Elemental profiling of adrenal adenomas in solid tissue and blood samples by ICP-MS and ICP-OES

ICP-OES, ICP-MS and AAS Techniques Compared

This article will briefly describe these three techniques, and point out the important criteria by which to judge their applicability to your own analytical problems. Table 1 below shows a checklist of common analytical requirements and may help in the assessment of the techniques. For many people with an ICP-OES background, ICP-MS is a plasma with a mass spectrometer as a detector. Mass spectr...

Characterisation of airborne particulates and associated trace metals deposited on tree bark by ICP-OES, ICP-MS, SEM-EDX and laser ablation ICP-MS

Particulate matter accumulated on tree bark specimens was examined in order to investigate its potential use as a natural monitor to study the impact on local atmospheric conditions. Tree bark from sargent cherry (Prunus sargentii) and sugar maple (Acer saccharum Marsh) trees was collected from four locations: Drax (North Yorkshire), Darley Dale (Derbyshire), Galway (Ireland) and Tristan da Cun...

Guidelines for Chemical Analysis: Determination of the Elemental Content of Environment Samples using ICP-OES

Simultaneous separation and determination of Tl(I) and Tl(III) by IC-ICP-OES and IC-ICP-MS

A new hyphenated method was developed for the speciation of Tl. In this method, Tl(III) was complexed with DTPA to form a Tl(III)-DTPA anionic complex. Tl(I) did not form a complex with DTPA. The two species were separated simultaneously by means of ion chromatography using a Dionex cation exchange guard column, CG12A, and 15 mmol/l nitric acid as eluant. When ICP-OES was used as detector the d...

Linear and Nonlinear Multivariate Classification of Iranian Bottled Mineral Waters According to Their Elemental Content Determined by ICP-OES

The combinations of inductively coupled plasma-optical emission spectrometry (ICP-OES) and three classification algorithms, i.e., partial least squares discriminant analysis (PLS-DA), least squares support vector machine (LS-SVM) and soft independent modeling of class analogies (SIMCA), for discriminating different brands of Iranian bottled mineral waters, were explored. ICP-OES was used for th...