Ultrapure Milli-Q water (18.2 MО© cm) and analytical-grade reagents (Merck, Darmstadt, Germany) were used for preparation of standards for UV analysis. Partial least-squares (PLS) regression is the most popular multivariate calibration method for quantitative analysisДў. NIR spectrometry combined with multivariate analysis allows improving the quality of results obtained for complex mixtures by overcoming problems related to overlapped signals. In addition, this technique is promising for using in Process Analytical Technology (PAT) because it allows online quantitative monitoring and fast data acquisition. A NIR spectrometry with fiber optic probe (FTNIR/PROBE) allows a fast analysis of different mixtures. In the last years, continuous increase of near and mid infrared spectrometry (NIR and MID) applications as analytical techniques for the quantification of complex mixtures has been observed.

Of reagent, time consumption, and great generation of chemical residues. These techniques showed some drawback as the use of high amount In addition one of the pharmacopoeia reference methods for propranolol hydrochloride assay is carried out using UV spectrometry with suitable dilution of the sample in methanol. Due to its therapeutic and pharmacological relevance, propranolol hydrochloride has been determined in pharmaceutical preparations by different techniques, such as spectrophotometry, spectrofluorimetry, electrochemical, and liquid chromatography. Introduction Propranolol (1-isopropylamino-3-(1-naphthyloxy)-2-propranolol) is a рќ›Ѕ-adrenergic blocking drug belonging to class II of antiarrhythmics that has wide application for the treatment of cardiac arrhythmia, sinus tachycardia, angina pectoris, and hypertension. Furthermore, it is possible to carry out on-line analysis of this active principle in pharmaceutical formulations with use of fiber optic probe.ДЎ. Therefore, proposed method allowed a fast, precise, and accurate determination of propranolol hydrochloride in pharmaceutical preparations.

Results obtained by the proposed method were compared with those using the pharmacopoeia reference method and significant difference was not observed. A root mean square error of prediction (RMSEP) of 8.2 mg gв€’1 was achieved using siPLS (s2i20PLS) algorithm with spectra divided into 20 intervals and combination of 2 intervals (8501 to 88 to 5501 cmв€’1 ). The treatments based on the mean centered data and multiplicative scatter correction (MSC) were selected for models construction. Calibration models were developed using two variable selection models: interval partial least squares (iPLS) and synergy interval partial least squares (siPLS). A method for determination of propranolol hydrochloride in pharmaceutical preparation using near infrared spectrometry with fiber optic probe (FTNIR/PROBE) and combined with chemometric methods was developed. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Research Article Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods Jucelino Medeiros Marques Junior,1 Aline Lima Hermes Muller,1 Edson Luiz Foletto,2 Adilson Ben da Costa,3 Cezar Augusto Bizzi,1 and Edson Irineu Muller1 1Дepartamento de QuВґД±mica, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, Brazil Departamento de Engenharia QuВґД±mica, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, Brazil 3 Departamento de Biologia e FarmВґacia, LaboratВґorio de Limnologia, Universidade de Santa Cruz do Sul, 96815-900 Santa Cruz do Sul, RS, Brazil 2Д¬orrespondence should be addressed to Edson Irineu Muller edson Received 20 October 2014 Revised 19 January 2015 Accepted 13 February 2015 Academic Editor: Ivonne Delgadillo Copyright В© 2015 Jucelino Medeiros Marques Junior et al.

Hindawi Publishing Corporation Journal of Analytical Methods in Chemistry Volume 2015, Article ID 795102, 6 pages

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