Artificial intelligence-based food flavor sensory evaluation system and establishment method thereof
A technology of sensory evaluation and artificial intelligence, applied in the direction of instruments, data processing applications, and analytical materials, can solve problems such as difficult to control product quality, lack of self-learning and comprehensive analysis capabilities, difficult flavor evaluation, etc., and achieve comprehensive and reliable evaluation results , Overcome the effect of one-sidedness and manual repeatability detection
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Embodiment 1
[0026] Embodiment 1: artificial intelligence sensory evaluation food flavor system and its construction method
[0027] Such as figure 1 As shown, an artificial intelligence sensory evaluation food flavor system is composed of a component sensory detection system, a computer intelligent analysis system and a food odor database. The component sensory detection system consists of GC-MS (gas chromatography mass spectrometry detector) and GC-O (Gas Chromatography Olfactory Detector), GC-MS is used to obtain the original data of the odor characteristics of food samples composed of chromatographic and mass spectrometry data, and GC-O is used to obtain the artificial sensory evaluation data of the odor of food samples; the computer intelligent analysis system , used for preprocessing and feature extraction of the original data of odor characteristics obtained by the sensory detection system and artificial sensory evaluation data, and performing dimensionality reduction and cluster an...
Embodiment 2
[0036] Example 2: Using the artificial intelligence sensory evaluation food flavor system to evaluate the flavor of Xinhui tangerine peel with different storage years.
[0037] As a traditional Chinese medicinal material for regulating qi, tangerine peel has been said to be "good for a long time" since ancient times. Its volatile aroma is prominent, and with the extension of storage years, the content of volatile components and aroma characteristics will change. By establishing the volatile components of tangerine peel The database is used to build an artificial intelligence evaluation system for the smell of tangerine peel, which can be used to identify tangerine peel of different years and origins. In addition, the evaluation system can correlate the flavor of the corresponding samples by comparing the GC-MS data of the orange peel samples, saving labor and obtaining the flavor data of the samples more accurately.
[0038] (1) Data collection
[0039] Such as figure 1 As s...
Embodiment 3
[0054] Example 3: Flavor evaluation of ethanol solutions with different concentrations.
[0055] (1) Establish sensory evaluation database and flavor intelligent evaluation model:
[0056] At room temperature of 20°C, take 21 clean and dry 100 ml volumetric flasks, and accurately measure 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70 , 75, 80, 85, 90, 95, and 100ml of absolute ethanol were placed in a 100ml volumetric flask, and water was added to make up the volume to obtain a concentration of 0%, 5%, 10%, 15%, 20%, and 25%. , 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 100%, a total of 21 ethanol solutions standard sample.
[0057] With the 21 standard samples of ethanol solution, the smellers of the sensory evaluation team were trained by the smell paper method to determine the preliminary artificial sensory evaluation. The method refers to GB / T 22366-2008 as follows: provide an ethanol solution of one concentration together with two s...
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