Effective air circulation is crucial for plant growth, requiring adequate airflow and environmental stability. This study utilized Computational Fluid Dynamics (CFD) to analyze airflow patterns in a controlled testing chamber, focusing on how miniature fan placement affects airflow direction and temperature distribution. Ten case studies were conducted, with the CFD model validated against experimental data collected from six monitoring locations on the plant growth table. Model validation was performed using statistical analyses including coefficient of determination (R²), root mean square error (RMSE), and mean absolute error (MAE). The validation results showed strong agreement between simulated and experimental data, with R² values of 0.92 for temperature and 0.89 for airflow velocity. Statistical analysis showed significant differences in both airflow and temperature models at the 0.05 level, with the CFD model validation yielding an RMSE of 2.02 and an average absolute error of 1.17. Among the tested configurations, case M1 achieved the highest air velocity (0.317 m/s) and lowest temperature (27.03 °C), compared to M2 (0.255 m/s, 27.17 °C) and M3 (0.164 m/s, 27.18 °C). The temperature variations between cases significantly impacted cold storage efficiency, with case M1’s superior airflow distribution providing more uniform cooling. These findings offer practical guidelines for optimizing ventilation system design in medicinal plant cultivation facilities, particularly in maintaining ideal storage conditions through strategic fan placement and airflow management.

Centella asiatica (L.) Urban is a medicinal herb containing valuable bioactive compounds widely used in pharmaceutical, cosmetic, and traditional medicine applications. This study investigated the effects of elevated CO₂ levels (1000, 800, and 600 ppm compared to ambient ~420 ppm) on secondary metabolite composition in C. asiatica using GC-MS analysis of ethyl acetate extracts. Significant treatment effects (p < 0.001) were observed across nine identified compounds, with α-copaene showing the most pronounced response. At 1000 ppm CO₂, sesquiterpene hydrocarbons, including α-copaene (10.60%) and trans-caryophyllene (8.97%), reached their highest concentrations, representing 232% and 413% increases over ambient conditions, respectively. Germacrene D demonstrated optimal synthesis at 800 ppm (8.12%) while remaining undetectable under ambient conditions. In contrast, the diterpene neophytadiene (16.84%) and the oxygenated sesquiterpene caryophyllene oxide (11.27%) exhibited maximum concentrations under ambient conditions. Principal Component Analysis confirmed distinct metabolic profiles, with the first two components explaining 84.38% of the total variance. Correlation analysis revealed strong positive relationships (r > 0.85, p < 0.001) between structurally related sesquiterpenes. These findings establish a foundation for optimizing cultivation conditions to enhance specific bioactive compound production in C. asiatica, with potential applications in pharmaceutical production systems targeting sesquiterpene-derived medicines. The research demonstrates that atmospheric CO₂ modulation offers a promising strategy for targeted enhancement of secondary metabolite synthesis, though further investigation of molecular mechanisms and environmental interactions is necessary for commercial implementation.