| Title |
Modification of polydopamine-coated Fe3O4 nanoparticles with multi-walled carbon nanotubes for magnetic-μ-dispersive solid-phase extraction of antiepileptic drugs in biological matrices
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, April 2018
|
| DOI | 10.1007/s00216-018-1047-1 |
| Pubmed ID | |
| Authors |
Ruiqi Zhang, Siming Wang, Ye Yang, Yulan Deng, Di Li, Ping Su, Yi Yang |
| Abstract |
In this study, multi-walled carbon nanotubes were coated on the surface of magnetic nanoparticles modified by polydopamine. The synthesized composite was characterized and applied to magnetic-μ-dispersive solid-phase extraction of oxcarbazepine (OXC), phenytoin (PHT), and carbamazepine (CBZ) from human plasma, urine, and cerebrospinal fluid samples prior to analysis by a high-performance liquid chromatography-photodiode array detector. The extraction parameters were investigated and the optimum condition was obtained when the variables were set to the following: sorbent type, Fe3O4@polyDA-MWCNTs (length < 2 μm); sample pH, 6; amount of sorbent, 15 mg; sorption time, 1.5 min at room temperature; type and volume of the eluent, 2.5 mL methanol; and salt content, none added. Under the optimized conditions, the calibration curves are linear in the concentration range 2-2000 ng/mL, the limits of detection are in the range 0.4-3.1 ng/mL, and the relative standard deviations and relative recoveries of plasma (spiked at 200 ng/mL) and CSF (spiked at 50 ng/mL) are in the ranges 1.4-8.2% and 92.8-96.5%, respectively. The applicability of the method was successfully confirmed by extraction and determination of OXC, PHT, and CBZ in biological matrices. Graphical abstract Magnetic multi-walled carbon nanotube core-shell composites were applied as magnetic-μ-dispersive solid-phase extraction adsorbents for determination of antiepileptic drugs in biological matrices. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Student > Bachelor | 3 | 9% |
| Researcher | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Chemical Engineering | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 21 | 60% |
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 25 May 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,602
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Outputs of similar age
#253,251
of 324,262 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#116
of 174 outputs
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