Paeonia officinalis, paeony

Tobyn, Graeme

doi:10.1016/b978-0-443-10344-5.00028-8

Cited by 3 publications

(4 citation statements)

References 22 publications

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“…2(c). PGs are firstly separated from PS, and many studies claim that PGs are not found in PL (Tobyn et al ., 2011). MALDI MSI results are consistent with these previous studies, and PGs were observed only in PS (e.g.…”

Section: Resultsmentioning

confidence: 99%

Unveiling spatial metabolome of Paeonia suffruticosa and Paeonia lactiflora roots using MALDI MS imaging

Liu

et al. 2021

New Phytologist

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Paeonia suffruticosa (PS) and Paeonia lactiflora (PL) belong to the only genus in the family Paeoniaceae. Comparative analysis of the spatial metabolomes of PS and PL has rarely been performed.In this work, combined with multiple matrixes and dual-polarity detection, high mass resolution matrix-assisted laser desorption/ionization MS imaging (MALDI MSI) and MALDI tandem MSI were performed on the root sections of the two Paeonia species.The spatial distributions of many metabolites including monoterpene and paeonol glycosides, tannins, flavonoids, saccharides and lipids were systematically characterized. The ambiguous tissue distribution of the two isomers paeoniflorin and albiflorin were distinguished by tandem MSI using lithium salt doped 2,5-dihydroxybenzoate matrix. In addition, the major intermediates involved in the biosynthetic pathway of gallotannins were successfully localized and visualized in the root sections.High-mass resolution MALDI full-scan MSI provides comprehensive and accurate spatial distribution of metabolites. The analytical power of the technique was further tested in the tandem MSI of two isomers. The ion images of individual metabolites provide chemical and microscopic characteristics beyond morphological identification, and the detailed spatiochemical information could not only improve our understanding of the biosynthetic pathway of hydrolyzable tannins, but also ensure the safety and effectiveness of their medicinal use.

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Section: Resultsmentioning

confidence: 99%

Unveiling spatial metabolome of Paeonia suffruticosa and Paeonia lactiflora roots using MALDI MS imaging

Liu

et al. 2021

New Phytologist

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“…Furthermore, HPTLC meets challenges when comparing a number of botanicals from different source materials and unilateral standardization of methods for TCM preparations is difficult. This is because concentrations for chemical marker compounds can be different for botanical materials of varying origin and natural fluctuations in chemical compounds can occur for different growth cycles, eco-regions, and times of the year ( Yamamoto, 1988 ; Tobyn et al, 2011 ). Besides, TCM ingredients can originate from varying accepted plant species, whilst the standard identification method in the pharmacopeia remains the same for either species ( Mück et al, 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Three-tiered authentication of herbal traditional Chinese medicine ingredients used in women’s health provides progressive qualitative and quantitative insight

Mück,

Scotti,

Mauvisseau

et al. 2024

Front. Pharmacol.

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Traditional Chinese Medicine (TCM) herbal products are increasingly used in Europe, but prevalent authentication methods have significant gaps in detection. In this study, three authentication methods were tested in a tiered approach to improve accuracy on a collection of 51 TCM plant ingredients obtained on the European market. We show the relative performance of conventional barcoding, metabarcoding and standardized chromatographic profiling for TCM ingredients used in one of the most diagnosed disease patterns in women, endometriosis. DNA barcoding using marker ITS2 and chromatographic profiling are methods of choice reported by regulatory authorities and relevant national pharmacopeias. HPTLC was shown to be a valuable authentication tool, combined with metabarcoding, which gives an increased resolution on species diversity, despite dealing with highly processed herbal ingredients. Conventional DNA barcoding as a recommended method was shown to be an insufficient tool for authentication of these samples, while DNA metabarcoding yields an insight into biological contaminants. We conclude that a tiered identification strategy can provide progressive qualitative and quantitative insight in an integrative approach for quality control of processed herbal ingredients.

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“…Besides, concentrations for chemical marker compounds can vary for botanical materials of varying origins amongst different plant ingredients and amongst the same ingredients, as well. For instance, paeonol is represented in lower concentrations with 0.9%–2.2% in ingredient Moutan Cortex ( He et al, 2006 ; Tobyn et al, 2011 ), which is plant species Paeonia suffruticosa Andrews , than, for example paeoniflorin with 4.6%–5.1% in ingredient Paeoniae Radix Rubra, which can be plant species Paeonia anomala subsp. veitchii (Lynch) D.Y.Hong & K.Y.Pan or Paeonia lactiflora Pall.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, paeonol is represented in lower concentrations with 0. 9%-2.2% in ingredient Moutan Cortex (He et al, 2006;Tobyn et al, 2011), which is plant species Paeonia suffruticosa Andrews, than, for example paeoniflorin with 4.6%-5.1% in ingredient Paeoniae Radix Rubra, which can be plant species Paeonia anomala subsp. veitchii (Lynch) D.Y.Hong & K.Y.Pan or Paeonia lactiflora Pall.…”

Section: Discussionmentioning

confidence: 99%

Complementary authentication of Chinese herbal products to treat endometriosis using DNA metabarcoding and HPTLC shows a high level of variability

Mück,

Scotti,

Mauvisseau

et al. 2023

Front. Pharmacol.

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Traditional Chinese Medicine (TCM) is popular for the treatment of endometriosis, a complex gynecological disease that affects 10% of women globally. The growing market for TCMs has yielded a significant incentive for product adulteration, and although emerging technologies show promise to improve their quality control, many challenges remain. We tested the authenticity of two traditional Chinese herbal formulae used in women’s healthcare for the treatment of endometriosis, known as Gui Zhi Fu Ling Wan (FL) and Ge Xia Zhu Yu Tang (GX). Dual-locus DNA metabarcoding analysis coupled with high-performance thin-layer chromatography (HPTLC) were used to authenticate 19 FL and six GX commercial herbal products, as well as three ad hoc prepared artificial mixtures. HPTLC was able to detect most of the expected ingredients via comparative component analysis. DNA metabarcoding was able to detect an unexpected species diversity in the products, including 38 unexpected taxa. Chromatography has a resolution for all species indirectly through the identification of marker compounds for the different species ingredients. Metabarcoding on the other hand yields an overview of species diversity in each sample, but interpretation of the results can be challenging. Detected species might not be present in quantities that matter, and without validated quantification, some detected species can be hard to interpret. Comparative analysis of the two analytical approaches also reveals that DNA for species might be absent or too fragmented to amplify as the relevant chemical marker compounds can be detected but no amplicons are assigned to the same species. Our study emphasizes that integrating DNA metabarcoding with phytochemical analysis brings valuable data for the comprehensive authentication of Traditional Chinese Medicines ensuring their quality and safe use.

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Paeonia officinalis, paeony

Cited by 3 publications

References 22 publications

Unveiling spatial metabolome of Paeonia suffruticosa and Paeonia lactiflora roots using MALDI MS imaging

Unveiling spatial metabolome of Paeonia suffruticosa and Paeonia lactiflora roots using MALDI MS imaging

Three-tiered authentication of herbal traditional Chinese medicine ingredients used in women’s health provides progressive qualitative and quantitative insight

Complementary authentication of Chinese herbal products to treat endometriosis using DNA metabarcoding and HPTLC shows a high level of variability

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