In order to characterize the volatile chemical components of Schisandra chinensis processed by different Traditional Chinese Medicine Processing methods and establish fingerprint profiles, headspace–gas chromatography–ion mobility spectrometry (HS-GC-IMS) technology was employed to detect, identify, and analyze Schisandra chinensis processed by five different methods. Fingerprint profiles of volatile chemical components of Schisandra chinensis processed by different methods were established; a total of 85 different volatile organic compounds (VOCs) were detected in the experiment, including esters, alcohols, ketones, aldehydes, terpenes, olefinic compounds, nitrogen compounds, lactones, pyrazines, sulfur compounds, thiophenes, acid, and thiazoles. Principal component analysis (PCA), Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), and Pearson correlation analysis methods were used to cluster and analyze the detected chemical substances and their contents. The analysis results showed significant differences in the volatile chemical components of Schisandra chinensis processed by different methods; the Variable Importance in Projection (VIP) values of the OPLS-DA model and the P values obtained from one-way ANOVA were used to score and screen the detected volatile chemical substances, resulting in the identification of five significant chemical substances with the highest VIP values: Alpha-Farnesene, Methyl acetate,1-octene, Ethyl butanoate, and citral. These substances will serve as marker compounds for the identification of Schisandra chinensis processed by different methods in the future.

In 2019, bacterial canker caused by Pseudomonas syringae pv. actinidiae was first identified in Actinidia arguta. This disease has led to significant yield reduction, plant mortality, and substantial economic losses in A. arguta cultivation. Its emergence poses a novel challenge to the sustainable global production of kiwifruit. Currently available treatments for bacterial canker caused by P. syringae pv. actinidiae are scarce. Moreover, the environmental toxicity of copper-based compounds and emerging antibiotic resistance issues necessitate the development of eco-friendly control strategies. Disease management strategies based on biocontrol bacteria have shown broad application prospects. In this study, the isolate CHHM-1 with significant antagonistic activity against P. syringae pv. actinidiae was isolated from the rhizosphere soil of healthy A. arguta. It was identified as Pseudomonas koreensis through 16S rRNA gene and whole-genome sequencing. Genomic analysis revealed that the isolate CHHM-1 harbors various genes related to biocontrol, plant growth promotion, and antibiotic resistance, suggesting strong environmental adaptability and functional potential. Furthermore, the strain exhibited multiple plant growth-promoting traits, such as nitrogen fixation, phosphate solubilization, siderophore production, and synthesis of indole-3-acetic acid (IAA). In vitro antagonism assays confirmed the strong antagonistic activity of the isolate CHHM-1 against P. syringae pv. actinidiae. A dual-culture plate assay showed an average inhibition zone of 4.36 cm, while preventive application on plants significantly reduced lesion length to 1.3 mm (vs. 6.2 mm control) in shoots and lesion area to 10% (vs. 80% control) in leaf discs. Further antibacterial tests revealed that its inhibitory mechanism is attributed to secreted antimicrobial substances. These findings provide a promising candidate for developing novel biopesticides to combat P. syringae pv. actinidiae variants, reduce chemical dependency, and foster sustainable A. arguta production.

As a wine-producing region in China, Xinjiang’s ecological conditions endow grapes with distinctive flavor potential. However, systematic research on volatile compounds in wines from Vitis amurensis Rupr. varieties in this region remains limited. Therefore, wines from four Xinjiang Vitis amurensis varieties (‘Shuanghong’, ‘Zuoyouhong’, ‘Xuelanhong’, and ‘Beibinghong’) were analyzed using high-performance liquid chromatography (HPLC), headspace gas chromatography–ion mobility spectrometry (HS-GC-IMS), electronic nose (E-nose), odor activity value (OAV) calculation, and multivariate analysis. Physicochemical parameters, organic acids, volatile organic compounds (VOCs), and OAVs were determined. Results showed significant differences in physicochemical properties among the varieties, potentially correlating with wine mouthfeel. Beibinghong wine contained the highest total VOC concentration. Among 64 identified VOCs, 37 had OAVs ≥ 1. Multivariate analysis identified 14 key differential volatile compounds (VIP ≥ 1, p < 0.05) responsible for flavor differences between varieties, with each variety exhibiting distinct key compounds. E-nose analysis effectively distinguished the aroma profiles of the four wines. This study elucidates the chemical and volatile compound characteristics of wines from Xinjiang Vitis amurensis varieties, providing a theoretical foundation for research on their flavor profiles. It also aids in selecting Vitis amurensis varieties for cultivation and supports the development of distinctive regional wines in Xinjiang.