Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods

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. Calibration models were developed using two variable selection models: interval partial lea...

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Main Authors: Jucelino Medeiros Marques Junior, Aline Lima Hermes Muller, Edson Luiz Foletto, Adilson Ben da Costa, Cezar Augusto Bizzi, Edson Irineu Muller
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Analytical Methods in Chemistry
Online Access:http://dx.doi.org/10.1155/2015/795102
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author Jucelino Medeiros Marques Junior
Aline Lima Hermes Muller
Edson Luiz Foletto
Adilson Ben da Costa
Cezar Augusto Bizzi
Edson Irineu Muller
author_facet Jucelino Medeiros Marques Junior
Aline Lima Hermes Muller
Edson Luiz Foletto
Adilson Ben da Costa
Cezar Augusto Bizzi
Edson Irineu Muller
author_sort Jucelino Medeiros Marques Junior
collection DOAJ
description 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. Calibration models were developed using two variable selection models: interval partial least squares (iPLS) and synergy interval partial least squares (siPLS). The treatments based on the mean centered data and multiplicative scatter correction (MSC) were selected for models construction. A root mean square error of prediction (RMSEP) of 8.2 mg g−1 was achieved using siPLS (s2i20PLS) algorithm with spectra divided into 20 intervals and combination of 2 intervals (8501 to 8801 and 5201 to 5501 cm−1). Results obtained by the proposed method were compared with those using the pharmacopoeia reference method and significant difference was not observed. Therefore, proposed method allowed a fast, precise, and accurate determination of propranolol hydrochloride in pharmaceutical preparations. Furthermore, it is possible to carry out on-line analysis of this active principle in pharmaceutical formulations with use of fiber optic probe.
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publishDate 2015-01-01
publisher Wiley
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series Journal of Analytical Methods in Chemistry
spelling doaj-art-3fceecbd614b49f887686e147bc4afc82025-08-20T02:08:04ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732015-01-01201510.1155/2015/795102795102Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration MethodsJucelino Medeiros Marques Junior0Aline Lima Hermes Muller1Edson Luiz Foletto2Adilson Ben da Costa3Cezar Augusto Bizzi4Edson Irineu Muller5Departamento de Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, BrazilDepartamento de Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, BrazilDepartamento de Engenharia Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, BrazilDepartamento de Biologia e Farmácia, Laboratório de Limnologia, Universidade de Santa Cruz do Sul, 96815-900 Santa Cruz do Sul, RS, BrazilDepartamento de Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, BrazilDepartamento de Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, BrazilA 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. Calibration models were developed using two variable selection models: interval partial least squares (iPLS) and synergy interval partial least squares (siPLS). The treatments based on the mean centered data and multiplicative scatter correction (MSC) were selected for models construction. A root mean square error of prediction (RMSEP) of 8.2 mg g−1 was achieved using siPLS (s2i20PLS) algorithm with spectra divided into 20 intervals and combination of 2 intervals (8501 to 8801 and 5201 to 5501 cm−1). Results obtained by the proposed method were compared with those using the pharmacopoeia reference method and significant difference was not observed. Therefore, proposed method allowed a fast, precise, and accurate determination of propranolol hydrochloride in pharmaceutical preparations. Furthermore, it is possible to carry out on-line analysis of this active principle in pharmaceutical formulations with use of fiber optic probe.http://dx.doi.org/10.1155/2015/795102
spellingShingle Jucelino Medeiros Marques Junior
Aline Lima Hermes Muller
Edson Luiz Foletto
Adilson Ben da Costa
Cezar Augusto Bizzi
Edson Irineu Muller
Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods
Journal of Analytical Methods in Chemistry
title Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods
title_full Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods
title_fullStr Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods
title_full_unstemmed Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods
title_short Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods
title_sort determination of propranolol hydrochloride in pharmaceutical preparations using near infrared spectrometry with fiber optic probe and multivariate calibration methods
url http://dx.doi.org/10.1155/2015/795102
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