Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets

Lopes, Marta B.; Bioucas-Dias, José M.; Figueiredo, Mário A. T.; Wolff, Jean‐Claude; Mistry, Nisha; Warrack, John

doi:10.1109/whispers.2011.6080869

Cited by 4 publications

(2 citation statements)

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“…There are only a few works in the literature where the authors directly compare Raman and NIR imaging by using them to perform the same measurement. The works of Šašić [ 27 , 28 , 29 ], Carruthers et al [ 30 ] and Lopes et al [ 31 ] analyze Raman and NIR maps of a handful of tablets in great detail. It was found that the two techniques yield generally similar results, although, in distribution maps obtained by Raman imaging, the boundaries of particles are clearer and Raman imaging is a better choice for components with low concentrations.…”

Section: Introductionmentioning

confidence: 99%

Comparing the Performance of Raman and Near-Infrared Imaging in the Prediction of the In Vitro Dissolution Profile of Extended-Release Tablets Based on Artificial Neural Networks

Galata,

Gergely,

Nagy

et al. 2023

Pharmaceuticals

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In this work, the performance of two fast chemical imaging techniques, Raman and near-infrared (NIR) imaging is compared by utilizing these methods to predict the rate of drug release from sustained-release tablets. Sustained release is provided by adding hydroxypropyl methylcellulose (HPMC), as its concentration and particle size determine the dissolution rate of the drug. The chemical images were processed using classical least squares; afterwards, a convolutional neural network was applied to extract information regarding the particle size of HPMC. The chemical images were reduced to an average HPMC concentration and a predicted particle size value; these were used as inputs in an artificial neural network with a single hidden layer to predict the dissolution profile of the tablets. Both NIR and Raman imaging yielded accurate predictions. As the instrumentation of NIR imaging allows faster measurements than Raman imaging, this technique is a better candidate for implementing a real-time technique. The introduction of chemical imaging in the routine quality control of pharmaceutical products would profoundly change quality assurance in the pharmaceutical industry.

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Section: Introductionmentioning

confidence: 99%

Comparing the Performance of Raman and Near-Infrared Imaging in the Prediction of the In Vitro Dissolution Profile of Extended-Release Tablets Based on Artificial Neural Networks

Galata,

Gergely,

Nagy

et al. 2023

Pharmaceuticals

View full text Add to dashboard Cite

show abstract

“…Hyperspectral imaging is not confined to remote sensing. It has applications in agriculture and the food industry, biotechnology, medical sciences, the pharmaceutical industry, manufacturing and forensic science [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%