Whole Tablet Measurements Using the Spectrum One NTS Tablet Autosampler System
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
A P P L I C A T I O N Whole Tablet Measurements Using the Spectrum One NTS Tablet Autosampler System N O T E Introduction individual assays by HPLC. The er speeds and also provides more standard deviation of assay is sample matrix information. It is Recent advances in NIR technology intended to provide an idea of also readily automated thus pro- have changed the ways in which the uniformity of the blend. This viding the potential for more both the pharmaceutical industry measurement is required before and/or faster tablet testing using and the regulators view the batch release and can cause seri- less specialized operators. More current approaches to tablet ous bottlenecks, especially if out- efficient, more informative testing in manufacturing. of-specification results are gener- measurement in this area is a In 2001, among the FDA’s top 10 ated. The HPLC technique used is key factor in delivering more reasons for product recall were slow, requires skilled analysts, process understanding; an problems with sub-potency and provides little or no information objective pursued by industry tablet dissolution. In addition, on the matrix and destroys the and regulators alike. recent cases of cGMP violations sample. Analysts are actively seeking faster, non-destructive This note describes an example have highlighted issues in tablet methods which can provide more showing the application of NIR manufacturing. One area where information on the sample and tablet transmission measurements the industry is seeking to improve are capable of being used by less to determine the active content of its processes is in the blending experienced operators. whole tablets area. After tablet pressing, measurement of uniformity of NIR now offers the possibility content usually involves taking of performing non-destructive, a sample (typically 10 tablets) whole tablet testing at much high- from the batch and performing www.perkinelmer.com
Method integration software (AssureID™ version 2) provides simple The aim of the study was to present construction of methods which can whole, coated tablets to the analyser be easily readied for effective to determine active level, then to push-button operation in the plant perform a series of analyses on a (Figure 3). Given the method is batch of tablets to provide informa- generally used by users in a tion on the uniformity of the batch. production environment numerous Using the system described below, system design features in both the samples are presented software and hardware are oriented horizontally to the spectrometer and towards more robust methods – from a masked beam illuminates each sample presentation to the software sample with a spot diameter of workflows designed to minimize the 6 mm. The power of the beam at the Figure 1: Tablet holder for likelihood of operational errors. sample position is relatively low NIR transmission measurements. (ca 200 mW) in order to avoid unwanted heating problems in the tablet, which could interfere with results. The tablets to be tested were 350 mg in weight, ca 12 mm in length and ca. 5-mm thick. Using the NIR transmission approach, it is important to present the sample to the instrument in such a way as to minimize stray radiation from the instrument passing around the side of the sample and going onto the detector. To overcome this potential problem, special custom tablet holders may be fabricated to ensure a tight fit between tablet holder and tablet. An illustration of the sample holders is shown in Figure 1. The Spectrum™ One NTS FT-NIR spectrometer was equipped with the Tablet Autosampler sampling system. Figure 2: Spectrum One NTS tablet autosampler system. The system includes detectors for both transmission and reflectance measurement, and an automated sample wheel for batch measurements (Figure 2). Dedicated detectors allow for optimized operation for this potentially demanding measurement. The method development and system Figure 3: AssureID software for tablet analysis automation.
Calibration with 68 independent samples, For the batch calculations, 10 tablets spanning the same concentration were placed into the tablet holders When setting up the system for range (validation set) were used. which in turn were mounted onto analysis, it is necessary to calibrate Calibration details are shown the wheel. It is also advisable to the system using a training set of in Table 1. generate a tablet presentation SOP samples which span the target assay to ensure correct positioning of the value – usually 80-120% of target When the primary property of tablets into the autosampler between value is chosen. This can sometimes interest is chemical composition different operators. The AssureID be the slowest part of the system such as active content, there are software allows users to display implementation as it can be difficult some steps that can be taken to their own SOP prior to analysis. to obtain samples which are so improve the robustness of the This can contain product-specific "off-spec," especially for mature method to operator and/or sampling information which is linked to that processes. Hence it is often most variability. For example, the choice particular method. effective to implement this technology of using derivative spectra for the earlier in the product lifecycle in the analysis can considerably improve formulation development or scale-up the robustness of the calibration with Results and Discussion stages when a wider range of respect to sampling variations such calibration tablets is more likely For this analysis, batches of 10 as tablet height position and for this to be at hand. samples were analysed using the method it was found that a smoothed PLS1 method outlined above and second derivative approach worked The target concentration for this simple batch statistics including well. It is a very simple operation product was 20 mg per 350-mg the mean assay value, standard in Quant+ to switch-on various tablet. To generate the calibration, deviation, and minimum and forms of data pre-treatment and to samples ranging from 16-mg content maximum batch values were view the effects on the calibration to 24-mg content were scanned and calculated and output to the reports performance. The calibration model the Quant+ quantitative software and secure database. The database used and certain sampling precau- application used to generate the cali- may be queried within the AssureID tions are key factors in determining bration equation relating the spectral application to show result trends, the ultimate robustness of the changes to the concentration values. revealing important information method in everyday use and, as a The Quant+ software offers a full about the process. An example plot rule, extra care taken at this stage suite of diagnostics to help optimise is shown in Figure 4. A typical is easily paid back in terms of the the calibration before incorporating output from a query is shown in the reliability of the final method. the model into the analysis figure below. Individual records may workflow. For this study, it was Relevant instrument data collection also be examined, tracing calculated found adequate to use a sample parameters for optimum results for results to associated instrument training set, a calibration set of this sample set are shown in Table 2. conditions, spectra and system 20 samples and to test the model check results, Figure 5. Table 2: Instrument details for tablet Table 1: Quantitative calibration details. assay measurement. Number of calibration samples 20 Scan range/cm-1 12000-8500 Number of validation samples 68 Resolution/cm-1 16 Calibration algorithm Partial least Scan time/per sample 60 sec squares (PLS1) Scan time per batch 10 min Data pre-processing 2nd derivative, Apodization Strong 25 point smooth width Background reference Open beam Number of PLS factors 2 Standard error of calibration (20 samples)/mg 0.8 Standard error of prediction (60 samples)/mg 0.9
This kind of display provides useful As the technique becomes more samples. In this case changes in the information on a number of important accepted by the industry, it is spectra are related directly to some process issues, assisting the overall expected that more "calibration-free" variability in the process. For understanding of the process: approaches will be adopted in tablet example, the standard deviation of analysis. Such methods skip the step an isolated active peak height may ■ Potency drift during the run of the of developing a model relating the be related directly to uniformity of tablet press spectral changes to properties of a batch thereby eliminating the need ■ interest for a pre-analysed training to calibrate using samples which are Potency variability between runs set of samples and applying the already beyond the bounds of normal on a tablet press model to predict properties for the process variability. This approach ■ Potency variability between tablet presses ■ Potency variability with differing blending conditions ■ Direct comparison with HPLC assay values. In general due to the much faster and more representative NIR analysis it is possible to obtain trend plots with far more data points than the corresponding HPLC trend plots. This kind of information is beneficial not only from the point of view of improved understanding of the blending/pressing from the point of view of potency, but can be extended to provide similar information on other ingredients, and in favourable cases some physical properties such as coating thickness and hardness – with no significant impact of on batch analysis time. Figure 4: Trend display showing variation of potency within a batch. Next, it is envisaged tablet analysis will be extended to the following: ■ Other matrix components ■ Physical properties such as hardness and/or coating thickness ■ Powder blends before tablet pressing. This will be possible by extracting sample from the blender using a sample thief and pressing the blend into wafers prior to NIR transmission analysis. ■ Other uncoated tablets where moisture will be measured in addition to active. Moisture will be measured by reflectance and active content by transmission. Figure 5: Tablet analysis database display.
may be easier for some products, based approach worked better. The Increasing scrutiny from the where the active absorption in the method can be run in parallel with regulators and the drive for spectrum is very clearly differentiated the conventional HPLC method improved process understanding will from the other ingredients in the during the validation stage. ensure the technique will become spectrum. For other products, more widespread. The however, the distinction is less clear anticipated development of official making it necessary to introduce Conclusion guidelines for setting up and testing more sophisticated data analysis The use of NIR transmission for NIR transmission methods in a techniques. Figure 6 shows the NIR whole tablet analysis can effectively similar manner to the NIR reflectance transmission spectra of two different improve the efficiency of the tablet methods will be another factor in the products. In Figure 6a, the active pressing step by allowing faster growth of this exciting development. band is not overlapped with those feedback into the process than the of the other ingredients and simple As the pharmaceutical industry conventional HPLC method. NIR can band height measurements can be begins to realize the benefits of be an order of magnitude faster. correlated directly with the potency. the new technologies for NIR testing, More analytical information per In Figure 6b, the active band is it will then be just a matter of time sample and more tablet analyses overlapped with the absorption of before NIR becomes established as a in a given time greatly increases the other ingredients and for this standard method used as commonly process understanding. particular product, a chemometrics- as mid-IR in pharmacopeial methods. Figure 6a: NIR transmission spectra where active absorp- Figure 6b: NIR transmission spectra where active tion is separated from other components in the matrix. absorption is overlapped with other ingredients. The Spectra from 0-, 10-, 50-, 200-mg strength tablets. two traces show spectra from tablets of two strengths, ca 5 and 10% active, where the absorption due to the active indicated.
PerkinElmer Life and Analytical Sciences 710 Bridgeport Avenue Shelton, CT 06484-4794 USA Phone: (800) 762-4000 or (+1) 203-925-4602 www.perkinelmer.com © 2003 PerkinElmer, Inc. All rights reserved. PerkinElmer is a registered trademark and AssureID and Spectrum are trademarks of PerkinElmer, Inc. All trademarks depicted are the property of their respective holders or owners. PerkinElmer reserves the right to change this document at any time and disclaims liability for editorial, pictorial, or typographical errors. 006832_02 070300 Printed in USA
You can also read