Multi-component quantitative and feed-forward neural network for pattern classification of raw and wine-processed Corni Fructus
作者机构：State Key Laboratory of Food Nutrition and Safety/Key Laboratory of Industrial MicrobiologyMinistry of Education/Tianjin Key Laboratory of Industry Microbiology/National and Local United Engineering Lab of Metabolic Control Fermentation Technology/China International Science and Technology Cooperation Base of Food NutritionSafety and Medicinal Chemistry/College of BiotechnologyTianjin University of Science&TechnologyTianjin 300457China Tianjin Key Laboratory for Modern Drug Delivery&High-EfficiencySchool of Pharmaceutical Science and TechnologyTianjin UniversityTianjin 300072China.
出 版 物：《Traditional Medicine Research》 (TMR传统医学研究)
年 卷 期：2023年第8卷第1期
页 面：12-19页
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine.(No.ZYYCXTD-D-202005) the Key Project at Central Government Level(No.2060302) the National Natural Science Foundation of China Grants(No.81872956) Tianjin Science and Technology Planning Project(No.19YFZCSY00170)
主 题：Cornus officinalis Sieb.et Zucc. quality evaluation fingerprints processing mechanism feedforward neural network
摘 要：Background:To promote the quality evaluation,clarify the processing mechanism and distinguish origins of Corni Fructus(cornus)from different ***:This study developed a high performance liquid chromatography method for simultaneous determination of 5-hydroxymethylfurfural,2 phenolic acids and 4 iridoid glycosides and the reference fingerprint of cornus from different *** addition,the feedforward neural network model provided a pattern classification of sample ***:The content of morroniside and loganin were the highest in all raw cornus samples ranging from 9.45μg/mg to 16.3μg/mg and 6.64μg/mg to 13.7μg/mg,*** level of sweroside in raw cornus from Henan(0.83μg/mg^(-1).39μg/mg)and Zhejiang(0.64μg/mg^(-1).17μg/mg)were greater than other *** wine-processing,the glucose or fructose were dehydrated to increase the levels of *** C-4 position of-COOCH3 of hot-sensitive iridoid glycosides was hydrolyzed to generate-COOH as stable *** derivatives may be degraded to increase the content of phenolic ***,an excellent feedforward neural network model for identification of raw cornus and wine-prepared cornus was established which could distinguish the sample ***:This work provided a trustworthy method to evaluate the quality and distinguish the sources of ***,the clear processing mechanism provided a scientific foundation for controlling the cornus quality during wine-processing.
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