Selecting parameters and limits for equipment operational qualification

While operational qualification (OQ) is a well-established term within equipment qualification, users of equipment often become unsure when it comes to implementation. The biggest problem is how to select procedures and acceptance criteria. Should these be the vendor's specifications or should the users define their own limits, and, if so, how? Should all instruments of the same type have the same values or should these be optimized for each individual instrument? This article will provide an overall strategy and specific examples for HPLC on how to select procedures and acceptance limits that are based on efficient use of resources, on practicality and on the intended use of the equipment.     

The development and application of guidance on equipment qualification of analytical instruments

 This paper describes the development of guidance for the equipment qualification (EQ) of analytical instruments. EQ is a formal process that provides documented evidence that an instrument is fit for its intended purpose and kept in a state of maintenance and calibration consistent with its use.     

气相色谱仪验证要点

介绍分析仪器验证的基本概念和主要内容。总结了气相色谱仪验证中设计确认、安装确认、运行确认和性能确认的验证过程和要点,详细介绍了验证内容、具体项目、参考指标、参与人员、时间频次和要点等内容,指出了气相色谱仪验证需要注意的问题,提出了气相色谱仪验证工作的改进建议,为气相色谱仪器验证提供技术参考。     

Analytical instrument qualification in capillary electrophoresis

Capillary electrophoresis (CE) is a well-established and frequently used technique in the pharmaceutical industry. Therefore an appropriate analytical instrument qualification (AIQ) is required for quality assurance. AIQ forms the basis of a quality management followed by analytical method validation, system suitability tests (SSTs) and quality control checks. Two parts of the AIQ, namely the operational qualification (OQ) and the performance qualification (PQ) are of particular interest in the daily routine of the laboratory. A new concept for OQ and PQ was developed to assure the correct function of a CE system. The significance of each parameter, possible test methods as well as acceptance criteria will be presented and discussed in detail. Especially temperature adjustment by the cooling system and the voltage supply must be tested for accurate and precise operation. The detector noise, wavelength accuracy and detector linearity have to be checked as well. Finally, the injection linearity, accuracy and precision need to be qualified. The proposed set of qualification procedures is easy to implement and was already tested on five CE instruments from three different manufacturers. A time- and cost-saving continuous PQ was derived, using results from method-specific SSTs and some additional experiments. This holistic concept continuously surveys the most relevant parameters, hence assuring the suitability of the used instruments and decreasing their downtimes.     

色谱类分析仪器性能确认用标准物质的筛选

分析仪器验证是制药、食品、环境等多个行业实验室质量管理的重点,为解决我国色谱类分析仪器验证评价体系中缺乏统一标准物质的问题,提出了筛选性能确认行业推荐用标准物质的原则。通过分析不同行业色谱类分析仪器标准物质使用情况和国家标准及有证标准物质的发布现状,以筛选原则为指导,筛选出93种高效液相色谱性能确认用标准物质。为保证分析仪器的稳定性和可靠性提供了标准依据。     

Quality assurance and instrumentation

 The quality process for commercial analytical equipment starts with the selection of the vendor. It is recommended that vendors be selected who are recognized as having quality processes in place for instrument design, development, manufacturing, testing, service, and support, for example, ISO 9001 registration. When the instrument arrives in the laboratory, the installation process should follow well-documented procedures. This includes a visual inspection that the instrument is not damaged and checking that the instrument, documentation and accessories such as cables and tubings are complete. Before the instrument is used it should be verified that it meets functional and performance specification. During operation the instruments should be periodically inspected and tested, verified to meet performance, and calibrated. The instrument should be labeled with the calibration status, indicating the dates of the last successful and the next performance verification and calibration. Defective instruments should be removed from the testing area or should at least be labeled as being "out of order." Received 23 August 1995 Accepted 6 September 1995     

Validation of analytical methods involved in dissolution assays: Acceptance limits and decision methodologies

Dissolution tests are key elements to ensure continuing product quality and performance. The ultimate goal of these tests is to assure consistent product quality within a defined set of specification criteria. Validation of an analytical method aimed at assessing the dissolution profile of products or at verifying pharmacopoeias compliance should demonstrate that this analytical method is able to correctly declare two dissolution profiles as similar or drug products as compliant with respect to their specifications. It is essential to ensure that these analytical methods are fit for their purpose. Method validation is aimed at providing this guarantee. However, even in the ICHQ2 guideline there is no information explaining how to decide whether the method under validation is valid for its final purpose or not. Are the entire validation criterion needed to ensure that a Quality Control (QC) analytical method for dissolution test is valid? What acceptance limits should be set on these criteria? How to decide about method's validity? These are the questions that this work aims at answering. Focus is made to comply with the current implementation of the Quality by Design (QbD) principles in the pharmaceutical industry in order to allow to correctly defining the Analytical Target Profile (ATP) of analytical methods involved in dissolution tests. Analytical method validation is then the natural demonstration that the developed methods are fit for their intended purpose and is not any more the inconsiderate checklist validation approach still generally performed to complete the filing required to obtain product marketing authorization.     

Problems of validation of computerised instruments for accredited chemical laboratories

 Some problems of validation of computerised instruments are reviewed briefly, taking essential standards and guides into account. The significant role of certified standard reference materials is underlined. An attitude of suppliers towards the validation of instruments is presented, and producers' responsibilities and obligations are discussed. The "black-box" concept is recommended as a preliminary step for the validation of computerised instruments. Two examples for gel permeation chromatography are given that illustrate a bad manufacturer's practice (BMP) and good manufacturer's practice (GMP). In the case of BMP, a need is expressed for a guide and for regulations that should be implemented into the quality assurance system. It has been proposed that the EURACHEM/VAM draft of guidance for qualification/validation of instruments should be amended by incorporating the "black-box" approach as a preliminary procedure for validation of computerised instruments, a retrospective validation procedure if the need for current validation was not foreseen or not specified, and a procedure (or selection rules) for qualification of the supplier. Moreover, the mechanisms of inspection to control the observance of the standardised rules and commonly recognised recommendations should also be considered by international quality organisations. Received: 19 November 1996 · Accepted: 20 March 1997     

Automated chromatography in research — a link between laboratory and process analysis

The purpose of pilot plants is to collect data at minimal cost. The analyses required must be cost-effective, fast, flexible and constantly available. Neither central analytical laboratories nor peocess analyzers are suitable for the purpose. The polarization of laboratory analysis and process analysis is discussed and ad-hoc instrumental systems for pilot plants are described. The on-line monitoring equipment is constructed from commercially available instruments or parts for continuous use attended by the plant operator or laboratory staff responsible for optimizing the process. These on-line methods (mainly chromatographic) are based on proven methods of laboratory analysis. Used equipment can be returned to the research laboratory. The recommended mode of action has the advantage that analytical experience is gained as the pilot develops and is ultimately used for the production plant.     

A case study in the practical estimation of measurement uncertainty

This case study is written for analytical laboratories, in order to give support to the implementation of the concept of measurement uncertainty for routine measurements. The aim is to provide a practical, understandable and common way of performing measurement uncertainty calculations, based mainly on pre-existing quality control and validation data. Practical examples taken directly from environmental laboratory monitoring are presented and explained. However, the approach is very general and should be applicable to most testing laboratories in the chemical field. Following the protocol of evaluation illustrated in the case study, it is possible to ensure that most relevant uncertainty components associated with the method are covered. Contributions associated with sampling, homogenisation, sub-sampling, and so on, are, however, excluded.     

Automation and validation of HPLC-systems

Summary The automation of chromatographic systems is of increasing interest to industry and research laboratories in routine applications. Besides potentially saving time or making better use of available instrumentation, automation also improves the quality of results by producing more precise and more reproducible HPLC data. The need for the validation of methods and qualification of instruments is increasingly recognised in order to ensure compliance with legal requirements (e.g. in the pharmaceutical industry) and to ensure the reliability of analytical results. Possibilities and requirements for automated HPLC systems are elaborated. Emphasis is placed on defining the goals of validation and on discussing different aspects of the validation of LC methods, system suitability tests, ruggedness of methods and the transfer of LC methods from laboratory to laboratory. Adequate strategies of HPLC method development provide very useful information on the validation and ruggedness of LC methods.     

Nanostructured substrates for portable and miniature SPR biosensors

Surface plasmon resonance (SPR) biosensing has matured into a valuable analytical technique for measurements related to biomolecules, environmental contaminants, and the food industry. Contemporary SPR instruments are mainly suitable for laboratory-based measurements. However, several point-of-measurement applications would benefit from simple, small, portable and inexpensive sensors to assess the health condition of a patient, potential environmental contamination, or food safety issues. This Trend article explores nanostructured substrates for improving the sensitivity of classical SPR instruments and nanoparticle (NP)-based colorimetric substrates that may provide a solution to the development of point-of-measurement SPR techniques. Novel nanomaterials and methodology capable of enhancing the sensitivity of classical SPR sensors are destined to improve the limits of detection of miniature SPR instruments to the level required for most applications. In a different approach, paper or substrate-based SPR assays based on NPs, are a highly promising topic of research that may facilitate the widespread use of a novel class of miniature and portable SPR instruments.     

Method validation and qualification of instruments for atomic spectrometry

This work describes the analytical procedures for atomic absorption and inductively coupled plasma (ICP) techniques that have to be used in order to obtain a license to sell drugs in the USA. The qualification of atomic absorption spectrometers and ICP instruments is described. The method validation characteristics, e.g., accuracy, precision, linearity, range, detection limits, and quantification are discussed. The time involved and the quality of documentation are pointed out. The consequences for laboratory personnel and operating costs are also discussed.     

Validation and qualification: the fitness for purpose of mass spectrometry-based analytical methods and analytical systems

The context of validation for mass spectrometry (MS)-based methods is critically analysed. The focus is on the fitness for purpose depending on the task of the method. Information is given on commonly accepted procedures for the implementation and acceptance of analytical methods as ‘confirmatory methods’ according to EU criteria, and strategies for measurement. Attention is paid to the problem of matrix effects in the case of liquid chromatography-mass spectrometry-based procedures, since according to recent guidelines for bioanalytical method validations, there is a need to evaluate matrix effects during development and validation of LC-MS methods “to ensure that precision, selectivity and sensitivity will not be compromised”. Beneficial aspects of the qualification process to ensure the suitability of the MS analytical system are also evaluated and discussed.     

Teaching of process analytical chemistry

In the teaching of analytical chemistry for chemical engineering students it is essential today to teach the chemical analysis of dynamic systems, not only in the process control of the modern technological systems, where the control of composition or structure of different material streams is necessary, but also in all other instances where analysis, decision and intervention follow each other, forming a closed cycle. Teaching can be made effective if students already have a knowledge of the basic disciplines (including analytical chemistry). The schedule of the teaching programme should include the mathematical statistical treatment of process signals, quality of the signals, signal-improvement methods, characteristics of instruments, calibration and an introduction to sensors, analysers suitable for continuous or periodical measurements and local area networks. As practical exercizes an apparatus for investigation of the dynamic properties of a thermoanalytical detector system, a computer program for simulating process variables and the control loop including the measuring system are presented.     

Accreditation of calibration laboratories to normative documents: diversity or standardization

Calibration of measuring equipment is conducted by following some normative or applicable documents such as standards, manufacturer manuals and instructions, technical orders issued by defense organizations, or scientific papers. An accreditation body provides its recognition to the calibration laboratories by evaluating their technical competence and their compliance with the quality requirements of ISO/IEC 17025. The accreditation body must have defined criteria in order to evaluate different calibration methods which should ensure that the laboratories are performing the calibration in a technically competent manner when they are fully or even only partially based on the relevant reference documents. A discussion with different points of view about choosing the criteria, as well as the Israel Laboratory Accreditation Authority (ISRAC) policy on this issue, are presented.Presented at the 2nd International Conference on Metrology – Trends and Applications in Calibration and Testing Laboratories, November 4–6, 2003, Eilat, Israel.     

The development and application of guidance on EQ of analytical instruments: High performance liquid chromatography

 This paper describes the development and application of guidance on EQ (EQ) of high performance liquid chromatography instruments. EQ is a formal process that provides documented evidence that an instrument is fit for its intended purpose and kept in a state of maintenance and calibration consistent with its use.     

Empirical versus modelling approaches to the estimation of measurement uncertainty caused by primary sampling

Measurement uncertainty is a vital issue within analytical science. There are strong arguments that primary sampling should be considered the first and perhaps the most influential step in the measurement process. Increasingly, analytical laboratories are required to report measurement results to clients together with estimates of the uncertainty. Furthermore, these estimates can be used when pursuing regulation enforcement to decide whether a measured analyte concentration is above a threshold value. With its recognised importance in analytical measurement, the question arises of 'what is the most appropriate method to estimate the measurement uncertainty?'. Two broad methods for uncertainty estimation are identified, the modelling method and the empirical method. In modelling, the estimation of uncertainty involves the identification, quantification and summation (as variances) of each potential source of uncertainty. This approach has been applied to purely analytical systems, but becomes increasingly problematic in identifying all of such sources when it is applied to primary sampling. Applications of this methodology to sampling often utilise long-established theoretical models of sampling and adopt the assumption that a 'correct' sampling protocol will ensure a representative sample. The empirical approach to uncertainty estimation involves replicated measurements from either inter-organisational trials and/or internal method validation and quality control. A more simple method involves duplicating sampling and analysis, by one organisation, for a small proportion of the total number of samples. This has proven to be a suitable alternative to these often expensive and time-consuming trials, in routine surveillance and one-off surveys, especially where heterogeneity is the main source of uncertainty. A case study of aflatoxins in pistachio nuts is used to broadly demonstrate the strengths and weakness of the two methods of uncertainty estimation. The estimate of sampling uncertainty made using the modelling approach (136%, at 68% confidence) is six times larger than that found using the empirical approach (22.5%). The difficulty in establishing reliable estimates for the input variable for the modelling approach is thought to be the main cause of the discrepancy. The empirical approach to uncertainty estimation, with the automatic inclusion of sampling within the uncertainty statement, is recognised as generally the most practical procedure, providing the more reliable estimates. The modelling approach is also shown to have a useful role, especially in choosing strategies to change the sampling uncertainty, when required.     

Quality assurance in biological monitoring of environmental exposure to pollutants: from reference materials to external quality assessment schemes

The presence of chemicals in the environment is a matter of concern in that it poses potential health risks. At present, exposure to toxic chemicals and their biological and biochemical effects can be better estimated by biological monitoring, through the systematic collection of specimens from potentially exposed humans. Biological monitoring of human exposure to environmental pollutants is hampered by the difficulty to assess data reliability. As a consequence, the validity of biological monitoring should depend on the strict implementation of a quality assurance (QA) program, which includes a series of procedures aiming to ensure that laboratory results meet defined standards of quality and are reliable. For the validation and monitoring of methods’ performance, to ensure the trueness of measurements and to warrant the traceability to international standards, reference materials (RMs) and certified reference materials should be used. Internal quality control and external quality assessment (EQA) are part of overall QA and are carried out to verify that analytical errors are compatible with the specific requirements or needs of the user. In particular EQA schemes (EQAS) allow to test independently the analytical performance of participating laboratories. In the last decades, increasing concern has been raised by urban air pollution; lead and benzene, two gasoline components released by motor vehicle exhausts, are known to be toxic to humans. For biological monitoring of lead exposure of the general population, screening campaigns, utilizing lead in blood as a biomarker, have been carried out since the 1970s. Strict strategies were adopted to ensure data comparability, including the preparation of RMs, the organization of EQAS and the cross-exchange and analysis of blood samples between laboratories. Biological monitoring of benzene exposure could be carried out by means of various biomarkers such as benzene in blood and benzene, trans,trans-muconic acid (t,t-MA) and S-phenylmercapturic acid (S-PMA) in urine. At present, few RMs and EQAS are available for these biomarkers. A pilot EQAS for t,t-MA in urine, adopted to assess the reliability of data regarding benzene exposure, has been organized and carried out between 1996 and 1997 in Italy. From the accrued experience, it clearly emerges the importance of strategies designed to guarantee the quality of biological monitoring data. The use of RMs and the participation in EQAS are highly recommended in order to improve the global performance of methods and laboratories involved in biological monitoring.     

New tools: Expert systems for uncertainty budgets

An important part of quality assurance in any analytical laboratory is the production of comprehensive results integrating uncertainty measurements. Many testing laboratories face the problem that the expenditure required to evaluate small uncertainties (high precision and high accuracy) is often uneconomic. In most cases an uncertainty of high reliability has to be calculated from only a few data (one calibration, few replications, etc.). This problem can be solved by an expert system. To achieve this the analytical procedure has to be structured into a dialouge and divided into parts. The uncertainty has to be calculated for each part of the procedure. Addition of the individual uncertainties results in the combined and expanded uncertainty. During the dialouge the system should advise the analyst how to get an efficient and effective calculation of uncertainty. All calculations, mathematical and statistical procedures have to be surveyable but running the system should not be too time consuming for economic reasons. Within the scope of the EURECA-project initiated by the Eidgenössische Materialprüfungs- und Forschungsanstalt (EMPA), St. Gallen, Switzerland, expert system software is being developed in cooperation with other research institutes and manufacturers of analytical instruments. Using this software it will be possible to calculate the uncertainty for analytical procedures such as titration, atomic emission spectrometry (ICP-OES), atomic absorption spectrometry (AAS) and gas- and liquid chromatography (GC, HPLC).