Multivariate Classification of Cigarettes According to Their Elemental Content Determined by Inductively Coupled Plasma Optical Emission Spectrometry

Multivariate classification of cigarettes according to their elemental content determined by inductively coupled plasma optical emission spectrometry.

In this paper we describe our study on the characterization of cigarette samples according to their mineral content. Acid digestion assisted by microwaves was employed, and inductively coupled plasma optical emission spectrometry was the analytical technique used for the determination of Al, Ba, Ca, Cu, Fe, K, Mg, Mn, Na, P and Sr in conventional, light, and flavorized cigarettes. Multivariate ...

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...

Inductively Coupled Plasma - Optical Emission Spectrometry

ACKNOWLEDGEMENTS INTRODUCTION CONTENTS 1.1 Forensic Science Investigations 1.2 Forensic Science Analysis 2 1.3 Inductively Coupled Plasma-Optical Emission Spectrometry 7 1.4 The Aims of This Investigation 8 2 INDUCTIVELY COUPLED PLASMA-OPTICAL EMISSION SPECTROMETRY 10 2 .l Introduction 2.2 The Inductively Coupled Plasma 2.3 Instrumentation Used in This Study 2.3.1 Radio Frequency Generator 2.3....

Inductively Coupled Plasma/Optical Emission Spectrometry

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...