Quantitative evaluation of <i>Boerhavia diffusa</i> and its commercial formulations with respect to its major bioactive marker, eupalitin galactoside, using high-performance thin-layer chromatography

Mallavadhani, Uppuluri Venkata; Aparna, Yagnambhatla; Mohapatra, Satyabrata; Mane, Dhanunjay Vithalrao

doi:10.1556/1006.2017.30.6.10

Cited by 4 publications

(2 citation statements)

References 12 publications

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“… Sr. No Medicinal Plant and Part Used for Analysis Technique Method/Type of Analysis Identified Metabolites (Major) References 1 Achyranthes aspera (Leaf) LITE-5MS GC-MS (Qualitative) Column: 30 m × 0.25 mm I.D., 0.25 µm Medium: Helium as carrier gas, flow rate of 1.1 mL/min Butanoic acid, Phytol, 1-Butanol, 6-Octen-1-ol, 3,7 Dimethyl-, Propanoate, Decanoic acid, 6-Methylfuro [2,3-C]pyrid-5-one, 3,7,11,15-Tetramethyl-2-hexadecen-1-ol, 2-Decen-1-ol, 3-Bromo-2-Methoxycyclohexanone, 2-Nonen-1-ol, Cyclohexane, 1-Hexadecyne (14.43%), 6-Octen-1-ol, Propanoate, 6-Octen-1-ol, 3,7 Dimethyl-,Propanoate. [ 44 ] 2 Aerva javanica (Leaf) GC-MS (Qualitative) Column: HP-5MS (30 m × 0.025 mm) Medium: Helium as a carrier gas, flow rate of 13 mL/min 3-allyl-6-methoxyphenol, dodecanal, (E)-6,10-dimethyl-5,9-undecadien-2-one, trans-β-ionone, β-panasinsene [ 45 , 46 ] 3 Aerva lanata (Aerial parts and roots) LC-ESI-MS/MS (Qualitative and quantitative) Column: (30 m × 0.25 mm I.D., × 1 EMdf) Medium: Helium as carrier gas, flow rate of 1 mL/min. Quercetin, kaempferol, and myricetin, Gallic acid, p -coumaric, Vanillic, Caffeic acid, Rutin, Ferulic acid, Astragalin [ 47 ] 4 Allamanda cathartica (Leaf) GC-MS (Qualitative) Column: 30 mm in length, 0.25 mm I.D., and 1 µm Medium: Helium as a carrier gas, flow rate of 1 mL/min Glycerin, n-hexadecanoic acid, Phytol, Thymine...…”

Section: Review Findingsmentioning

confidence: 99%

Metabolomics and Network Pharmacology in the Exploration of the Multi-Targeted Therapeutic Approach of Traditional Medicinal Plants

Sharma

Yadav

2022

Plants

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Metabolomic is generally characterized as a comprehensive and the most copious analytical technique for the identification of targeted and untargeted metabolite diversity in a biological system. Recently, it has exponentially been used for phytochemical analysis and variability among plant metabolites, followed by chemometric analysis. Network pharmacology analysis is a computational technique used for the determination of multi-mechanistic and therapeutic evaluation of chemicals via interaction with the genomes involved in targeted or untargeted diseases. In considering the facts, the present review aims to explore the role of metabolomics and network pharmacology in the scientific validation of therapeutic claims as well as to evaluate the multi-targeted therapeutic approach of traditional Indian medicinal plants. The data was collected from different electronic scientific databases such as Google Scholar, Science Direct, ACS publication, PubMed, Springer, etc., using different keywords such as metabolomics, techniques used in metabolomics, chemometric analysis, a bioinformatic tool for drug discovery and development, network pharmacology, methodology and its role in biological evaluation of chemicals, etc. The screened articles were gathered and evaluated by different experts for their exclusion and inclusion in the final draft of the manuscript. The review findings suggest that metabolomics is one of the recent most precious and effective techniques for metabolite identification in the plant matrix. Various chemometric techniques are copiously used for metabolites discrimination analysis hence validating the unique characteristic of herbal medicines and their derived products concerning their authenticity. Network pharmacology remains the only option for the unique and effective analysis of hundreds of chemicals or metabolites via genomic interaction and thus validating the multi-mechanistic and therapeutic approach to explore the pharmacological aspects of herbal medicines for the management of the disease.

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Section: Review Findingsmentioning

confidence: 99%

Metabolomics and Network Pharmacology in the Exploration of the Multi-Targeted Therapeutic Approach of Traditional Medicinal Plants

Sharma

Yadav

2022

Plants

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“…The quantification studies of ferulic acid, caffeic acid, berberine and angoline were carried out at 254 nm as per ICH guide line and the content of each marker in the sample was expressed in µg/mg (w/w). [21] ADME analysis ADME analysis for ferulic acid, caffeic acid, berberine and angoline was established through the computational tool "SwissADME (http:// www.swissadme.ch/index.php)". TPSA (Topological Polar Surface Area (TPSA) for drug integrity, Consensus Log Po/w for drug lipophilicity, Log Kp (skin permeation) and drug-likeness were predicted as the standard parameters for consideration of their bioavailable or ADME response.…”

Section: Ft-ir Spectroscopy Analysis Of Isolated Compoundsmentioning

confidence: 99%

Phytochemical and Network Pharmacology Based Evaluation of Antiepileptic Potential of Identified Metabolites in Argimone mexicana

Gahlot¹,

Yadav²

2021

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Background: Quality-based assessment of herbal drugs or products is being more concerning for their quality, safety and regulatory purpose. A. mexicana is a traditional herbal medicine that has a long history in the treatment of arthritis, anti-fungal anti-cancer and brain disorders. Aim: Due to lack of scientific evidence based on phytopharmacology, the study is aimed for phytochemical and antiepileptic evaluation of identified metabolites in A. mexicana. Materials and Methods: Phytochemical identification was done using MS, FTIR and 1 H-NMR and quantitated using HPTLC densitometric analysis. Further, ADME and network pharmacology studies were performed to evaluate biological response of identified metabolites. Results: The resulted outcomes of the spectral analysis suggest isolated compounds as ferulic acid, caffeic acid, berberine and angoline. In HPTLC quantitative analysis, the content of ferulic acid, caffeic acid, berberine and angoline was found as 3.475 ± 0.028, 1.036 ± 0.013, 0.714 ± 0.014 and 0.738 ± 0.081 µg/mg of A. mexicana extract. In ADME analysis, berberine and angoline showed good bioavailable response while in network pharmacology analysis, except angoline, all the metabolites significantly interacted with several genes (SOD1, NOS, MAPK3, UG-T1As, G6PD, ACOT2, BAAT etc) associated with brain ischemia, oxidative and inflammatory stress or the genes response for elimination of toxins from the body. Conclusion: Hence, the study enlightens that A. mexicana possess several major and minor metabolites and which can be the key parameter for further quality and regulatory based assessment of A. Mexicana and biological role against oxidative and inflammatory stress induced epileptic seizure.

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Chromatography and hyphenated techniques in quality-based standardization of medicinal plants: Current scenario and future perspectives

Sharma

Yadav

2023

South African Journal of Botany

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Quantitative evaluation of Boerhavia diffusa and its commercial formulations with respect to its major bioactive marker, eupalitin galactoside, using high-performance thin-layer chromatography

Cited by 4 publications

References 12 publications

Metabolomics and Network Pharmacology in the Exploration of the Multi-Targeted Therapeutic Approach of Traditional Medicinal Plants

Metabolomics and Network Pharmacology in the Exploration of the Multi-Targeted Therapeutic Approach of Traditional Medicinal Plants

Phytochemical and Network Pharmacology Based Evaluation of Antiepileptic Potential of Identified Metabolites in Argimone mexicana

Chromatography and hyphenated techniques in quality-based standardization of medicinal plants: Current scenario and future perspectives

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