1992Geostandards and Geoanalytical ResearchRequires access

GOLD IN TWENTY‐SIX JAPANESE GEOCHEMICAL REFERENCE SAMPLES

Shigeru Terashima, S. Itoh, Atsushi Ando

Open publisher page 8 citations

Abstract

Gold has been determined in 26 geochemical reference samples with graphite furnace AAS after digesting the samples with aqua regia and hydrofluoric acid and extracting gold by methyl isobutyl ketone (MIBK). This method yields clearly higher values than those by the partial attack using aqua regia digestion.

About this research paper

What this paper is about

Gold has been determined in 26 geochemical reference samples with graphite furnace AAS after digesting the samples with aqua regia and hydrofluoric acid and extracting gold by methyl isobutyl ketone (MIBK). This method yields clearly higher values than those by the partial attack using aqua regia digestion.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Gold has been determined in 26 geochemical reference samples with graphite furnace AAS after digesting the samples with aqua regia and hydrofluoric acid and extracting gold by methyl isobutyl ketone (MIBK). This method yields clearly higher values than those by the partial attack using aqua regia digestion.

Key concepts: Aqua regia, Methyl isobutyl ketone, Hydrofluoric acid, Chemistry, Digestion (alchemy), Nuclear chemistry, Environmental chemistry, Ketone

Related papers

Back to paper searchBrowse research topicsOriginal source
GOLD IN TWENTY‐SIX JAPANESE GEOCHEMICAL REFERENCE SAMPLES — Research Paper | ScholarLens