Infrared hyperspectral imaging for qualitative analysis of pharmaceutical solid forms

Roggo, Yves; Edmond, A.; Chalus, Pascal; Ulmschneider, Michel

doi:10.1016/j.aca.2004.12.037

Cited by 179 publications

(96 citation statements)

References 10 publications

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“…Future innovations in CI equipment manufacture are likely to depress purchase costs and encourage more widespread utilisation of this emerging technology in the pharmaceutical sector. Compositional information [28], [29] Quality assessment [20], [30] Process related information [31], [32] Blend uniformity [33], [34] Coating thickness [35] Counterfeit drug detection [36], [37] Remote identification [38], [41] Staring imager High throughput analysis [38], [39] [22], [49] Tablet characterisation [17], [29], [50], [51], [52], [53], […”

Section: Discussionmentioning

confidence: 99%

“…Another method involves keeping the image field of view fixed, and obtaining images one wavelength after another in what is known as a staring imager configuration [5]. This method has been popular for construction of NIR-CI hypercubes in pharmaceutical applications [19] and [20].…”

Section: Principles Of Chemical Imagingmentioning

confidence: 99%

“…Another paper reports the utilisation of NIR-CI for qualitative analysis of pharmaceutical forms [20]. A microscope coupled with a FPA detector constituted the NIR Chemical Imaging system in this case.…”

Section: Quality Assessmentmentioning

confidence: 99%

See 2 more Smart Citations

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Gowen

O’Donnell

Cullen³

et al. 2008

European Journal of Pharmaceutics and Biopharmaceutics

242

147

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Section: Discussionmentioning

confidence: 99%

Section: Principles Of Chemical Imagingmentioning

confidence: 99%

See 1 more Smart Citation

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Gowen

O’Donnell

Cullen³

et al. 2008

European Journal of Pharmaceutics and Biopharmaceutics

242

147

View full text Add to dashboard Cite

“…The robust reliable combination of chemical (molecular spectroscopy) and physical (digital imaging) features have been successfully applied to diverse fields such as remote sensing 18,19 , astronomy 20,21 , agriculture 21,22 , food 23 and pharmaceuticals [24][25][26] .…”

Section: Introductionmentioning

confidence: 99%

Characterization of sildenafil citrate tablets of different sources by near infrared chemical imaging and chemometric tools

Sabin

Lozano

Rocha

et al. 2013

Journal of Pharmaceutical and Biomedical Analysis

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In this paper the chemical imaging technique by near infrared spectroscopy was applied for characterization of drug formulations in tablets of sildenafil citrate of different sources. This work is original and has never been published because it was used the sildenafil citrate, including in the commercial one called "Viagra".In the first stage of the study, a chemometric method based on multivariate curve resolution was properly chosen for the development of the distribution map of concentrations of the active ingredient in tablets. In the second step, the normalized histograms of images from active ingredient were classified by hierarchical cluster analysis. Finally it was possible to recognize the patterns of homogeneity of images in sildenafil citrate tablet. This concept can be used to improve the knowledge of industrial products and processes, as well as, for characterization of counterfeit drugs.

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“…Imaging spectroscopy applied to characterization of compounds and spatial localization using near infrared (NIR) chemical imaging were demonstrated in pharmaceutical applications, such as mapping compound distribution, to verify the homogeneity or to detect counterfeits. [12][13][14][15][16][17][18] In a review of the literature, it is possible to find that the principal method used to develop calibration models using imaging NIR data is the single wavelength approach, in which the intensity of a single wavelength is related to the concentration of a specific compound. 14,17,[19][20][21][22][23] It is obvious that the wavelength must be selective for the compound to be quantified, turning this a risky strategy.…”

Section: Introductionmentioning

confidence: 99%

A quantitative method using near infrared imaging spectroscopy for determination of surface composition of tablet dosage forms: an example of spirolactone tablets

Carneiro¹,

Poppi²

2012

J. Braz. Chem. Soc.

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Neste trabalho, a espectroscopia de imagens no infravermelho próximo (NIR) foi empregada no estudo da distribuição do princípio ativo (API) espironolactona e seus excipientes em comprimidos. As análises foram realizadas utilizando resolução espacial de 50 µm, analisando 16 mm 2 de cada comprimido padrão. Modelos de mínimos quadrados parciais por intervalo (iPLS) foram utilizados para quantificação dos excipientes e API em cada pixel afim de obter mapas de concentração para cada composto. Foram obtidos erros de quantificação entre 0,49 e 1,26% quando realizada a validação cruzada utilizando a média espectral de cada comprimido. Esses modelos de calibração foram utilizados para prever a concentração individual de cada componente em cada pixel. A concentração média de todos os pixels, para cada composto, produziu erros entre 0,05 e 1,06%. Estes resultados indicaram que os modelos estavam aptos a quantificar todos os compostos em cada pixel, individualmente. Esta aproximação necessita ser realizada uma vez que não é possível conhecer a composição real em cada pixel.In this work, near infrared (NIR) imaging spectroscopy was employed in the study of the distribution of the active pharmaceutical ingredient (API) spironolactone and its excipients in tablets. Analyses were performed using 50 µm spatial resolution to analyze 16 mm 2 of each standard tablet. Interval partial least squares models were used for API and excipients quantification in every pixel in order to obtain concentration maps for each compound. It was obtained errors of quantification between 0.49 and 1.26% when performed the cross-validation using spectral average of each tablet. These calibration models were used to predict individual concentration of each compound in the tablet, in every pixel. The average concentration of all pixels, for each compound yield errors, was between 0.05 and 1.06%. These results indicate that the models were able to quantify all compounds in each pixel. This approach is necessary since it is not possible to know the real concentration of each compound in the pixels.

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Infrared hyperspectral imaging for qualitative analysis of pharmaceutical solid forms

Cited by 179 publications

References 10 publications

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Characterization of sildenafil citrate tablets of different sources by near infrared chemical imaging and chemometric tools

A quantitative method using near infrared imaging spectroscopy for determination of surface composition of tablet dosage forms: an example of spirolactone tablets

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