Treffer: Breaking the challenge of polyherbal quality control using UV and HPLC fingerprints combined with multivariate analysis.
Title:
Breaking the challenge of polyherbal quality control using UV and HPLC fingerprints combined with multivariate analysis.
Authors:
Roshan AA; Department of Pharmacognosy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.; Department of Pharmacognosy, Faculty of Pharmacy, University of Aden, Aden, Yemen., Hathout RM; Department of Pharmaceutics, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt., El-Ahmady SH; Department of Pharmacognosy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt., Singab AB; Department of Pharmacognosy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt., Gad HA; Department of Pharmacognosy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.; Department of Pharmacognosy, Faculty of Pharmacy, King Salman International University, South Sinai, Egypt.
Source:
Phytochemical analysis : PCA [Phytochem Anal] 2022 Mar; Vol. 33 (2), pp. 320-330. Date of Electronic Publication: 2021 Oct 27.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Wiley Country of Publication: England NLM ID: 9200492 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1565 (Electronic) Linking ISSN: 09580344 NLM ISO Abbreviation: Phytochem Anal Subsets: MEDLINE
Imprint Name(s):
Original Publication: Chichester, Sussex, UK : Wiley, c1990-
MeSH Terms:
References:
Choudhary N, Sekhon BS. An overview of advances in the standardization of herbal drugs. J Pharm Educ Res. 2011;2(2):55-70. https://doi.org/10.13040/IJPSR.0975-8232.8(9).3663-77.
Li Y, Wu T, Zhu J, et al. Combinative method using HPLC fingerprint and quantitative analyses for quality consistency evaluation of an herbal medicinal preparation produced by different manufacturers. J Pharm Biomed Anal. 2010;52(4):597-602. https://doi.org/10.1016/j.jpba.2010.01.018.
Kumar K, Bairi P, Ghosh K, Mishra KK, Mishra AK. Classification of aqueous-based ayurvedic preparations using synchronous fluorescence spectroscopy and chemometric techniques. Curr Sci. 2014;107(3):470-477. https://doi.org/10.18520/cs/v107/i3/470-477.
FDA. Botanical Drug Development Guidance for Industry.; 2016. http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm. Accessed March 26, 2021.
Bansal A, Chhabra V, Rawal RK, Sharma S. Chemometrics: A new scenario in herbal drug standardization. J Pharm Anal. 2014;4(4):223-233. https://doi.org/10.1016/j.jpha.2013.12.001.
Yang B, Wang Y, Shan L, et al. A Novel and Practical Chromatographic “Fingerprint-ROC-SVM” Strategy Applied to Quality Analysis of Traditional Chinese Medicine Injections: Using KuDieZi Injection as a Case Study. Molecules. 2017;22(7):1237. https://doi.org/10.3390/molecules22071237.
Mukherjee PK, Bahadur S, Chaudhary SK. Quality Related Safety Issue-Evidence-Based Validation of Herbal Medicine Farm to Pharma. Elsevier Inc.; 2015. https://doi.org/10.1016/B978-0-12-800874-4.00001-5.
Gad HA, El-Ahmady SH, Abou-Shoer MI, Al-Azizi MM. Application of chemometrics in authentication of herbal medicines: A review. Phytochem Anal. 2013;24(1):1-24. https://doi.org/10.1002/pca.2378.
Wang P, Nie L, Zang H. A Useful Strategy to Evaluate the Quality Consistency of Traditional Chinese Medicines Based on Liquid Chromatography and Chemometrics. J Anal Methods Chem. 2015;2015:1-11. https://doi.org/10.1155/2015/589654.
Chen D, Lin S, Xu W, et al. Qualitative and Quantitative Analysis of the Major Constituents in Shexiang Tongxin Dropping Pill by HPLC-Q-TOF-MS/MS and UPLC-QqQ-MS/MS. Molecules. 2015;20(10):18597-18619. https://doi.org/10.3390/molecules201018597.
Fu J, Li X, Lu H, Liang Y. Analysis of volatile components in herbal pair Semen Persicae-Flos Carthami by GC-MS and chemometric resolution. J Sep Sci. 2012;35(21):2940-2948. https://doi.org/10.1002/jssc.201200376.
Deattu N, Suseela L, Narayanan N. Chromatographic analysis of polyherbal extract and formulation by HPTLC and GC-MS methods. J Pharm Res. 2013;6(1):6-10. https://doi.org/10.1016/j.jopr.2012.11.005.
Sarker SD, Nahar L. Chapter 19 - Applications of High Performance Liquid Chromatography in the Analysis of Herbal Products. In: Mukherjee PKBT-E-BV of HM, ed. Evidence-Based Validation of Herbal Medicine. Elsevier; 2015:405-425 https://doi.org/10.1016/B978-0-12-800874-4.00019-2.
Aboulwafa MM, Youssef FS, Gad HA, et al. Authentication and Discrimination of Green Tea Samples Using UV-Visible, FTIR and HPLC Techniques Coupled with Chemometrics Analysis. J Pharm Biomed Anal. 2019;164:653-658. https://doi.org/10.1016/j.jpba.2018.11.036.
Sun L, Wang M, Ren X, Jiang M, Deng Y. Rapid authentication and differentiation of herbal medicine using 1H NMR fingerprints coupled with chemometrics. J Pharm Biomed Anal. 2018;160:323-329. https://doi.org/10.1016/j.jpba.2018.08.003.
Ni L-J, Zhang L-G, Hou J, Shi W-Z, Guo M-L. A strategy for evaluating antipyretic efficacy of Chinese herbal medicines based on UV spectra fingerprints. J Ethnopharmacol. 2009;124(1):79-86. https://doi.org/10.1016/j.jep.2009.04.006.
Haque MR, Ansari HS. Anti-Obesity Effect of Arq Zeera and Its Main Components Thymol and Cuminaldehyde in High Fat Diet Induced Obese Rats. Drug Res (Stuttg). 2018;68(11):637-647. https://doi.org/10.1055/a-0590-1956.
Pimple BP, Kadam PV, Patil MJ. Comparative antihyperglycaemic and antihyperlipidemic effect of Origanum majorana extracts in NIDDM rats. Orient Pharm Exp Med. 2012;12(1):41-50. https://doi.org/10.1007/s13596-011-0047-x.
Gandomi H, Abbaszadeh S, Jebellijavan A, Sharifzadeh A. chemical constituents, antimicrobial and antioxidative effects of Trachyspermum ammi essential oil. J Food Process Preserv. 2014;38(4):1690-1695. https://doi.org/10.1111/jfpp.12131.
Aifa S, Processes CS. Cumin (Cuminum cyminum L.) from Traditional Uses to Potential Biomedical Applications. Chem Biodivers. 2015;12(5):733-742. https://doi.org/10.1002/cbdv.201400305.
Ranjbaran A, Kavoosi G, Mojallal-Tabatabaei Z, Ardestani SK. The antioxidant activity of Trachyspermum ammi essential oil and thymol in murine macrophages. Biocatal Agric Biotechnol. 2019;20:101220. https://doi.org/10.1016/j.bcab.2019.101220.
Nagoor Meeran MF, Javed H. Taee H Al, Azimullah S, Ojha SK. Pharmacological properties and molecular mechanisms of thymol: Prospects for its therapeutic potential and pharmaceutical development. Front Pharmacol. 2017;8:1-34. https://doi.org/10.3389/fphar.2017.00380.
Oskouei BG, Abbaspour-Ravasjani S, Jamal Musavinejad S, et al. In vivo Evaluation of Anti-Hyperglycemic, Anti-hyperlipidemic and Anti-Oxidant Status of Liver and Kidney of Thymol in STZ-Induced Diabetic Rats. Drug Res (Stuttg). 2019;69(1):46-52. https://doi.org/10.1055/a-0646-3803.
Haque MR, Ansari SH, Najmi AK, Ahmad MA. Monoterpene phenolic compound thymol prevents high fat diet induced obesity in murine model. Toxicol Mech Methods. 2014;24(2):116-123. https://doi.org/10.3109/15376516.2013.861888.
FDA. Guidance for Industry Q2B Validation of Analytical Procedures: Methodology. Vol 20857.; 1996. http://www.fda.gov/cder/guidance/index.htm%5Cnhttp://www.fda.gov/cber/guidelines.htm.
Roshan ARA, Gad HA, El-Ahmady SH, Khanbash MS, Abou-Shoer MI, Al-Azizi MM. Authentication of monofloral yemeni sidr honey using ultraviolet spectroscopy and chemometric analysis. J Agric Food Chem. 2013;61(32):7722-7729. https://doi.org/10.1021/jf402280y.
Mehanny M, Hathout RM, Geneidi AS, Mansour S. Bisdemethoxycurcumin loaded polymeric mixed micelles as potential anti-cancer remedy: Preparation, optimization and cytotoxic evaluation in a HepG-2 cell model. J Mol Liq. 2016;214:162-170. https://doi.org/10.1016/j.molliq.2015.12.007.
Abdel-Hafez SM, Hathout RM, Sammour OA. Tracking the transdermal penetration pathways of optimized curcumin-loaded chitosan nanoparticles via confocal laser scanning microscopy. Int J Biol Macromol. 2018;108:753-764. https://doi.org/10.1016/j.ijbiomac.2017.10.170.
Luis Aleixandre-Tudo J, du Toit W. The Role of UV-Visible Spectroscopy for Phenolic Compounds Quantification in Winemaking. In: Frontiers and New Trends in the Science of Fermented Food and Beverages. IntechOpen; 2019. https://doi.org/10.5772/intechopen.79550.
Mavimbela T, Vermaak I, Chen W, Viljoen A. Phytochemistry Letters Rapid quality control of Sutherlandia frutescens leaf material through the quanti fi cation of SU1 using vibrational spectroscopy in conjunction with chemometric data analysis. Phytochem Lett. 2018;25(February):184-190. https://doi.org/10.1016/j.phytol.2018.03.003.
Santos PM, Pereira-Filho ER, Colnago LA. Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR). Microchem J. 2016;124:15-19. https://doi.org/10.1016/J.MICROC.2015.07.013.
Li Y, Wu T, Zhu J, et al. Combinative method using HPLC fingerprint and quantitative analyses for quality consistency evaluation of an herbal medicinal preparation produced by different manufacturers. J Pharm Biomed Anal. 2010;52(4):597-602. https://doi.org/10.1016/j.jpba.2010.01.018.
Kumar K, Bairi P, Ghosh K, Mishra KK, Mishra AK. Classification of aqueous-based ayurvedic preparations using synchronous fluorescence spectroscopy and chemometric techniques. Curr Sci. 2014;107(3):470-477. https://doi.org/10.18520/cs/v107/i3/470-477.
FDA. Botanical Drug Development Guidance for Industry.; 2016. http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm. Accessed March 26, 2021.
Bansal A, Chhabra V, Rawal RK, Sharma S. Chemometrics: A new scenario in herbal drug standardization. J Pharm Anal. 2014;4(4):223-233. https://doi.org/10.1016/j.jpha.2013.12.001.
Yang B, Wang Y, Shan L, et al. A Novel and Practical Chromatographic “Fingerprint-ROC-SVM” Strategy Applied to Quality Analysis of Traditional Chinese Medicine Injections: Using KuDieZi Injection as a Case Study. Molecules. 2017;22(7):1237. https://doi.org/10.3390/molecules22071237.
Mukherjee PK, Bahadur S, Chaudhary SK. Quality Related Safety Issue-Evidence-Based Validation of Herbal Medicine Farm to Pharma. Elsevier Inc.; 2015. https://doi.org/10.1016/B978-0-12-800874-4.00001-5.
Gad HA, El-Ahmady SH, Abou-Shoer MI, Al-Azizi MM. Application of chemometrics in authentication of herbal medicines: A review. Phytochem Anal. 2013;24(1):1-24. https://doi.org/10.1002/pca.2378.
Wang P, Nie L, Zang H. A Useful Strategy to Evaluate the Quality Consistency of Traditional Chinese Medicines Based on Liquid Chromatography and Chemometrics. J Anal Methods Chem. 2015;2015:1-11. https://doi.org/10.1155/2015/589654.
Chen D, Lin S, Xu W, et al. Qualitative and Quantitative Analysis of the Major Constituents in Shexiang Tongxin Dropping Pill by HPLC-Q-TOF-MS/MS and UPLC-QqQ-MS/MS. Molecules. 2015;20(10):18597-18619. https://doi.org/10.3390/molecules201018597.
Fu J, Li X, Lu H, Liang Y. Analysis of volatile components in herbal pair Semen Persicae-Flos Carthami by GC-MS and chemometric resolution. J Sep Sci. 2012;35(21):2940-2948. https://doi.org/10.1002/jssc.201200376.
Deattu N, Suseela L, Narayanan N. Chromatographic analysis of polyherbal extract and formulation by HPTLC and GC-MS methods. J Pharm Res. 2013;6(1):6-10. https://doi.org/10.1016/j.jopr.2012.11.005.
Sarker SD, Nahar L. Chapter 19 - Applications of High Performance Liquid Chromatography in the Analysis of Herbal Products. In: Mukherjee PKBT-E-BV of HM, ed. Evidence-Based Validation of Herbal Medicine. Elsevier; 2015:405-425 https://doi.org/10.1016/B978-0-12-800874-4.00019-2.
Aboulwafa MM, Youssef FS, Gad HA, et al. Authentication and Discrimination of Green Tea Samples Using UV-Visible, FTIR and HPLC Techniques Coupled with Chemometrics Analysis. J Pharm Biomed Anal. 2019;164:653-658. https://doi.org/10.1016/j.jpba.2018.11.036.
Sun L, Wang M, Ren X, Jiang M, Deng Y. Rapid authentication and differentiation of herbal medicine using 1H NMR fingerprints coupled with chemometrics. J Pharm Biomed Anal. 2018;160:323-329. https://doi.org/10.1016/j.jpba.2018.08.003.
Ni L-J, Zhang L-G, Hou J, Shi W-Z, Guo M-L. A strategy for evaluating antipyretic efficacy of Chinese herbal medicines based on UV spectra fingerprints. J Ethnopharmacol. 2009;124(1):79-86. https://doi.org/10.1016/j.jep.2009.04.006.
Haque MR, Ansari HS. Anti-Obesity Effect of Arq Zeera and Its Main Components Thymol and Cuminaldehyde in High Fat Diet Induced Obese Rats. Drug Res (Stuttg). 2018;68(11):637-647. https://doi.org/10.1055/a-0590-1956.
Pimple BP, Kadam PV, Patil MJ. Comparative antihyperglycaemic and antihyperlipidemic effect of Origanum majorana extracts in NIDDM rats. Orient Pharm Exp Med. 2012;12(1):41-50. https://doi.org/10.1007/s13596-011-0047-x.
Gandomi H, Abbaszadeh S, Jebellijavan A, Sharifzadeh A. chemical constituents, antimicrobial and antioxidative effects of Trachyspermum ammi essential oil. J Food Process Preserv. 2014;38(4):1690-1695. https://doi.org/10.1111/jfpp.12131.
Aifa S, Processes CS. Cumin (Cuminum cyminum L.) from Traditional Uses to Potential Biomedical Applications. Chem Biodivers. 2015;12(5):733-742. https://doi.org/10.1002/cbdv.201400305.
Ranjbaran A, Kavoosi G, Mojallal-Tabatabaei Z, Ardestani SK. The antioxidant activity of Trachyspermum ammi essential oil and thymol in murine macrophages. Biocatal Agric Biotechnol. 2019;20:101220. https://doi.org/10.1016/j.bcab.2019.101220.
Nagoor Meeran MF, Javed H. Taee H Al, Azimullah S, Ojha SK. Pharmacological properties and molecular mechanisms of thymol: Prospects for its therapeutic potential and pharmaceutical development. Front Pharmacol. 2017;8:1-34. https://doi.org/10.3389/fphar.2017.00380.
Oskouei BG, Abbaspour-Ravasjani S, Jamal Musavinejad S, et al. In vivo Evaluation of Anti-Hyperglycemic, Anti-hyperlipidemic and Anti-Oxidant Status of Liver and Kidney of Thymol in STZ-Induced Diabetic Rats. Drug Res (Stuttg). 2019;69(1):46-52. https://doi.org/10.1055/a-0646-3803.
Haque MR, Ansari SH, Najmi AK, Ahmad MA. Monoterpene phenolic compound thymol prevents high fat diet induced obesity in murine model. Toxicol Mech Methods. 2014;24(2):116-123. https://doi.org/10.3109/15376516.2013.861888.
FDA. Guidance for Industry Q2B Validation of Analytical Procedures: Methodology. Vol 20857.; 1996. http://www.fda.gov/cder/guidance/index.htm%5Cnhttp://www.fda.gov/cber/guidelines.htm.
Roshan ARA, Gad HA, El-Ahmady SH, Khanbash MS, Abou-Shoer MI, Al-Azizi MM. Authentication of monofloral yemeni sidr honey using ultraviolet spectroscopy and chemometric analysis. J Agric Food Chem. 2013;61(32):7722-7729. https://doi.org/10.1021/jf402280y.
Mehanny M, Hathout RM, Geneidi AS, Mansour S. Bisdemethoxycurcumin loaded polymeric mixed micelles as potential anti-cancer remedy: Preparation, optimization and cytotoxic evaluation in a HepG-2 cell model. J Mol Liq. 2016;214:162-170. https://doi.org/10.1016/j.molliq.2015.12.007.
Abdel-Hafez SM, Hathout RM, Sammour OA. Tracking the transdermal penetration pathways of optimized curcumin-loaded chitosan nanoparticles via confocal laser scanning microscopy. Int J Biol Macromol. 2018;108:753-764. https://doi.org/10.1016/j.ijbiomac.2017.10.170.
Luis Aleixandre-Tudo J, du Toit W. The Role of UV-Visible Spectroscopy for Phenolic Compounds Quantification in Winemaking. In: Frontiers and New Trends in the Science of Fermented Food and Beverages. IntechOpen; 2019. https://doi.org/10.5772/intechopen.79550.
Mavimbela T, Vermaak I, Chen W, Viljoen A. Phytochemistry Letters Rapid quality control of Sutherlandia frutescens leaf material through the quanti fi cation of SU1 using vibrational spectroscopy in conjunction with chemometric data analysis. Phytochem Lett. 2018;25(February):184-190. https://doi.org/10.1016/j.phytol.2018.03.003.
Santos PM, Pereira-Filho ER, Colnago LA. Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR). Microchem J. 2016;124:15-19. https://doi.org/10.1016/J.MICROC.2015.07.013.
Contributed Indexing:
Keywords: HPLC; UV spectroscopy; fingerprint; multivariate analysis; polyherbal
Entry Date(s):
Date Created: 20211028 Date Completed: 20220303 Latest Revision: 20220303
Update Code:
20250114
DOI:
10.1002/pca.3089
PMID:
34708476
Database:
MEDLINE
Weitere Informationen
Introduction: Traditional herbal medicines are mostly composed of more than one herb which act synergistically; hence, there is high demand for proper quality control methods to ensure the consistent quality of polyherbal formulations.
Aims: Proposing a simple, reliable, and efficient method for the qualitative and quantitative analysis of a polyherbal product using multivariate analysis of ultraviolet-visible (UV-Vis) spectroscopy or HPLC-PDA data.
Methodology: An antiobesity formula consisting of equal proportions of Trachyspermum ammi, Cuminum cyminum, and Origanum majorana was prepared as well as spiked with one of each herb simultaneously, representing accepted and unaccepted samples. Full factorial design (2 <sup>k</sup> ) was applied to study the effect of temperature, sonication, and stirring time for extraction optimisation. The HPLC and UV spectral fingerprints were separately subjected to multivariate analysis. The soft independent modelling of class analogy (SIMCA) and partial least squares (PLS) models were developed to segregate the accepted from the unaccepted samples and to predict the herbal composition in addition to the thymol content in each sample.
Results: The SIMCA <sup>uv</sup> and SIMCA <sup>hplc</sup> models showed correct discrimination between the accepted and unaccepted samples with excellent selectivity and sensitivity. The PLS <sup>uv</sup> , PLS <sup>hplc</sup> , and PLS <sup>thym</sup> models showed excellent linearity and accuracy with R <sup>2</sup> > 0.98, slope close to 1, intercept close to 0, low root mean square error of calibration (RMSEC), and root mean square error of prediction (RMSEP) (close to 0). On validation, the PLS models correctly predicted the quantity of the three herbs and thymol content with ±5% accuracy.
Conclusion: This study demonstrates the reliability and efficiency of HPLC and UV spectroscopy coupled with multivariate statistical analysis (MVA) for ensuring the consistency of polyherbal preparations.
(© 2021 John Wiley & Sons, Ltd.)