validation Flashcards

1
Q

what is method validation

A

is the process used to confirm if the analytical procedures performs the test that is suitable for its intended use.

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2
Q

what do we need in the method

A

consistent (repeatability and productivity), reliable (precise) and accuracy (trueness).

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3
Q

what is validation used for

A

is used to judge reliability, consistency and quality od the analytical result

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4
Q

Why do we need statistics?

A
  • when we did crappy experiment
  • and if the measurement are crappy, statistics is needed
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5
Q

what are the type of erroe

A
  • systematic error: group/ bias
  • gross error: outlier
  • random error : noise
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6
Q

how do you determine propagation error

A
  • addition and substration
  • multiplication and division

how to do so is in the studying paper
exercise do question in note page 8 and 9.

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6
Q

how to quantify uncertainty

A
  • top down: this is done by evaluating total method by using references, materials and calibration.
  • bottom up: divides methods into smaller steps and determine uncertainty in each step and then combine total uncertainty.
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7
Q

what is quality assurance

A

is systematic measure necessary to ensure that product will fulfill given demands on quality.

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8
Q

When do we need to validate

A
  • before initial of every routine work
  • when transferred to another lab
  • when condition are changed outside the scope of original method.
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9
Q

what are the Parameters and tests for method validation

A
  • specificity
  • selectivity
  • limit of detection
  • limit of quantification
    -trueness
  • reliability
    -quality
  • consistency
    -stability
    -
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10
Q

what is Limit of detection (LOD)

A

lowest amount of an analyte in the sample that can be detected

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11
Q

Limit of Quantification (LOQ)

A

lowest amount of an analyte in the sample that can be quantitatively determined with suitable precision and accuracy

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12
Q

what is the Ongoing Routine Tests that must be performed to ensure validation of method

A
  • internal quality control: check if the measurement are repeatable.
  • control chart historical: check how history activities
  • control chart in laboratory: check the expected value and given value
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13
Q

How to reduce the uncertainty of
determinations

A
  • make signal sample as close to centroid as possible
  • make the number for measurement of concentration and number of concentration in calibration curve as many as possible
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14
Q

when to use Weighted Regression

A
  • when heteroscedasticity is expected
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15
Q
A