| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| Unknown | 14 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| 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% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 25% |
| 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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2016.
All research outputs
#22,945,287
of 25,584,565 outputs
Outputs from Drug Design, Development and Therapy
#1,753
of 2,271 outputs
Outputs of similar age
#339,747
of 381,673 outputs
Outputs of similar age from Drug Design, Development and Therapy
#49
of 76 outputs
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So far Altmetric has tracked 2,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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