Records of Agricultural and Food Chemistry

Pleurospermum angelicoides, a perennial Apiaceae herb native to the high-altitude Himalayan region, has long been valued in traditional medicine for treating ailments such as fever, typhoid, and dysentery. Despite this ethnomedicinal relevance, comprehensive scientific syntheses on its phytochemistry and pharmacology remain limited. This review addresses this gap by systematically compiling and analysing literature on the species’ distribution, morphology, traditional uses, phytochemical diversity, and biological activities. Sources were identified through targeted searches of peer-reviewed journals, ethnobotanical records, and phytochemical databases. The available evidence highlights a remarkable spectrum of bioactive constituents, including coumarins, phenylpropanoids (e.g., nothoapiole, α-asarone), and terpenoids (p-cymene, camphene), with notable variations in essential oil profiles across plant parts and geographic locations. Pharmacological studies confirm antimicrobial and antioxidant activities, validating several traditional claims and underscoring the therapeutic promise of its extracts and essential oils. These findings suggest that P. angelicoides could serve as a natural source of lead compounds for novel drug development. In addition to summarising current knowledge, this review emphasises critical research gaps, particularly regarding molecular mechanisms, pharmacodynamics, and clinical validation. Unlike earlier scattered reports, it provides the first integrative account of the species’ phytochemical and pharmacological potential, thereby establishing a foundation for its broader application in modern herbal medicine and pharmaceutical innovation.

This study aimed to determine and model the relationships between some physical and mechanical properties of wood and physical and chemical properties of the soil, soil nutrient cations, and environmental factors in Alnus glutinosa subsp. barbata stands naturally growing in the Artvin region. Canonical Correlation Analysis (CCA) was employed to identify the relationships between the dependent and independent variables. Stepwise Multiple Linear Regression (MLR) Analysis was used to model the physical and mechanical properties. According to the CCA analysis results, a strong relationship was determined between MOR, MOE, and OWD and chemical soil properties such as pH, Mg, and K (CCA1, r = 0.89). In addition, a significant relationship was determined between CPG and DB and moisture and topographic factors such as AWC, FC, WP, and ALT (CCA2, r = 0.52). As a result of the MLR analysis, the model created for compressive strength parallel to grain explained 55% of the variance (R² = 0.552, RMSE = 35.66); The models created for oven-dry wood density and modulus of elasticity explained 54% (R² = 0.541, RMSE = 0.0352) and 38% (R2 = 0.386, RMSE = 530.99) of the variance, respectively.