A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants
| Autor: | Petra S. Dittrich, Noe Tscharner, Laurent Barbe, Sarah Heub, Florian Kehl, Stephane Follonier |
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| Rok vydání: | 2016 |
| Předmět: |
Sorbent
General Chemical Engineering Enzyme-Linked Immunosorbent Assay 02 engineering and technology Endocrine Disruptors 01 natural sciences General Biochemistry Genetics and Molecular Biology chemistry.chemical_compound Column chromatography Sample preparation Seawater Solid phase extraction Organic Chemicals Chromatography General Immunology and Microbiology Estradiol Elution General Neuroscience 010401 analytical chemistry Extraction (chemistry) Solid Phase Extraction Water 021001 nanoscience & nanotechnology Silicon Dioxide 0104 chemical sciences chemistry Solvents Methanol 0210 nano-technology Water Pollutants Chemical Environmental Sciences |
| Zdroj: | Journal of visualized experiments : JoVE. (107) |
| ISSN: | 1940-087X |
| Popis: | A new method for solid phase extraction (SPE) of environmental water samples is proposed. The developed prototype is cost-efficient and user friendly, and enables to perform rapid, automated and simple SPE. The pre-concentrated solution is compatible with analysis by immunoassay, with a low organic solvent content. A method is described for the extraction and pre-concentration of natural hormone 17β-estradiol in 100 ml water samples. Reverse phase SPE is performed with octadecyl-silica sorbent and elution is done with 200 µl of methanol 50% v/v. Eluent is diluted by adding di-water to lower the amount of methanol. After preparing manually the SPE column, the overall procedure is performed automatically within 1 hr. At the end of the process, estradiol concentration is measured by using a commercial enzyme-linked immune-sorbent assay (ELISA). 100-fold pre-concentration is achieved and the methanol content in only 10% v/v. Full recoveries of the molecule are achieved with 1 ng/L spiked de-ionized and synthetic sea water samples. |
| Databáze: | OpenAIRE |
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