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The volatile components of Meitan Cuiya tea in Guizhou were determined, which provides theoretical basis to improve and enhance the aroma quality of Meitan Cuiya tea. Headspace solid-phase microextraction method (HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS) was used for the analysis of aroma components from Meitan Cuiya tea. The relative contents of volatile substances in samples were determined and compared. Meitan Cuiya tea had 43 kinds of volatile compounds, among them, the predominant compounts were alcohols, esters, aldehydes, ketones, hydrocarbons and others, of which the major ones were ethanal (2.444%), methyl sulfide (5.264%), linalool (5.106%), trans-Geraniol (2.587%), dihydroactinidiolide (2.364%), hexadecane (3.605%) and caffeine (26.348%). The GC-MS method had the advantages of rapid, simple and accurate and it was suitable for the study of aroma components in Meitan Cuiya tea. It provides advanced technical support for further studies on the chemical composition of tea aroma components and formation mechanism of Meitan Cuiya tea aroma quality.

Lupenone has been reported to possess numerous medicinal values and gives a positive antidiabetic effect. But the mechanism of preventing and treating type 1 diabetes has not been elucidated in type 1 diabetic rats. This study investigated the effects and mechanism of action of lupenone in preventing and treating type 1 diabetes by network pharmacology and diabetic rats. The blood glucose, glycosylated hemoglobin (HbA1c), insulin, and inflammatory factors in the pancreas of rats with type 1 diabetes were measured, and histopathological changes were observed after treatment with lupenone. The pharmacological network of ‘component-target-disease’ was constructed on diabetic rats. Gene function enrichment, the Kyoto Encyclopedia of Genes and Genomes pathway analysis, and molecular docking were performed. The results showed that lupenone can decrease fasting blood glucose and HbA1c levels, increase insulin content and interleukin (IL)-4, IL-10, and decrease IL-6, transforming growth factor β and tumor necrosis factor α levels in the pancreas. Furthermore, ten targets were identified, and 50 signal pathways closely related to type 1 diabetes and inflammation were screened by network pharmacology, including insulin resistance, type II diabetes, type I diabetes, insulin signal pathway, mitogen activated protein kinase (MAPK) signal pathway, and tumor necrosis factor (TNF) signal pathway. The docking affinity of potential targets and lupenone were between -3.3 and -9.8, among which caspase-3 (CASP3), cyclin-dependent kinase 4 (CDK4), inhibitor of kappaB kinase beta (IKBKB), transforming growth factor beta-1 (TGFB1), and TNF had high binding abilities. Thus, lupenone has the potential to be developed as a new drug for treating type 1 diabetes.

Abstract:The Japanese banana flower and pollen were analyzed by gas chromatography-mass spectrometry (GC-MS) technique, coupled with head-space solid micro-extraction (HS-SPME). The relative percentage of compounds were measured by retention index and peak area normalization method. A total of 48 volatiles were identified in Japanese banana flower without pollen. Forty volatiles were identified in Japanese banana pollen.There were 20 compounds we found in both flower and pollen, accounting for 34.35% and 49.99% of thetotal volatiles, respectively. It can be seen the compounds between flowers andpollen were different apparently. This is the first ever report revealing the differences of volatile components between the Japanese banana flower without pollen and pollen.