Title |
Carbon nanotube-modified monolithic polymethacrylate pipette tips for (micro)solid-phase extraction of antidepressants from urine samples
|
---|---|
Published in |
Microchimica Acta, January 2018
|
DOI | 10.1007/s00604-017-2659-4 |
Pubmed ID | |
Authors |
Beatriz Fresco-Cala, Óscar Mompó-Roselló, Ernesto F. Simó-Alfonso, Soledad Cárdenas, José Manuel Herrero-Martínez |
Abstract |
This work evaluates the potential of methacrylate monoliths with multi-walled carbon nanotubes incorporated into the polymeric network for the extraction of antidepressants from human urine. The method is based on a micropipette solid-phase extraction tip containing a hybrid monolithic material covalently attached to the polypropylene housing. A polymer layer made from poly(ethylene dimethacrylate) was bound to the inner surface of a polypropylene tip via UV grafting. The preparation of the monolith and the microextraction steps were optimized in terms of adsorption capacity. Limits of detection ranged from 9 to 15 μg·L-1. The average precision of the method varied between 3 and 5% (intra-tips), and from 4 to 14% (inter-tips). The accuracy of the method was evaluated through a recovery study by using spiked samples. Graphical abstract Hybrid polymer monoliths containing multi-walled carbon nanotubes (MWCNTs) were prepared in pipette tips by photo-polymerization approach. The extraction devices were used for the extraction of antidepressants in urine samples. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 70 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 17% |
Researcher | 9 | 13% |
Student > Ph. D. Student | 6 | 9% |
Professor > Associate Professor | 4 | 6% |
Student > Doctoral Student | 4 | 6% |
Other | 12 | 17% |
Unknown | 23 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 26 | 37% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Medicine and Dentistry | 2 | 3% |
Environmental Science | 1 | 1% |
Other | 4 | 6% |
Unknown | 32 | 46% |