Publication type: | Conference poster |
Type of review: | Peer review (abstract) |
Title: | HPTLC fingerprint method for the detection of sennosides in Senna dry extracts |
Authors: | Meier, Nadja Meier, Beat Peter, Samuel Wolfram, Evelyn |
DOI: | 10.1055/s-0037-1608524 |
Published in: | Planta Medica International Open |
Volume(Issue): | 4 |
Conference details: | 65th International Congress and Annual Meeting of the Society for Medicinal Plant and Natural Product Research (GA 2017), Basel, 3-6 September 2017 |
Issue Date: | 24-Oct-2017 |
Publisher / Ed. Institution: | Thieme |
ISSN: | 2509-6656 |
Language: | English |
Subject (DDC): | 615: Pharmacology and therapeutics 660.6: Biotechnology |
Abstract: | In 2015 a new HPTLC method was proposed as part of the revision of the herbal drug monographs in the European Pharmacopeia Ph.Eur. of senna leafs and pods [1]. However, the proposed method was unspecific for the active constituents and showed difficulties with the repeatability in several laboratories. Therefore, alternative methods for fingerprinting were tested. The focus has been based on a fingerprint showing the active compounds which are mainly sennoside A and B and this in a fast and simple method. The mobile phase used for senna folium in the pharmacopoeia of the people's republic of China in combination with potassium hydroxide reagent showed the best result in the separation and characteristic visualization of the sennosides. The sennosides show u-shaped zones which broaden with increasing application amount. The addition of acid to the mobile phase was tested but showed no improvement. The zones are under control by the applied amount. The sennosides A and D (zones [d]) are suitable as system suitability test for the method. However, sennosides D is not easily obtainable as reference substance; therefore, a senna dry extract CRS was used as cost-effective alternative. The chromatograms of senna leafs and fruits are comparable to the ones of the senna dry extracts shown. [1] EDQM. Draft for the revision of the monographs Senna leaf (0206), Senna pods, Alexandrian (0207) and Tinnevelly (0208) – PA/PH/Exp. 13A/T (15) 19 – 21 ANP. Pharmeuropa 27.3, 169 – 186 (2015). |
URI: | https://digitalcollection.zhaw.ch/handle/11475/1965 |
Fulltext version: | Published version |
License (according to publishing contract): | Licence according to publishing contract |
Departement: | Life Sciences and Facility Management |
Organisational Unit: | Institute of Chemistry and Biotechnology (ICBT) |
Appears in collections: | Publikationen Life Sciences und Facility Management |
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Meier, N., Meier, B., Peter, S., & Wolfram, E. (2017). HPTLC fingerprint method for the detection of sennosides in Senna dry extracts [Conference poster]. Planta Medica International Open, 4. https://doi.org/10.1055/s-0037-1608524
Meier, N. et al. (2017) ‘HPTLC fingerprint method for the detection of sennosides in Senna dry extracts’, in Planta Medica International Open. Thieme. Available at: https://doi.org/10.1055/s-0037-1608524.
N. Meier, B. Meier, S. Peter, and E. Wolfram, “HPTLC fingerprint method for the detection of sennosides in Senna dry extracts,” in Planta Medica International Open, Oct. 2017, vol. 4. doi: 10.1055/s-0037-1608524.
MEIER, Nadja, Beat MEIER, Samuel PETER und Evelyn WOLFRAM, 2017. HPTLC fingerprint method for the detection of sennosides in Senna dry extracts. In: Planta Medica International Open. Conference poster. Thieme. 24 Oktober 2017
Meier, Nadja, Beat Meier, Samuel Peter, and Evelyn Wolfram. 2017. “HPTLC Fingerprint Method for the Detection of Sennosides in Senna Dry Extracts.” Conference poster. In Planta Medica International Open. Vol. 4. Thieme. https://doi.org/10.1055/s-0037-1608524.
Meier, Nadja, et al. “HPTLC Fingerprint Method for the Detection of Sennosides in Senna Dry Extracts.” Planta Medica International Open, vol. 4, Thieme, 2017, https://doi.org/10.1055/s-0037-1608524.
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