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Questions and Answers

What happens to the dynamic range when the coefficient of variation (CV) increases from 20% to 30%?

  • It remains the same.
  • It becomes undefined.
  • It becomes wider.
  • It becomes narrower. (correct)
  • What is the Lower Limit of Detection (LLD) also known as?

  • Minimum Detectable Concentration (correct)
  • Mean Detectable Concentration
  • Maximum Detectable Concentration
  • Limit of Quantitation
  • How is the Limit of Quantitation (LOQ) for a non-competitive immunoassay calculated?

  • Mean + 2 x SD
  • Mean + SD
  • Mean + 3 x SD (correct)
  • Mean - 3 x SD
  • What is the Limit of Quantitation (LOQ) for the non-competitive ELISA with a mean OD450 of 0.050 and SD of 0.002?

    <p>$0.056$</p> Signup and view all the answers

    For a competitive immunoassay, how is the Limit of Quantitation (LOQ) calculated?

    <p>Mean - 3 x SD</p> Signup and view all the answers

    If the mean of zero standard (B/Bo) is 0.45 and the SD is 0.048 for a competitive ELISA, what is the calculated LOQ?

    <p>$0.31$</p> Signup and view all the answers

    What factors influence the sensitivity of an ELISA?

    <p>Affinity of antibodies, capture efficiency, signal amplification.</p> Signup and view all the answers

    What is the significance of calculating the mean and standard deviation from a zero standard?

    <p>To assist in calculating the Limit of Detection.</p> Signup and view all the answers

    What is the primary objective of competitive immunoassays?

    <p>To compete for a limited amount of antibody.</p> Signup and view all the answers

    What is the final concentration of antibody after performing a 1 in 5000 dilution from a stock concentration of 100 mg/ml?

    <p>0.02 mg/ml</p> Signup and view all the answers

    How can the standard deviation (SD) be calculated on a Casio calculator?

    <p>By selecting 3 (1-Variable Calc) after pressing OPTN.</p> Signup and view all the answers

    What is the equation used to calculate the % CV for a competitive immunoassay?

    <p>%CV = SD / Mean x 100</p> Signup and view all the answers

    In a competitive immunoassay, what does a lower concentration of bound label indicate?

    <p>More unlabelled test sample is present.</p> Signup and view all the answers

    What is the mean calculated from the standard values 0.555, 0.525, 0.533, 0.522, 0.515, 0.550, 0.540, 0.545, 0.510, and 0.546?

    <p>0.534</p> Signup and view all the answers

    What is the best estimate of the dynamic range of the assay at < 30% CV?

    <p>Wider dynamic range than 20% CV</p> Signup and view all the answers

    Which of the following statements is true regarding precision in competitive immunoassays?

    <p>Precision improves at high log concentration values.</p> Signup and view all the answers

    Study Notes

    Immunoassay Data Handling - Part 2

    • Learning Objectives: Review competitive immunoassays, data handling, antibody stock concentrations, %CV calculations, data handling for precision profiles, data handling for measures accuracy, recovery, and linearity.

    Competitive Immunoassays

    • Mechanism: Either labelled antigen (Ag) or antibody (Ab) and unlabelled specimen Ag (or test sample analyte) compete for a limited amount of antibody.
    • Principle: Less label measured means more unlabelled Ag is present. A concentration of bound label is plotted against analyte concentration, creating an inverse standard curve.

    Calibration Curves

    • Non-competitive ELISA: Standard curve displays a gradual increase in optical density/fluorescence/lumens with increasing control concentration.
    • Competitive ELISA: Standard curve shows a decreasing trend in optical density/fluorescence/lumens with increasing control concentration.

    Antibody Stock Concentration

    • Stock Concentration: 100 mg/mL
    • Dilution: 1 in 5000
    • Final Concentration (calculation): 0.02 mg/mL
    • Lab Dilution (calculation): 0.2 mL antibody required; 0.8 mL buffer required for 1 mL final volume.

    Calculating Standard Deviation (SD)

    • Calculator Method (Casio):
      • Enter data into the variable column.
      • Press = after each entry followed by OPTN.
      • Choose 1-Variable Calc -> Standard Deviation.
      • The relevant SD value (σx) will be displayed

    Precision – SD and % CV

    • Standard Values: 0.555, 0.525, 0.533, 0.522, 0.515, 0.550, 0.540, 0.545, 0.510, 0.546
    • Calculation: % CV = SD / mean x 100
    • Mean: 0.534
    • SD: 0.0147
    • %CV: 2.75%

    Precision Profiles

    • Dynamic Range: The range of analyte concentrations where the assay exhibits acceptable precision (usually under 30%CV). Graphs illustrate different precision profiles as concentrations increase

    Sensitivity

    • Factors: Affinity of antibody to analyte, capture efficiency of the plate, signal amplification, buffer/wash conditions, and the detection method.
    • Lower Limit of Detection (LLD/MDC): The lowest measurable value statistically different from zero.

    Limits of Quantitation (LOQ) - Non-competitive

    • Formula: LOQ = Mean + (3 * SD) (where Mean and SD are from zero standard)
    • Method: Interpolate the calculated Absorbance value from the graph to find the corresponding concentration on the x-axis.

    Limits of Quantitation (LOQ) - Competitive

    • Formula: LOQ = Mean – (3 * SD) (where Mean and SD are from zero standard)
    • Method: Interpolate the calculated B/B0 value from the graph to find the corresponding Log concentration on the x-axis.

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    Description

    Enhance your understanding of competitive immunoassays and key data handling techniques in this quiz. Learn about antibody stock concentrations, %CV calculations, and precision profiles, as well as how to accurately measure recovery and linearity. This quiz is essential for mastering the concepts crucial for data accuracy in immunoassay procedures.

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