Measurement of the percentage volume particle size distribution of powdered microcrystalline cellulose using reflectance near-infrared spectroscopyElectronic supplementary information (ESI) available: Particle size and spectral data. See http://www.rsc.org/suppdata/an/b3/b307263k/

Abstract

This is the first reported method for determining the percentage volume particle size distribution of a powder (microcrystalline cellulose) by near-infrared (NIR) reflectance spectroscopy. A total of 113 samples of powdered microcrystalline cellulose were used from six different commercially available grades, with different moisture contents (range: 0.9-4.8% m/m). NIR reflectance measurements of these samples were made in narrow soda glass vials. Reference particle size data for the samples were acquired by laser diffraction. The NIR data were then calibrated to measure particle size by partial least squares regression. The effects of a range of different NIR data pre-treatments on calibration and prediction precision were investigated. Overall, simple absorbance data were found to produce regression models with the best predictive ability (root mean square error of prediction = 0.90%). The method was also found to be insensitive to moisture content.

The near-infrared (NIR) spectra of powdered calcite in the 3–121 μm mode particle size range

“…Utilizing near-infrared (NIR) spectroscopy as a tool to assess particle sizes of powdered materials in general and carbonate minerals in particular spans many fields of scientific endeavour including planetary exploration [1][2][3][4]. It is generally accepted that NIR bands in the 4000-6000cm -1 (2.5-1.67μm) region stem from overtones and combinations of the different internal modes of the [CO 3 2-] anion although comprehensive assignments of NIR bands are incomplete [1,2,5,6] and, there is a paucity of documented experimental accounts of the NIR spectral response from carbonate mineral powders as a function of grain size.…”

Mixing of Particulate Material Studied by near Infrared Spectroscopy

“…It is clear that absorbance values gave lower root mean square errors of prediction (RMSEPs) and bias than f(R). O'Neil et al 5 also reported that, for a particle size distribution of microcrystalline cellulose, absorbance values gave the best performance and the lowest RMSEP when compared with other pre-processing techniques.…”

Theoretical Treatment of Particle-Size Measurements by Applying Attenuated-Total-Reflection Technique and Its Comparisons with Experimental Results

“…13 Further, near-infrared spectroscopy has recently been applied to the particle-size determination by using a simultaneous chemoinfometric calibration method, which showed its usefulness. 14,15 No paper, however, was reported concerning attempts of the particle-size determination by using the ATR technique in the infrared region other than ours. In the present work, theoretical treatments of this particle-size-determination method by applying the ATR technique were stated, and based on these, the ATR-spectral intensities were calculated as functions of some variables, such as the sample amount on the reflection surface and the particle size for various choices of the experimental parameters.…”