1 / 32

Quality is a Lousy Idea-

Quality is a Lousy Idea-. If it’s Only an Idea. Quality Assurance vs. Quality Control. Quality Assurance. Quality Control. A series of analytical measurements used to assess the quality of the analytical data (The “tools”). An overall management plan to guarantee the

Audrey
Download Presentation

Quality is a Lousy Idea-

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Quality is a Lousy Idea- If it’s Only an Idea

  2. Quality Assurance vs. Quality Control Quality Assurance Quality Control A series of analytical measurements used to assess the quality of the analytical data (The “tools”) An overall management plan to guarantee the integrity of data (The “system”)

  3. True Value The known, accepted value of a quantifiable property Measured Value The result of an individual’s measurement of a quantifiable property True Value vs. Measured Value

  4. Accuracy How well a measurement agrees with an accepted value Precision How well a series of measurements agree with each other Accuracy vs. Precision

  5. Accuracy vs. Precision

  6. Systematic Error Avoidable error due to controllable variables in a measurement. Random Errors Unavoidable errors that are always present in any measurement. Impossible to eliminate Systematic vs. Random Errors

  7. Quality Control Measures • Standards and Calibration • Blanks • Recovery Studies • Precision and Accuracy Studies • Method Detection Limits • NJQLs

  8. Standards and Calibration • Prepared vs. Purchased Standard • Signals: Peak Area, Beer’s Law • Calibration Curves • Continuing Calibration Checks • Internal Standards • Performance Testing.

  9. The concentration of the analyte and Calibration Curves Graphical representation of the relationship between: • The analytical signal

  10. Continuing Calibration Verification • Many methods don’t require that daily calibration curves are prepared • A “calibration verification” is • analyzed with each batch of samples

  11. Sample Batch • 10 - 20 samples (method defined) or less • Same matrix • Same sample prep and analysis • Contains a full set of • QC samples

  12. Internal Standards • A compoundchemically similar to the analyte • Not expected to be present in the sample • Cannot interfere in the analysis • Added to the calibration standards and to the samples in identical amounts.

  13. Internal Standards • Refines the calibration process • Analytical signals for calibration standards are compared to those for internal standards • Eliminates differences in random and systematic errors between samples and standards

  14. Performance Testing ? Blind samples submitted to laboratories ? ? Labs must periodically analyze with acceptable results in order to maintain accreditation

  15. Blanks, Blanks, Blanks • Laboratory Reagent Blanks • Instrument Blanks • Field Reagent Blanks • Trip Blanks

  16. Laboratory Reagent Blanks • Contains every reagent used in the analysis • Is subjected to all analytical procedures • Must give signal below detection limit • Most methods require one with every batch

  17. Instrument Blank • A clean sample (e.g., distilled water) processed through the instrumental steps of the measurement process; used to determine instrument contamination.

  18. Field Reagent Blanks • Prepared in the lab, taken to the field • Opened at the sampling site, exposed to sampling equipment, returned to the lab.

  19. Trip Blanks • Prepared in the lab, taken to the field • Not opened • Returned to the lab • Not always required in EPA methods

  20. Recovery Studies • Matrix Spikes • Laboratory Control Samples • Surrogates .

  21. Matrix Spikes • Sample spiked with a known amount of analyte • Subjected to all sample prep and analytical procedures • Determines the effect of the matrix on analyte recovery • Normally one per batch

  22. Laboratory Control Sample • Analyte spiked into reagent water • Subjected to all sample prep and • analytical procedures

  23. Laboratory Control Sample Also known as: • Laboratory Fortified Blank (LFB) • Quality Control Sample (QCS)

  24. Surrogates • Similar to an internal standard • Added to all analytical samples, and to all QC samples to monitor method performance, usually during sample prep • Methods often have specific surrogate recovery criteria • Most common in Organic methods

  25. Quality Control Measures • Standards and Calibration • Blanks • Recovery Studies • Precision and Accuracy Studies • Method Detection Limits • NJQLs

  26. Precision and Accuracy • Required for initial certification and annually thereafter • A series of four laboratory control samples • Must meet accuracy (recovery) and precision (standard deviation) requirements, often in method

  27. Precision and Accuracy • Required with a change in instrumentation or personnel • Specific to the analyst • Other names include: P&A, DOC, IDOC

  28. Method Detection Limit “The minimum concentration of a substance that can be measured and reported with 99% confidence that the analyte concentration is greater than zero” N.J.A.C 7:18 - 1.7

  29. Method Detection Limit • MDLs are determined according to 40 CFR, part 136, Appendix B • Seven replicate laboratory control samples, analyzed for precision • Multiply standard deviation by 3.14 (Student’s t- value)

  30. Method Detection Limit • Must be performed initially for certification • Must meet criteria specified in method • Must be performed with change in instrumentation or test method • Annually with ELCP

  31. New Jersey Quantitation Limits(NJQLs) • The minimum concentration of an analyte that can be quantified with statistical confidence • 5 x MDL, for the NJ Lab Certification Program

More Related