Assessing the quality of traditional African medicines (tradimedicines) requires the development of methods for the overall analysis of the pharmacologically active and/or chemically characteristic constituents present. The chromatographic profile of phytochemical metabolites is an important tool for the quality control of these drugs. Obtaining a rich chromatographic profile requires a process for the global extraction of phytochemicals. The objective of this work is to propose a profiling protocol by liquid chromatography for the evaluation of different solvents for the global extraction of phytochemical metabolites. The methodology was based on the establishment of an optimized reverse phase liquid chromatographic profile (good selectivity) of a pool of different extracts of a complex plant matrix (mixture of three plant drugs), applied to the determination of better solvents overall extraction of phytochemical metabolites (high number of chromatographic peaks detected). The results showed that 26 solvents (alone or in a binary, ternary and quaternary mixture) were tested; A better chromatographic profile was obtained in binary gradient (water-acetonitrile with added formic acid and ammonia) on C18 stationary phase and the best solvents for the overall extraction of phytochemical metabolites consisted of ternary mixtures of solvent (apolar/alcohol /water). This binary gradient liquid chromatography technique (water-acetonitrile with added formic acid and ammonia) on C18 stationary phase can be proposed for the global profiling of phytochemical metabolites with dichloromethane/ethanol/water or chloroform/ethanol/water mixtures as the overall extraction solvent.
| Published in | Science Journal of Analytical Chemistry (Volume 10, Issue 4) |
| DOI | 10.11648/j.sjac.20221004.11 |
| Page(s) | 68-73 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Liquid Chromatographic Profile, Global Extraction, Phytochemical Metabolite, Tradimedicines
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APA Style
Nicaise Francois Bony, Andre Sawa Kpaibe, Timothee Aboua Okpekon, Marielle Akassi Assemiam, Christophe N'cho Amin, et al. (2022). Establishment of Liquid Chromatographic Profile for the Evaluation of Solvents for the Global Extraction of Phytochemical Metabolites from Tradimedicines. Science Journal of Analytical Chemistry, 10(4), 68-73. https://doi.org/10.11648/j.sjac.20221004.11
ACS Style
Nicaise Francois Bony; Andre Sawa Kpaibe; Timothee Aboua Okpekon; Marielle Akassi Assemiam; Christophe N'cho Amin, et al. Establishment of Liquid Chromatographic Profile for the Evaluation of Solvents for the Global Extraction of Phytochemical Metabolites from Tradimedicines. Sci. J. Anal. Chem. 2022, 10(4), 68-73. doi: 10.11648/j.sjac.20221004.11
AMA Style
Nicaise Francois Bony, Andre Sawa Kpaibe, Timothee Aboua Okpekon, Marielle Akassi Assemiam, Christophe N'cho Amin, et al. Establishment of Liquid Chromatographic Profile for the Evaluation of Solvents for the Global Extraction of Phytochemical Metabolites from Tradimedicines. Sci J Anal Chem. 2022;10(4):68-73. doi: 10.11648/j.sjac.20221004.11
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Download@article{10.11648/j.sjac.20221004.11,
author = {Nicaise Francois Bony and Andre Sawa Kpaibe and Timothee Aboua Okpekon and Marielle Akassi Assemiam and Christophe N'cho Amin and Michele Ake},
title = {Establishment of Liquid Chromatographic Profile for the Evaluation of Solvents for the Global Extraction of Phytochemical Metabolites from Tradimedicines},
journal = {Science Journal of Analytical Chemistry},
volume = {10},
number = {4},
pages = {68-73},
doi = {10.11648/j.sjac.20221004.11},
url = {https://doi.org/10.11648/j.sjac.20221004.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjac.20221004.11},
abstract = {Assessing the quality of traditional African medicines (tradimedicines) requires the development of methods for the overall analysis of the pharmacologically active and/or chemically characteristic constituents present. The chromatographic profile of phytochemical metabolites is an important tool for the quality control of these drugs. Obtaining a rich chromatographic profile requires a process for the global extraction of phytochemicals. The objective of this work is to propose a profiling protocol by liquid chromatography for the evaluation of different solvents for the global extraction of phytochemical metabolites. The methodology was based on the establishment of an optimized reverse phase liquid chromatographic profile (good selectivity) of a pool of different extracts of a complex plant matrix (mixture of three plant drugs), applied to the determination of better solvents overall extraction of phytochemical metabolites (high number of chromatographic peaks detected). The results showed that 26 solvents (alone or in a binary, ternary and quaternary mixture) were tested; A better chromatographic profile was obtained in binary gradient (water-acetonitrile with added formic acid and ammonia) on C18 stationary phase and the best solvents for the overall extraction of phytochemical metabolites consisted of ternary mixtures of solvent (apolar/alcohol /water). This binary gradient liquid chromatography technique (water-acetonitrile with added formic acid and ammonia) on C18 stationary phase can be proposed for the global profiling of phytochemical metabolites with dichloromethane/ethanol/water or chloroform/ethanol/water mixtures as the overall extraction solvent.},
year = {2022}
}
TY - JOUR T1 - Establishment of Liquid Chromatographic Profile for the Evaluation of Solvents for the Global Extraction of Phytochemical Metabolites from Tradimedicines AU - Nicaise Francois Bony AU - Andre Sawa Kpaibe AU - Timothee Aboua Okpekon AU - Marielle Akassi Assemiam AU - Christophe N'cho Amin AU - Michele Ake Y1 - 2022/11/04 PY - 2022 N1 - https://doi.org/10.11648/j.sjac.20221004.11 DO - 10.11648/j.sjac.20221004.11 T2 - Science Journal of Analytical Chemistry JF - Science Journal of Analytical Chemistry JO - Science Journal of Analytical Chemistry SP - 68 EP - 73 PB - Science Publishing Group SN - 2376-8053 UR - https://doi.org/10.11648/j.sjac.20221004.11 AB - Assessing the quality of traditional African medicines (tradimedicines) requires the development of methods for the overall analysis of the pharmacologically active and/or chemically characteristic constituents present. The chromatographic profile of phytochemical metabolites is an important tool for the quality control of these drugs. Obtaining a rich chromatographic profile requires a process for the global extraction of phytochemicals. The objective of this work is to propose a profiling protocol by liquid chromatography for the evaluation of different solvents for the global extraction of phytochemical metabolites. The methodology was based on the establishment of an optimized reverse phase liquid chromatographic profile (good selectivity) of a pool of different extracts of a complex plant matrix (mixture of three plant drugs), applied to the determination of better solvents overall extraction of phytochemical metabolites (high number of chromatographic peaks detected). The results showed that 26 solvents (alone or in a binary, ternary and quaternary mixture) were tested; A better chromatographic profile was obtained in binary gradient (water-acetonitrile with added formic acid and ammonia) on C18 stationary phase and the best solvents for the overall extraction of phytochemical metabolites consisted of ternary mixtures of solvent (apolar/alcohol /water). This binary gradient liquid chromatography technique (water-acetonitrile with added formic acid and ammonia) on C18 stationary phase can be proposed for the global profiling of phytochemical metabolites with dichloromethane/ethanol/water or chloroform/ethanol/water mixtures as the overall extraction solvent. VL - 10 IS - 4 ER -
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