Establishment Of Artificial Intelligence Flavor Evaluation System And Research On Gastrointestinal Mucosal Repair Activity Of Volatile Components Of Dried Tangerine Peel

Cantonese chenpi is a traditional Chinese herbal medicine as well as food.It has the effect of protecting the stomach and is good for the throat.Chenpi has various volatile compounds.Based on the current demand for creative food flavor evaluation methods,this paper takes China’s Guangdong specialty medicine Xinhui Chenpi as the research object,innovatively combines food analysis measures with computer analysis technology,using Python,the high-level programming language to analyzes the volatile component data of tangerine peel,aiming to establish a new food flavor artificial intelligence evaluation system.In addition,Chenpi has the saying of“The older,the better”since ancient times.The longer the storage year chenpi has,the greater the aroma and the effect.The mechanism and material basis of the efficacy of dried tangerine peel has become a hot point of research on the activity of traditional Chinese medicine and natural health food.In this paper,different in vitro models were used to evaluate the effects of the characteristic components of the tangerine peel on intestinal movement and the repair activity agai nst gastric mucosal damage,and the characteristic substances of the tangerine peel were found to play the role of nourishing the stomach.The specific research results are as follows:1.Chemical detection and analysis of volatile components of dried tangerine peel:A total of 25 tangerine peel samples from 3 new clubs in Xinbaotang,Hongbaosheng and Heyilong were detected by solid phase microextraction-gas chromatography-mass spectrometry（SPME-GC-MS）.The volatile component data（the storage years ranged from1989 to 2016）were imported into the traditional Chinese medicine chromatographic fingerprint similarity evaluation system as the chromatographic raw data and three Chenpi gas chromatographic fingerprints of different stores in different years were established.After comparing the similarity,principal component analysis and cluster analysis of dried tangerine peels in different years,it is determined that the volatile components of tangerine peel will change with the extension of the year,and the similar volatile components of tangerine peels are similar.Though principal component analysis,chenpi from 2013 and2015 were sort as the same type which has shorter storage year.Chenpi from 1989 and1995 were sort as another tpye,and the remaining samples were classified as the third type.Claster analysis sort chenpi from 2016 and 2015 as the same type,which have shorter storage year,while chenpi from 1998 and 1997 were sort as another tpye,and the remaining samples were classified as the third type.The results show that the classification of the principal component and the cluster analysis is consistent,so it is considered that it is feasible to classify the age of the tangerine peel by the volatile components.2.Establishment of artificial intelligence evaluation system for volatile components of dried tangerine peel:63 Xinhui tangerine peel volatile components’flavor data such as aroma type and aroma intensity were detected by solid phase microextraction-gas chromatography-mass spectrometry-smell detector（SPME-GC-MS-O）.By fitting the relationship between the aroma intensity and the aroma content of each volatile component and the relationship between the tangerine peel year and each volatile component,the validity and dispersion of the data were preliminarily recognized.The former fitting results found the relationship between the aroma intensity and its content is variable.After the content is segmented,most of the fitting degree reaches 0.7 or more,and there is a certain regularity.The fitting results of the latter found that the model established after fitting has a high recognition degree for the tangerine age of the training set,and the recognition degree of the tangerine age of the test set is low,and the data needs further studying.Then,through the professional high-level programming software Python,the characteristics of the tangerine peel’s original town,type,aroma content and aroma intensity are input,and the storage year of tangerine peel is used as the output to establish a prediction system which can recognize 2 catologues of chenpi,1-5 years or 5-31 years and has a prediction accuracy of 75%.3.Study on the repairing activity of gastrointestinal mucosal damage of characteristic volatile components of dried tangerine peel.As the characteristic volatile components of tangerine peel,4-nonenol and dihydrocarvone were used in the rabbit intestine model,the effects of the volatile components of tangerine peel oil.4-nonenol,dihydrocarvone,heptamethoxy flavonoids and Chuan Chenpi Su on isolated intestinal movement were investigated.It was found that the tangerine peel oil could inhibit the moving activity of the isolated intestine,and the effect of the tangerine peel in 2006 was stronger than that of the tangerine peel in 2016.From this aspect,the old saying of tangerine peel“The older,the better”was verified.In the subsequent monomer verification,it was found that 4-nonenol,dihydrocarvone,heptamethoxy flavonoids and Chuan Chenpi Su were not the active components of tangerine oil to inhibit intestinal movement.In the gastric mucosal epithelial cell model,It’s found that these 2 compositions can promote nearly 2 times cell proliferation at the concentration of 10^-3-10^-2μM（very low）.In the cell scratch teat,the active monomer at this concentration can significantly promote cell damage healing,and the effect is even better than the positive control group’s effect.It indicated that 4-nonenol and dihydrocarvone have the effect of repairing the gastric mucosal injury,and it is the active ingredient in chenpi.By transcriptome analysis,it was further found that the expression of TEAD4,SMAD1,BIRC5 and AXIN1 in Hippo signaling pathway was up-regulated,and the expression of EP300 gene in TGF-βsignaling pathway was down-regulated when the damaged GES-1 was exposed in the medium with dihydrocarvone,while the expression of TRAF2 was up-regulated and CASP8 was down-regulated in TNF signaling pathway when the cells were cultured by 4-nonenol.In this way,the proliferation and migration speed and the healing rate of GES-1 was promoted.