2015
DOI: 10.1016/j.ijpharm.2015.03.060
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Predicting the dissolution behavior of pharmaceutical tablets with NIR chemical imaging

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Cited by 32 publications
(10 citation statements)
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“…To support the development of RTRT of pharmaceutical tablets, research groups have made use of fast and non-destructive dissolution-prediction methods based on near infrared (NIR) [5][6][7][8] and Raman 7 spectroscopic techniques in combination with the use of process variables such as blender speed, feed frame speed, and compaction force followed by performing multivariate regressions (chemometric analyses) 5 . Other NIR methods have capitalised on the detection of strain 6 and chemical information of disintegrants 9 for predicting dissolution performance of tablets. Alternative methods that employ the use of magnetic resonance imaging techniques as well as different kinds of mathematical modelling methods to predict the dissolution of given drug substances from tablets and also to study the effect of process parameters on the dissolution profile of a drug from a tablet have been reported [10][11][12][13][14][15] .…”
Section: Introductionmentioning
confidence: 99%
“…To support the development of RTRT of pharmaceutical tablets, research groups have made use of fast and non-destructive dissolution-prediction methods based on near infrared (NIR) [5][6][7][8] and Raman 7 spectroscopic techniques in combination with the use of process variables such as blender speed, feed frame speed, and compaction force followed by performing multivariate regressions (chemometric analyses) 5 . Other NIR methods have capitalised on the detection of strain 6 and chemical information of disintegrants 9 for predicting dissolution performance of tablets. Alternative methods that employ the use of magnetic resonance imaging techniques as well as different kinds of mathematical modelling methods to predict the dissolution of given drug substances from tablets and also to study the effect of process parameters on the dissolution profile of a drug from a tablet have been reported [10][11][12][13][14][15] .…”
Section: Introductionmentioning
confidence: 99%
“…Anot her r R ec ent example of utilizing NIR was presented by Antonio and Maggio (2018) who linked polymorphic form I content of mefenamic acid with dissolution and thus showed that a NIR-PLS model may act as a val i d t ool t o est i mat e di ssol ut i on prof i l es of a commer ci al t abl et . Speci f i c met hodol ogy t o pr edi ct API di ssol ut i on based on di si nt egr ant chemi cal i nf or mat i on obt ai ned wi t h NI R chemi cal i magi ng i s descr i bed i n t he wor k of Yekpe et al . ( 2015) .…”
Section: Introductionmentioning
confidence: 99%
“…Drug release of immediate-release tablets is influenced by the solubility of the active pharmaceutical ingredient (API) [22,23], particle size distribution [24], granule size, and their arrangement [25,26,27]. In addition, it is well known that the drug release of the pharmaceutical immediate-release tablets can be influenced by the tablet porosity due to the change in disintegration behavior of tablet, i.e., tablet disintegration time increase with a decrease in tablet porosity, resulting in a slow water penetration into tablet [28,29].…”
Section: Introductionmentioning
confidence: 99%