Real-time monitoring of powder mixing in a convective blender using non-invasive reflectance NIR spectrometry

Luke J. Bellamy, A. Nordon, D. Littlejohn

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

A convective blender based on a scaled down version of a high shear mixer-granulator was used to produce binary mixtures of microcrystalline cellulose (Avicel) and aspirin, citric acid, aspartame or povidone. Spectra of stationary Avicel or aspirin powder provided an indication of the information depth achieved with the NIR spectrometer used in the study, and confirmed previously reported effects of particle size and wavenumber. However, it was demonstrated that for 10% w/w aspirin in Avicel, the information depth at the C-H second overtone of aspirin (about 2.4 mm) was unaffected by changes in the particle size of aspirin and was determined by the major component. By making non-invasive NIR measurements as powders were mixed, it was possible to illustrate differences in the mixing characteristics of aspirin, citric acid, aspartame or povidone with Avicel, which were related to differences in the cohesive properties of the particles. Mixing profiles based on second overtone signals were better for quantitative analysis than those derived from first overtone measurements. It was also demonstrated that the peak-to-peak noise of the mixing profile obtained from the second overtone of aspirin changed linearly with the particle size of aspirin added to Avicel. Hence, measurement of the mixing profile in real time with NIR spectrometry provided simultaneously the opportunity to study the dynamics of powder mixing, make quantitative measurements and monitor possible changes in particle size during blending.
LanguageEnglish
Pages58-64
Number of pages7
JournalAnalyst
Volume133
Issue number1
Early online date18 Oct 2007
DOIs
Publication statusPublished - 2008

Fingerprint

Powders
Spectrometry
Aspirin
spectrometry
Spectrum Analysis
reflectance
Cellulose
Particle size
particle size
Monitoring
monitoring
Particle Size
citric acid
Citric acid
Aspartame
Povidone
Granulators
Citric Acid
Binary mixtures
quantitative analysis

Keywords

  • near infrared spectroscopy
  • analytical technology
  • particle size determination
  • effective sample size
  • homogeneity
  • probe

Cite this

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abstract = "A convective blender based on a scaled down version of a high shear mixer-granulator was used to produce binary mixtures of microcrystalline cellulose (Avicel) and aspirin, citric acid, aspartame or povidone. Spectra of stationary Avicel or aspirin powder provided an indication of the information depth achieved with the NIR spectrometer used in the study, and confirmed previously reported effects of particle size and wavenumber. However, it was demonstrated that for 10{\%} w/w aspirin in Avicel, the information depth at the C-H second overtone of aspirin (about 2.4 mm) was unaffected by changes in the particle size of aspirin and was determined by the major component. By making non-invasive NIR measurements as powders were mixed, it was possible to illustrate differences in the mixing characteristics of aspirin, citric acid, aspartame or povidone with Avicel, which were related to differences in the cohesive properties of the particles. Mixing profiles based on second overtone signals were better for quantitative analysis than those derived from first overtone measurements. It was also demonstrated that the peak-to-peak noise of the mixing profile obtained from the second overtone of aspirin changed linearly with the particle size of aspirin added to Avicel. Hence, measurement of the mixing profile in real time with NIR spectrometry provided simultaneously the opportunity to study the dynamics of powder mixing, make quantitative measurements and monitor possible changes in particle size during blending.",
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Real-time monitoring of powder mixing in a convective blender using non-invasive reflectance NIR spectrometry. / Bellamy, Luke J.; Nordon, A.; Littlejohn, D.

In: Analyst, Vol. 133, No. 1, 2008, p. 58-64.

Research output: Contribution to journalArticle

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