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Valid analytical measurements equipment qualification

Many of the technical requirements of the Standard are covered in Chapters 4 to 7. The analytical requirements, including choosing a method and method validation, are covered in Chapter 4. The other measurement requirements, such as calibration, traceability and equipment qualification, are dealt with in Chapter 5. Some of the general issues not covered elsewhere are mentioned in the following sections. It has already been mentioned that staff should be trained and proven to be competent to carry out the testing. This applies to permanent and contracted staff. The laboratory should have a job description for all members of staff. There are more stringent requirements on staff who are also able to provide customers with opinions or interpretation of the results. [Pg.228]

The information in this chapter applies specifically to the first element sample preparation. The sample preparation steps are usually the most tedious and labor-intensive part of an analysis. By automating the sample preparation, a significant improvement in efficiency can be achieved. It is important to make sure that (1) suitable instrument qualification has been concluded successfully before initiation of automated sample preparation validation [2], (2) the operational reliability of the automated workstation is acceptable, (3) the analyte measurement procedure has been optimized (e.g., LC run conditions), and (4) appropriate training in use of the instrument has been provided to the operator(s). The equipment used to perform automated sample preparation can be purchased as off-the-shelf units that are precustomized, or it can be built by the laboratory in conjunction with a vendor (custom-designed system). Off-the-shelf workstations for fully automated dissolution testing, automated assay, and content uniformity testing are available from a variety of suppliers, such as Zymark (www.zymark.com) and Sotax (www.sotax.com). These workstations are very well represented in the pharmaceutical industry and are all based on the same functional requirements and basic principles. [Pg.68]

Like all models, there are underlying assumptions. The main ones for analytical method validation include the areas of equipment qualification and the integrity of the calibration model chosen. If the raw analytical data are produced by equipment that has not been calibrated or not shown to perform reliably under the conditions of use, measurement integrity may be severely compromised. Equally, if the calibration model and its associated calculation methods chosen do not adequately describe the data generated then it is inappropriate to use it. These two areas are considered in some detail in Chapter 8. [Pg.4]

Spectroscopic methods can provide fast, non-destructive analytical measurements that can replace conventional analytical methods in many cases. The non-destructive nature of optical measurements makes them very attractive for stability testing. In the future, spectroscopic methods will be increasingly used for pharmaceutical stability analysis. This chapter will focus on quantitative analysis of pharmaceutical products. The second section of the chapter will provide an overview of basic vibrational spectroscopy and modern spectroscopic technology. The third section of this chapter is an introduction to multivariate analysis (MVA) and chemometrics. MVA is essential for the quantitative analysis of NIR and in many cases Raman spectral data. Growth in MVA has been aided by the availability of high quality software and powerful personal computers. Section 11.4 is a review of the qualification of NIR and Raman spectrometers. The criteria for NIR and Raman equipment qualification are described in USP chapters <1119> and < 1120>. The relevant highlights of the new USP chapter on analytical instrument qualification <1058> are also covered. Section 11.5 is a discussion of method validation for quantitative analytical methods based on multivariate statistics. Based on the USP chapter for NIR <1119>, the discussion of method validation for chemometric-based methods is also appropriate for Raman spectroscopy. The criteria for these MVA-based methods are the same as traditional analytical methods accuracy, precision, linearity, specificity, and robustness however, the ways they are described and evaluated can be different. [Pg.224]


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