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Pasamontes A, Callao MA. Optimization by means of responses surface of an analytical sequence using a sequential injection system. Talanta. 2005;68(5):1617-22doi: 10.1016/j.talanta.2005.08.033.
Pasamontes, A., & Callao, M. A. (2006). Optimization by means of responses surface of an analytical sequence using a sequential injection system. Talanta, 68(5), 1617-22. https://doi.org/10.1016/j.talanta.2005.08.033
Pasamontes, Alberto, and Callao, M A Pilar. "Optimization by means of responses surface of an analytical sequence using a sequential injection system." Talanta vol. 68,5 (2006): 1617-22. doi: https://doi.org/10.1016/j.talanta.2005.08.033
Pasamontes A, Callao MA. Optimization by means of responses surface of an analytical sequence using a sequential injection system. Talanta. 2006 Feb 28;68(5):1617-22. doi: 10.1016/j.talanta.2005.08.033. Epub 2005 Sep 12. PMID: 18970506.
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Talanta. 2006 Feb 28;68(5):1617-22. doi: 10.1016/j.talanta.2005.08.033. Epub 2005 Sep 12.

Optimization by means of responses surface of an analytical sequence using a sequential injection system.

Talanta

Alberto Pasamontes, M A Pilar Callao

Affiliations

  1. Departament de Química Analítica i Química Orgànica, Universitat Rovira i Virgili, Marcel lí Domingo s/n, Campus Sescelades, 43007 Tarragona, Spain.

PMID: 18970506 DOI: 10.1016/j.talanta.2005.08.033

Abstract

An experimental design method was applied to determine the optimum working conditions for sequential injection analysis (SIA) to obtain second-order data that will be treated using multivariate curve resolution with alternating least squares (MCR-ALS). The critical step is to design an analytical sequence that provides relevant information. This sequence depends on parameters related to the system, the chemical reaction, and the chemometric treatment of the data. Also, from the multiple responses that quantify the quality of this analytical sequence, a single response is determined from the desirability function. This method involves a factor-screening step, in which both the global desirability function and the individual responses are considered and a response surface-modelling step, in which the most relevant factors are considered.

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