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All Journal Journal of Natural Product for Degenerative Diseases
Rumondor, Ridel Yosua
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Biochemistry, Genetics & Molecular Biology Health Professions Medicine & Pharmacology Public Health

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Application of LC–MS in the Development of Natural Product–Based Antidepressant Drugs: A Systematic Literature Review Rumondor, Ridel Yosua; Yantih, Novi; Kholilah; Nur Pujiastuti
Journal of Natural Product for Degenerative Diseases Vol. 3 No. 2 (2026): JNPDD March In Press
Publisher : Faculty of Pharmacy Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58511/v3i2.9690

Abstract

 Due to the shortcomings of existing medications, depression remains a worldwide neuropsychiatric disorder requiring innovative therapeutic strategies. Natural compounds represent promising multi-target antidepressant candidates; however, their chemical complexity necessitates advanced analytical tools. This systematic literature review assessed the application of liquid chromatography–mass spectrometry (LC–MS) in the identification, profiling, and standardization of natural antidepressant compounds. A comprehensive search of major databases was conducted following PRISMA guidelines for studies published between 2014 and 2024, with a total of six eligible studies were included in the qualitative synthesis.. The findings indicate that LC–MS, particularly high-resolution platforms such as QTOF and Orbitrap, is the primary method for metabolite profiling and dereplication of bioactive classes including flavonoids, alkaloids, and phenolic acids. Integration of LC–MS data with in vitro and in vivo models has facilitated the correlation of chemical profiles with pharmacological mechanisms, such as neurotransmitter regulation. Despite its pivotal role in evidence-based natural product research, challenges remain in analytical standardization and clinical translation. In conclusion, LC–MS is an indispensable and transformative tool in the development of natural product-based antidepressants, providing robust chemical characterization that supports pharmacological validation and accelerates drug discovery. Future research should emphasize methodological harmonization and systems biology integration to enhance translational impact. 
Co-Authors Kholilah Novi Yantih Nur Pujiastuti