Hemp essential oils are rich in bioactive compounds, including terpenes and cannabinoids, yet standardized analytical methods for their simultaneous quality control are limited. This study aimed to (i) validate a static headspace gas chromatography–mass spectrometry (SHS-GC-MS) method for simultaneous quantification of 20 terpenes and 2 cannabinoids and (ii) apply it to fingerprint essential oils from four hemp strains, including local (HRDI2, HRDI5) and internationally cultivated (Charlotte’s Angel, Cherry Wine) varieties. The method met AOAC validation criteria, with detection limits of 0.025–0.5 µg/mL for terpenes and 1 µg/mL for cannabinoids. Quantitation limits ranged from 0.1–1 µg/mL for terpenes and 5 µg/mL for cannabinoids. Intraday precision (%RSD) ranged from 0.27–11.00%, while interday precision ranged from 3.14–13.89%. The method recoveries ranged from 85.12–115.47%. Precision and recovery confirmed the method’s reliability. Multivariate statistical analysis identified 82 metabolites, revealing distinct chemical fingerprints among strains, and emerged as newly identified chemotype markers, supporting chemotype classification. This work demonstrates, for the first time, a solvent-free, automatable SHS-GC-MS approach for simultaneous terpene and cannabinoid profiling in hemp essential oils, enabling both qualitative and quantitative characterization and supporting regulatory compliance for the development of standardized phytopharmaceutical products.

Chronic stress impairs cognition through gut–brain axis dysregulation and metabolic imbalance. This study applied untargeted fecal metabolomics to investigate the cognitive and metabolic effects of Bacopa monnieri (L.) Wettst (Brahmi), mixed Thai berry, and their combined extracts in rats exposed to chronic unpredictable mild stress. Cognitive performance was evaluated using the novel object recognition test. Fecal metabolites were profiled using LC-ESI-QTOF-MS, followed by data preprocessing and multivariate statistical analysis. Orthogonal partial least squares regression was applied to identify metabolites associated with the recognition index, and pathway enrichment analysis was subsequently performed to interpret biological relevance. All interventions were associated with improved recognition performance and treatment-related metabolic modulation. Biosynthesis of unsaturated fatty acids was consistently enriched across treatment groups, indicating a shared involvement of lipid remodeling. Treatment-specific responses were also observed: Brahmi was associated with linoleic and alpha-linolenic acid metabolism; mixed Thai berry extract demonstrated dose-dependent modulation of lipid metabolism, with low-dose supplementation additionally yielding amino-acid-derived metabolites; and bile acid-related signaling was uniquely detected in the low-dose combined extract group. These findings demonstrate that fecal metabolomics can capture distinct metabolic signatures associated with herbal extract-induced cognitive improvement and highlight lipid remodeling as a shared metabolic feature across interventions under chronic stress.

In natural products (NP) research, methods for the efficient prioritization of natural extracts (NEs) are key for discovering novel bioactive NPs. In this study a biodiverse collection of 1600 NEs, previously analyzed by UHPLC-HRMS2 metabolite profiling was screened for Wnt pathway regulation. The results of the biological screening drove the selection of a subset of 30 non-toxic NEs with an inhibitory IC50 ≤ 5 μg/mL. To increase the chance of finding structurally novel bioactive NPs, Inventa, a computational tool for automated scoring of NEs based on structural novelty was used to mine the HRMS2 analysis and dereplication results. After this, 4 out of the 30 bioactive NEs were shortlisted by this approach. The most promising sample was the ethyl acetate extract of the leaves of Hymenocardia punctata (Phyllanthaceae). Further phytochemical investigations of this species resulted in the isolation of three known prenylated flavones (3, 5, 7) and ten novel bicyclo[3.3.1]non-3-ene-2,9-diones (1, 2, 4, 6, 8-13), named Hymenotamayonins. Assessment of the Wnt inhibitory activity of these compounds revealed that two prenylated flavones and three novel bicyclic compounds showed interesting activity without apparent cytotoxicity. This study highlights the potential of combining Inventa's structural novelty scores with biological screening results to effectively discover novel bioactive NPs in large NE collections.