Abstract
Although near infrared (NIR) spectra are primarily influenced by undesired variations, i.e., baseline shifts and non-linearity, and many applications of NIR spectroscopy to the real-time monitoring of wet granulation processes have been reported, the granulation mechanisms behind these variations have not been fully discussed. These variations of NIR spectra can be canceled out using appropriate pre-processing techniques prior to spectral analysis. The present study assessed the feasibility of directly using baseline shifts in NIR spectra to monitor granulation processes, because such shifts can reflect changes in the physical properties of the granular material, including particle size, shape, density, and refractive index. Specifically, OPUSGRAN®, a novel granulation technology, was investigated by in-line NIR monitoring. NIR spectra were collected using a NIR diffuse reflectance fiber optic probe immersed in a high-shear granulator while simultaneously examining the morphology, particle size, density, strength, and Raman images of the mixture during granulation. The NIR baseline shift pattern was found to be characteristic of the OPUSGRAN® technology and was attributed to variations in the light transmittance, reflection, and scattering resulting from changes in the physicochemical properties of the samples during granulation. The baseline shift also exhibited an inflection point around the completion of granulation, and therefore may be used to determine the endpoint of the process. These results suggest that a specific pattern of NIR baseline shifts are associated with the unique OPUSGRAN® granulation mechanism and can be applied to monitor the manufacturing process and determine the endpoint.
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References
Administration FDA. Guidance for industry PAT —a framework for innovative pharmaceutical development, manufacturing, and quality Assurance. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm070305.pdf. 2004. Accessed 03 Jul 2017.
De Bleye C, Chavez PF, Mantanus J, Marini R, Hubert P, Rozet E, et al. Critical review of near-infrared spectroscopic methods validations in pharmaceutical applications. J Pharm Biomed Anal. 2012;69:125–32.
Luypaert J, Massart DL, Vander HY. Near-infrared spectroscopy applications in pharmaceutical analysis. Talanta. 2007;72(3):865–83.
Maltesen MJ, van de Weert M, Grohganz H. Design of experiments-based monitoring of critical quality attributes for the spray-drying process of insulin by NIR spectroscopy. AAPS PharmSciTech. 2012;13(3):747–55.
Naidu VR, Deshpande RS, Syed MR, Deoghare P, Singh D, Wakte PS. PAT-based control of fluid bed coating process using NIR spectroscopy to monitor the cellulose coating on pharmaceutical pellets. AAPS PharmSciTech. 2017;18(6):2045–54.
Scheibelhofer O, Balak N, Wahl PR, Koller DM, Glasser BJ, Khinast JG. Monitoring blending of pharmaceutical powders with multipoint NIR spectroscopy. AAPS PharmSciTech. 2013;14(1):234–44.
Helmdach L, Feth MP, Minnich C, Ulrich J. Application of ATR-MIR spectroscopy in the pilot plant—scope and limitations using the example of paracetamol crystallizations. Chem Eng Process Process Intensif. 2013;70:184–97.
Lewiner F, Klein JP, Puel F, Févotte G. On-line ATR FTIR measurement of supersaturation during solution crystallization processes. Calibration and applications on three solute/solvent systems. Chem Eng Sci. 2001;56(6):2069–84.
Pollanen K, Hakkinen A, Reinikainen SP, Rantanen J, Karjalainen M, Louhi-Kultanen M, et al. IR spectroscopy together with multivariate data analysis as a process analytical tool for in-line monitoring of crystallization process and solid-state analysis of crystalline product. J Pharm Biomed Anal. 2005;38(2):275–84.
Togkalidou T, Tung H-H, Sun Y, Andrews A, Braatz RD. Solution concentration prediction for pharmaceutical crystallization processes using robust chemometrics and ATR FTIR spectroscopy. Org Process Res Dev. 2002;6(3):317–22.
Yu LX, Lionberger RA, Raw AS, D'Costa R, Wu H, Hussain AS. Applications of process analytical technology to crystallization processes. Adv Drug Deliv Rev. 2004;56(3):349–69.
De Beer TR, Baeyens WR, Ouyang J, Vervaet C, Remon JP. Raman spectroscopy as a process analytical technology tool for the understanding and the quantitative in-line monitoring of the homogenization process of a pharmaceutical suspension. Analyst. 2006;131(10):1137–44.
De Beer TR, Bodson C, Dejaegher B, Walczak B, Vercruysse P, Burggraeve A, et al. Raman spectroscopy as a process analytical technology (PAT) tool for the in-line monitoring and understanding of a powder blending process. J Pharm Biomed Anal. 2008;48(3):772–9.
Saerens L, Dierickx L, Lenain B, Vervaet C, Remon JP, De Beer T. Raman spectroscopy for the in-line polymer-drug quantification and solid state characterization during a pharmaceutical hot-melt extrusion process. Eur J Pharm Biopharm. 2011;77(1):158–63.
Wirges M, Funke A, Serno P, Knop K, Kleinebudde P. Development and in-line validation of a process analytical technology to facilitate the scale up of coating processes. J Pharm Biomed Anal. 2013;78-79:57–64.
Zhang J, Ying Y, Pielecha-Safira B, Bilgili E, Ramachandran R, Romanach R, et al. Raman spectroscopy for in-line and off-line quantification of poorly soluble drugs in strip films. Int J Pharm. 2014;475(1–2):428–37.
De Beer T, Burggraeve A, Fonteyne M, Saerens L, Remon JP, Vervaet C. Near infrared and Raman spectroscopy for the in-process monitoring of pharmaceutical production processes. Int J Pharm. 2011;417(1–2):32–47.
Laske S, Paudel A, Scheibelhofer O. A review of PAT strategies in secondary solid oral dosage manufacturing of small molecules. J Pharm Sci. 2017;106(3):667–712.
Simon LL, Pataki H, Marosi G, Meemken F, Hungerbühler K, Baiker A, et al. Assessment of recent process analytical technology (PAT) trends: a multiauthor review. Org Process Res Dev. 2015;19(1):3–62.
Alcala M, Blanco M, Bautista M, Gonzalez JM. On-line monitoring of a granulation process by NIR spectroscopy. J Pharm Sci. 2010;99(1):336–45.
Jorgensen AC, Luukkonen P, Rantanen J, Schaefer T, Juppo AM, Yliruusi J. Comparison of torque measurements and near-infrared spectroscopy in characterization of a wet granulation process. J Pharm Sci. 2004;93(9):2232–43.
Jorgensen AC, Rantanen J, Luukkonen P, Laine S, Yliruusi J. Visualization of a pharmaceutical unit operation: wet granulation. Anal Chem. 2004;76(18):5331–8.
Li W, Worosila GD, Wang W, Mascaro T. Determination of polymorph conversion of an active pharmaceutical ingredient in wet granulation using NIR calibration models generated from the premix blends. J Pharm Sci. 2005;94(12):2800–6.
Luukkonen P, Fransson M, Bjorn IN, Hautala J, Lagerholm B, Folestad S. Real-time assessment of granule and tablet properties using in-line data from a high-shear granulation process. J Pharm Sci. 2008;97(2):950–9.
Rantanen J, Rasanen E, Tenhunen J, Kansakoski M, Mannermaa J, Yliruusi J. In-line moisture measurement during granulation with a four-wavelength near infrared sensor: an evaluation of particle size and binder effects. Eur J Pharm Biopharm. 2000;50(2):271–6.
Rantanen J, Wikstrom H, Turner R, Taylor LS. Use of in-line near-infrared spectroscopy in combination with chemometrics for improved understanding of pharmaceutical processes. Anal Chem. 2005;77(2):556–63.
Tok AT, Goh X, Ng WK, Tan RB. Monitoring granulation rate processes using three PAT tools in a pilot-scale fluidized bed. AAPS PharmSciTech. 2008;9(4):1083–91.
Rinnan Å, Fvd B, Engelsen SB. Review of the most common pre-processing techniques for near-infrared spectra. TrAC Trends Anal Chem. 2009;28(10):1201–22.
Asada T, Kobiki M, Ochiai Y, Iwao Y, Itai S. An innovative method for the preparation of high API-loaded hollow spherical granules for use in controlled-release formulation. Int J Pharm. 2017;523(1):167–75.
Acknowledgements
The authors thank Takumi Asada and Mitsuaki Kobiki for helpful advice regarding the OPUSGRAN® granulation technique and also thank Ryo Omata for manufacturing support and Akiko Okada for assistance during data acquisition.
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Kuriyama, A., Osuga, J., Hattori, Y. et al. In-Line Monitoring of a High-Shear Granulation Process Using the Baseline Shift of Near Infrared Spectra. AAPS PharmSciTech 19, 710–718 (2018). https://doi.org/10.1208/s12249-017-0882-2
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DOI: https://doi.org/10.1208/s12249-017-0882-2