27 results about "Sensory analysis" patented technology

The invention discloses a method for constructing a model for evaluating the softness of Maotai-flavor liquor, which comprises the following steps: carrying out sensory evaluation on a Maotai-flavor liquor sample to obtain a softness score, and measuring the content of volatile aroma compounds in the liquor sample; correlation analysis is carried out through the softness score and the content change rate of the volatile aroma compounds, and a first group of key flavor substances influencing the softness are determined from the multiple volatile aroma compounds; selecting a matrix sample, adding one or more of the first group of key flavor substances to the matrix sample, and comparing with the matrix sample for sensory analysis so as to determine a plurality of second key flavor substances from the first group of key flavor substances; and constructing a soft degree evaluation model of the Maotai-flavor liquor through the second group of key flavor substances. According to the method for evaluating the softness of the Maotai-flavor liquor based on the key flavor substance basic quality control model, the softness of the liquor body is scientifically regulated and controlled, and the quality control level of the Maotai-flavor liquor is improved.

Systems and methods for optical and other sensory analysis of nutritional and other complex objects are disclosed. For example, techniques may include capturing an RGB-D image of a food using an integrated camera; inputting the RGB-D image into an instance detection network configured to detect food items; segmenting a plurality of food items from the RGB-D image into a plurality of masks, the plurality of masks representing individual food items; classifying a particular food item among the individual food items using a multimodal large language model; estimating a volume of the particular food item by overlaying an RGB image associated with the RGB-D image with a depth-map to create a point cloud; and estimating the calories of the particular food item using the estimated volume and a nutritional database.

The utility model relates to the technical field of food detection, and provides a raw milk sensory detection system which comprises a detection table, a heating assembly, a cooling assembly, a robot and a sensory analysis assembly, the detection table is provided with a first sample placing area for placing a vessel, and the vessel is used for containing a to-be-detected sample; the heating assembly comprises a heating panel; the cooling assembly comprises a refrigeration module and a cooling table, and a cooling medium in heat conduction connection with the cooling table is arranged in the refrigeration module; the heating panel and the refrigeration module are in communication connection with the robot. The robot is used for picking up a vessel filled with a to-be-tested sample, transferring the vessel to the heating panel for heating, transferring the vessel to the sensory analysis assembly for smell evaluation after the to-be-tested sample is boiled, and transferring the vessel to the cooling table for cooling; and after the sample to be detected is cooled to a set temperature, the vessel is transferred to the sensory analysis assembly for taste evaluation. According to the raw milk sensory detection system, the detection efficiency is improved, and the influence of human factors on the detection result is avoided.

The present application relates to electroencephalogram image processing and deep learning technical field, disclose the method for constructing the connection between electroencephalogram data and emotional state by hierarchical feature fusion, HSFS-Transformer model is designed, aims at through layered extraction global and local features fully excavates the space-time characteristics of EEG signal, improves the performance of emotional classification identification task, then collects the EEG data of sensory member to different citrus flavor for the offline training of HSFS-Transformer model, so as to obtain the emotional value binary classification model and four classification model that can be carried out to different citrus flavor.The present application models the overall spatial relationship of electroencephalogram signal and the fine-grained feature in specific brain area respectively, realizes the multi-granularity hierarchical feature representation, overcomes the shortcomings such as strong subjectivity, weak practicability and poor repeatability of conventional sensory analysis, and simultaneously introduces the emotional value evaluation concept in sensory evaluation.

The invention provides a correlation analysis method for flavor deterioration of chicken with different quality grades, and relates to the technical field of food science and meat quality analys.The correlation analysis method comprises the steps that chicken samples with different quality grades are grouped to obtain first samples for volatile flavor substance and sensory analysis; and a second sample for non-volatile metabolite analysis; carrying out detection and qualitative and quantitative analysis on the volatile organic compounds in the first sample by adopting a gas chromatography-ion mobility spectrometry technology; carrying out non-targeted detection and qualitative and quantitative analysis on the non-volatile metabolites in the second sample by adopting a liquid chromatography-tandem mass spectrometry technology; carrying out sensory evaluation on the color, texture, appearance and smell of the chicken samples with different quality grades; by combining a multivariate statistical analysis method, volatile organic compounds, non-volatile metabolites and sensory evaluation data are comprehensively analyzed, and flavor characteristics, metabolite changes and correlation of chicken with different lignification degrees are analyzed.

Systems and methods for optical and other sensory analysis of nutritional and other complex objects are disclosed. For example, techniques may include capturing an RGB-D image of a food using an integrated camera; inputting the RGB-D image into an instance detection network configured to detect food items; segmenting a plurality of food items from the RGB-D image into a plurality of masks, the plurality of masks representing individual food items; classifying a particular food item among the individual food items using a multimodal large language model; estimating a volume of the particular food item by overlaying an RGB image associated with the RGB-D image with a depth-map to create a point cloud; and estimating the calories of the particular food item using the estimated volume and a nutritional database.

The invention provides a tea processing strategy determination method based on chemical and sensory characteristics and a related device, and relates to the technical field of tea processing. Obtaining a tea sample; carrying out sensory evaluation on the tea samples, wherein the sensory evaluation comprises subjective sensory scoring and objective electronic sensory analysis; carrying out chemical component analysis on the tea leaf sample, wherein the chemical component analysis comprises detection of non-volatile compounds and volatile compounds; on the basis of sensory evaluation and chemical analysis results, correlation chemical data and sensory attributes are analyzed through multivariate statistics to generate analysis results; optimized tea leaf processing parameters including time, temperature or intensity parameters of a processing technology are determined according to an analysis result, and the processing parameters are scientifically optimized by integrating sensory evaluation and chemical analysis and applying multivariate statistics to analyze associated data, so that the method has the advantages.

The invention discloses a cigarette smoke component analysis method with an aroma sensory characteristic portrait as a guide. The cigarette smoke component analysis method comprises the following steps: S1, performing targeted quantitative detection on cigarette smoke components; s2, classifying compounds according to a quantitative detection result; and S3, drawing a smell profile diagram according to a calculation result. From the perspective of cigarette sensory analysis, cigarette smoking aroma characteristic portraits (digital analysis results) are taken as research and development guidance, and aiming at very complex cigarette smoke detection results, smell effect parameters such as compound aroma types, compound smell threshold values, source attributes (tobacco leaf transfer, smoke combustion and external source addition) and the like are subjected to quantitative analysis, so that the cigarette smoking aroma characteristic portraits and the cigarette smoking aroma characteristic portraits are obtained. As a technical link for communication between smoke detection compounds and sensory characteristics, a smell analysis method of a cigarette smoke detection result is constructed by drawing a cigarette smell profile diagram and an exogenous additive smell profile diagram, so that visual evaluation of cigarette smoke smell characteristics is realized; and a support is provided for sensory quality control of cigarette products and source tracing of exogenous additives.

This invention discloses an evaluation method for the processing characteristics of fresh Daqu (fermented wheat koji) blanks based on textural mechanics analysis. This method quantifies the sensory analysis results of the wheat-flour mixture used in koji production, allowing for an objective evaluation of the sensory quality of the koji blanks based on specific data. The method comprises the following steps: preparing multiple samples of fresh koji blanks as test samples; using a texture analyzer to measure the physical properties of each sample as evaluation indicators of the sensory characteristics of the fresh koji blanks. The measured physical properties include hardness, elasticity, chewiness, cohesion, and adhesiveness; determining the stability of the measured physical properties of different test samples and establishing a discrimination model for different wheat varieties of koji blanks; and determining the correlation between the measured physical property parameters and the sensory evaluation.

The invention relates to the technical field of data models, in particular to a yellow rice wine quality prediction method, which comprises the following steps: after establishing a yellow rice wine sensory index evaluation table, respectively carrying out sensory analysis on Fujian yellow rice wine in different years to obtain a comprehensive taste actual score; carrying out correlation and significance analysis on physical and chemical components and sensory indexes of the Fujian yellow wine; performing correlation and significance analysis on the color and sensory indexes of the Fujian yellow wine; performing correlation and significance analysis on volatile matter indexes and sensory indexes of the Fujian yellow wine; selecting parameters with significant levels of less than 0.05 in physical and chemical components, color and volatile matters as independent variables, and establishing a sensory comprehensive evaluation and prediction model by taking the comprehensive taste actual score as a dependent variable and adopting stepwise regression analysis; according to the method, the Fujian yellow rice wine in different years is researched, the quality of the Fujian yellow rice wine is evaluated through sensory analysis, electronic nose analysis and physical and chemical analysis, sensory indexes are quantified, datamation indexes for directly evaluating the quality of the Fujian yellow rice wine are obtained, and management and grading are facilitated.

The present invention discloses a chemometrics and sensory omics analysis method for finished cigarette paper after burning, which includes: detecting the smoke of finished cigarette paper samples of the same brand processed in a different place after burning, and obtaining GC-IMS data of the finished cigarette paper samples of the brand after burning; using an unsupervised combined with a supervised pattern recognition method to perform characteristic analysis and pattern recognition of sensory omics data on the GC-IMS data of finished cigarette paper samples produced by different cigarette factories after burning; and evaluating the sensory consistency of cigarette products of different production points of multi-point processing varieties when ignited and smoked according to the pattern recognition results. The chemometrics and sensory omics analysis method for finished cigarette paper after burning provided by the present invention can identify the differential components of smoke after ignition through a sensory component analysis method, and effectively distinguish finished cigarette paper samples of the same brand processed in a different place after burning, which is helpful to achieve accurate evaluation of the overall quality of the product.

The invention discloses a salty chicken flavor enhancer as well as a preparation method and application thereof, and belongs to the technical field of food processing. The salty and fragrant chicken flavor enhancer is prepared from tea powder, salt, kaempferia galanga powder, gardenia jasminoides ellis powder and edible oil. According to the method, sensory analysis, an electronic tongue, an electronic nose, gas chromatography-mass spectrometry (GC-MS) and flavor amino acid and free fatty acid index analysis are combined, the improvement effect of different tea leaves and spices on the flavor quality of the salted chicken is analyzed, and a detection result shows that the effect of a black tea group is optimal. Therefore, the invention provides the salty and fragrant chicken flavor enhancer containing the black tea powder, and the salty and fragrant chicken flavor enhancer can improve the contents of alcohol volatile flavor substances, aldehyde volatile flavor substances, acid volatile flavor substances, ketone volatile flavor substances, flavor free amino acids and fatty acids in chicken. The invention provides a theoretical basis for flavor optimization and quality regulation and control of the salty chicken.

The utility model discloses a sample storing and sampling device suitable for sniffing test, which comprises a gas sample sucking and releasing module, a gas storage module and a controller, the gas sample sucking and releasing module is directly or indirectly communicated with the gas output end of a gas chromatograph, and comprises a needle cylinder injector and a driving source, the gas storage module comprises a rotating frame, a rotating motor and a plurality of gas sample storage bottles, the gas sample storage bottles are arranged on the rotating frame, a plurality of bottle clamping seats for fixing the gas sample storage bottles are annularly arranged on the rotating frame, and the plurality of bottle clamping seats are horizontally arranged on the rotating frame and are circumferentially and uniformly arrayed; the gas sample suction and release module injects gas samples into the gas sample storage bottle after a certain unit time period to form a plurality of gas samples stored in different time periods, and a user can subsequently extract the gas samples in any time period through the gas sample suction and release module for mixing, namely the gas sample suction and release device can be provided with a sensory analysis and evaluation method of various combination modes such as single component, multiple components and the like.

The invention relates to a method for optimizing the quality of sake by grinding rice. By selecting rice with the milling degrees of 80%, 70%, 60%, 50% and 40% and combining physicochemical property analysis, aroma component analysis and sensory analysis of the rice, a correlation model between the milling degrees of the rice and the flavor of the sake is established, and the sake production process can be optimized according to different market requirements. Experimental results show that the sake brewed from the rice with the grinding degree of 50% has the best nutritional ingredients, fragrance and taste, and is suitable for production of high-quality sake; the grinding degree is 70%, and 60% of rice provides balanced alcoholic strength and taste, so that the rice wine is suitable for the taste of the public; the rice with the grinding degree of 40% is suitable for rapid fermentation and high-alcoholic-strength sake production. The method provides a new thought for optimization of a sake production process, and the flavor and quality of the sake can be flexibly adjusted according to market requirements.

The invention discloses a smell recognition and emotion analysis system and method based on a multi-modal physiological signal, a terminal and a medium, and relates to the technical field of sensory analysis, and the system comprises a multi-modal physiological signal acquisition device, a smell output device and a data processing control device. The multi-modal physiological signal acquisition equipment comprises an electroencephalogram signal acquisition device, a skin electric signal acquisition device and an electrocardiosignal acquisition device. While the smell output equipment outputs gas with smell, the multi-modal physiological signal acquisition equipment acquires multi-modal physiological signals. And the control module is connected with the multi-modal physiological signal acquisition equipment, analyzes and processes the acquired multi-modal physiological signals, and outputs the odor type and the emotional state information of the user. According to the method, the accuracy and the stability of odor-induced emotional state recognition are improved, joint decoding of odor and emotional response can be realized, and meanwhile, comprehensive and reliable odor sensory evaluation technical support can be provided for the food industry.

The invention relates to the field of baijiu storage, in particular to a three-step circulating storage method for baijiu. The method comprises the following steps: storing new wine in a stainless steel tank in the open air for one year to remove impurities and enhance aroma; then transferring into an underground pottery jar for cellaring and aging at constant temperature; and finally transferring into a stainless steel tank for stable storage. During the period, the wine in the storage period is tracked and detected, and the content of total ester, total acid and acetal is measured and sensory analysis is carried out. Introducing a scoring formula to calculate a quality evaluation score; according to the scores, the wine is divided into an excellent grade, an excellent grade, a common grade and an unqualified grade, the unqualified wine is subjected to re-steaming, and the other grades of wine are subjected to different operations respectively. In addition, the invention also introduces the score range of each grade, the calculation formula of the remaining storage time, the calculation method of the quality evaluation score and the related parameters of the common-grade wine, and the requirements on the underground environment and the pottery jar.

Disclosed are systems and methods that provide a novel framework for a multi-sensor verification framework for which thermostat integration with smoke detection systems can provide improved mechanisms for fire detection, improving both accuracy and reliability. The disclosed framework leverages the data gathered from multiple environmental sensors embedded in modern thermostats to verify fire events, reducing the likelihood of false positives and enhancing early detection. The framework builds upon a core principle of multi-sensory analysis: genuine fires are associated with distinct environmental changes that unfold in predictable ways across various physical parameters. Thus, by using thermostats as secondary sensors in conjunction with smoke detectors, the framework creates a more comprehensive and reliable fire verification mechanism.

The invention belongs to the field of food processing and production, and particularly relates to a novel production method of cheese. Cow milk is used as a raw material, a microfiltration treatment technology is combined, and casein interception liquid and fat are mixed in proportion to prepare the cheese. The embodiment of the invention shows that compared with the prior art, the cheese produced by mixing the microfiltration trapped fluid with 10% or 20% of fat has no significant difference in sensory analysis, functional characteristics and the like, and the cheese produced by mixing the microfiltration trapped fluid with 40% of fat has good water-holding capacity, relatively strong melting property and relatively high oil separation property. According to the optimized novel cheese production method, the gelation rate can be increased, the preparation time is saved, and the production efficiency is improved.

This invention discloses a method for restoring the charcoal-grilled flavor of pike using a high-temperature, short-time oven baking process, belonging to the field of aquatic product processing technology. The invention employs a flameless, segmented oven heat treatment process: after thawing and cleaning, salt tumbling, low-temperature cold air drying, pre-baking at 170℃, and then short-time high-temperature baking at 270℃. This process eliminates the need for charcoal fire equipment and can be promoted in shopping malls and homes. By controlling the heat processing conditions, it fully stimulates the characteristic charcoal-grilled flavor compounds of aldehydes, ketones, and pyrazines. Verification using electronic nose, GC-IMS, free amino acids, and sensory analysis shows that the finished product is crispy on the outside and tender on the inside, with a high degree of charcoal-grilled flavor restoration and a full-bodied taste. It solves the safety and standardization problems of open-flame baking, is simple to operate and easy to mass-produce, and effectively enhances the added value of deep-processed Xinjiang pike.

The invention relates to the technical field of wine brewing equipment treatment, in particular to an oak barrel heat treatment method and application thereof. The heat treatment method comprises the following steps: baking oak barrels to obtain a plurality of groups of baked oak barrels; wherein the baking treatment mode comprises at least one of infrared baking, open fire baking and searing; pouring the whisky liquid into a plurality of groups of baking oak barrels, and performing aging treatment to obtain aged wine; performing sensory analysis on the aged wine to obtain sensory evaluation data; determining an optimal heat treatment mode of baking treatment according to the sensory evaluation data; and the oak barrel is baked according to the optimal heat treatment mode, and heat treatment of the oak barrel is completed. According to the heat treatment method, the flavor is manufactured by subdividing parameters, then the flavor is obtained by sensory analysis and inspection of aging treatment, and finally the flavor of the aged wine liquid is determined according to locked baking treatment parameters, so that baking of an oak barrel does not depend on individual experience any more, but is precisely regulated and controlled by taking the final flavor of the aged wine as a target.

1. Name of the product in this design: Label (Sensory Flavor Wheel). 2. Purpose of this design: As a sensory analysis tool for drinking water research, to assist in scientific sensory evaluation and as a promotional label. 3. The key design features of this product are its shape, pattern, and their combination. 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design is for a sheet-like product. Other views have no special design, and the left view, right view, rear view, top view, bottom view, and perspective view are omitted.

This invention discloses a multi-omics joint detection method in the field of microbiology and fermentation technology for Baijiu brewing to analyze regional heterogeneity of high-temperature Daqu (fermentation starter). Taking high-temperature Daqu from different production areas and strata as examples, it integrates physicochemical enzyme activity assays, electronic sensory analysis, volatileomics, microbial amplicon sequencing, metagenomics, and metagenomic assembly technologies to systematically characterize the differences in physicochemical properties, sensory flavors, microbial communities, and metabolic functions of samples. It establishes a correlation model of "phenotype, flavor, microbial community, function, and strain," clarifying the impact of production area and stratum on Daqu quality and elucidating the mechanism of regional heterogeneity formation in high-temperature Daqu. This invention elevates the analytical depth from the genus level to the species and genome level, accurately locating core functional strains. It solves the problems of traditional methods having single detection dimensions, shallow analytical depth, and unclear functional attribution, providing scientific methods and theoretical support for improving the quality of high-temperature Daqu in Maotai-flavor Baijiu and enhancing the flavor of non-core production areas.

The invention relates to the technical field of electroencephalogram image processing and deep learning, discloses a method for constructing a relation between electroencephalogram data and an emotional state through hierarchical feature fusion, designs an HSFS-Transform model, and aims to fully excavate spatial and temporal features of EEG signals through hierarchical extraction of global and local features, improve the performance of an emotional classification and recognition task, and improve the recognition efficiency. And then collecting EEG data generated by sensory members for different citrus flavors for offline training of an HSFS-Transform model, thereby obtaining a binary classification model and a quadruple classification model for emotional values of different citrus flavors. According to the method, modeling is carried out on the overall spatial relation of the electroencephalogram signals and the fine-grained features in the specific brain region, multi-granularity grading feature representation is achieved, the defects that conventional sensory analysis is high in subjectivity, low in practicability, poor in repeatability and the like are overcome, and meanwhile an emotional value evaluation concept is introduced into sensory evaluation.

The invention provides a sea buckthorn fruit pulp bitter taste removal method based on sensory analysis and technological parameter regulation and control, and relates to the technical field of fruit and vegetable processing, and the method comprises the following steps: obtaining a sensory analysis result of sea buckthorn fruit pulp to be treated; determining a debitterizing processing parameter set according to the sensory analysis result; according to the debitterizing treatment parameter set, performing first-stage enzymolysis debitterizing treatment on the fructus hippophae pulp; obtaining an updated sensory evaluation result, and comparing the updated sensory evaluation result with a target sensory threshold value; performing condition judgment and parameter adjustment based on the updated sensory evaluation result and the comparison data; and sequentially carrying out homogenization treatment and sterilization treatment on the debittered liquid-phase fruit pulp to obtain a low-bitterness sea buckthorn fruit pulp finished product. According to the method, the problems that the debitterizing effect of the sea buckthorn fruit pulp is unstable and the sensory quality is difficult to control due to lack of an enzymolysis parameter regulation and control method based on sensory analysis in the prior art are solved, and the accuracy of debitterizing treatment and the sensory consistency of the liquid-phase fruit pulp are improved.

The invention provides a pea protein source salty peptide and a preparation method thereof.The method comprises the steps that pea protein is subjected to enzymolysis, ultrafiltration, separation and purification to obtain a pea protein salty peptide primary extract, then the primary extract is subjected to LC-MS / MS analysis and computer simulation technologies to screen non-toxic polypeptide sequences capable of being combined with a TMC4 protein receptor, and finally the pea protein source salty peptide is synthesized through a solid-phase synthesis method. And carrying out sensory analysis on salty taste and salty strength to obtain the pea protein salty peptide. The peptide RA7, the peptide AR8 and the peptide FR6 screened by the invention have good salty taste scores, the salty taste intensity of the peptide RA7, the peptide AR8 and the peptide FR6 is equivalent to that of a salt solution with the concentration of 3g / L, meanwhile, the peptide RF8, the peptide FF5 and the peptide DS5 have relatively high salty taste increasing effects, and particularly, the salty taste increasing rate of the peptide RF8 is 136%. The method not only can promote high-valued application of the pea protein salty peptide, but also can be used for development of low-salt food to achieve the effect of reducing salt but not reducing salty.

The present invention discloses a method for rapidly determining main odorous substances. A gas chromatograph sequentially separates and generates a plurality of first gas samples. Each first gas sample is divided into two parts. One part is transported to a detector for qualitative and quantitative analysis. The other part is sequentially transported to a gas storage module for separate storage to form a plurality of second gas samples, which are sequentially transported to an olfactory port for olfactory identification by an olfactory worker. The second gas samples can also be sequentially mixed in an arrangement and combination manner or mixed in a combination specified by an olfactory worker or a detection personnel to form one or more third gas samples, which are sequentially transported to an olfactory port for olfactory identification by an olfactory worker. The present invention can set a sensory analysis and evaluation method with a variety of combination modes such as single component, multi-component, and comprehensive component to improve the recognition accuracy and efficiency of odorous substances. The present invention also discloses a system that can realize the above-mentioned method for rapidly determining main odorous substances.

The invention discloses a sweet and salty synergetic salty taste enhancing method and application, cane sugar is added into sodium chloride, and the ratio of the cane sugar to the sodium chloride is 3.99 g / L-5. 82 g / L: 0.40 g / L. According to the method, through sensory evaluation and electroencephalogram signal analysis, the influence of cane sugar with different concentrations on salty taste perception of a specific region of the brain is researched, and then the optimal synergistic concentration ratio of cane sugar to sodium chloride is determined, so that the salty taste increasing effect is maximized, and the palatability of sodium chloride is improved. The method provides a scientific theoretical basis for development of low-salt food such as human food, pet food and special diet, and effectively makes up for the defects of high subjectivity, poor repeatability, susceptibility to environmental influence and the like of traditional sensory analysis.