IJUP08 - Universidade do Porto
IJUP08 - Universidade do Porto
IJUP08 - Universidade do Porto
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Determination of physical parameters in pharmaceutical powders<br />
by near infrared spectroscopy (NIR)<br />
Ana Cruz 1,2 , Sandra Soares 1,2 , Mafalda C. Sarraguça 1 , Paulo C. Costa 2 , Helena R.<br />
Amaral 2 , João A. Lopes 1<br />
1 Serviço de Química-Física, Faculdade de Farmácia, <strong>Universidade</strong> <strong>do</strong> <strong>Porto</strong>, Portugal<br />
2 Serviço de Tecnologia Farmacêutica, Faculdade de Farmácia, <strong>Universidade</strong> <strong>do</strong> <strong>Porto</strong>, Portugal<br />
Near infrared spectroscopy (NIR) can be used to determine physical and chemical<br />
parameters in solids, powders and liquids [1]. The application of this spectroscopic<br />
technique in the pharmaceutical industry is increasing [2]. NIR has been successfully<br />
applied for variability reduction in primary and secondary pharmaceutical production while<br />
as a research and quality control technique [3]. In the field of physical parameters<br />
determination, NIR spectroscopy is still underused. Parameters such as particle size,<br />
apparent volume and flowability, are defined by the Portuguese Pharmacopeia as some of<br />
the tests performed to characterize pharmaceutical powders. These tests require specific<br />
equipment and are time consuming. NIR spectroscopy can be used to determine these<br />
parameters, with the advantage of being a fast and low-cost technique.<br />
To establish the potential of the spectroscopic technique in the determination of some<br />
important physical parameters, a series of tests were performed in powder samples. The<br />
parameters determined were the angle of rest, apparent volume, and flowability. The tests<br />
were executed as determined in the pharmacopeia. The samples used were blended<br />
powders based on a pharmaceutical formulation of acetaminophen (as the active<br />
ingredient) and three excipients (microcrystalline cellulose, talc and magnesium stearate).<br />
The NIR spectrum was recorded on a Fourier Transform NIR analyzer in reflectance mode.<br />
Partial least squares (PLS) calibrations were optimized in terms of latent variables with<br />
cross-validation [4]. The NIR results were compared with the reference methods results<br />
and the performance of the NIR was accessed.<br />
References<br />
[1] Burns, D.A. and Ciurczak, E.W. (2001) Handbook of Near-Infrared Analysis, Marcel Dekker,<br />
2 nd Edition, New York.<br />
[2] Blanco, M. Coello, J., Iturriaga, H., Maspoch, S. and Pezuela, C.(1998) Near-Infrared<br />
Spectroscopy in the Pharmaceutical Industry, Analyst, 123, 135R.<br />
[3] Lopes, J.A., Costa, P.F., Alves, T.P. and Menezes, J.C. (2004) Chemometrics in Bioprocess<br />
Engineering: Process Analytical Technology (PAT) Applications, Chemom. Intell. Lab. Syst., 74,<br />
269.<br />
[4] Martens, H. and Næs, T. (1989) Multivariate Calibration, John Wiley & Sons, Chicester.<br />
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