Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/9299| Title: | An experimental design approach employing artificial neural networks for the determination of potential endocrine disruptors in food using matrix solid-phase dispersion |
| Institution and School/Department of submitter: | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείας |
| Keywords: | experimental design,artificial neural networks,matrix solid-phase dispersion,edcs,performance liquid-chromatography,gas-chromatography,mass-spectrometry,polychlorinated-biphenyls,pesticide-residues,sample preparation,optimization,extraction,contaminants,herbicides |
| URI: | https://olympias.lib.uoi.gr/jspui/handle/123456789/9299 |
| ISSN: | 0021-9673 |
| Link: | <Go to ISI>://000263610500004 http://ac.els-cdn.com/S002196730802270X/1-s2.0-S002196730802270X-main.pdf?_tid=129e5a05d935db394f7dbbbc62e10d5a&acdnat=1333022724_640a66d26aa6d54e203aff331c31a07f |
| Publisher: | Elsevier |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΧΗΜ |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Boti-2009-An experimental desi.pdf | 663.81 kB | Adobe PDF | View/Open Request a copy |
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