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Instrument Validation

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Large fluctuations in temperature may adversely affect results. ... After results are obtained for each linearity sample, plot them on linear regression chart ... – PowerPoint PPT presentation

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Title: Instrument Validation


1
Instrument Validation
2
Pre-Installation Requirements
  • Proper electrical wiring to meet manufacturers
    recommendation
  • Constant line voltage
  • Voltage regulator/stabilizer, if required
  • Temperature controlled area to meet
    manufacturers specifications. Large
    fluctuations in temperature may adversely affect
    results.
  • Adequate de-ionized water supply
  • Proper waste disposal capability
  • Adequate air circulation/ flow around instrument
  • Dust free environment
  • Stable floor / bench top

3
Out of the BoxFor the service Engineer
  • Check instrument for visual damage
  • Check for any loose parts or connections
  • Make sure all computer boards are properly seated
  • Check the wall socket to verify proper voltage
    outlet
  • Plug instrument power cord into (voltage
    stabilizer) electrical supply
  • Confirm the correct voltage on instrument
  • Main power supply
  • Photometric voltage
  • Any other voltage supply that is pertinent to
    instrument functions

4
Out of the BoxFor the service Engineer
  • Permit instrument to stabilize/equilibrate
  • Let all components reach proper temperature
  • Set in any parameters that may be required
  • Ranges
  • Temps

5
Begin Test Verification
  • Follow manufacturers recommendation for reagent
    and control preparation
  • Make a habit of reading package inserts
  • Place reagents on instrument it required
  • Place calibrators on instrument in proper order
    sequence

6
Begin Test Verification
  • Run calibration
  • If calibration is unsuccessful, then troubleshoot
  • 1st determine of instrument or reagent problem
  • Verify proper prep of calibrator
  • If calibration is successful, then run controls
  • Be sure to print out the calibration results and
    keep the printout for future reference
  • If controls within stated value for analyzer and
    methodology, then perform linearity checks
  • Review linear regression curve and enzyme curve.

7
(No Transcript)
8
Linearity Materials and Methods
  • Purpose Verify the analytical measurement range
    (the lowest and highest result that can be
    accurately reported from the instrument.)
  • Commercial materials with high values for
    analytes being performed
  • Must not contain high levels of interfering
    substances such as bilirubin, etc.
  • Separate materials for hematology and chemistry

9
Linearity Materials Methods
  • Chemistry- bilirubin may be a separate material
    from material for other analytes
  • Materials may be one vial with high level for
    several analytes and requires dilution or may be
    a set of samples ranging form low to high
  • Make sure proper base matrix is used
  • After results are obtained for each linearity
    sample, plot them on linear regression chart
  • Check package inserts for expected values
  • Review linear regression curve
  • Troubleshoot if not at or near the manufacturers
    stated linearity for methodology

10
Linearity Study
Non-enzymatic (non-rate) Curve
Enzymatic (rate) Curve
11
Precision check
  • Purpose check reproducibility of instrument
  • Precision quick method
  • Run 5 replicates of one patients sample free of
    elevated bilirubin, lipemia, and hemoloysis
  • Calculate CV or SD
  • Refer to the methodology in procedure manual for
    expected CV or SD
  • Outside of limits, then troubleshoot
  • Sampling system
  • Reagent delivery
  • Photometer / lamp

12
Carryover Study
  • Place a sample with known high analyte value on
    the instrument
  • Follow high-value sample with known low-value (as
    low as possible) sample for same analyte
  • Check results If low-value sample is higher than
    expected, there is a problem with carryover.

13
Accuracy / Recovery Studies
  • Run Controls
  • Care must be taken that the materials used are of
    the same base matrix as that of the method
    calibrator
  • If expected values are not obtained for the
    controls, return to the calibration procedure.

14
Correlation Studies Comparison of old
methodologies vs. automated methods
  • Samples to Use
  • Commercially prepared
  • Need spread of ranges, e.g., low, high, normal
  • Patient samples
  • Must be free of interfering substances
  • Need spread of ranges, e.g., from low to high
  • Until all patient samples are collected
  • Freeze at -20 degrees
  • Do not use home-type freezer because of freeze
    thaw cycles will compromise sample

15
Correlation Studies
  • Run a minimum of 20 different patient samples
  • Run same samples by each method consecutively
    (same day)
  • Plot results by linear regression
  • X axis automated results
  • Y axis Old method results
  • Review linear regression curve
  • How do the two methods compare?
  • Is the slope and intercept acceptable?
  • If the old method will be used for back-up, it is
    important to know normal range for each and how
    well the two methods agree or disagree
  • How do you handle the procedures that do not
    correlate?

16
Correlation Studies
17
Correlation Studies
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