Concentration of trace elements in samples of sea water determined by use of two methods of concentrating


Autoria(s): Zhmaka, VI; Kovarskiy, NYa; Belen'kiy, VS; Anisimov, RI
Cobertura

MEDIAN LATITUDE: 33.340909 * MEDIAN LONGITUDE: 144.893939 * SOUTH-BOUND LATITUDE: 28.000000 * WEST-BOUND LONGITUDE: 138.833333 * NORTH-BOUND LATITUDE: 40.000000 * EAST-BOUND LONGITUDE: 150.000000

Data(s)

17/02/1984

Resumo

A device and a specific procedure for simultaneous concentration of trace ele¬ments from sea water by co-precipitating them in precipitate of magnesium hydroxide obtained by electrolytic alkalization of samples in a two-chamber electrolyzer are described. Analyses of sea water samples for zinc, iron, copper, nickel and lead demonstrate that the method produces a thousand-fold concentration and gives results that agree well with those obtained by extractive concentration using diethyldithiocarbamate and 8-hydroxyquinoline in chloroform. Extracts were analyzed by flame atomic absorption. Correlation coefficients of results obtained with use of these two methods of concentration were 0.76-0.87 for zinc, iron, and copper at confidence levels of 0.05-0.07. Average zinc and iron concentrations determined by the method differed by less than 10%.

Formato

text/tab-separated-values, 63 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.757414

doi:10.1594/PANGAEA.757414

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Zhmaka, VI; Kovarskiy, NYa; Belen'kiy, VS; Anisimov, RI (1984): Determination of iron and zinc in sea water by preconcentration of electrolytically precipitated magnesium hydroxide. Oceanology, 24(2), 268-270

Palavras-Chave #Archive of Ocean Data; ARCOD; Atomic absorption spectrometry (AAS); Copper; Event label; Iron; Latitude of event; Longitude of event; Water sample; West Pacific; WS; Zinc; ZKBA-10; ZKBA-11; ZKBA-12; ZKBA-2; ZKBA-3; ZKBA-4; ZKBA-5; ZKBA-6; ZKBA-7; ZKBA-8; ZKBA-9
Tipo

Dataset