Benjamin J. Westenberger

Screening of Heparin API by Near Infrared Reflectance and Raman Spectroscopy

Near infrared (NIR) reflectance and laser Raman spectra for a set of 69 heparin powder samples obtained from several foreign and domestic suppliers were measured. Both the NIR and Raman spectra of individual heparin API powder samples were correlated with sample compositions determined from response corrected relative peak areas of the capillary electropherograms of the samples using a partial least squares (PLS) regression model. Twenty-eight sample spectra were used to develop PLS models for the three major sample components; heparin, oversulfated chondroitin sulfate (OSCS) and glycosaminoglycans (GAGs). The PLS models were then used to successfully predict the compositions of 41 additional heparin samples. The success of these rapid, nondestructive technologies to identify contamination of heparin with OSCS demonstrates the potential of spectroscopy and chemometrics for screening of processed raw materials. These technologies are meant for screening purposes and not meant to replace either of the methods (capillary electrophoresis and NMR) currently required by USP and FDA.

Multivariate Calibration and Instrument Standardization for the Rapid Detection of Diethylene Glycol in Glycerin by Raman Spectroscopy

The transfer of a multivariate calibration model for quantitative determination of diethylene glycol (DEG) contaminant in pharmaceutical-grade glycerin between five portable Raman spectrometers was accomplished using piecewise direct standardization (PDS). The calibration set was developed using a multi-range ternary mixture design with successively reduced impurity concentration ranges. It was found that optimal selection of calibration transfer standards using the Kennard–Stone algorithm also required application of the algorithm to multiple successively reduced impurity concentration ranges. Partial least squares (PLS) calibration models were developed using the calibration set measured independently on each of the five spectrometers. The performance of the models was evaluated based on the root mean square error of prediction (RMSEP), calculated using independent validation samples. An F-test showed that no statistical differences in the variances were observed between models developed on different instruments. Direct cross-instrument prediction without standardization was performed between a single primary instrument and each of the four secondary instruments to evaluate the robustness of the primary instrument calibration model. Significant increases in the RMSEP values for the secondary instruments were observed due to instrument variability. Application of piecewise direct standardization using the optimal calibration transfer subset resulted in the lowest values of RMSEP for the secondary instruments. Using the optimal calibration transfer subset, an optimized calibration model was developed using a subset of the original calibration set, resulting in a DEG detection limit of 0.32% across all five instruments.

Gauge repeatability and reproducibility for accessing variability during dissolution testing: a technical note.

ConclusionsIn this study, the gauge R&R method was used to analyze sources of variability for the paddle apparatus (USP apparatus 2). An initial evaluation of gauge R&R dissolution testing results using the amount dissolved at 30 minutes for a 10-mg prednisone tablet showed no instrument or operator contributions to variability but did highlight some vessel differences within an instrument. Based on this finding, a new mechanical calibration step was developed to improve the performance of the measurement system.Gauge R&R analysis is useful for determining the sources of variability in a measurement system. In addition, the extensive characterization and variability knowledge obtained during gauge R&R testing of a product can be used to develop the mean and SD information necessary to set up an internal standard for dissolution testing.

Effects of Vessel Geometric Irregularity on Dissolution Test Results

Dissolution testing of pharmaceutical products is an important technique used extensively for both product development and quality control, but there are many variables that can affect dissolution results. In this study, the effect of the inner shape of standard 1-L dissolution vessels on drug dissolution results was investigated. The geometric dimensions and irregularities of commercially available vessels (obtained from four different manufacturers) were examined using a three-dimensional video-based measuring machine (VMM). The same analyst, dissolution test assembly, and experimental conditions were used for dissolution testing involving 10 mg of prednisone tablets (NCDA #2) with dissolution apparatus 2 (paddle). Mechanical calibration of the dissolution apparatus was performed prior to dissolution testing with each set of vessels. Geometric characteristics varied within and among the sets of vessels, but the overall averages and standard deviations of dissolution results (six vessels) showed no statistical significant differences among the vessel sets. However, some dissolution differences were noted when comparing individual vessels. With these types of comparisons, the vessel concentricity, sphericity, and radius of sphere were found to possibly influence the amount of prednisone dissolved, but flatness of vessel flange, cylindricity, and circularity showed no effect on dissolution results. The study shows that VMM is a technique that could be used to qualify dissolution vessels.