Statistical Evaluation of the Results Obtained with the Analytical Methods used for the Quality Control of Medicines

1987 ◽  
Vol 13 (14) ◽  
pp. 2571-2615 ◽  
Author(s):  
Luigi Cavenaghi ◽  
Gian Gualberto Gallo ◽  
Gian Marco Leali ◽  
Silvano Vianello
2020 ◽  
Vol 2020 ◽  
pp. 1-28
Author(s):  
Liu Yang ◽  
Ajiao Hou ◽  
Song Wang ◽  
Jiaxu Zhang ◽  
Wenjing Man ◽  
...  

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.


2008 ◽  
Vol 31 (10) ◽  
pp. 1851-1859 ◽  
Author(s):  
Maria Addolorata Saracino ◽  
Laura Mercolini ◽  
Alessandro Musenga ◽  
Francesca Bugamelli ◽  
Maria Augusta Raggi

2015 ◽  
Vol 10 (6) ◽  
pp. 1934578X1501000 ◽  
Author(s):  
Giada Capecchi ◽  
Emanuele Goti ◽  
Elena Nicolai ◽  
Maria Camilla Bergonzi ◽  
Roberto Monnanni ◽  
...  

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.


1994 ◽  
Vol 12 (8) ◽  
pp. 711-724 ◽  
Author(s):  
P. A. Miller ◽  
M. F. Barth ◽  
D. W. van de Kamp ◽  
T. W. Schlatter ◽  
B. L. Weber ◽  
...  

Abstract. The National Oceanic and Atmospheric Administration (NOAA) has completed the installation of a 30-site demonstration network of wind-profiling radars in the central United States. The network is being used to demonstrate and assess the utility of wind profiler technology in a quasi-operational environment, and to help define operational requirements for possible future national networks. This paper describes two automated quality control methods designed to remove erroneous winds from the hourly network data. Case study examples and statistical evaluation of the performance of each method are also presented.


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