Title |
Quantification of simvastatin in mice plasma by near-infrared and chemometric analysis of spectral data
|
---|---|
Published in |
Drug Design, Development and Therapy, August 2016
|
DOI | 10.2147/dddt.s114826 |
Pubmed ID | |
Authors |
Usama A Fahmy |
Abstract |
Time and cost saving is an essential requirement in pharmacokinetics and bioequivalence studies. The aim of this study is to use a simple, fast, and nondestructive near-infrared transmission spectroscopic method to quantify simvastatin (SMV) concentrations in mice plasma and also to improve SMV bioavailability by using alpha-lipoic acid as a carrier. Calibration curve was built at a concentration range of 10-250 ng/mL, and HPLC method was considered as a reference method. A partial least squares regression analysis model was used for method development, which gave less root mean square error cross-validation. Comparison of SMV concentrations obtained from both instruments showed no statistically significant differences between all the data. Near-infrared spectroscopy was utilized as a rapid, simple accurate method to quantify drug-plasma concentrations without need for any extraction protocols, and the significant effect of alpha-lipoic acid as a novel carrier to enhance SMV bioavailability is also addressed. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 1 | 6% |
Saudi Arabia | 1 | 6% |
Unknown | 14 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 25% |
Student > Ph. D. Student | 2 | 13% |
Student > Postgraduate | 2 | 13% |
Professor > Associate Professor | 2 | 13% |
Student > Master | 1 | 6% |
Other | 3 | 19% |
Unknown | 2 | 13% |
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Chemistry | 2 | 13% |
Medicine and Dentistry | 2 | 13% |
Business, Management and Accounting | 1 | 6% |
Veterinary Science and Veterinary Medicine | 1 | 6% |
Other | 2 | 13% |
Unknown | 4 | 25% |