Dae Wook Kim (Forest Bioresources Department, Baekdudaegan Natioanl Arboretum)

Dae Wook Kim (Forest Bioresources Department, Baekdudaegan Natioanl Arboretum)

Hyun Sim Woo (Forest Bioresources Department, Baekdudaegan Natioanl Arboretum)

Dae Wook Kim (Forest Bioresources Department, Baekdudaegan Natioanl Arboretum)

Yu Jin Oh (Forest Bioresources Department, Baekdudaegan Natioanl Arboretum)

Yeong-su Kim (Forest Bioresources Department, Baekdudaegan Natioanl Arboretum and Ildusanbang)

Hyun Sim Woo (Forest Bioresources Department, Baekdudaegan Natioanl Arboretum)

Traditional folk medicine widely uses Zanthoxylum armatum and Z. acanthopodium, members of the Rutaceae family, for their notable anti-inflammatory, antibacterial, hepatoprotective, and antidiabetic characteristics. Nevertheless, the extensive analysis of these species' phytochemical composition in order to elucidate their medicinal properties remains ambiguous. We used gas chromatography-mass spectrometry (GC-MS) and multivariate statistical analysis to look at how biologically important metabolites changed in the different parts of two plants, including their leaves, bark, flowers, and fruits. A comparative assessment was conducted to evaluate PLS-DA models derived from all metabolites and a subset of metabolites with VIP values exceeding 1. The aim was to identify the most effective compounds for distinguishing the biologically significant compounds in the various parts of these plants. The metabolic profiles of extracts from different parts were investigated using GC-MS analysis, along with mass spectral data processing and multivariate statistical analysis tools. The analysis indicates a notable disparity in the metabolite composition among the leaves, bark, flowers, and fruits of each other plant. The GC-MS analysis detected several predominant compounds, including methyl nitrate, 1,3,5-cycloheptatriene, furan-2-carobnyl chloride, n-caproic acid virryl ester, 1,2,4,4-tetramethylcylclopentene, cyclohexaneethanol, 3-hexenoic acid, and methacrolein. The phytochemical and ethnobotanical databases curated by Dr. Duke, available at https://phytochem.nal.usda.gov/, have verified the crucial significance of these identified compounds in diverse biological activities. This study used GC-MS, mass spectral data processing, and multivariate statistical analysis to perform metabolic profiling of various parts of Z. armatum and Z. acanthopodium. The study also proposed objective criteria for distinguishing between different Zanthoxylum samples.