Analytical methods for the quality control of combinatorial libraries

Angelicae Pubescentis Radix (AP), as a traditional Chinese medicine (TCM), has been used for thousands of years in China. In this paper, the botany, traditional use, phytochemistry, analytical methods, quality control, pharmacological effects, and toxicity of AP were reviewed. It can provide a reference for the further research and lay a foundation for the rational clinical application of AP. The relevant information on AP was collected from scientific databases (such as Baidu Scholar, CNKI, Google Scholar, PubMed, Science Direct, Web of Science, and SciFinder Scholar), Chinese herbal classics, Chinese Pharmacopoeia, PhD and MSc dissertations, and so on. The components which have been isolated and identified in AP include coumarins, volatile oils, organic acids, terpenes, polysaccharides, flavonoids, sterols, and trace elements. Most of them were analyzed by HPLC and GC. A pharmacological study shows that the AP has extensive pharmacological effects, including anti-inflammatory, antirheumatism, sedative and hypnotic, neuroprotection, antioxidation, antitumor, and allergy, and it is widely used in the treatment of the rheumatoid arthritis, knee osteoarthritis, lumbar disc, ankylosing spondylitis, headaches, stroke hemiplegia, Alzheimer’s, and arrhythmia. AP is a valuable natural medicinal plant. So far, significant advances have been made in phytochemistry and pharmacology. Some traditional uses have been demonstrated by modern pharmacology. However, the chemical components and pharmacological effects of AP are complex and varied, and there are different standards for the evaluation of its quality and efficacy. The mechanism of action, the structure-activity relationship among the components, and the potential synergistic and antagonistic effects remain to be studied. At the same time, there are few studies on the specific compounds related to its pharmacodynamics. In order to better develop and utilize AP, we should establish a more reasonable, reliable, and accurate quality control standard and focus on the study of bioactive constituents and the demonstration of their mechanism of action.

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Analytical methods for the characterization and quality control of pharmaceutical peptides and proteins, using erythropoietin as an example

Pharmaceutica Acta Helvetiae ◽

10.1016/s0031-6865(96)00048-9 ◽

1996 ◽

Vol 71 (6) ◽

pp. 383-394 ◽

Cited By ~ 14

Author(s):

David Gilg ◽

Bettina Riedl ◽

Andreas Zier ◽

Matthias F. Zimmermann

Keyword(s):

Quality Control ◽

Analytical Methods

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Comparison of analytical methods for the quality control of a new formulation containing soy extract and melatonin

Journal of Separation Science ◽

10.1002/jssc.200700595 ◽

2008 ◽

Vol 31 (10) ◽

pp. 1851-1859 ◽

Cited By ~ 10

Author(s):

Maria Addolorata Saracino ◽

Laura Mercolini ◽

Alessandro Musenga ◽

Francesca Bugamelli ◽

Maria Augusta Raggi

Keyword(s):

Quality Control ◽

Analytical Methods ◽

New Formulation ◽

Comparison Of Analytical Methods

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Goji Berry: Quality Assessment and Crop Adaptation of Plants Cultivated in Tuscany (Italy) by Combination of Carotenoid and DNA Analyses

Natural Product Communications ◽

10.1177/1934578x1501000660 ◽

2015 ◽

Vol 10 (6) ◽

pp. 1934578X1501000 ◽

Cited By ~ 1

Author(s):

Giada Capecchi ◽

Emanuele Goti ◽

Elena Nicolai ◽

Maria Camilla Bergonzi ◽

Roberto Monnanni ◽

...

Keyword(s):

Quality Control ◽

Dna Barcoding ◽

Analytical Methods ◽

Hplc Analysis ◽

European Pharmacopoeia ◽

Plant Adaptation ◽

Dna Analyses ◽

Berry Quality ◽

Quality Markers ◽

Crucial Information

In this study HPLC analysis for the evaluation of carotenoids and DNA barcoding are reported for three different samples of Lycium cultivated in Tuscany (Italy). These two analytical methods can represent integrative methods for quality control of goji, giving also crucial information on the plant adaptation to different environments. Hence, carotenoids represent the quality markers proposed by the monograph of the European Pharmacopoeia, while DNA barcoding can differentiate between species and populations and is useful for the detection of the homogeneity of the samples.

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