Coupling multivariate regression methods to atomic spectrometry is an emerging field from
which important advantages can be obtained. These include lower workloads, increased …

The first edition of this book was a first book for atomic spectroscopists to present the basic
principles of experimental designs, optimization and multivariate regression. Multivariate …

In the present paper, a procedure for preconcentration and determination of copper in soft
drink using flame atomic absorption spectrometry (FAAS) is proposed, which is based on …

Most heavy metals are present in trace concentrations in many matrices whereas
concomitants are, generally, several orders of magnitude higher. Thus, when Sb was …

A simple and rapid method was proposed for the preconcentration of trace levels of lead
prior to its determination by flame atomic absorption spectroscopy, based on air-assisted …

In analytical chemistry laboratories large investments in time and resources are geared to
working with instrumental methods of analysis, an overwhelming number of which rely on …

A generalized regression artificial neural network (GRANN) was developed and evaluated
for modeling cadmium's nonlinear calibration curve in order to extend its upper …

In the present paper, extraction procedure for copper (II) present in an aqueous sulphate
media using a supported liquid membrane by chloride tri-N-octylmethylammonium (Aliquat …

Chemometric treatment was proposed for handling graphite furnace atomic absorption
(GFAAS) data. It aims at correcting the errors encountered in such a technique due to …

A method is presented of stipulating the extension of the calibration line in analytical
chemistry. The method is based on a combination of chemometric data interpretation and …