43 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.

The invention discloses a GC-IMS-based pure milk flavor sensory digitalization rapid evaluation method, and belongs to the technical field of food analysis and evaluation. The method comprises the following steps: detecting a pure milk sample to be detected by GC-IMS through headspace sampling to obtain a fingerprint spectrum, substituting fingerprint spectrum data or characteristic volatile component data into an OPLS-DA model, and evaluating the preference degree of the pure milk according to a clustering result; the construction method of the OPLS-DA model comprises the following steps: selecting different pure milk samples, and carrying out sensory evaluation on the pure milk samples by adopting a CATA sensory evaluation method; the method comprises the following steps: detecting different pure milk samples through headspace sampling by using GC-IMS to obtain a fingerprint spectrum, and performing regression modeling by using a partial least squares-discriminant analysis method by using fingerprint spectrum data or characteristic volatile component data to construct and obtain an OPLS-DA (Optical Partial Least Squares-Discriminant Analysis) model. According to the invention, GC-IMS is adopted to carry out digital rapid evaluation on the pure milk flavor sense organ, the sensitivity is extremely high, a sample does not need to be enriched and concentrated, the detection time is saved, and a tedious pretreatment process is avoided.

The application is suitable for the field of analog enzyme technology, and provides a light-controlled zein-based dual-enzyme-activity analog enzyme and a preparation method thereof.The preparation method comprises the following steps: under water bath conditions, dissolving zein in an alkaline aqueous solution and incubating; adding a hydroxylamine solution to the solution obtained in step S1 and continuing to react; and after the reaction is completed, obtaining the light-controlled zein-based dual-enzyme-activity analog enzyme.The application uses zein as a raw material, is modified by hydroxylamine, does not need any metal component to participate, has light-controlled switchable dual-enzyme activity, exhibits oxidase-like activity under visible light irradiation, presents peroxidase-like activity in dark conditions, and can realize reversible switching of the two enzyme activities by regulating light, effectively overcomes the problems that traditional artificial analog enzymes depend on metal ions, multiple enzyme activities coexist, interfere with each other and are difficult to accurately control, can be used for colorimetric detection of total antioxidant capacity, can be used for colorimetric detection of glucose in cascade reaction with glucose oxidase, has the advantages of simple operation, rapid response, high sensitivity, good selectivity, low cost and the like, and has a good application prospect in the fields of food analysis, clinical diagnosis and the like.

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 discloses a method for rapidly detecting monosaccharide composition in polysaccharide, and relates to the technical field of food analysis. The method comprises the following steps: firstly hydrolyzing polysaccharide by adopting TFA, then derivatizing PMP, and finally analyzing the monosaccharide composition of the derivatized polysaccharide hydrolysate by adopting UHPLC QQQ MS (Ultra High Performance Liquid Chromatography QQQ Mass Spectrometry). According to the method provided by the invention, the detection analysis of 18 monosaccharides can be quickly completed within 7 minutes, and the detection limit is also lower than that of a mainstream monosaccharide detection method HPAEC-PAD.

The invention belongs to the technical field of food analysis and detection, and particularly relates to a method for simultaneously detecting carbonyl compounds in fermented soya beans. In order to solve the technical problem that the carbonyl compounds in the fermented soya beans cannot be accurately, precisely, simply and conveniently detected at the same time in the existing detection technology, the pretreatment conditions of the fermented soya beans are optimized, so that the extraction efficiency of the carbonyl compounds in the fermented soya bean extracting solution is higher; reacting a derivatization reagent 3-nitrophenylhydrazine hydrochloride with volatile and non-volatile acids and volatile and non-volatile aldehyde compounds in the fermented soya bean extracting solution under the action of catalysts N-(3-dimethylaminopropyl)-N '-ethylcarbodiimide hydrochloride and pyridine to obtain a derivatization reaction product; and finally, determining the 19 carbonyl compounds in the fermented soya beans by using an ultra-high performance liquid chromatography-tandem mass spectrometry method. The detection method disclosed by the invention is high in sensitivity and low in detection limit, can efficiently and accurately detect the carbonyl compounds in the fermented soya beans at the same time, and has important significance on flavor quality evaluation of the fermented soya beans.

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 invention belongs to the technical field of food analysis and detection, and particularly discloses a method for rapidly detecting tartaric acid in wine based on a molecularly imprinted polymer (MIP) modified carbon fiber electrode. According to the method, a tartaric acid molecularly imprinted polymer layer is constructed on the surface of a carbon fiber electrode by adopting an electrochemical polymerization technology, and high-sensitivity and high-selectivity detection of tartaric acid is realized in a potential range of-0.5 to + 0.6 V (vs.Ag / AgCl) in combination with a differential pulse voltammetry (DPV). The modified electrode has excellent conductivity and specific recognition capability, the detection limit is as low as 0.05 [mu] mol / L, and the linear range is 1-800 [mu] mol / L. The method is simple and convenient to operate, the single detection only needs 20 seconds, the relative standard deviation is less than 3.5%, the recovery rate reaches 95-102%, the method can be directly applied to stock solution detection of complex wine matrixes (such as dry red wine, dry white wine and sweet wine), complex pretreatment is not needed, and an efficient and reliable analysis means is provided for wine brewing process monitoring and quality evaluation.

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 application belongs to the technical field of food analysis, and discloses a comprehensive quality evaluation method of hot and spicy seasoning. The application firstly organically fuses the absolute content of key flavor substances determined by a GC-MS internal standard method, the total content of capsaicin substances determined by HPLC, and the total content of amides determined by ultraviolet spectrophotometry, constructs a comprehensive quality index (CQI), overcomes the defects of one-sidedness of single index evaluation, can scientifically distinguish the comprehensive quality differences of non-balanced samples such as "high spiciness and low fragrance" and "high numbness and low spiciness", and the evaluation result has high correlation with the comprehensive satisfaction of experts' senses.

The invention relates to the technical field of food analysis, and provides a method for analyzing the sensitization effect of natural carbohydrate chains on food allergens, which comprises the following steps: extracting and purifying tropomyosin freeze-dried powder in food muscle tissues, identifying the types of carbohydrate chains in the tropomyosin freeze-dried powder, and analyzing the types of glucosidic bonds; removing an N-carbohydrate chain and an O-carbohydrate chain in the tropomyosin freeze-dried powder by using one or more of a PNGase F enzyme removal method, a beta-elimination method and a trifluoromethanesulfonic acid method, so as to obtain a deglycoprotein; a phenol-sulfuric acid method, SDS-PAGE (Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis) and PAS (Polyacrylamide Sulfate) dyeing are used for evaluating the anti An in vitro test and an in vivo test are used to evaluate the effect of the desugaring treatment on the allergenicity of tropomyosin. By analyzing the regulation influence of the natural carbohydrate chain on the allergenicity of the penaeus chinensis tropomyosin, a foundation is laid for deep research on the allergenicity of the penaeus chinensis tropomyosin, and an innovative perspective of analyzing the allergenicity characteristics of the penaeus chinensis tropomyosin is provided.

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.

1. Name of the design product: scale (multi-angle intelligent food analysis). 2. Use of the design product: for weighing food. 3. Design points of the design product: in the combination of shape and pattern. 4. Picture or photo best indicating the design points: perspective view 1.

This invention discloses a characteristic fatty acid fingerprint spectrum of human milk and its application in authenticity identification, belonging to the field of food analysis technology. The milk characteristic fatty acid fingerprint spectrum of this invention uses C8:0 and C14:1 in human milk as the basis for identification. cis-9 C15:0, C15:0 before , C18:2 c9t11(CLA n7), C18:2 c9c12(LA), C20:1 cis-11 Based on eight characteristic fatty acids (C22:6, C4, C7, C10, C13, C16, C19, and DHA), a standard human milk fingerprint spectrum is constructed based on the ratios of C8:0 / LA, C8:0 / DHA, C14:1 cis-9 / C20:1 cis-11, C15:0 / DHA, C15:0 anteiso / C20:1 cis-11, and CLA / LA. The content of characteristic fatty acids in the test sample is measured, and the corresponding ratios are calculated and compared with the standard human milk fingerprint spectrum. If any ratio exceeds the characteristic range, the sample is determined to be not entirely human milk. This invention's human milk characteristic fatty acid fingerprint spectrum utilizes six standard indicators for multi-dimensional judgment, enabling rapid and accurate identification of human milk authenticity. It only requires measuring fatty acid content, making it simple and quick. The fingerprint spectrum has strong applicability for authenticity identification, allowing for sample-free determination using historical data and literature data, providing strong traceability.

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.

A compact spectrometer is disclosed that is suitable for use in mobile devices such as cellular telephones. In preferred embodiments, the spectrometer comprises a filter, at least one Fourier transform focusing element, a micro-lens array, and a detector, but does not use any dispersive elements. Methods for using the spectrometer as an end-user device for performing on-site determinations of food quality, in particular, by comparison with an updatable database accessible by all users of the device, are also disclosed.

The invention discloses application of a marker metabolite in identification of different harvest periods of porphyra haitanensis, and belongs to the field of food analysis and detection. The marker metabolites comprise lysophosphatidylethanolamine 15: 1 *, 2 '-deoxyguanosine, L-gamma-glutamine-L-leucine, lysophosphatidylethanolamine 22: 5, lysophosphatidylethanolamine 17: 1 *, 3, 4-dihydroxyphenylacetic acid *, 12S-hydroxy-5Z, 8Z, 10E, 14Z-eicosatetraenoic acid, lysophosphatidylcholine 18: 0 (2n isomerization) and 1-(2, 4-dihydroxyphenyl)-1-(2, 4-dihydroxyphenyl)-1-(2, 4-dihydroxyphenyl)-1-(2, 4-dihydroxyphenyl)-1-(2, 4-dihydroxyphenyl)-1-(2, 4-dihydroxyphenyl)-1-(2, 4- )-3-(((2-(dimethylamino) ethyoxyl) (hydroxy) phosphoryl) oxy) propan-2-yl palmitate *, and the like. The screening method of the marker metabolite reveals the difference of the porphyra haitanensis in different harvesting periods, the technology is advanced, the experimental result is reliable, and an excellent method is provided for quality identification and quality evaluation of the porphyra haitanensis.