<b>Emprego do Algoritmo Busca Tabu na determinação de principios ativos em fármacos</b>

Abstract

A new methodology of analysis for the quantification of antihipertensive drugs is provided in this work, using tabu search optimization with infrared spectroscopy by diffuse reflectance Fourier transform (DRIFTS) and partial-least squares regression method (PLS). Firstly, through an experimental planning, samples with the active principle hidrochlorotiazide in starch were prepared, and the standard set of the spectra as well as of the validation samples were gotten in this process. A diffuse reflectance joined to a Nicolet Magna 550 spectrophotometry in the mid-infrared region was used. The examples were developed in a Matlab, spending the real data in shape of Log (1/R). The calibration was through PLS in order to use it as a pre-processing. The data were used in multiplicative signal correction (MSC). After the best wavelength selection, which results in models with better coefficient regression (R2), these were improved using routines based on tabu search heuristic method. For the evaluation of the optimization a standard error of validation (SEV) was used. The new technique using DRIFTS/PLS/TS shows an excellent choice for the quality control of the productive process of factories and drugstores that produce or handle these materials in large scale, presenting low time of analysis, no sample destruction and no wastes production.

Keywords: Tabu Search, Pharmacological Formulations, multivariate regression.