(6) Validation in QC

1) Linearity & range

Linearity

The method’s ability to give results proportional to analyte conc.

Determined by a calibration curve with at least five conc. levels ‘points’.

Expressed as:

  • correlation coefficient R= approx. 1.

  • Regression line: y=aX + b

Range

The interval between upper and lower level of an analyte in a calibration curve. It’s to determine the diff. between upper & lower limits.

Expressed as:

  • Concentration

2) Limits of detection (LOD)

The lowest conc. of analyte that can be detected.

Determined by:

Signal—→ noise ratio 3:1

Expressed as: concentration

3) Limits of quantification (LOQ)

The lowest conc. of analyte that can be determined accurately & precisely.

Determined by:

Signal—→ noise ratio 10:1

Expressed as: concentration

4) Precision

The degree of agreement among individual results “how close the values are to each other”. Closer agreement—→ more precise results.

Precise does not imply accuracy.

Determined by:

At least nine determinations (3 conc. repeated 3 times).

Expressed as: standard deviation (S.D) or relative SD (% RSD)—→ Recommended to be <= 2.

A method’s precision is evaluated at levels:

Repeatability (intra-day precision)

Intermediate precision (inter-day precision)/Ruggedness

Reproducibility

A measure of a method’s ability to generate similar results for multiple preparations in a short time interval (e.g. same day) under same conditions.

A measure of the variability of results when samples are tested and compared using diff. analysts, equipment and on diff. days.

The precision obtained when samples are prepared and compared bw. diff. testing sites (inter-laboratory variability).

5) Accuracy

A measure for the closeness of the experiment results to the true/reference value.

Determined by:

at least nine determinations (3 conc. repeated 3 times).

Expressed as:

Measured conc. is y=aX+b

6) Specificity

The ability of a method to discriminate between intended analyte and other components in sample.

Expressed as: resolution.

7) Robustness

A method insensitive ‘unaffected’ to small changes in experimental conditions such as temp., pH or % organic phase—→ considered robust.

A method is not robust if changes in those conditions leads to significantly different results (large SD and RSD). Expressed as %RSD.

8) System suitability test (SST)

To indicate that the instrumental system is operating properly. It is performed before, within and after analyzing batches of sample.

Ex. in HPLC/UPLC, ensure that the system yields same parameters (retention time, peak area, etc) already demonstrated when method was first validated.

Expressed as: variable acc. to parameters being measured. Compared to reference value.


Expressed as:

Determined by:

Linearity

  • correlation coefficient R= approx. 1.

  • Regression line: y=aX + b

Calibration curve with at least five conc. levels ‘points’.

Range

Concentrations

Difference between upper & lower limits.

LOD

Concentration

Signal—→ noise ratio 3:1

LOQ

Concentration

Signal—→ noise ratio 10:1

Precision

standard deviation (S.D) or relative SD (% RSD)—→ Recommended to be <= 2.

At least nine determinations (3 conc. repeated 3 times).

Accuracy

At least nine determinations (3 conc. repeated 3 times).

Specificity

Resolution

Robustness

%RSD.

SST

Variable acc. to parameters being measured.