Volatile oil from traditional Chinese medicine has various biological activities and has pharmacological activities in the central nervous system, digestive system, cardiovascular system, respiratory system, etc. These oils are widely used in clinical practice. However, the development of their clinical applications is restricted due to the disadvantages of volatile oils, such as high stimulation, high volatility and poor stability. To improve the stability of a volatile oil in the preparation process, its volatilization and stable release must be controlled. In this paper, porous starch was used as a solid carrier material, and liquid volatile oil was solidified by physical adsorption. GC–MS was used to determine the chemical constituents of the volatile oil, solidified powder and tablets, and the volatilization rules of 34 chemical constituents were analysed statistically. The solidified volatile oil/porous starch powder was characterized by XRD, TGA and DSC, and the VOCs of the volatile oil before and after solidification were analysed by portable GC–MS. Finally, the stable release of the volatile oil could be optimized by changing the porous starch ratio in the formulation. Volatilization was shown to be closely related to the peak retention time and chemical composition, which was consistent with the theory of flavour. The physical properties and chemical composition of the volatile oil did not change after curing, indicating that the adsorption of the volatile oil by porous starch was physical adsorption. In this paper, the porous starch-solidified volatile oil had a slow-release effect, and the production process is simple, easy to operate, and has high application value.

The active component-target network and protein-protein interaction network of Compound Anshen essential oil were constructed. The target functions and related pathways were analyzed to explore the mechanism of Compound Anshen essential oil in the treatment of insomnia. GC-MS was used to detect the chemical composition of Compound Anshen essential oil, and the TCMSP, STITCH, TTD, and DrugBank databases were searched to predict and screen the targets of Compound Anshen essential oil in the treatment of insomnia. Cytoscape software was used to construct the network diagrams of the active component-action target and protein-protein interaction networks, ClueGO software was used to analyze the GO enrichment and KEGG pathway of the target, and the systemsDock website database was used for molecular docking. The analysis of the network results showed that the activity of Compound Anshen essential oil mainly involves biological processes such as the phospholipase C-activating G protein-coupled receptor signaling pathway, response to ammonium ions, calcium ion transport into the cytosol, and chloride transport. The results of molecular docking showed that linalool, caryophyllene, dibutyl phthalate, (-)-4-terpineol, and (-)-α-terpineol have good binding activity with ADRB2, DRD2, ESR1, KCNH2, NR1H4, NR1I2, NR1I3, and TRPV1 targets. This study demonstrates the multicomponent, multitarget, and multichannel characteristics of Compound Anshen essential oil and provides a new therapeutic idea and method for further research on the mechanism of Compound Anshen essential oil in the treatment of insomnia.

Background: Modern research has proved that the volatile oil (VO) of Citrus × aurantium L. [Rutaceae] has the effect of treating depression, but the mechanism of treating depression by sniffing has not been studied. Objectives: To study the mechanism of VO on depression. Materials and Methods: Part I: Except for the blank group, the sniffing group and nasal drip group were continuously administered for 7 days to investigate the optimal administration method. Part II: Except for the blank group, the model, positive group, high, medium, and low dose group of VO were established by chronic unpredictable stress test. The VO was given on the 7th day of modeling for 17 consecutive days. The expression of neurotransmitters and receptors in the brain was determined. The medicinal ingredients in rat brain tissue and blood were detected by gas chromatography–mass spectrometry (GC–MS). Results: Compared with nasal drip, sniffing administration has less irritation to the nasal mucosa. The VO could reduce the forced swimming immobility time, adjust the activity state, increase the content of γ-aminobutyric acid (GABA), reduce the content of glutamate, and upregulate the expression of GABAα1, GABAγ2, and their mRNA. The main pharmaceutical component is d-limonene. Conclusion: d-limonene in VO upregulates GABAα1, GABAγ2 expression to treat depression.