Near-infrared determination of active substance content in intact low-dosage tablets

Chalus, Pascal; Roggo, Yves; Walter, S.; Ulmschneider, Michel

doi:10.1016/j.talanta.2005.01.051

Cited by 68 publications

(27 citation statements)

References 25 publications

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“…The major advantages of NIR spectroscopy and imaging over traditional analytical methods lie in their rapid and nondestructive measurements without the need for any sample pretreatments, its robust instrumentation (8), capacity for remote measurement by interfacing with fiber optic probes, and ability to predict chemical and physical properties from a single spectrum (5,9). NIR imaging combines NIR spectroscopy with digital image processing and provides both spatial and spectral information about the distribution of components in a sample (10). The main disadvantages of NIR spectroscopy and imaging are the minor intensity of absorption and the broadening of absorption bands (11).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Anticancer Drug-Loaded Nanoparticle Characteristics by Nondestructive Methodologies

et al. 2012

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Abstract. The purpose of this study was to utilize near-infrared (NIR) spectroscopy and near-infrared chemical imaging (NIR-CI) as non-invasive techniques to evaluate the drug loading in letrozole-loaded PLGA nanoparticle formulations prepared by the emulsification-solvent evaporation method. A Plackett-Burman design was applied to evaluate the main effects of amount of drug (X 1 ), amount of polymer (X 2 ), stirring rate (X 3 ), emulsifier concentration (X 4 ), organic to aqueous phase volume ratio (X 5 ), type of organic solvent (X 6 ), and homogenization time (X 7 ) on drug entrapment efficiency. The influence of three different spectral pretreatment methods (multiplicative scatter correction, standard normal variate, and Savitzky-Golay second derivative transformation with third-order polynomial) and two different regression methods (PLS regression and principal component regression (PCR)) on model prediction ability were compared. PLS of spectra that were pretreated with Savitzky-Golay second derivative transformation provided better model prediction than PCR as it revealed better linear correlation (correlation coefficient of 0.991) for both calibration and prediction models. Relatively low values of root mean square errors of calibration (RMSEC=0.748) and prediction (RMSEP=0.786) and low standard errors of calibration (SEC=0.758) and prediction (SEP=0.589) suggested good predictability for estimation of the loading of letrozole in PLGA nanoparticles. NIR-CI analysis also revealed mutual homogenous distribution of both polymer and drug and was capable of clearly distinguishing the 12 formulations both quantitatively and qualitatively. In conclusion, NIR and NIR-CI could be potentially used to characterize anticancer drug-loaded nanoparticulate matrix.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Anticancer Drug-Loaded Nanoparticle Characteristics by Nondestructive Methodologies

et al. 2012

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“…É também aplicado na quantificação de fármacos de baixa dosagem (CHALUS et al, 2005), identificação de matérias-primas e excipientes (SWARBRICK, 2008), para medição do tamanho de partícula (ROGGO et al, 2007;BLANCO;PEGUERO, 2008), análise polimórfica (YU, et al, 2004), determinação de umidade em vários produtos intermediários e acabados (WANG et al, 2009) e identificação de medicamentos falsificados (ZHANG et al, 2008;FUA, et al, 2010).…”

Section: Figura 01 -Regiões Do Espectro Eletromagnético Com Suas Respunclassified

Application of Infrared Spectroscopy Couple With Multivariate Calibration for Drug Quality Control - Revision

Madeira

Piantavini

Trindade

2015

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Autor para correspondência: angela@ufpr.br RESUMO:A espectroscopia na região do infravermelho (próximo e médio) pode ser aplicada como alternativa para determinar o teor de substâncias ativas em formas farmacêuticas. A análise quantitativa de fármacos por infravermelho, empregando a técnica de reflectância difusa, apresenta vantagens quando comparada a outras técnicas, como rapidez, menor custo, não utilização de solvente orgânico e determinação direta de um ou mais fármacos, na presença de interferentes. Apesar das vantagens, o espectro obtido por esta técnica apresenta alta complexidade de sinal, devido ao grande número de modos de vibração, e baixa seletividade, pela sobreposição de sinais analíticos. Logo, determinações univariadas são dificultadas, sendo necessário a aplicação de ferramentas quimiométricas, tais como a calibração multivariada. O método mais utilizado é o dos mínimos quadrados parciais (PLSPartial Least Squares), podendo ser empregado para a determinação de um único fármaco (PLS1) ou determinação simultânea de dois ou mais fármacos (PLS2). A validação de modelos multivariados aplicados a medicamentos vem sendo realizada de forma não padronizada, considerando-se parâmetros estabelecidos para normas univaridas e figuras de mérito cabíveis para métodos multivariados, pois ainda não está regulamentada por órgãos fiscalizadores nacionais, tais como ANVISA. PLAVRAS-CHAVE: infravermelho, DRIFT, calibração multivariada, PLS, controle de qualidade, validação de método analítico. ABSTRACT:The infrared spectroscopy (near and mid region) can be applied as an alternative to determine the content of active pharmaceutical ingredients in pharmaceuticals forms. The quantitative analysis using infrared diffuse reflectance (DRIFT) has advantages, compared to other techniques, such as speed, lowest, no use organic solvent and direct and simultaneous determination of the drug (in the presence of interferents). Despite the advantages, the spectrum obtained by this technique is highly complex signal and low selectivity due to the large number of vibration modes and overlapping analytical signals, respectively. Thus, the univariate methods are hampered, requiring the application of chemometric tools, such as, the multivariate calibration. The most used method is the partial least squares (PLS -Partial Least Squares) and can be used for the determination of a single asset (PLS1) or simultaneous determination of two or more

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“…Although, for these baseline spectral techniques, it has been shown that physical properties, such as particle size, will result in spectral diffusion that limits the applicability of these baseline spectra to facilitate the differentiation of physical changes from chemical or compositional changes that may result from the combination of these components into a formulation. [33][34][35] Additionally, matrix effects and excipient interactions may limit the use of these reflectance baseline spectra and affect overall spectral information. [33][34][35] With molecular LIBS spectroscopic analysis we have shown good selectivity for those pharmaceutical formulation constituents without the need of baseline spectra.…”

Section: -14mentioning

confidence: 99%

“…[33][34][35] Additionally, matrix effects and excipient interactions may limit the use of these reflectance baseline spectra and affect overall spectral information. [33][34][35] With molecular LIBS spectroscopic analysis we have shown good selectivity for those pharmaceutical formulation constituents without the need of baseline spectra. 30 Well established reflective spectroscopic techniques such as NIR and Raman are also hindered by the penetration depth at the solid dosage form surface.…”

Section: -14mentioning

confidence: 99%

Quantitative molecular analysis with molecular bands emission using laser-induced breakdown spectroscopy and chemometrics

Doucet¹,

Faustino²,

Sabsabi³

et al. 2008

J. Anal. At. Spectrom.

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The present work describes the first quantitative molecular prediction using laser-induced molecular bands along with chemometrics. In addition, this spectroscopic procedure has demonstrated the first complete quantitative analysis utilizing traditionally insensitive elements for pharmaceutical formulations. Atomic LIBS requires certain sensitive elements, such as Cl, F, Br, S and P, in order to quantitate a specific organic compound in a complex matrix. Molecular LIBS has been demonstrated to be the first successful approach using atomic spectroscopy to evaluate a complex organic matrix. This procedure is also the first quantitative analysis using laser-induced molecular bands and chemometrics. We have successfully applied chemometrics to predict the formulation excipients and active pharmaceutical ingredient (API) in a complex pharmaceutical formulation. Using such an approach, we demonstrate that the accuracy for the API and a formulation lubricant, magnesium stearate, have less than 4% relative bias. The other formulation excipients such as Avicel Ò and lactose have been accurately predicted to have less than a 15% relative bias. Molecular LIBS and chemometrics have provided a novel approach for the quantitative analysis of several molecules that was not technically possible with the traditional atomic LIBS procedure, that required sensitive elements to be present in both API and formulation excipients.

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Near-infrared determination of active substance content in intact low-dosage tablets

Cited by 68 publications

References 25 publications

Evaluation of Anticancer Drug-Loaded Nanoparticle Characteristics by Nondestructive Methodologies

Evaluation of Anticancer Drug-Loaded Nanoparticle Characteristics by Nondestructive Methodologies

Application of Infrared Spectroscopy Couple With Multivariate Calibration for Drug Quality Control - Revision

Quantitative molecular analysis with molecular bands emission using laser-induced breakdown spectroscopy and chemometrics

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