Marian Bittner1, Regina Schenk2, Andreas Springer3, Matthias F Melzig4. 1. Institute of Pharmacy, Freie Universität Berlin, Königin-Luise-Str. 2+4, 14195, Berlin, Germany. 2. Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften, Humboldt-Universität zu Berlin, Albrecht-Thaer-Weg 5, 14195, Berlin, Germany. 3. Institute of Chemistry and Biochemistry, Core Facility BioSupraMol, Freie Universität Berlin, Takustr. 3, 14195, Berlin, Germany. 4. Institute of Pharmacy, Freie Universität Berlin, Königin-Luise-Str. 2+4, 14195, Berlin, Germany. melzig@zedat.fu-berlin.de.
Abstract
INTRODUCTION: The medicinal plant Actaea racemosa L. (Ranunculaceae, aka black cohosh) is widely used to treat climacteric complaints as an alternative to hormone substitution. Recent trials prove efficacy and safety of the approved herbal medicinal products from extracts of pharmaceutical quality. This led to worldwide increasing sales. A higher demand for the plant material results in problems with economically motivated adulteration. Thus, reliable tools for herbal drug authentication are necessary. OBJECTIVE: To develop an economical, plain, and rapid method to distinguish between closely related American and Asian Actaea species, using securely established and resilient analytical methods coupled to a chemometric evaluation of the resulting data. METHODOLOGY: We developed and validated a RP-PDA-HPLC method including an extraction by ultra-sonication to determine the genuine contents of partly hydrolysis-sensitive polyphenols in Actaea racemosa roots and rhizomes, and applied it to a large number of 203 Actaea samples consisting of seven species. RESULTS: We were able to generate reliable data with regards to the polyphenolic esters in the samples. The evaluation of this data by principle component analysis (PCA) made a discrimination between Asian Actaea species (sheng ma), one American Actaea species (Appalachian bugbane), and A. racemosa possible. CONCLUSION: The developed RP-PDA-HPLC method coupled to PCA is an excellent tool for authentication of the Actaea racemosa herbal drug, and can be a powerful addition to the TLC methods used in the dedicated pharmacopoeias, and is a promising alternative to expensive and lots of expertise requiring methods.
INTRODUCTION: The medicinal plant Actaea racemosa L. (Ranunculaceae, aka black cohosh) is widely used to treat climacteric complaints as an alternative to hormone substitution. Recent trials prove efficacy and safety of the approved herbal medicinal products from extracts of pharmaceutical quality. This led to worldwide increasing sales. A higher demand for the plant material results in problems with economically motivated adulteration. Thus, reliable tools for herbal drug authentication are necessary. OBJECTIVE: To develop an economical, plain, and rapid method to distinguish between closely related American and Asian Actaea species, using securely established and resilient analytical methods coupled to a chemometric evaluation of the resulting data. METHODOLOGY: We developed and validated a RP-PDA-HPLC method including an extraction by ultra-sonication to determine the genuine contents of partly hydrolysis-sensitive polyphenols in Actaea racemosa roots and rhizomes, and applied it to a large number of 203 Actaea samples consisting of seven species. RESULTS: We were able to generate reliable data with regards to the polyphenolic esters in the samples. The evaluation of this data by principle component analysis (PCA) made a discrimination between Asian Actaea species (sheng ma), one American Actaea species (Appalachian bugbane), and A. racemosa possible. CONCLUSION: The developed RP-PDA-HPLC method coupled to PCA is an excellent tool for authentication of the Actaea racemosa herbal drug, and can be a powerful addition to the TLC methods used in the dedicated pharmacopoeias, and is a promising alternative to expensive and lots of expertise requiring methods.
Authors: Kristen R Ryan; Madelyn C Huang; Stephen S Ferguson; Suramya Waidyanatha; Sreenivasa Ramaiahgari; Julie R Rice; Paul E Dunlap; Scott S Auerbach; Esra Mutlu; Tim Cristy; Jessica Peirfelice; Michael J DeVito; Stephanie L Smith-Roe; Cynthia V Rider Journal: Toxicol Sci Date: 2019-12-01 Impact factor: 4.849