Literature DB >> 21479750

Rapid particle size measurement using 3D surface imaging.

Ira Soppela1, Sari Airaksinen, Juha Hatara, Heikki Räikkönen, Osmo Antikainen, Jouko Yliruusi, Niklas Sandler.   

Abstract

The present study introduces a new three-dimensional (3D) surface image analysis technique in which white light illumination from different incident angles is used to create 3D surfaces with a photometric approach. The three-dimensional features of the surface images created are then used in the characterization of particle size distributions of granules. This surface image analysis method is compared to sieve analysis and a particle sizing method based on spatial filtering technique with nearly 30 granule batches. The aim is also to evaluate the technique in flowability screening of granular materials. Overall, the new 3D imaging approach allows a rapid analysis of large amounts of sample and gives valuable visual information on the granule surfaces in terms of surface roughness and particle shape.

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Year:  2011        PMID: 21479750      PMCID: PMC3134653          DOI: 10.1208/s12249-011-9607-0

Source DB:  PubMed          Journal:  AAPS PharmSciTech        ISSN: 1530-9932            Impact factor:   3.246


  12 in total

1.  Does a powder surface contain all necessary information for particle size distribution analysis?

Authors:  Niklas Laitinen; Osmo Antikainen; Jouko Yliruusi
Journal:  Eur J Pharm Sci       Date:  2002-12       Impact factor: 4.384

2.  New perspectives for visual characterization of pharmaceutical solids.

Authors:  Niklas Laitinen; Osmo Antikainen; Jukka Rantanen; Jouko Yliruusi
Journal:  J Pharm Sci       Date:  2004-01       Impact factor: 3.534

3.  Tablet film-coating with amylose-rich maize starch.

Authors:  Karin Krogars; Osmo Antikainen; Jyrki Heinämäki; Niklas Laitinen; Jouko Yliruusi
Journal:  Eur J Pharm Sci       Date:  2002-10       Impact factor: 4.384

4.  Characterization of particle sizes in bulk pharmaceutical solids using digital image information.

Authors:  Niklas Laitinen; Osmo Antikainen; Jouko Yliruusi
Journal:  AAPS PharmSciTech       Date:  2003-10-13       Impact factor: 3.246

5.  Controlling granule size by granulation liquid feed pulsing.

Authors:  Tero Närvänen; Tanja Lipsanen; Osmo Antikainen; Heikki Räikkönen; Jouko Yliruusi
Journal:  Int J Pharm       Date:  2008-02-09       Impact factor: 5.875

6.  Study growth kinetics in fluidized bed granulation with at-line FBRM.

Authors:  Xinhui Hu; John C Cunningham; Denita Winstead
Journal:  Int J Pharm       Date:  2007-07-03       Impact factor: 5.875

7.  Prediction of granule packing and flow behavior based on particle size and shape analysis.

Authors:  Niklas Sandler; David Wilson
Journal:  J Pharm Sci       Date:  2010-02       Impact factor: 3.534

8.  Evaluation of dynamic image analysis for characterizing pharmaceutical excipient particles.

Authors:  Weili Yu; Bruno C Hancock
Journal:  Int J Pharm       Date:  2008-06-23       Impact factor: 5.875

9.  A new rapid on-line imaging method to determine particle size distribution of granules.

Authors:  Tero Närvänen; Kari Seppälä; Osmo Antikainen; Jouko Yliruusi
Journal:  AAPS PharmSciTech       Date:  2008-02-05       Impact factor: 3.246

10.  In-line moisture measurement during granulation with a four-wavelength near infrared sensor: an evaluation of particle size and binder effects.

Authors:  J Rantanen; E Räsänen; J Tenhunen; M Känsäkoski; J Mannermaa; J Yliruusi
Journal:  Eur J Pharm Biopharm       Date:  2000-09       Impact factor: 5.571

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  3 in total

1.  Fast tablet tensile strength prediction based on non-invasive analytics.

Authors:  Anna Halenius; Satu Lakio; Osmo Antikainen; Juha Hatara; Jouko Yliruusi
Journal:  AAPS PharmSciTech       Date:  2014-03-18       Impact factor: 3.246

2.  Direct compression of cellulose and lignin isolated by a new catalytic treatment.

Authors:  Anna Penkina; Osmo Antikainen; Maija Hakola; Sirpa Vuorinen; Timo Repo; Jouko Yliruusi; Peep Veski; Karin Kogermann; Jyrki Heinämäki
Journal:  AAPS PharmSciTech       Date:  2013-07-19       Impact factor: 3.246

3.  Quetiapine Fumarate Extended-release Tablet Formulation Design Using Artificial Neural Networks.

Authors:  Esher Özçelik; Burcu Mesut; Buket Aksu; Yıldız Özsoy
Journal:  Turk J Pharm Sci       Date:  2017-11-20
  3 in total

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