16 results about "Honey samples" patented technology

The invention discloses a honey adulteration detection method, which belongs to the technical field of food detection, and comprises the following steps: collecting an absorbance spectrum of a honey sample by using a near infrared spectrometer; extracting characteristic absorbance values A < lambda > 1 and A < lambda > 2 at a 1450 nm water molecule absorption peak and a 1490 nm saccharide molecule absorption peak; the ratio R is equal to A lambda 1 / A lambda 2; and comparing the R with a threshold range of 0.85-1.15 of pure honey so as to judge whether the honey is true or false. The portable device comprises a sample bin, a near infrared spectrum module, a control unit and a human-computer interaction interface, wherein a rotatable sample table is arranged in the sample bin to accommodate a plurality of disposable sample cups. The method abandons a complex black box model, adopts a characteristic wavelength ratio method with clear physical significance, has the outstanding advantages of simple principle, rapid detection (less than 30 seconds), high accuracy, low cost, simplicity and convenience in operation and the like, perfectly solves the problems of expensive equipment, long time consumption, limited identification capability and dependence on professionals in the prior art, and has a wide application prospect. The method is especially suitable for market on-site rapid screening.

The application belongs to the technical field of spectral analysis, and relates to a honey purity identification method and system based on spectral data. The method comprises the following steps: collecting an original spectrum of a to-be-tested honey sample and performing serial pretreatment to obtain a pretreated spectrum matrix; dividing the pretreated spectrum matrix into two independent chemical semantic sub-windows, independently performing principal component analysis to extract principal component scores; calculating Mahalanobis distances of the to-be-tested honey sample relative to a pure honey reference distribution in each principal component space; performing cross-window statistical standardization on the Mahalanobis distances of each window, and fusing based on a pre-determined adaptive weight to obtain a comprehensive spectral deviation value; comparing the comprehensive spectral deviation value with a discrimination threshold value, and outputting a honey purity identification result. The application decouples sugar component information and moisture information, avoids dilution of low-concentration adulteration signals in full-spectrum background noise, and improves the recognition accuracy of low-concentration adulterated honey.

The present invention belongs to the field of image processing technology, and specifically relates to a honey quality detection method based on machine vision. The method comprises: extracting bubble features from a defoaming video of a honey sample; determining the bubble uniqueness and color uniqueness of each honey based on the differences in bubble features and color of all honey samples; classifying all honey into unique honey and non-unique honey based on the bubble uniqueness and color uniqueness; establishing a detection model for unique honey; establishing a bubble model for non-unique honey based on the changes in bubbles during a static process; obtaining feature video frames of each non-unique honey based on the differences in the bubble models of all non-unique honeys, and establishing a detection model for each non-unique honey; and comparing the honey sample to be tested with the detection models of unique honey and non-unique honey to complete quality detection. The present invention ensures the convenience of honey quality detection while improving detection accuracy.

The invention discloses a honey syrup adulteration detection method based on CNN-CBAM-SVM combined with H NMR. The method comprises the following steps: step 1, collecting H NMR spectral data of a honey sample to be detected; 2, a CNN-CBAM-SVM model is constructed, the model comprises a convolution layer, a CBAM module and an SVM classifier, and the CBAM module is located between the convolution layer and the activation function; step 3, training the CNN-CBAM-SVM model by using the H NMR spectral data of the training sample; and 4, inputting H NMR spectral data of a sample to be detected into the trained model, and outputting a honey adulteration detection result. The method is high in detection efficiency, does not need complex preprocessing steps, realizes rapid detection directly through combination of H NMR spectrum and a deep learning model, greatly shortens the detection time, is high in accuracy, is high in applicability, is suitable for small sample scenes, and can be widely applied to adulteration detection of honey and other foods, and the accuracy rates of a training set and a verification set reach 100%.

The invention discloses a sample pretreatment method for measuring the content of heavy metals in honey, and belongs to the technical field of analytical chemistry and food detection.The sample pretreatment method comprises the following steps that S1, honey and nitric acid are subjected to vortex mixing and pre-oxidation, and a premixed solution is obtained; s2, adding perchloric acid into the premixed liquid obtained in the step S1, installing a reflux condensing device, and digesting to obtain a digesting solution; s3, cooling the digestion solution to room temperature, and fixing the volume to obtain a to-be-detected sample solution. According to the sample pretreatment method for measuring the content of the heavy metals in the honey, a mixed acid system, an acid adding mode and digestion conditions are optimized, and a reflux condensation technology is matched, so that a honey sample is rapidly and completely digested, the loss of target heavy metal elements is reduced, and the accuracy and precision of the detection method are improved; meanwhile, the threshold of experimental equipment is reduced, safe and controllable operation is guaranteed, and the requirements of various levels of detection laboratories on honey heavy metal trace analysis can be met.

The invention belongs to the field of food detection and identification, and particularly relates to a qualitative detection method of exogenous amylase AB in honey and application thereof, and the qualitative detection method comprises the following steps: concentrating, purifying and desalting by adopting ultrafiltration centrifugation, and carrying out qualitative detection by adopting a matrix-assisted laser desorption ionization time-of-flight mass spectrometer. The characteristic peak of the exogenous amylase AB on the MALDI-TOF-MS mass spectrum is determined, the m / z range of the characteristic peak is 55.0-56.0 kDa, when the characteristic peak exists at the m / z range of 55.0-56.0 kDa in the honey sample, it can be judged that the exogenous amylase AB is positive, and otherwise, it is judged that the exogenous amylase AB is negative. Compared with a traditional enzyme activity detection method, the method can effectively distinguish endogenous amylase and exogenous amylase of the honey, and qualitative identification of the exogenous amylase AB in the honey is achieved.

The invention provides a non-targeted identification and analysis method for plant source components in honey based on a DNA bar code technology. A honey sample is identified through the DNA bar code technology. The method for extracting and evaluating the high-quality DNA of the honey sample is established, the optimal DNA bar code is screened out, the high-throughput non-targeted screening method for the plant-derived components of the honey sample is established, and the research has important significance for guaranteeing the rights and interests of consumers and promoting the development of the honey industry. And meanwhile, a powerful technical support is provided for government departments to supervise and enforce law enforcement and strike illegal behaviors such as doping and adulteration in the honey industry.

The invention belongs to the technical field of extraction and separation, and particularly relates to an extraction method and a detection method of volatile substances in honey. The extraction method comprises the following steps: mixing honey and a buffer solution to obtain a honey pretreatment solution; the honey pretreatment liquid is subjected to ultrasonic extraction by sequentially adopting a polar gradient deep eutectic solvent aqueous two-phase system (such as a deep eutectic solvent which is sequentially mixed with tert-butyl alcohol, isobutanol, n-butyl alcohol, n-propyl alcohol and isopropyl alcohol), and an obtained alcohol upper phase contains volatile substances. According to the method, the characteristics of active ingredients in the honey are combined, a polar gradient deep-eutectic solvent aqueous two-phase extraction system is constructed by utilizing the solvent polarity and similar dissolvability principle, simultaneous separation and enrichment of multiple types of active ingredients are realized, and the method is an efficient and green honey sample pretreatment method. According to the invention, a multi-stage gradient extraction technology is adopted, so that excellent extraction effect and sensitivity are shown; the invention provides a new solution for green extraction of natural products.

The invention belongs to the field of food detection and identification, and particularly relates to a method for detecting p-xylylene ether in honey and application of the method in identification of aegiceras corniculatum honey, solid-phase extraction is adopted for enrichment and purification, and a gas chromatography-tandem mass spectrometer is adopted for detection. And quantifying by adopting an internal standard method. According to the method, the p-xylylene ether is detected in the Aegiceras corniculatum honey for the first time, the concentration range of the p-xylylene ether is 3.3-8.0 g / kg, accordingly, when the content in the honey sample is within the range, the honey sample can be judged to be the Aegiceras corniculatum honey, otherwise, the honey sample is judged to be other honey or adulterated honey, the method for identifying the Aegiceras corniculatum honey has the advantages of high efficiency, simplicity, convenience, high sensitivity and the like, and the method is suitable for popularization and application. The method has important significance on detection and identification of the Aegiceras corniculatum honey, and also has important practical significance on maintaining the order of the honey market and legitimate rights and interests of consumers.

The invention relates to the technical field of molecular detection, and particularly discloses an isothermal amplification detection marker, probe, kit and detection method for identifying robinia pseudoacacia honey, and the method comprises the following steps: (1) extracting genome DNA in a honey sample to be detected; (2) the DNA obtained in the step (1) is used as a template, an isothermal amplification reaction system is used for amplification, and amplified target nucleic acid is a robinia pseudoacacia species specific DNA fragment; and (3) carrying out contact reaction on the amplification product in the step (2) and a lateral flow chromatography test strip, and judging whether the honey sample contains the robinia pseudoacacia component or not. The isothermal amplification technology based on the robinia pseudoacacia specific DNA fragment is combined with lateral flow chromatography detection, so that the accuracy and high sensitivity of a detection result are ensured, related species can be effectively distinguished, and trace target components can be detected; the characteristics of constant temperature and rapidness and the visual result interpretation mode get rid of dependence on a precise thermal cycler, and the operation difficulty, the time cost and the equipment threshold are greatly reduced.

The invention relates to the technical field of honey detection, in particular to honey moisture detection equipment based on an intelligent sensor, which comprises a sample bin, a sealing cover covers an opening at the upper end of the sample bin, and a stepped shaft rotationally connected with the sealing cover is arranged in the middle of the sealing cover in a penetrating manner; a point light source is arranged at the center of sphere at the bottom of the sealing cylinder; a supporting plate is arranged above the detection base, and the supporting plate is attached and fixed to the bottom of the sample bin; the device has the beneficial effects that the helical blade fixed with the inner wall of the guide cylinder is arranged between the guide cylinder and the sealing cylinder, the helical blade can uniformly stir a honey sample, the photoelectric detector is arranged at the lower end of the light filtering cylinder, and light emitted by the point light source in the inner cavity of the sealing cylinder penetrates through the light filtering cylinder and irradiates the photoelectric detector; according to different refraction degrees of a honey sample to light, the intensity of the light received by the photoelectric detector correspondingly changes, so that the content of soluble substances in the honey is measured, namely the moisture in the honey is indirectly measured.

The application discloses a method for detecting neonicotinoid pesticides in honey and application thereof, and belongs to the technical field of food safety. The method comprises the following steps: weighing 1g of a honey sample, adding 0.35mL of an EDTA-Mcilvaine buffer solution, and vortexing to dissolve; subsequently, 0.6mL of 1% formic acid acetonitrile (v / v) is added, and after vortexing, centrifugation and freezing treatment, the upper acetonitrile extraction solution is taken for analysis and determination. The liquid chromatography-tandem mass spectrometry method is used to determine seven kinds of neonicotinoid pesticides in honey, and the external standard method is used for quantification. The application utilizes the honey matrix to induce the sugar precipitation effect, and combines freezing treatment to realize one-step extraction, pre-concentration and purification of the target, has the advantages of simple pretreatment, economy, environmental protection, rapid detection, low matrix effect and high sensitivity, is suitable for high-throughput detection of a large number of honey samples, and provides a reliable analysis tool for food safety risk assessment.

The invention provides a method for determining pyrrolizidine alkaloid in honey, and relates to the technical field of food detection, and the method comprises the following steps: providing Fe3O4-coated CMPs; the method comprises the following steps: adding Fe3O4-coated CMPs into a honey sample solution diluted by ultrapure water to obtain a mixture; carrying out vortex mixing on the mixture, then carrying out magnetic separation, and pouring supernate; adding a mixture of acetonitrile and water for desorption, carrying out vortex mixing again, and then carrying out magnetic separation again to obtain an eluent; and filtering the eluent, and then detecting the eluent by using an ultra-high performance liquid chromatography-mass spectrometer. According to the invention, a novel Fe3O4 (at) CMP material is synthesized and is used as a magnetic solid phase extraction (MSPE) adsorbent for determining pyrrolizidine alkaloid in honey. According to the invention, 17 target PAs in the honey sample can be rapidly and effectively analyzed. The experimental conditions are systematically optimized through a single factor test and a response surface method. Under optimal conditions, the method shows a high recovery rate, a low limit of detection (LODs) and a low limit of quantitation (LOQs).

The application belongs to the field of food detection and identification, and particularly relates to a detection method of p-dimethoxybenzene in honey and application of the detection method in identification of tung flower honey, which adopts solid phase extraction for enrichment and purification and adopts gas chromatography-tandem mass spectrometer for detection. The internal standard method is adopted for quantification. The application detects p-dimethoxybenzene in tung flower honey for the first time, and the concentration range of p-dimethoxybenzene is 3.3-8.0 mu g / kg. Accordingly, when the content of the honey sample is in the above range, the honey sample can be determined as tung flower honey, otherwise, the honey sample can be determined as other honey or adulterated honey. The method for identifying tung flower honey has the advantages of high efficiency, convenience, high sensitivity and the like, and has important significance for detection and identification of tung flower honey, and has important practical significance for maintaining the order of the honey market and the legal rights and interests of consumers.

The invention discloses a method for detecting quinolone drug residues in animal-derived food, which comprises the following steps: adding a honey sample into a precooled extracting solution, oscillating and centrifuging in a low-temperature environment to obtain supernate; the preparation method comprises the following steps: mixing a silicon source with ammonia water, adding a solvent, calcining to obtain silica gel microspheres, immersing into an agarose solution, cooling, and carrying out epoxy activation treatment to obtain composite microspheres; carrying out oscillatory reaction on the composite microspheres and a metal chelating agent in an alkaline environment to obtain metal chelating layer composite spheres and primary amino composite spheres, and carrying out reaction on the primary amino composite spheres and 4-carboxyphenylboronic acid under the catalysis of EDC / NHS to obtain polyphenol adsorption microspheres; introducing a product adsorbing the metal ions in S3 into polyphenol adsorption microspheres to capture polyphenol substances, carrying out elution treatment on an eluent, concentrating and redissolving, and carrying out mass spectrometry; the accurate quantitative analysis capability of the quinolone residues in the high-interference honey matrix is improved.

The invention belongs to the technical field of honey detection, and particularly relates to a method for identifying Chinese mountain sapium sebiferum honey and Italian mountain sapium sebiferum honey based on the amino acid ratio. The method for identifying the Chinese alpine mountain sapium sebiferum honey and the Chinese alpine mountain sapium sebiferum honey provided by the invention comprises the step of identifying the Chinese alpine mountain sapium sebiferum honey and the Chinese alpine mountain sapium sebiferum honey on the basis of the ratio of the proline content in the total content of free amino acids and / or the ratio of the phenylalanine content in the total content of the free amino acids in a honey sample. The method has the advantages of simplicity and convenience in operation, rapidness, high accuracy and the like, can realize rapid identification of the source of the Sapium discolor honey species, provides technical support for authenticity identification of honey, and has important significance in promoting healthy development of the honey industry.