29 results about "Food Analysis" patented technology

Techniques disclosed herein relate to food analysis and glucose level management. In some examples, the techniques involve determining a consumption of a first food item by a user, receiving data indicative of a glucose level of the user, determining an effect of the first food item on the glucose level of the user based on a change of the glucose level of the user, and storing the effect of the first food item on the glucose level of the user to a database that includes data indicating effects of individual food items on the glucose level of the user. In some examples, the techniques also involve providing one or more recommendations for managing the glucose level of the user based on the data in the database and a food item consumed by the user.

The application discloses a kind of based on GC-IMS pure milk flavor sensory digitalization fast evaluation method, belong to food analysis and evaluation technical field.The pure milk sample to be measured is detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.The fingerprint spectrum data or characteristic volatile component data is input into the OPLS-DA model, and the preference degree of pure milk is evaluated according to the clustering result.The construction method of OPLS-DA model is as follows: different pure milk samples are selected, and CATA sensory evaluation method is used for sensory evaluation of pure milk samples.Different pure milk samples are detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.Partial least squares-discriminant analysis method is used for regression modeling using fingerprint spectrum data or characteristic volatile component data to obtain OPLS-DA model.The application uses GC-IMS to digitally and quickly evaluate the flavor of pure milk, which has high sensitivity, does not require sample enrichment and concentration, saves detection time, and avoids tedious pretreatment process.

1. Name of the product in this design: Graphical User Interface for Food Analysis in Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Purpose of the graphical user interface: Used for AI food expert analysis; the main view adds a food identification result page, clicking "AI" displays the interface change state (Figure 1) during food expert analysis, and after the analysis is completed, the interface change state (Figure 2) displays the results of the food expert analysis, clicking "More Nutrients" displays the interface change state (Figure 3).

The invention relates to the technical field of food analytical chemistry, and particularly discloses a method for analyzing volatile components in rice, which comprises the following steps: S1, aging a fiber head: aging a solid phase microextraction fiber head at a gas chromatography sample inlet at 270 DEG C for 30 minutes; s2, sample preparation: weighing 3g of a rice sample, putting the rice sample into a headspace sample injection bottle, adding 6mL of water, and sealing the headspace sample injection bottle; s3, headspace balancing: stirring and balancing the sealed sample injection bottle at the temperature of 80 DEG C at the speed of 250 rpm; s4, headspace extraction: placing the aged fiber head at a position 3 cm above the headspace of the sample, and carrying out adsorption extraction for 30 minutes; s5, thermal desorption: inserting the extracted fiber head into a GC-MS (Gas Chromatography-Mass Spectrometer) sample inlet, and desorbing for 6 minutes at 230 DEG C; and S6, performing chromatographic analysis on the desorbed sample. The method is simple, convenient and rapid to operate, capable of completing large-scale detection in a short time and wide in application range.

The invention discloses a method for the detection of sialate glycosyl casein glycomacropeptide by boronate affinity column enrichment-liquid chromatography-tandem mass spectrometry using phenylboric acid modified mesoporous silica as packing material, which belongs to the field of food analysis and detection. The method includes the following steps: (1) sample preparation; (2) enrichment and purification of boronate affinity column; (3) liquid chromatography-tandem mass spectrometry detection. The invention makes use of the affinity property of phenylboric acid to the special sugar group sialic acid on the serine and threonine residues in casein glycogiant peptide, regulates the adsorption and elution of casein glycogiant peptide with sialic acid group by changing pH. Combined with the high sensitivity and accuracy of liquid chromatography tandem mass spectrometry, it can be used for qualitative and quantitative analysis of casein glycomacropeptide with sialate glycol-group in phenylketonuria special medical formulations with complex matrix.

This invention discloses a 3,6-bis(4-boronic acid phenyl)carbazole compound in the field of organic chemistry, its preparation method, and its application in glucose detection. The invention efficiently synthesizes the target product through a five-step reaction involving Suzuki coupling, N-alkylation, boron esterification, and deprotection. This compound exhibits high fluorescence quantum yield, good water solubility and stability, and simple synthesis. In a DMSO / H2O mixed solvent, it can specifically bind with glucose to form a boron ester. The fluorescence intensity decreases with increasing glucose concentration through an intramolecular charge transfer effect, achieving highly sensitive, highly selective, non-enzymatic glucose detection in aqueous phase. This solves the problems of poor stability, high cost, and complex operation associated with traditional enzymatic methods, and is suitable for clinical blood glucose monitoring, food analysis, and environmental monitoring.

The present invention relates to a chewing system used in food analysis for performing a chewing test on a food sample in order to determine a textural property of a solid food throughout the oral process, wherein said system is integrable into all texture analyzers operating on a load-cell basis.

The invention relates to the technical field of food analysis and detection, in particular to a kit for detecting starch content and a detection method. The kit comprises 4000 to 7000 U / mL of heat-resistant alpha-amylase, 3000 to 6000 U / mL of amyloglucosidase, a GOPOD color developing reagent, a GOPOD color developing reagent buffer solution, a 1.0 mg / mL D-glucose standard solution and a standardized starch sample, and all the reagents are subpackaged in sealed bottles. The kit for detecting the starch content and the detection method have the advantages of simplicity and convenience in operation, rapidness in detection, accurate result, good stability and the like; the application range is wide, and the total starch content in various food, feed, plants and cereal products can be detected.

The invention relates to the technical field of food analysis and detection, and particularly discloses a plant meat flavor peptide quantitative detection method based on tandem mass spectrometry, which introduces a physical variable of energy dimension, constructs a dynamic cracking fingerprint database of a target peptide under different collision energies, and combines the characteristics of interferents trapped in a blank matrix to detect the target peptide. And three characteristic energy points with the maximum distinction degree are preferably selected to carry out stepping data acquisition. By converting the obtained multi-dimensional chromatographic data into observation vectors, the algorithm fuses space geometric similarity and energy dynamics curvature characteristics for dual discrimination, and the latent isomerism interference is effectively identified. And furthermore, aiming at the polluted mixed signal, by utilizing a least square method deconvolution technology, the contribution of the interferent vector is stripped on a mathematical level, the real response strength of the target flavor peptide is accurately analyzed, and high-specificity quantification of the trace flavor substance on low-resolution mass spectrum equipment is realized.

The invention discloses a method for establishing a high-resolution mass spectrum database for screening drugs in food and application thereof, and belongs to the technical field of food analys.The method comprises the following steps that methyl alcohol serves as a solvent to dissolve standard substances of equal-mass target compounds, a single-standard stock solution or a mixed-standard stock solution is obtained, and then a standard solution with the concentration being 1.00 mg / L is prepared; obtaining the retention time, fragment ion information and optimal collision energy of the target compound by using an ultra-high performance liquid chromatography-electrostatic field orbitrap high-resolution liquid chromatograph-mass spectrometer; the method comprises the following steps: accurately importing information of a target compound into TraceFinder software, and constructing a targeted screening acquisition method and a screening database; and calling the database in the TraceFinder software to carry out retrieval, and setting retrieval parameters. According to the method provided by the invention, 400 compounds (including isomeride) can be separated, the detection is more accurate, and the working efficiency of daily inspection and the risk monitoring level of illegal addition in food are greatly improved.

This invention relates to the field of food analysis and testing technology, specifically disclosing a method for predicting the papaya seed powder content in black pepper powder based on ICP-MS analysis of characteristic trace elements. The method includes: Step 1, detecting the relative content of characteristic trace elements in the sample to be predicted, including Zn, Tl, and Mo; Step 2, inputting the data into a prediction model and outputting the adulteration content of the sample, Y = 0.005S1 + 0.252S2 - 0.059S3 - 0.031, where S1 represents Zn, S2 represents Tl, and S3 represents Mo. This invention provides a faster, simpler, and more accurate new method for predicting the adulteration content of papaya seed powder in black pepper powder.

Techniques disclosed herein relate to food analysis and glucose level management. In some examples, the techniques involve determining a consumption of a food item by a user, receiving data indicative of a glucose level of the user, determining an effect of the food item on the glucose level of the user based on a change of the glucose level of the user, and storing the effect of the food item on the glucose level of the user that includes data associated with one or more effects of the food item on the glucose level of the user.

The invention relates to a food analysis, detection and cleaning device which comprises a cleaning box body, bearing plates are vertically and movably connected to the two sides of the cleaning box body, a containing box is rotationally connected between the two bearing plates, a turnover mechanism used for rotating the containing box is arranged in the bearing plate on one side, and a hollow disc is arranged below the cleaning box body. A plurality of spray needles are uniformly and fixedly arranged at the top of the hollow disc at intervals, sprayers are rotatably connected to the tops of the spray needles and can be driven by fluid sprayed by the spray needles to rotate, and the two sides of the bottom of the hollow disc are connected with a water source and a gas cylinder through a first connecting pipe and a second connecting pipe. A spray needle and a spray head at the top of the spray needle extend into a bottle from a bottle opening, high-pressure fluid sprayed by a tangentially inclined spray nozzle drives the spray head to rotate at a high speed, and after the sunken part of the bottom of the bottle and the periphery of the wall of the bottle are thoroughly washed, cleaned and cleaned, dry gas is switched to drive the spray head to continuously rotate for blowing, liquid in the bottle is thoroughly blown away and discharged, and the two modes are combined; and the cleaning and subsequent drying effects on the small sample injection bottle are improved.

The application discloses a method for analyzing the sensory crispness of puffed food, and belongs to the field of food analysis. The method takes puffed food as the object, and can accurately analyze the crispness of the sample through data collection and conversion, energy frequency interval segmentation and calculation of the low-frequency interval proportion. Compared with other acoustic characteristics, the method has wider applicability, is more accurate and reliable, and can be applied to predicting the sensory crispness difference of products under different puffing time or subtle formula difference when developing new puffed food, so as to further provide the basis for predicting the consumer response.

The invention discloses transition metal Fe < 3 + > activated broadband near-infrared fluorescent powder based on an NASICON type structure and a preparation method of the transition metal Fe < 3 + > activated broadband near-infrared fluorescent powder, and belongs to the technical field of luminescent materials. The chemical composition expression of the fluorescent powder is NaHf (2-x) (PO4) 3: xFe < 3 + >, wherein 0 lt; x is less than or equal to 0.10. The material can be effectively excited by an ultraviolet or blue light band light source, emits broadband near-infrared light covering the range of 600-1200 nm from far-infrared light to near-infrared light, and has the characteristics of simple synthesis process, environmental friendliness, high material luminous intensity, easy performance regulation and control and the like; the method has a good application prospect in the fields of near-infrared night vision illumination, nondestructive detection, food analysis, information anti-counterfeiting and the like.

The invention belongs to the technical field of glycerol detection devices in fermentation, food analysis, clinical medicine and bioengineering, and relates to a preparation method of a glycerol biosensor. Cuprous oxide is etched through sodium sulfide, a hollow cuprous sulfide nanocube with nanosheets stacked layer by layer on the surface is synthesized, the conductivity and active sites of the material are increased, and rich binding sites are provided for loading glycerol-3-phosphate oxidase and glycerol kinase. The nano material is fixed on a glassy carbon electrode, and glycerol-3-phosphate oxidase and glycerol kinase are dropwise added on the electrode, so that the glycerol biosensor with high performance is obtained. The method has the advantages of simple preparation process and low cost, has higher performance in real sample detection, can be used for large-scale production, and can realize real-time monitoring of glycerol in fermentation liquor.

This technology improves the accuracy of predicting food quality values. [Solution] The prediction method includes the step of inputting multiple analytical parameters of the food to be predicted into a prediction model that has been pre-trained to take multiple analytical parameters indicating the results of food analysis by an analytical instrument as input and output a food evaluation value that quantifies one of the senses of taste, texture, and smell of the food, in order to obtain the food evaluation value. The multiple analytical parameters indicating the results of food to be predicted include at least two types of analytical parameters obtained from analytical parameters obtained by a taste sensor, analytical parameters obtained by a real-time direct mass spectrometer (DART-MS), analytical parameters obtained by a near-infrared analyzer (NIRS), analytical parameters obtained by a nuclear magnetic resonance spectrometer (NMR), and analytical parameters obtained by a gas chromatography-mass spectrometer (GC-MS).

The invention discloses a food microorganism fluorescent quantitative PCR (polymerase chain reaction) detection and traceability system, which relates to the technical field of food analysis and detection, and comprises an integrated reaction carrier module for collecting an original food sample, realizing splitting decomposition of target microorganisms and separation and purification of nucleic acid, extracting genome nucleic acid and establishing a real-time fluorescent quantitative PCR reaction system, an integrated reaction carrier for generating microorganisms for thermal cycle amplification; the dynamic data set module is used for executing a thermal cycle process in a closed system based on the integrated reaction carrier, exciting a multispecific fluorescent probe labeling channel, capturing multispectral fluorescent signals in real time and generating an original fluorescence intensity-cycle number dynamic data set; and the space-time traceability multi-dimensional atlas module is used for carrying out feature extraction on the multi-target fluorescence amplification curve, coupling a space-time traceability coding molecular marker system, carrying out dynamic amplification efficiency self-adaptive calibration, and establishing a space-time traceability multi-dimensional atlas of microbial quantification-molecular typing. According to the invention, the sensitivity of food microorganism detection is improved.

The invention discloses a soybean peptide molecular weight distribution accurate detection method based on weak cation exchange solid phase extraction (WCX-SPE) purification and trifluoroacetic acid (TFA) modified mobile phase, belongs to the technical field of food analysis and detection, and is suitable for detection of soybean peptide enzymatic hydrolysate, peptide powder, oral liquid and other products. The invention discloses a soybean peptide molecular weight distribution accurate detection method based on WCX-SPE purification and a TFA modified mobile phase. The method comprises the following steps: (1) preparing a TFA modified mobile phase solution and a soybean peptide mixed standard substance solution; (2) treating the soybean peptide sample by adopting'centrifugation, filter membrane filtration, WCX-SPE purification and ultrafiltration '; (3) detecting the mixed standard substance solution and the soybean peptide sample by using a high performance liquid chromatograph; and (4) calculating molecular weight distribution of the soybean peptide sample. According to the method, the impurity removal rate is greater than or equal to 95%, the adjacent peak separation degree is greater than or equal to 1.5, the molecular weight determination error is less than or equal to 5%, the chromatographic column life is greater than or equal to 500 times, the applicability is wide, and the requirements of production quality control and finished product evaluation can be met.

This invention discloses a method for determining the ferric tartrate content in edible salt, belonging to the field of food analysis and detection technology. The method includes: dissolving the edible salt sample in water, adding excess sodium hydroxide to dissociate the ferric tartrate and release tartrate ions; then purifying the sample by passing it through two tandem Ag columns to remove chloride ion interference; determining the tartrate ions using ion chromatography, quantifying the sample using L-tartaric acid as a standard, and calculating the ferric tartrate content by molecular weight conversion. This method is simple to operate, highly sensitive, and accurate, with a detection limit of 17 mg / kg and a quantitation limit of 50 mg / kg. The recoveries in refined salt (iodized / non-iodized) and low-sodium salt matrices range from 86.1% to 107.9%, with a relative standard deviation of less than 3%. It is suitable for the determination of ferric tartrate in edible salt and its salt substitutes.

The application discloses a kind of food synthetic colorant extract liquid quick concentration method and system, belong to food analysis detection field.The method includes the following steps: S1, the extraction liquid to be concentrated is transferred to micro condenser pipe, volume is not more than 1 / 3 of condenser pipe capacity;S2, micro condenser pipe is sealed, ensure system airtightness, carry out horizontal circumferential vortex oscillation;S3, micro condenser pipe is heated, and negative pressure is applied, so that the inside of system is maintained in a precise high vacuum degree environment;S4, when the volume of the extraction liquid is concentrated to the predetermined value, stop concentrating, release the vacuum, take out the micro condenser pipe, after solid-phase extraction purification, dissolve with solvent and filter through microporous filter membrane with needle filter, carry out subsequent detection, solve the problem of low efficiency and high cost in prior art.

The invention belongs to the technical field of enzyme composite materials and biological catalysis, and particularly relates to a composite catalyst based on a defective enzyme-metal organic framework as well as a preparation method and application of the composite catalyst. According to the composite catalyst, bio-enzyme is immobilized in CuMOF through an in-situ embedding method, the bio-enzyme can be embedded more efficiently, the catalytic activity of the bio-enzyme can be improved, and a synergistic cascade catalytic system is constructed by utilizing the peroxidase-like activity and cofactor regeneration capacity of the bio-enzyme. According to the present invention, the high selectivity detection of glucose, lactose and other substances can be efficiently achieved, and the ethanol catalysis system with the continuous conversion of NAD < + > / NADH can be constructed. Meanwhile, the obtained composite catalyst has good high temperature, organic solvent stability and cycling stability, and can be widely applied to the fields of biological detection, food analysis and biological catalysis.

The present invention relates to a jaw system used in food analysis for performing a biting, crushing, or comminution test in order to determine a textural property of a solid food throughout the oral process, wherein said system is compatible with all texture analyzers operating on a load-cell basis.

The application discloses a kind of magnetic calix [4] areal covalent organic framework and its preparation method and application, it is related to organic compound technical field.The magnetic calix [4] areal covalent organic framework of the application has core-shell structure, with magnetic nano particle as core;With aldehyde group calix [4] areal connection and 4,4'-diamino azobenzene covalent organic framework formed as shell.The magnetic calix [4] areal covalent organic framework of the application has excellent adsorption performance, strong enrichment capacity, also has the characteristics of high saturation magnetization, can satisfy magnetic separation demand, and good thermal stability, can be repeatedly used.The magnetic calix [4] areal covalent organic framework can be used for fusarium toxin detection, also has practical application value in food analysis and environmental analysis.

The invention discloses a method for detecting specific triglyceride in infant formula milk powder, and belongs to the field of food analysis and detection. The specific triglycerides are triglycerides of 1, 3-dioleic acid-2-palmitic acid (OPO) and triglycerides of 1-oleic acid-2-palmitic acid-3-linoleic acid (OPL), and the specific triglycerides are triglycerides of 1, 3-dioleic acid-2-palmitic acid (OPO). The method comprises the following steps: performing alkaline hydrolysis on a sample, extracting fat by using an ether-petroleum ether mixed solvent, performing nitrogen blowing concentration, and determining by using a gas chromatographic method. The method is characterized in that a CP-TAP CB capillary chromatographic column is used, and effective separation of OPO and OPL is realized through a specific temperature programming process. According to the method, synchronous detection and accurate quantification of the OPO and OPL isomeride in the infant formula milk powder are achieved on a conventional GC-FID platform for the first time, the method is easy and convenient to operate, low in cost, environmentally friendly and good in accuracy and precision, and reliable technical support is provided for product quality control.

The invention belongs to the technical field of probes, and particularly relates to a fluorescence and mass spectrum double-sensibilization labeled probe as well as a preparation method and application thereof. The probe takes benzimidazole as a mother ring and carbohydrazide as a reaction group, and comprises a probe 1 and a probe 2, the probe 1 is iodinated 4-(1, 3-dimethyl-benzimidazole-2-yl) benzoyl hydrazine d0, the chemical structural formula of the probe 1 is shown in the specification, and X is H; the probe 1 is deuterated iodinated 4-(1, 3-dimethyl-benzimidazole-2-yl) benzoyl hydrazine d6, the probe 2 is deuterated iodinated 4-(1, 3-dimethyl-benzimidazole-2-yl) benzoyl hydrazine d6, the chemical structural formula is shown in the specification, and X is D. The method disclosed by the invention can be used for rapidly, accurately and sensitively labeling and detecting the active carbonyl compound, is particularly suitable for separation and detection of trace and trace micromolecular active carbonyl compounds in a complex system, can be used for fluorescence labeling and analysis of various fatty aldehydes in the research fields of life analysis, food analysis and the like, and has a wide application prospect.

The system according to this embodiment aims to efficiently manage food items in a refrigerator, track expiration dates, and suggest recipes. [Solution] The system according to the embodiment comprises a camera unit, an analysis unit, a notification unit, a provision unit, and a suggestion unit. The camera unit identifies the food items inside the refrigerator. The analysis unit analyzes the information collected by the camera unit. The notification unit notifies the user of the expiration date and remaining quantity based on the information analyzed by the analysis unit. The provision unit provides information about the food items based on the information analyzed by the analysis unit. The suggestion unit proposes recipes based on the information analyzed by the analysis unit.

This invention discloses a method for determining bactericide residues in fruit juice, belonging to the field of food analysis and detection technology. The method includes: applying a pulsed electric field of a preset frequency to the fruit juice sample to be tested, and acquiring the initial conductivity relaxation spectrum sequence generated during the relaxation phase; separating the characteristic spectral sub-sequence contributed by the directional polarization of bactericide molecules from the sequence, and extracting the decay time constant distribution vector; performing phase space reconstruction on this vector to generate a high-dimensional phase space trajectory matrix; calculating the recursive quantitative analysis characteristic parameters of the matrix, including recursion rate, determinism, and laminarity; and inputting the above characteristic parameters into a pre-constructed concentration inversion model to output the bactericide residue concentration. This method can accurately extract the characteristic response of bactericides from complex fruit juice matrices, achieving high-sensitivity concentration inversion.