Biotechnological Approaches in Natural Products Isolation and Characterization
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Published on: March 31, 2021
Shehla Adhami1, Humaira Farooqi1
1Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, Hamdard Nagar, New Delhi, 110062, India.
Abstract:
Natural products derived from plants, animals, microbes, and minerals remain a cornerstone of modern drug discovery by virtue of their structural-functional diversity and broad spectrum of bioactivities. However, the isolation and characterization of bioactive compounds from complex natural matrices remain a significant challenge in conventional methodologies, primarily due to metabolites' anonymity, low metabolite abundance, chemical instability, dereplication of already known metabolites, time-consuming processes, limited resolution, and the complexity and non-ecofriendly nature of many methods. Recent advancements in biotechnological applications, including high-throughput screening platforms and advanced mass spectrometric techniques such as GC-MS, LC-MS, multidimensional 1D, 2D & 3D NMR, metabolomics-driven chemical profiling, rapid DNA-detection-based plant authentication techniques, green extraction technologies, bioanalytical techniques like biochips, probes, biosensors, immunoassays, and tools corresponding to genome mining and network pharmacology areas have significantly accelerated the identification, isolation, and characterization of lead compounds. However, despite these advancements, biotechnological approaches still present critical limitations and challenges involving low metabolite annotation rates, difficulty distinguishing stereoisomers, and limited reproducibility and scalability of extraction processes. The present review critically examines traditional and some selective modern biotechnological strategies employed in natural product isolation and characterization, highlighting their advantages, limitations, and applicability in Pharmacognosy research. Furthermore, it discusses current bottlenecks and emerging integrative approaches aimed at improving efficiency, accuracy, and translational potential in natural products-driven drug discovery.
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