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• Part headings and chapter headings: Preface. Introduction. The analyst and his duty: socio-economic impact of analytical activities. How to Achieve Quality. Regulatory Aspects. Certified Reference Materials. Definitions. General Principles. Production of CRM. Certification of Reference Material. Availability of CRM. The Use of CRM. The Quality of CRM and Reliability of Producers. Examples of BCR-CRM for Environmental Analyses. CRMs for Plant Analysis. CRMs for Biological Material Analysis. CRMs for Water Analysis. CRMs for Sediment Analysis. CRMs for Soil and Sludge Analysis. CRMs for Coal, Ash and Dust Analysis. Interlaboratory Studies. Principles and Definitions. Laboratory Performance Studies
• Proficiency Testing Schemes. Method Performance Studies. Material Certification Studies. Learning Schemes. References.
• (source: Nielsen Book Data)

The participation in inter laboratory studies and the use of Certified Reference Materials (CRMs) are widely recognized tools for the verification of the accuracy of analytical measurements and they form an integral part of quality control systems used by many laboratories, e.g. in accreditation schemes. As a response to the need to improve the quality of environmental analysis, the European Commission has been active in the past fifteen years, through BCR activity (now renamed Standards, Measurements and Testing Program) in the organization of series of inter laboratory studies involving expert laboratories in various analytical fields (inorganic, trace organic and speciation analysis applied to a wide variety of environmental matrices). The BCR and its successor have the task of helping European laboratories to improve the quality of measurements in analytical sectors which are vital for the European Union (biomedical, agriculture, food, environment and industry); these are most often carried out in support of EC regulations, industrial needs, trade, monitoring activities (including environment, agriculture, health and safety) and, more generally, when technical difficulties hamper a good comparability of data among EC laboratories. The collaborative projects carried out so far have placed the BCR in the position of second world CRM producer (after NIST in the USA). "Interlaboratory Studies and Certification of Reference Materials for Environmental Analysis" gives an account of the importance of reference materials for the quality control of environmental analysis and describes in detail the procedures followed by BCR to prepare environmental reference materials, including aspects related to sampling, stabilization, homogenization, homogeneity and stability testing, establishment of reference (or certified) values, and use of reference materials. Examples of environmental CRMs produced by BCR within the last 15 years are given, which represent more than 70 CRMs covering different types of materials (plants, biological materials, waters, sediments, soils and sludges, coals, ash and dust materials) certified for a range of chemical parameters (major and trace elements, chemical species, PAHs, PCBs, pesticides and dioxins). The final section of the book describes how to organize improvement schemes for the evaluation method and/or laboratory performance. Examples of inter laboratory studies (learning scheme, proficiency testing and inter comparison in support to prenormative research) are also given.
(source: Nielsen Book Data)

Quality and reliability are central to success in every discipline, but perhaps nowhere are they more important or more interconnected than in the practice of analytical chemistry. Here, although reliable analytical information implies quality, not all "quality" information proves reliable. Quality and Reliability in Analytical Chemistry examines the various factors affecting these parameters in each step of the analytical process: The Sample: Investigate the reliability of the sample, including its history and homogeneity. The Method: See the connection between reliability and the selection of analytical methods for environmental, food, and clinical analyses. The Instruments: Examine the relationship between reliability and your instrumentation. Data Processing: Consider the importance of chemometrics in the reliability of data processing. Automation: Explore automation of the analytic process through discussion of its parameters - rapidity, reproducibility, flexibility, and reliability. Standards and Standardization: Understand how quality and reliability cannot be assured without using standards for measurement and how only reliable methods can be standardized. The goal of the analytic process is to obtain high quality information with high reliability. Quality and Reliability in Analytical Chemistry helps you meet that goal and thereby satisfy your quality assurance and quality control requirements.
(source: Nielsen Book Data)

• Quality in Chemical Analysis The Reliability in the Analytical Chemistry The Reliability of the Sampling The Connection between Reliability and Analytical Method The Connection between Reliability and Instruments The Reliability of Data Processing Analytical Process The Role of Standards and Standardization on Reliability of the Analytical Information References.
• (source: Nielsen Book Data)

Quality and reliability are central to success in every discipline, but perhaps nowhere are they more important or more interconnected than in the practice of analytical chemistry. Here, although reliable analytical information implies quality, not all 'quality' information proves reliable."Quality and Reliability in Analytical Chemistry" examines the various factors affecting these parameters in each step of the analytical process: The Sample - investigate the reliability of the sample, including its history and homogeneity; The Method - see the connection between reliability and the selection of analytical methods for environmental, food, and clinical analyses; The Instruments - examine the relationship between reliability and your instrumentation; Data Processing - consider the importance of chemometrics in the reliability of data processing; Automation - explore automation of the analytic process through discussion of its parameters - rapidity, reproducibility, flexibility, and reliability; and, Standards and Standardization - understand how quality and reliability cannot be assured without using standards for measurement and how only reliable methods can be standardized.The goal of the analytic process is to obtain high quality information with high reliability. "Quality and Reliability in Analytical Chemistry" helps you meet that goal and thereby satisfy your quality assurance and quality control requirements.
(source: Nielsen Book Data)