Data processing of vibrational chemical imaging for pharmaceutical applications

Sacré, Pierre-Yves; Bleye, Charlotte De; Chavez, Pierre-François; Netchacovitch, Lauranne; Hubert, Ph.; Ziemons, Eric

doi:10.1016/j.jpba.2014.04.012

Cited by 101 publications

(54 citation statements)

References 103 publications

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“…Finally, in the global imaging configuration, the whole sample is illuminated and the intensity of a fixed number of wavenumbers is recorded returning a complete image of the sample for each wavenumber. In this case, the spatial resolution is limited by the number of pixels of the detector (Sacré et al, 2014a). In the present study, each imaging system worked in the point mapping mode.…”

Section: Introductionmentioning

confidence: 99%

Thorough characterization of a Self-Emulsifying Drug Delivery System with Raman hyperspectral imaging: A case study

Sacré

Netchacovitch

Bleye

et al. 2015

International Journal of Pharmaceutics

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Newly developed drugs often have poor bioavailability due to their poor water solubility (BCS class 2 drugs). It is therefore necessary to develop new strategies to enhance their solubility and their activity, among which, Self-Emulsifying Drug Delivery System (SEDDS).The efficacy of the drugs contained in these preparations is mainly affected by the solid state and the particle size of the active pharmaceutical ingredient (API).However, it is quite complex, long and expensive to characterize these parameters with classical techniques such as X-Ray powder diffraction, differential scanning calorimetry or hot stage microscopy.The present article presents, through a case study, the advantages of the Raman hyperspectral imaging in the characterization of such formulations. Indeed, Raman chemical imaging may fully characterize SEDDS with single equipment and operator in a non-destructive way allowing the follow-up of the formulation during stability studies. Raman imaging is therefore a tool of choice in the PAT framework since it increases the knowledge of the formulation and the process. 2A quantitative multivariate method using Raman hyperspectral imaging to assay the API in the lipid based formulation has been developed and fully validated following the "total error" approach.

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Section: Introductionmentioning

confidence: 99%

Thorough characterization of a Self-Emulsifying Drug Delivery System with Raman hyperspectral imaging: A case study

Sacré

Netchacovitch

Bleye

et al. 2015

International Journal of Pharmaceutics

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“…The particle lifetime distribution may be affected by fusion of API structures with an excipient during tableting. Such API/excipient complexes can be identified by chemical imaging (Sacré et al, 2014), but the impact of these complexes on API dissolution detected by chemical imaging is difficult to predict.…”

Section: Discussionmentioning

confidence: 99%

Population data analysis of dissolution time profiles: Assessment of physicochemical properties of the drug, drug particles and the pharmaceutical formulation

Horkovics-Kovats

Brunovský

Pichler

et al. 2015

European Journal of Pharmaceutical Sciences

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“…NIR and Raman spectra may be studied individually to locate areas carrying information. However chemometric analysis is well suited for comparative assessment of all the spectra (105 spectra with 2500 wavenumbers for the NIR and 6000 spectra per image with 1015 wavenumbers for Raman imaging) …”

Section: Methodsmentioning

confidence: 99%

Investigation of the composition of anabolic tablets using near infrared spectroscopy and Raman chemical imaging

Rebiere

Ghyselinck

Lempereur

et al. 2015

Drug Testing and Analysis

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The use of performance enhancing drugs is a widespread phenomenon in professional and leisure sports. A spectroscopic study was carried out on anabolic tablets labelled as 5 mg methandienone tablets provided by police departments. The analytical approach was based on a two-step methodology: a fast analysis of tablets using near infrared (NIR) spectroscopy to assess sample homogeneity based on their global composition, followed by Raman chemical imaging of one sample per NIR profile to obtain information on sample formulation. NIR spectroscopy assisted by a principal components analysis (PCA) enabled fast discrimination of different profiles based on the excipient formulation. Raman hyperspectral imaging and multivariate curve resolution - alternating least square (MCR-ALS) provided chemical images of the distribution of the active substance and excipients within tablets and facilitated identification of the active compounds. The combination of NIR spectroscopy and Raman chemical imaging highlighted dose-to-dose variations and succeeded in the discrimination of four different formulations out of eight similar samples of anabolic tablets. Some samples contained either methandienone or methyltestosterone whereas one sample did not contain an active substance. Other ingredients were sucrose, lactose, starch or talc. Both techniques were fast and non-destructive and therefore can be carried out as exploratory methods prior to destructive screening methods. Copyright © 2015 John Wiley & Sons, Ltd.

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Data processing of vibrational chemical imaging for pharmaceutical applications

Cited by 101 publications

References 103 publications

Thorough characterization of a Self-Emulsifying Drug Delivery System with Raman hyperspectral imaging: A case study

Thorough characterization of a Self-Emulsifying Drug Delivery System with Raman hyperspectral imaging: A case study

Population data analysis of dissolution time profiles: Assessment of physicochemical properties of the drug, drug particles and the pharmaceutical formulation

Investigation of the composition of anabolic tablets using near infrared spectroscopy and Raman chemical imaging

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