Quality assurance in research laboratories

During the last decade, it has become increasingly important that researchers demonstrate that research is conducted to the highest standards. The implementation of quality assurance for research laboratories will enable all fields of research and development to be judged impartially. There are no specific standards for research laboratories but where possible, existing standards can be adapted. This review is structured around two approaches. The first considers research to be a logical extension of testing, and it is assumed that testing standards can be applied methodically to each step in a research project. The second advocates a flexible approach, with research-specific criteria for assessing quality. The important papers published on this topic have been reviewed. The conclusions are that the general quality management approach, encompassed by the ISO 9000 series of standards with the emphasis on customer satisfaction and ‘fitness for purpose’, is suitable for implementing quality assurance in research laboratories.     

Quality assurance in research and development: an insoluble dilemma?

The implementation of quality elements in research and development is a hot issue, still under discussion and development. In recent years much progress has been made in the development of effective proposals. However there are still problems and misunderstandings on how to apply quality assurance in research and development. This work clarifies these issues, mainly caused by the application of formal standards for quality assurance in R&D. It lists reasons for, and demonstrates benefits of, implementing quality elements in R&D and then offers detailed suggestions for addressing the most important issues without hampering the flexibility and creativity of R&D.     

Quality assurance systems in research and routine analytical laboratories

 In our article we explain the connections between the implementation of quality assurance (QA) in research and routine analytical laboratories. J. K. Taylor claims that QA in an analytical laboratory consists of two independent but closely related terms, quality control and quality assessment. If we construct the QA system according to his ideas, problems concerning quality can be solved with only one concept regardless of the type of analytical laboratory. Therefore there is no need to introduce new QA standards for research laboratories as suggested in some papers. In the routine laboratory quality control is more important, while in the research laboratory quality assessment is dominant.

     

Quality assurance systems in research and routine analytical laboratories

In our article we explain the connections between the implementation of quality assurance (QA) in research and routine analytical laboratories. J. K. Taylor claims that QA in an analytical laboratory consists of two independent but closely related terms, quality control and quality assessment. If we construct the QA system according to his ideas, problems concerning quality can be solved with only one concept regardless of the type of analytical laboratory. Therefore there is no need to introduce new QA standards for research laboratories as suggested in some papers. In the routine laboratory quality control is more important, while in the research laboratory quality assessment is dominant.     

Quality assurance in analytical laboratories engaged in research and development activities

 Research and development activities are carried out by various types of laboratories that are not the typical testing and calibration laboratories for which the ISO/IEC 17025 is the quality assurance implementation reference. In this paper, such laboratories engaged in R&D activities are classified and different approaches they can adopt with a view to implementing a quality system that are suited to their characteristics and the type of work they conduct are proposed. These approaches take account of existing standards for the certification/accreditation of laboratories and of guides on quality assurance for non-routine analytical laboratories. Received: 11 July 2002 Accepted: 29 November 2002 Presented at Analytica Conference, 23–26 April 2002, Munich, Germany Correspondence to M. Valcárcel     

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     

Quality assurance in analytical measurement

 The peculiarities of analytical measurement require to check characteristics of the error (its components) of the obtained analysis results to assure the quality of the measurements. This article deals with the various quality assurance procedures and algorithms which are used to check the quality indices, i.e. the accuracy, reproducibility, certainty and repeatability of analytical measurements: These procedures include: laboratory rapid control; Intra-laboratory statistical control (statistical selection control by alternative attribute, statistical selection control by quantity method of periodic check of the analysis procedure for conformity to the specified requirements) and external control (inter-laboratory control checks, inter-laboratory comparison tests, and intra-laboratory control algorithms carried out by the appropriate supervisory body.) in the separately taken laboratory. The respective algorithms, control plans and control requirements, specified according to the different control aims and assurance tasks, enable the quality and certianty of analytical information obtained in laboratories in Russia to be assured. Received: 9 November 1998 / Accepted: 24 November 1998     

Quality assurance and statistical control

In scientific research laboratories it is rarely possible to use quality assurance schemes, developed for large-scale analysis. Instead methods have been developed to control the quality of modest numbers of analytical results by relying on statistical control: Analysis of precision serves to detect analytical errors by comparing thea priori precision of the analytical results with the actual variability observed among replicates or duplicates. The method relies on the chi-square distribution to detect excess variability and is quite sensitive even for 5–10 results. Interference control serves to detect analytical bias by comparing results obtained by two different analytical methods, each relying on a different detection principle and therefore exhibiting different influence from matrix elements; only 5–10 sets of results are required to establish whether a regression line passes through the origo. Calibration control is an essential link in the traceability of results. Only one or two samples of pure solid or aqueous standards with accurately known content need to be analyzed. Verification is carried out by analyzing certified reference materials from BCR, NIST, or others; their limited accuracy of 5–10% make them less suitable for calibration purposes.     

Quality assurance in daily practice

 A report based on the workshop on "Quality Assurance in Daily Practice", organised by the study group "Quality Assurance and Accreditation" from the Division of Analytical Chemistry of the Federation of European Chemical Societies (SGQAA/DAC/FECS) held at the EUROANALYSIS-10 conference in Basle, 6–11 September 1998.     

Quality assurance in forensic science

 Forensic examination results play an increasingly important role in bringing many criminal investigations to a successful conclusion. The quality of the results of examinations performed in forensic science laboratories has always been the concern of the individual forensic scientist. The interpretations and results are presented in court to non-experts. Therefore, it is essential to ensure and maintain the highest standards of achievements and accuracy in forensic science. Many factors are important contributors to quality assurance in forensic science. Some unique subjects affect not only the mode of inquiry but also the way in which information is presented to the court, i.e. exhibits collection and sample handling, investigation, examination techniques, report writing and court testimony.     

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.     

Quality assurance in forensic science: the UK situation

 The contribution to the debate on the quality of forensic science in the UK by various bodies including government, professional and accreditation organisations, is discussed. The practical steps that have been taken over many years to improve quality and to ensure that there are well-documented systems in place are considered. These include laboratory quality systems, proficiency testing and the training of forensic scientists. Received: 6 November 1996 Accepted: 12 December 1996     

Quality assurance in pesticide residue analysis

Summary During the last few years, the Working Group Pesticide Residues of the Food Chemistry and Forensic Chemistry Division of the Gesellschaft Deutscher Chemiker (German Chemical Society) has organised six laboratory performance tests on the analysis of pesticide residues in which numerous laboratories were involved. In these tests the choice of the analytical methods for the examination of fats or vegetable substrates was free. Organochlorine pesticides in concentrations of over 0.01 mg/kg were mostly readily identified, whereas in the analysis of organophosphorus residues often only the classic compounds (parathion, diazinon, etc.) were reported. Many a false positive result could have been avoided by using more adequate methods for confirmatory analysis. The quantitative results, however, were generally quite reliable and were mostly within the official acceptable dispersion range. It can be concluded that the performance of a residue laboratory is by no means constant, and that it is necessary to assess regularly the quality of the analytical results by participating in such interlaboratory tests.

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Qualitätssicherung bei Rückstandsanalysen von PflanzenschutzmittelnErfahrungen aus Ringversuchen