Loading...
Please wait, while we are loading the content...
Similar Documents
Simultaneous determination of opioid drugs in urine with high-performance liquid chromatography–ultraviolet after supramolecular based magnetic NP solid-phase extraction
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zabardasti, Abedien Afrouzi, Hossein Kakanejadifard, Ali Amoli-Diva, Mitra |
| Copyright Year | 2017 |
| Abstract | A simple and rapid extraction/preconcentration procedure using supramolecular based magnetic nanoparticle (MNP) solid-phase extraction method by sodium dodecyl sulphate (SDS)-coated MNPs has been developed for both removal and preconcentration of three important opioid drugs named morphine, codeine and methadone before their high-performance liquid chromatography–ultraviolet determination. To get insight configuration of SDS molecules on the surface of the MNPs, zeta potential measurements were performed in different SDS (mg)/mg of MNPs ratios. Parameters affecting the extraction and preconcentration efficiency of the opioids were optimised as recovery by one variable at-a-time methodology and the obtained recoveries were 91, 94 and 98% for morphine, codeine and methadone, respectively. Under optimum conditions (such as pH = 3.5; adsorbent amount = 60 mg; eluent solvent volume = 2 ml of acetonitrile, sample volume = 200 ml etc.), the method was linear in the range of 1–200 ng ml−1 with enrichment factors (EFs) of 91, 94 and 98 for morphine, codeine and methadone, respectively, and the limits of detection were <0.27 ng ml−1. Finally, the proposed method was successfully applied for both removal and trace determination of the targeted drugs in urine samples. |
| Starting Page | 182 |
| Ending Page | 186 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.1049/mnl.2016.0603 |
| Alternate Webpage(s) | http://lu.ac.ir/usersfiles/576806.4215360.6459061.84373.pdf |
| Alternate Webpage(s) | https://doi.org/10.1049/mnl.2016.0603 |
| Volume Number | 12 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |