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Data Quality Assurance/ Quality Control

Data Quality Assurance/ Quality Control. QA/QC Requirements for RECAP Submittals. Data generated using rigorous analytical methods Data must be analyte specific, and the identity and concentration confirmed Method produced tangible raw data. QA/QC Documentation includes: (Definitive Data).

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Data Quality Assurance/ Quality Control

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  1. Data Quality Assurance/ Quality Control

  2. QA/QC Requirements for RECAP Submittals • Data generated using rigorous analytical methods • Data must be analyte specific, and the identity and concentration confirmed • Method produced tangible raw data

  3. QA/QC Documentation includes:(Definitive Data) • Sample documentation • initial and continuing calibration • determination and documentation of detection limits • analyte identification and quantification • QC blanks matrix spike recoveries

  4. QA/QC Documentation includes: (Definitive Data cont.) • Performance evaluation samples (external QA or laboratory control samples) • analytical error determination • total measurement error determination

  5. Definitive DataExamples • EPA 500 Series • EPA 600 Series • SW846 methods • Contract Laboratory Program (CLP) Statement of Work (SOW) methods

  6. Example of an acceptableQA/QC set • 1 rinsate sample per 20 field samples • 1 field blank per day • 1 trip blank / ice chest of samples for VOA • 1 field duplicate / 20 field samples • 1 matrix spike/matrix spike duplicate from the site per 20 samples

  7. Data Evaluation and Data Usability

  8. Evaluate data with respect to: • Analytical Method • Sample Quantitation Limits • Blank Samples • Tentatively Identified Compounds (TICs)

  9. Data evaluation section of risk assessment report should include: • appropriateness of method and SQL • results of blank analysis • TICs detected • calibration or matrix spike recoveries • results of performance evaluation • precision of the analysis

  10. Historical data may be combined with current data if: • analytical methods and QA/QC, are similar for both data sets • constituents and concentrations detected in the historical data are consistent with the current data.

  11. Historical data • Historical data of unknown quality may not be used in determining exposure or source concentrations • Analytical methods, sampling techniques, quantitation limits and QA/QC for the historical data shall be included in the risk assessment report

  12. Historical data (cont.) • If methods or concentrations are significantly different, the latest data set shall be used • the elimination of any data set shall be fully justified in the risk assessment report

  13. Raw analytical data including chromatograms and additional QA/QC information may be requested by the Department on an as needed basis

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