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 87.
. lappuse
... analysis – horses for courses? ............ Marketing Valid Analytical Measurement............ 143 68 Validation criteria for developing ion-selective membrane electrodes for analysis of pharmaceuticals .. 73 Analytical procedure in ...
... analysis – horses for courses? ............ Marketing Valid Analytical Measurement............ 143 68 Validation criteria for developing ion-selective membrane electrodes for analysis of pharmaceuticals .. 73 Analytical procedure in ...
2. lappuse
... least 10–20 sources of blank samples [4]. Howev- er, in Conference Report II [10], even analysis of only one source of blank matrix was deemed acceptable, if At this point it must be mentioned that the term. 2 F.T. Peters · H.H. Maurer.
... least 10–20 sources of blank samples [4]. Howev- er, in Conference Report II [10], even analysis of only one source of blank matrix was deemed acceptable, if At this point it must be mentioned that the term. 2 F.T. Peters · H.H. Maurer.
3. lappuse
... analysis of up to 20 blank samples spiked with analyte at the lower limit of quantification ( LLOQ ) and , if possible , with in- terferents at their highest likely concentrations . In this approach , the method can be considered ...
... analysis of up to 20 blank samples spiked with analyte at the lower limit of quantification ( LLOQ ) and , if possible , with in- terferents at their highest likely concentrations . In this approach , the method can be considered ...
4. lappuse
... analysis of QC samples under speci- fied conditions. As both precision and bias can vary sub- stantially over the calibration range, it is necessary to evaluate these parameters at least at three concentration levels (low, medium and ...
... analysis of QC samples under speci- fied conditions. As both precision and bias can vary sub- stantially over the calibration range, it is necessary to evaluate these parameters at least at three concentration levels (low, medium and ...
5. lappuse
... analysis of blank not applicable for most quantita- tive chromatographic methods, as here the response is usually measured in terms of peak area units, which can of course not be measured in a blank sample analysed with a selective ...
... analysis of blank not applicable for most quantita- tive chromatographic methods, as here the response is usually measured in terms of peak area units, which can of course not be measured in a blank sample analysed with a selective ...
Saturs
1 | |
10 | |
Clinical reference materials for the validation of | 31 |
Qualification and validation of software and computer | 42 |
Validation of the uncertainty evaluation for | 63 |
Validation criteria for developing ionselective | 73 |
quality assurance | 148 |
Is the estimation of measurement uncertainty a viable | 155 |
Different approaches to legal requirements | 159 |
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Bieži izmantoti vārdi un frāzes
acceptance Accred Qual Assur accuracy Anal analysis analyte concentration analytical chemistry analytical measurement analytical method analytical procedure Anklam AOAC AOAC INTERNATIONAL application assessment bias calculated calibration curve capillary cation certified certified reference materials Chem chemical clinical components computer systems corrosion criteria CRMs defined detector determination documentation drug EURACHEM evaluation experimental factors functions Hewlett-Packard HPLC injection installation instrument interlaboratory International laboratory linearity LLOQ matrix measurement uncertainty ment meth method validation Metrology mmol/l obtained operating parameters peak performance pharmaceutical phase precision protocol qualification quality assurance quantitative quinizarin range recovery reference materials relative standard deviation reliability reproducibility requirements ruggedness testing sample scope of accreditation solution solvent red 24 solvent yellow 124 specifications Springer-Verlag standard deviation Table tainty test methods tion trueness type of tests uncer uncertainty associated uncertainty estimation vali vendor verification Waldbronn