| Title |
Development and Optimization of an Ex Vivo Colloidal Stability Model for Nanoformulations
|
|---|---|
| Published in |
AAPS PharmSciTech, August 2016
|
| DOI | 10.1208/s12249-016-0597-9 |
| Pubmed ID | |
| Authors |
Muhammad Vaseem Shaikh, Manika Kala, Manish Nivsarkar |
| Abstract |
Nanotechnology is having a significant impact in the drug delivery systems and diagnostic devices. As most of the nanosystems are intended to be administered in vivo, there is a need for stability models, which could simulate the biological environment. Instability issues could lead to particle aggregation and in turn could affect the release of the drug from the nanosystems and even lead to clogging of the systemic blood circulation leading to life-threatening situation. We have developed an ex vivo colloidal stability model for testing the stability of nanosystems over a period of 48 h, which is the typical residence time of the nanoparticles in vivo. Tissue homogenates of rat spleen, brain, kidney, and liver were stabilized and optimized for the study; additionally, plasma and serum were used for the same. Poly (lactide-co-glycolic acid) nanoparticles were used as model nanosystem, and no significant change was found in the size and polydispersity index of the nanoparticles in the biological solutions. Moreover, no change in morphology was observed after 48 h as observed by TEM microscopy. Hence, the developed model could prevent the failure of the developed nanosystem during clinical and preclinical application by serving as an initial checkpoint to study their interaction with the complex milieu. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Student > Doctoral Student | 3 | 21% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 36% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Chemical Engineering | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Materials Science | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |
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
#20,337,210
of 22,882,389 outputs
Outputs from AAPS PharmSciTech
#1,332
of 1,468 outputs
Outputs of similar age
#321,207
of 366,370 outputs
Outputs of similar age from AAPS PharmSciTech
#41
of 43 outputs
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