<p>U radu su definisani najznačajniji ekspirementalni faktori hronopotenciometrijske striping analize žive na staklastom ugljeniku. Poređeni su različiti elektrohemijski sistemi. Ispitani sistemi su obuhvatili klasičnu elektrohemijsku ćeliju sa stacionarnom disk elektrodom, sistem sa rotirajućom disk elektrodom, procesnu posudu od staklastog ugljenika kao radnuelektrodu i protočne sisteme uz tankoslojnu i tubularnu ćeliju.</p><p>Tačnost definisanih metoda je potvrđena analizom standardnog referentnog materijala - lista paradajza. Najveća osetljivost određivanja žive je postignuta primenom procesne čaše od staklastog ugljenika kao radne elektrode. Granica detekcije je iznosila 0,10ng/dm<sup>3 </sup>žive(II). Razvijene metode su primenjene za određivanje žive u vodama. Uzorci voda su obuhvatili vode za piće, morske, rečne, bunarske, jezerske i otpadne vode.</p> / <p>In this work optimal experimental conditions of chronopotentiometric stripping analysis of mercury using glassy carbon were investigated. Critical review of different electrochemical systems is given. Conventional electrochemical cell with stationary disc electrode, cell with rotating disc elektrode, system with process vessel as a working electrode and flow systems with thin-layer and tubular cell were encompassed by the investigation.</p><p>Accuracy of the particular techniques was confirmed by analysing standard reference material - tomato leaves. Best sensitivity was achieved using process vessel of glassy carbon as a working electrode - 0,1 ng/d<sup>3</sup>. The developed methods were used for water analysis. Mercury was determined in samples of tap, well, seawater, river, lake, rain waters and in one sample of waste water.</p>
Identifer | oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)71249 |
Date | 19 April 2006 |
Creators | Švarc-Gajić Jaroslava |
Contributors | Suturović Zvonimir, Marjanović Nikola, Bjelica Luka |
Publisher | Univerzitet u Novom Sadu, Tehnološki fakultet Novi Sad, University of Novi Sad, Faculty of Technology at Novi Sad |
Source Sets | University of Novi Sad |
Language | Serbian |
Detected Language | Unknown |
Type | PhD thesis |
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