Hendri Wasito , Amelia Rizqa Fauziyah , Aprilia Nur Tasfiyati , Harris Antonius , Yuli Widyastuti , Abdi Wira Septama
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引用次数: 0
Abstract
Antibiotic resistance poses a global health challenge, driving the search for novel antibacterial agents. Plant-derived essential oils offer promising potential due to their diverse bioactive constituents. This study investigates the essential oils of Zingiber cassumunar and Zingiber officinale, traditionally recognized for their medicinal properties. Metabolite profiling was conducted using a non-targeted gas chromatography–mass spectrometry (GC–MS) metabolomics approach combined with chemometrics, while antibacterial activity against Escherichia coli, Salmonella typhi, Shigella sonnei, and Bacillus cereus was assessed via the broth microdilution method. The synergistic effect with tetracycline was evaluated using the checkerboard assay. A total of 169 metabolites were detected, with 85 putatively annotated. Z. officinale oil demonstrated stronger antibacterial activity (MIC 7.8–15.6 μg/mL) and synergistic interaction with tetracycline (FICI 0.61). These findings highlight the potential of Zingiber essential oils as alternative antibacterial agents and underscore the utility of metabolomics for elucidating their bioactive profiles.
期刊介绍:
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.