2023
DOI: 10.3389/fphar.2023.1305410
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Complementary authentication of Chinese herbal products to treat endometriosis using DNA metabarcoding and HPTLC shows a high level of variability

Felicitas Mück,
Francesca Scotti,
Quentin Mauvisseau
et al.

Abstract: 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) an… Show more

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Cited by 2 publications
(12 citation statements)
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“…Each band in the fingerprints was given a score from zero to five, based on the intensity perceived by the naked eye, compared to the standard, where zero is “not detectable”, and five is the highest intensity. BISs with scales 0-5 refer to the quality of the ingredients’ entire fingerprint with respect to the visibility and positions of bands for the pharmacopoeial reference marker compounds and botanical references in each chromatogram ( Mück et al, 2023 ).…”
Section: Methodsmentioning
confidence: 99%
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“…Each band in the fingerprints was given a score from zero to five, based on the intensity perceived by the naked eye, compared to the standard, where zero is “not detectable”, and five is the highest intensity. BISs with scales 0-5 refer to the quality of the ingredients’ entire fingerprint with respect to the visibility and positions of bands for the pharmacopoeial reference marker compounds and botanical references in each chromatogram ( Mück et al, 2023 ).…”
Section: Methodsmentioning
confidence: 99%
“…DNA extraction, PCR, normalization and pooling of amplicons, such as library preparation and sequencing was conducted according to Mück et al (2023) . The samples were sequenced and analyzed alongside the sample set presented in Mück et al (2023) .…”
Section: Methodsmentioning
confidence: 99%
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