometric methods to identify whether acacia honey was adulterated with rape honey. The invention has reasonable design, good separation effect, high sensitivity and strong feasibility, and solves an important technical problem in adulteration identification and quality control of acacia honey.

The invention discloses an all-natural bee pollen facial mask paste and a production method thereof. According to weight percentage, the component raw materials include: 33-38% of wall-breaking rape pollen, 50-55% of rape honey, 7-9% of fresh royal jelly and 4-6% of pearl powder. According to the all-natural bee pollen facial mask paste and the production method thereof, effects of the normal facial mask products of separating air, infiltrating and softening cuticles, promoting skin blood circulation, tightening skins, removing surplus grease and ageing cutins are kept, facial alimentation absorption is enhanced, natural elasticity and gloss of skins are recovered, more importantly, side effects of the normal facial mask products cannot be generated, and the all-natural bee pollen facial mask paste has good protection effect for faces.

The invention discloses a technology for producing greasy crystallized honey. The technology comprises the following steps of 1, a seed preparation comprising mixing rape honey, clean water and micro-grinded bee pollen, stirring to obtain a seed mixed solution, heating rape seed raw material honey in a water-bath, adding the heated rape seed raw material honey into the seed mixed solution with stirring, filtering by a sieve of 60 meshes, pouring the filtrate into a wide-mouth container, and putting the wide-mouth container into an inclosed thermostatic chamber having a temperature of 15 to 20 DEG C for 10 to 15 days to obtain crystal seeds, 2, a raw material honey selection process comprising selecting all natural honey having a light color, low water content less than 20% and high glucose content more than 35% as a raw material for production of the greasy crystallized honey, and 3, a raw material honey inoculation and crystallization process comprising a, inoculation, b, pre-crystallization, and c, after-crystallization. The greasy crystallized honey obtained by the technology has white and smooth appearance, a fine taste, and good stability, plasticity and repeatability.

The invention relates to a method for detecting rape honey aroma components by solid phase microextraction, and the method comprises the following steps: weighing 6 mL of rape honey, adding 400 mg of sodium chloride, aging an extraction head at an introduction port of a gas chromatograph at an aging temperature of 250 DEG C for 2 hours, inserting the aged extraction head into a headspace part of a sample bottle, pushing a fiber head out, carrying out constant temperature magnetic stirring adsorption at 60 DEG C for 50 min, inserting the extraction head into a GC-MS introduction port, carrying out desorption at 250 DEG C for 5 min, and then carrying out gas chromatography-mass spectrometry. The method of the invention can rapidly detect aroma components in rape honey, and can identify whether the rape honey is adulterated by comparison with standard rape honey aroma substances.

A feature extraction method based on the single-item discriminant method to characterize the difference of honey in the intelligent olfactory spectrum, which is characterized in that all feature points are pattern-recognized one by one, and the difference in discrimination accuracy is compared when each signal point is used as a single feature. The recognition method is embedded in the feature selection. By combining the discriminant method, the ability of each signal point to predict the sample can be obtained. This method is more dependent on the selected pattern recognition method, and the selection result will change with the discriminant method. Single vector selection The difference in the accuracy rate among different sensors is small, while the difference between the information points at different detection times in the same sensor is relatively large, but the change trend of the Bayesian discrimination accuracy rate at different time points in different sensors is consistent with the change trend of the variance ratio, that is, the detection The initial signal discrimination accuracy rate is relatively high, concentrated in the first 30s detection time of each sensor, but the effect in the later detection period is poor, and the signal points with a discrimination accuracy rate greater than 60% are selected as feature points, a total of 598 feature points, of which rapeseed honey 20 / 23, linden honey 13 / 17, acacia honey 34 / 39.

A honey detection method based on particle swarm optimization and support vector machine classifier parameter selection, which is characterized in that random individuals are initialized, and individual changes are performed by calculating the gap between the current individual fitness function value and the optimal fitness value of the group. Compared with genetic Algorithm, the particle swarm optimization algorithm converges faster, and reaches the optimal point in about 6 generations. The optimization result is: the highest accuracy rate of the training set is 91.25%, c=32.3362, r=0.0100. Under this condition, the prediction accuracy rate is 88.61%, Among them, rapeseed honey is 21 / 23, linden honey is 14 / 17, and acacia honey is 36 / 39.

An extraction method of intelligent olfaction spectrum feature representing differences of honey based on an independent component analysis is characterized in that: the main component analysis is classified according to the maximization of variance between data, namely the secondary moment of data, and the independence of data in the high order moment is neglected; the independent component carries out transformation of matrix by utilizing the high order moment between data, thus related rows between feature vectors are further decreased, and the compressing effect of signals is strengthened; the discrimination rate is 94.94%, when the independent component is 14, the honey sample is 75 / 79, wherein the rape honey is 22 / 23, linden honey is 16 / 17, and acacia honey is 37 / 39.

The invention discloses an identification method of chaste honey, rape honey and acacia honey based on an NMR (Nuclear Magnetic Resonance) technique. The identification method comprises the followingsteps: filtering a honey sample and then preparing the filtered honey sample into 0.03 to 0.5 g / L solution with heavy water; adding a phosphate buffered solution with the concentration of 0.5 to 2.0 mol / L, wherein the phosphate buffered solution contains a 3-trimethylsilyl-1-sodium propyl sulfonate internal standard solution with the volume fraction of 0.05 to 0.3 percent and 0.1 to 3.0 mM of sodium azide; mixing, adjusting the pH value of the phosphate buffered solution to 2.5 to 4.0 and measuring by a NMR spectrometer to obtain an NMR spectrum; and analyzing chemical shift of a honey samplemarker, and determining that the honey sample of which 1H chemical shift delta is 7.0 to 7.5 ppm and a deviation delta is within a range of 0.02 to 0.05 ppm is the chaste honey, otherwise the honey sample is the rape honey or the acacia honey. The method has the advantages that a large quantity of samples can be analyzed in a short time and the chaste honey, the rape honey and the acacia honey canbe quickly identified.