Validation in Chemical MeasurementPaul De Bièvre, Helmut Günzler Springer Science & Business Media, 2005. gada 6. dec. - 168 lappuses The validation of analytical methods is based on the characterisation of a measurement procedure (selectivity, sensitivity, repeatability, reproducibility). This volume collects 31 outstanding papers on the topic, mostly published in the period 2000-2003 in the journal "Accreditation and Quality Assurance." They provide the latest understanding, and possibly the rationale why it is important to integrate the concept of validation into the standard procedures of every analytical laboratory. In addition, this anthology considers the benefits to both: the analytical laboratory and the user of the measurement results. |
No grāmatas satura
1.5. rezultāts no 56.
. lappuse
... determination of metals in solid samples by atomic spectrometry....................................... 62 Validation requirements for chemical methods in quantitative analysis horses for courses? ............ 68 Validation criteria ...
... determination of metals in solid samples by atomic spectrometry....................................... 62 Validation requirements for chemical methods in quantitative analysis horses for courses? ............ 68 Validation criteria ...
. lappuse
... : AOAC's three validation systems 163 Observing validation, uncertainty determination and traceability in developing Nordtest test methods...... 167 DOI 10.1007/s00769-002-0516-5 © Springer-Verlag 2002 Frank T. Peters Hans H. VIII Contents.
... : AOAC's three validation systems 163 Observing validation, uncertainty determination and traceability in developing Nordtest test methods...... 167 DOI 10.1007/s00769-002-0516-5 © Springer-Verlag 2002 Frank T. Peters Hans H. VIII Contents.
3. lappuse
... determination is not acceptable from a statistical point of view [9]. However, one important point should be kept in mind when statistically testing the model fit: The higher the precision of a method, the higher the probability to ...
... determination is not acceptable from a statistical point of view [9]. However, one important point should be kept in mind when statistically testing the model fit: The higher the precision of a method, the higher the probability to ...
4. lappuse
... determinations [17]. In a strict sense, intermediate precision is the total precision under varied conditions, whereas so called inter-assay, between-run or between-day precision only measure the precision components caused by the re ...
... determinations [17]. In a strict sense, intermediate precision is the total precision under varied conditions, whereas so called inter-assay, between-run or between-day precision only measure the precision components caused by the re ...
5. lappuse
... determination of LLOQ. LLOQ based on precision and accuracy (bias) data [2, 710, 13, 14]. This is probably the most practical approach and defines the LLOQ as the lowest concentration of a sample that can still be quantified with ...
... determination of LLOQ. LLOQ based on precision and accuracy (bias) data [2, 710, 13, 14]. This is probably the most practical approach and defines the LLOQ as the lowest concentration of a sample that can still be quantified with ...
Saturs
Validation of a computer program for atomic absorption The evaluation of measurement uncertainty from | 31 |
collaborative study method validation and method monitoring 107 | 37 |
Evaluation and Validation of salt spray corrosion test 121 | 51 |
Analytical validation in practice at a quality control Method validation and reference materials 128 | 62 |
Validation requirements for chemical methods in Marketing Valid Analytical Measurement | 143 |
Different approaches to legal requirements | 159 |
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acceptance according accreditation accuracy analysis analytical application approach assessment associated bias calculated calibration capillary certified chemical chemistry clinical compared comparison complete components concentration confidence corrosion criteria defined definition described detailed detection determination direct discussed documentation effect equipment established estimation evaluation example experimental experiments factors functions given Guide important indicated installation intended International laboratory limit linearity manufacturers matrix mean measurement measurement uncertainty ment method validation necessary obtained official operating parameters peak performance phase possible practice precision prepared present procedure protocol qualification quality assurance range recovery reference materials reliability repeatability reproducibility requirements response routine sample scope selectivity solution solvent sources specifications standard standard deviation steps Table test methods tion uncertainty variation vendor verification