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Quality is a Lousy Idea-
If it’s Only an Idea
the degree of excellence of
something.
Quality Assurance vs.
Quality Control
Quality Assurance
An overall
management plan to
guarantee the
integrity of data
(The “system”)
Quality Control
A series of
analytical
measurements used
to assess the
quality of the
analytical data
(The “tools”)
True Value vs. Measured
Value
True Value
The known,
accepted value of
a quantifiable
property
Measured Value
The result of an
individual’s
measurement of a
quantifiable
property
Accuracy vs. Precision
Accuracy
How well a
measurement
agrees with an
accepted value
Precision
How well a series
of measurements
agree with each
other
Accuracy vs. Precision
Systematic vs.
Random Errors
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
Quality Control Measures
• Standards and Calibration
• Blanks
• Recovery Studies
• Precision and Accuracy Studies
• Method Detection Limits
Standards and Calibration
• Prepared vs. Purchased Standard
• Signals: Peak Area, Beer’s Law
• Calibration Curves
• Continuing Calibration Checks
• Internal Standards
• Performance Testing.
Calibration Curves
Graphical representation of the
relationship between:
• The analytical signal (A)
• The concentration of the analyte
and
Calibration Curve for DDT
y = 9.3005x + 4.3313
0
100
200
300
400
500
0 10 20 30 40 50 60
Parts per trillion DDT
Peak
area
x
10
6
R2
= 0.9989
Continuing Calibration
Verification
• Many methods don’t require that
daily calibration curves are
prepared
• A “calibration verification” is
analyzed with each batch of samples
Sample Batch
• 10 - 20 samples (method defined)
or less
• Same matrix
• Same sample prep and analysis
• Contains a full set of
QC samples
Internal Standards
• A compound chemically 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.
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
Performance Testing
Blind samples submitted to
laboratories
?
?
?
Labs must periodically
analyze with acceptable
results in order to maintain
accreditation
Blanks, Blanks, Blanks
• Laboratory Reagent Blanks
• Instrument Blanks
• Field Reagent Blanks
• Trip Blanks
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
Instrument Blank
• A clean sample (e.g., distilled water)
processed through the instrumental
steps of the measurement process;
used to determine instrument
contamination.
Field Reagent Blanks
• Prepared in the lab, taken to the
field
• Opened at the sampling site,
exposed to sampling equipment,
returned to the lab.
Trip Blanks
• Prepared in the lab, taken to the
field
• Not opened
• Returned to the lab
• Not always required in EPA methods
Recovery Studies
• Matrix Spikes
• Laboratory Control Samples
• Surrogates .
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
Laboratory Control Sample
• Subjected to all sample prep and
analytical procedures
• Analyte spiked into reagent water
Laboratory Control Sample
Also known as:
• Laboratory Fortified Blank (LFB)
• Quality Control Sample (QCS)
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
METHOD
VALIDITY
Specificity
• It is the ability of instrument to assess the
analyte in the presence of different
components which may be expected to be
present in the form excipient, impurities,
and other degradative products.
Linearity
Range
• It is defined as the intervals between upper
and lower concentration of analyte present
in the sample.
• it is used to demonstrate that the result can
be obtained in specific limits.
• 10-50 mg/mL
Accuracy
• It is the nearness of the measured value to
the true value.
• It provides the indication of systematic error
if obtained in any method.
• Intrinsic accuracy (It shows error in the
sample preparation)
• Overall Accuracy ( it shows error in
calculation)
Accuracy
• Accuracy is generally expressed as
• C1/C2 X 100
• C1 Concentration of sample observed
• C2 Theoretical True concentration of
sample
Precision
• It consists of intermediate precision,
repeatability precision and reproducibility
precision
• It shows agreement between series of
measurements obtain from multiple
sampling of the same homogenous sample.
• Intermediate precision
• It is the results obtained which is in the lab
variation by different analysts/different
equipments/ different days.
• Repeatability precision is under same operating
conditions at short intervals of time.
• Reproducibility precision is between different labs
of different companies.
• It is given by relative standard deviation
• %RSD = standard deviation / mean x 100
• It should be less than 1%
LOD
• It is the lowest limit of the analyte that can
be detected but can not be quantified in the
sample.
• It is given as percentage or in ppm
• LOD = 3.3 x SD/Slop
• SD standard deviation
• Slop from calibration curve
LOQ
• It is the lowest limit of the analyte that can
be detected but can be quantified in the
sample.
• It is the ratio of 1:10
• LOQ = 10 x SD/Slop
• SD standard deviation
• Slop from calibration curve
Robustness
• It is the ability of analytical procedure to
remain unaffected by the small but delibrate
variations in the parameters like pH,
temperature, instrument and composition of
solution.

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Method validation terms quality control and assurance

  • 1. Quality is a Lousy Idea- If it’s Only an Idea the degree of excellence of something.
  • 2. Quality Assurance vs. Quality Control Quality Assurance An overall management plan to guarantee the integrity of data (The “system”) Quality Control A series of analytical measurements used to assess the quality of the analytical data (The “tools”)
  • 3. True Value vs. Measured Value True Value The known, accepted value of a quantifiable property Measured Value The result of an individual’s measurement of a quantifiable property
  • 4. Accuracy vs. Precision Accuracy How well a measurement agrees with an accepted value Precision How well a series of measurements agree with each other
  • 6. Systematic vs. Random Errors 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
  • 7. Quality Control Measures • Standards and Calibration • Blanks • Recovery Studies • Precision and Accuracy Studies • Method Detection Limits
  • 8. Standards and Calibration • Prepared vs. Purchased Standard • Signals: Peak Area, Beer’s Law • Calibration Curves • Continuing Calibration Checks • Internal Standards • Performance Testing.
  • 9. Calibration Curves Graphical representation of the relationship between: • The analytical signal (A) • The concentration of the analyte and
  • 10. Calibration Curve for DDT y = 9.3005x + 4.3313 0 100 200 300 400 500 0 10 20 30 40 50 60 Parts per trillion DDT Peak area x 10 6 R2 = 0.9989
  • 11. Continuing Calibration Verification • Many methods don’t require that daily calibration curves are prepared • A “calibration verification” is analyzed with each batch of samples
  • 12. Sample Batch • 10 - 20 samples (method defined) or less • Same matrix • Same sample prep and analysis • Contains a full set of QC samples
  • 13. Internal Standards • A compound chemically 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.
  • 14. 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
  • 15. Performance Testing Blind samples submitted to laboratories ? ? ? Labs must periodically analyze with acceptable results in order to maintain accreditation
  • 16. Blanks, Blanks, Blanks • Laboratory Reagent Blanks • Instrument Blanks • Field Reagent Blanks • Trip Blanks
  • 17. 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
  • 18. Instrument Blank • A clean sample (e.g., distilled water) processed through the instrumental steps of the measurement process; used to determine instrument contamination.
  • 19. Field Reagent Blanks • Prepared in the lab, taken to the field • Opened at the sampling site, exposed to sampling equipment, returned to the lab.
  • 20. Trip Blanks • Prepared in the lab, taken to the field • Not opened • Returned to the lab • Not always required in EPA methods
  • 21. Recovery Studies • Matrix Spikes • Laboratory Control Samples • Surrogates .
  • 22. 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
  • 23. Laboratory Control Sample • Subjected to all sample prep and analytical procedures • Analyte spiked into reagent water
  • 24. Laboratory Control Sample Also known as: • Laboratory Fortified Blank (LFB) • Quality Control Sample (QCS)
  • 25. 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
  • 27. Specificity • It is the ability of instrument to assess the analyte in the presence of different components which may be expected to be present in the form excipient, impurities, and other degradative products.
  • 29. Range • It is defined as the intervals between upper and lower concentration of analyte present in the sample. • it is used to demonstrate that the result can be obtained in specific limits. • 10-50 mg/mL
  • 30. Accuracy • It is the nearness of the measured value to the true value. • It provides the indication of systematic error if obtained in any method. • Intrinsic accuracy (It shows error in the sample preparation) • Overall Accuracy ( it shows error in calculation)
  • 31. Accuracy • Accuracy is generally expressed as • C1/C2 X 100 • C1 Concentration of sample observed • C2 Theoretical True concentration of sample
  • 32. Precision • It consists of intermediate precision, repeatability precision and reproducibility precision • It shows agreement between series of measurements obtain from multiple sampling of the same homogenous sample.
  • 33. • Intermediate precision • It is the results obtained which is in the lab variation by different analysts/different equipments/ different days. • Repeatability precision is under same operating conditions at short intervals of time. • Reproducibility precision is between different labs of different companies. • It is given by relative standard deviation • %RSD = standard deviation / mean x 100 • It should be less than 1%
  • 34. LOD • It is the lowest limit of the analyte that can be detected but can not be quantified in the sample. • It is given as percentage or in ppm • LOD = 3.3 x SD/Slop • SD standard deviation • Slop from calibration curve
  • 35. LOQ • It is the lowest limit of the analyte that can be detected but can be quantified in the sample. • It is the ratio of 1:10 • LOQ = 10 x SD/Slop • SD standard deviation • Slop from calibration curve
  • 36. Robustness • It is the ability of analytical procedure to remain unaffected by the small but delibrate variations in the parameters like pH, temperature, instrument and composition of solution.