In-Process Control of Direct Pelletisation in the Rotary Fluidised Bed Using NIR Spectroscopy

Radtke, Guido; Knop, Klaus; Lippold, B.

doi:10.1255/nirn.533

Cited by 9 publications

(3 citation statements)

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“…In the case of small or moderate batch volume, the mass reduction may also negatively affect the process course. NIR spectroscopy offers here a plausible alternative that is well tested in coating itself [10] and similar processes such as granulation and subsequent drying [11,12].…”

Section: In-line Monitoring Of Pellet Coating: Research Objectivesmentioning

confidence: 99%

In‐line analysis of a fluid bed pellet coating process using a combination of near infrared and Raman spectroscopy

Bogomolov

Engler

Melichar³

et al. 2010

Journal of Chemometrics

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Near infrared (NIR) and Raman spectroscopic analyzers applied through an immersion Lighthouse Probe (LHP) were used for simultaneous in-line monitoring of a fluid bed pellet coating process. Multivariate curve resolution analysis of data, collected from four pilot-scale batches, has shown that the two techniques deliver complementary information about the process and their combination may be synergistic. This data analysis enabled a much better understanding of some of the process observations and also gave some interesting insights into the best way to use the techniques themselves.PLS regression analysis of the product moisture and the quantity of coating material sprayed was performed using NIR and Raman data blocks both separately and in combination. The performance of method combination compared to individual techniques is analyzed and discussed.

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Section: In-line Monitoring Of Pellet Coating: Research Objectivesmentioning

confidence: 99%

In‐line analysis of a fluid bed pellet coating process using a combination of near infrared and Raman spectroscopy

Bogomolov

Engler

Melichar³

et al. 2010

Journal of Chemometrics

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“…Only a few papers using NIR in pelletization exist. Radtke et al (1999) described studies of moisture content measurement during matrix pellet manufacturing in a rotary fluid bed. Sandler et al (2005) investigated phase transitions occurring in nitrofurantoin and theophylline formulations during pelletization by extrusion-spheronization.…”

Section: Pelletizationmentioning

confidence: 99%

Near infrared spectroscopy in the development of solid dosage forms

Räsänen

Sandler

2007

Journal of Pharmacy and Pharmacology

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The use of near infrared (NIR) spectroscopy has rapidly grown partly due to demands of process analytical applications in the pharmaceutical industry. Furthermore, newest regulatory guidelines have advanced the increase of the use of NIR technologies. The non-destructive and non-invasive nature of measurements makes NIR a powerful tool in characterization of pharmaceutical solids. These benefits among others often make NIR advantageous over traditional analytical methods. However, in addition to NIR, a wide variety of other tools are naturally also available for analysis in pharmaceutical development and manufacturing, and those can often be more suitable for a given application. The versatility and rapidness of NIR will ensure its contribution to increased process understanding, better process control and improved quality of drug products. This review concentrates on the use of NIR spectroscopy from a process research perspective and highlights recent applications in the field.

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“…As a powerful analytical tool, near-infrared (NIR) spectroscopy has been gaining popularity during the past decade. Its applications can be found in many fields, including the food science, , the pharmaceutical industry, − and the analyses of biological and biomedical materials, , etc. In most cases, background of the NIR spectra is highly fluctuating, thus pretreatment is generally required.…”

Section: Introductionmentioning

confidence: 99%

Continuous Wavelet Transform Applied to Removing the Fluctuating Background in Near-Infrared Spectra

Shao

2004

J. Chem. Inf. Comput. Sci.

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A novel method based on continuous wavelet transform (CWT) was proposed as a preprocessing tool for the near-infrared (NIR) spectra. Due to the property of the vanishing moments of the wavelet, the fluctuating background of the NIR spectra can be successfully removed through convolution of the spectra with an appropriate wavelet function. The vanishing moments of a wavelet and the scale parameter are two key factors that govern the result of the background elimination. The result of its application to both the simulated spectra and the NIR spectra of tobacco samples demonstrates that CWT is a competitive tool for removing fluctuating background in spectra.

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In-Process Control of Direct Pelletisation in the Rotary Fluidised Bed Using NIR Spectroscopy

Cited by 9 publications

References 0 publications

In‐line analysis of a fluid bed pellet coating process using a combination of near infrared and Raman spectroscopy

In‐line analysis of a fluid bed pellet coating process using a combination of near infrared and Raman spectroscopy

Near infrared spectroscopy in the development of solid dosage forms

Continuous Wavelet Transform Applied to Removing the Fluctuating Background in Near-Infrared Spectra

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