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32 Cards in this Set
- Front
- Back
Quality Assurance
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Quantitative indications that indicate whether data requirements have been met. Also refers to the broader process that includes quality control, quality assessment, and documentation os procedures and results designed to ensure adequate data quality.
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Use Objective
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States the purpose for which results will be used
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Specifications
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describes how good analytical results need to be and what precautions are required in an analytical method
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False Positive
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conclusion that a concentration of analyte exceeds a certain limit when, in fact, the concentration is below the limit
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False Negative
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conclusion that a concentration of analyte is below a certain limit when, in fact, the concentration is above the limit
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Selectivity
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being able to distinguish analyte from other species in the sample
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Sensitivity
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the capability of responding reliably and measurably to changes in analyte concentration (slope of the calibration curve)
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Method Blank
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a sample containing all components except analyte and is taken through all steps of the analytical process (response is subtracted from samples response)
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Reagent Blank
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a solution prepared from all of the reagents, but with no analyte (measures the response of the analytical method to impurities in the reagents and other effects caused by any component other than analyte)
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Field Blank
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blank sample exposed to the environment at the sample collection site and transported in the same manner as other samples between the lab and the field
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Matrix
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everything in the sample other than analyte
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Spike
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addition of a known compound (usually with known concentration) to an unknown
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Calibration Check
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the analysis of a solution formulated by the analyst to contain a known concentration of analyte
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Performance Test Samples
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it is inserted in a series of measurements to see if a procedure gives correct results when the analyst does not know the right answer
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Standard Operating Procedures
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a written procedure that must be rigorously followed to ensure the quality of a chemical analysis
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Control Chart
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a visual representation of a confidence interval for a Gaussian distribution
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Assessment
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the process of (1) collecting data to show that analytical procedures are operating within specified limits and (2) verifying that final results meet use objectives
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Method Validation
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the process of proving that an analytical process is acceptable for its intended purpose
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Specificity
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the ability of an analytical method to distinguish the analyte from everything else that might be in the sample
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Linearity
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measures how well a calibration curve follows a straight line
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Square of the Correlation Coefficient
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measure of goodness of fit of data points to a straight line (R^2)
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Accuracy
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nearness of a measured value to the "true" value
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Precision
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the reproducibility of a result
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Range
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the concentration interval over which linearity, accuracy and precision are all acceptable
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Detection Limit
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the smallest quantity of analyte that is "significantly different" from the blank
Signal DL = Ydl = Yblank + 3s DL (conc) = 3s/m |
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Quantitation Limit
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the smallest amount of analyte that can be measured with reasonable accuracy
QL = 10s/m |
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Reporting Limit
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the concentration below which regulatory rules say that a given analyte is reported as "not detected"
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Robustness
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the ability of an analytical method to be unaffected by small, deliberate changes in operating parameters
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Standard Addition
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known quantities of analyte are added to the unknown and the responses are recorded (keeps matrix effect constant)
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Matrix Effect
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a change in the analytical signal caused by anything in the sample other that the analyte
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Internal Standards
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a known amount of a compound, different from analyte, that is added to the unknown
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Response Factor
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(F) the relative response of a detector to analyte and internal standard
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