Literature DB >> 29132112

Raman spectroscopy as a PAT for pharmaceutical blending: Advantages and disadvantages.

Daniela Riolo1, Alessandro Piazza1, Ciro Cottini1, Margherita Serafini1, Emilio Lutero1, Erika Cuoghi1, Lorena Gasparini1, Debora Botturi2, Iari Gabriel Marino3, Irene Aliatis4, Danilo Bersani5, Pier Paolo Lottici5.   

Abstract

Raman spectroscopy has been positively evaluated as a tool for the in-line and real-time monitoring of powder blending processes and it has been proved to be effective in the determination of the endpoint of the mixing, showing its potential role as process analytical technology (PAT). The aim of this study is to show advantages and disadvantages of Raman spectroscopy with respect to the most traditional HPLC analysis. The spectroscopic results, obtained directly on raw powders, sampled from a two-axis blender in real case conditions, were compared with the chromatographic data obtained on the same samples. The formulation blend used for the experiment consists of active pharmaceutical ingredient (API, concentrations 6.0% and 0.5%), lactose and magnesium stearate (as excipients). The first step of the monitoring process was selecting the appropriate wavenumber region where the Raman signal of API is maximal and interference from the spectral features of excipients is minimal. Blend profiles were created by plotting the area ratios of the Raman peak of API (AAPI) at 1598cm-1 and the Raman bands of excipients (AEXC), in the spectral range between 1560 and 1630cm-1, as a function of mixing time: the API content can be considered homogeneous when the time-dependent dispersion of the area ratio is minimized. In order to achieve a representative sampling with Raman spectroscopy, each sample was mapped in a motorized XY stage by a defocused laser beam of a micro-Raman apparatus. Good correlation between the two techniques has been found only for the composition at 6.0% (w/w). However, standard deviation analysis, applied to both HPLC and Raman data, showed that Raman results are more substantial than HPLC ones, since Raman spectroscopy enables generating data rich blend profiles. In addition, the relative standard deviation calculated from a single map (30 points) turned out to be representative of the degree of homogeneity for that blend time.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  High performance liquid chromatography (HPLC); Pharmaceuticals; Powder blending processes; Process analytical technologies (PAT); Raman spectroscopy

Mesh:

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Year:  2017        PMID: 29132112     DOI: 10.1016/j.jpba.2017.11.030

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  7 in total

1.  Development of Inline Near-Infrared Spectroscopy Method for Real-Time Monitoring of Blend Uniformity of Direct Compression and Granulation-Based Products at Commercial Scales.

Authors:  Aruna Khanolkar; Bhaskar Patil; Viraj Thorat; Gautam Samanta
Journal:  AAPS PharmSciTech       Date:  2022-08-24       Impact factor: 4.026

2.  Three-way analysis-based pH-UV-Vis spectroscopy for quantifying allura red in an energy drink and determining colorant's pKa.

Authors:  Erdal Dinç; Nazangül Ünal; Zehra Ceren Ertekin
Journal:  J Food Drug Anal       Date:  2021-03-15       Impact factor: 6.157

3.  Fast, Spectroscopy-Based Prediction of In Vitro Dissolution Profile of Extended Release Tablets Using Artificial Neural Networks.

Authors:  Dorián László Galata; Attila Farkas; Zsófia Könyves; Lilla Alexandra Mészáros; Edina Szabó; István Csontos; Andrea Pálos; György Marosi; Zsombor Kristóf Nagy; Brigitta Nagy
Journal:  Pharmaceutics       Date:  2019-08-09       Impact factor: 6.321

4.  Image-Based Artificial Intelligence Methods for Product Control of Tablet Coating Quality.

Authors:  Cosima Hirschberg; Magnus Edinger; Else Holmfred; Jukka Rantanen; Johan Boetker
Journal:  Pharmaceutics       Date:  2020-09-15       Impact factor: 6.321

Review 5.  Pharmaceutical application of multivariate modelling techniques: a review on the manufacturing of tablets.

Authors:  Guolin Shi; Longfei Lin; Yuling Liu; Gongsen Chen; Yuting Luo; Yanqiu Wu; Hui Li
Journal:  RSC Adv       Date:  2021-02-23       Impact factor: 3.361

Review 6.  Determination of Drugs in Clinical Trials: Current Status and Outlook.

Authors:  Babak Tavana; Aicheng Chen
Journal:  Sensors (Basel)       Date:  2022-02-18       Impact factor: 3.576

7.  New Conceptional Study of a Portable Highly Sensitive Photometric Raman Sensor.

Authors:  Steffen Manser; Sandy Kommert; Shaun Keck; Erik Spoor; Matthias Rädle
Journal:  Sensors (Basel)       Date:  2022-08-15       Impact factor: 3.847

  7 in total

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