Validation Flashcards

1
Q

What do we want from a method?

A

Consistency (reproducibility)
Reliability (Precision)
Accuracy (Trueness)

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2
Q

Can a systematic error be corrected?

A

Yes

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3
Q

Can a random error be corrected?

A

No

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4
Q

What is uncertainty?

A

An interval within which one believes the correct value is

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5
Q

What is an outlier?

A

A data point that is completely different from the others

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6
Q

What is QA?

A

Quality assurance

Systematic measures (quality system) necessary to give enough confidence that a product (results) will fulfill given demands on quality

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7
Q

What is validation?

A

Ensure that the method is suitable for its intended purpose

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8
Q

Is a specific compound always selective?

A

Yes

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9
Q

Give an example of selective and specific

A

Redness and red

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10
Q

Do we always only use the linear part of the curve?

A

Yes

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11
Q

How do you increase trueness?

A

Calibration

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12
Q

How do you increase precision?

A

It is about the tolerance of the equipment you work with. You might need a more precise equipment.

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13
Q

How do we test trueness?

A

With a t-test
Paired t-test
Linear regression

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14
Q

If we plot residuals against concentration do we want to see random data points or some type of curve?

A

Random data points to ensure that the linear fit we have fitted is indeed the right fit. If a curve shows up it is not.

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15
Q

What is LOD?

A

Limit of detection

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16
Q

What is LOQ?

A

Limit of quantification

17
Q

Where on the concentration curve do we want to be?

A

In the middle of the linear interval

18
Q

What does limit of detection mean?

A

The measured value is larger than the uncertainty associated with it

19
Q

What is S/N?

A

Signal to noise ratio

20
Q

What does limit of quantification mean?

A

The lowest amount of analyte that we can quantitatively determine with precision and accuracy

21
Q

What is robustness?

A

Capacity of procedure to remain unaffected by small deliberate variations in method parameters

22
Q

Should the zero concentration blank be included in the calibration curve?

A

Yes

23
Q

What is the most common type of weighted regression?

A

Weighted by the standard deviation

24
Q
A