matrix_effect: Assess matrix effects and matrix-matched calibrations
Description
Calculate the matrix effect by comparing the slope of a solvent-based
calibration curve with one or more matrix-matched calibration. The matrix
effect is expressed as signal suppression/enhancement ratio.
Usage
matrix_effect(object, ...)
# S3 method for calibration
matrix_effect(object, ...)
Value
The magnitude of a matrix effect is estimated by subtracting the slope of a
matrix-matched calibration from that of the solvent-based calibration. The
difference is divided by the slope of the solvent-based calibration.
Arguments
object
an object of class 'calibration'
obtained from analyzing standard solutions of different concentration
(solvent calibration data).
...
additional objects of the same type obtained from
matrix-matched calibration data.
Author
Julius Albert, Zacharias Steinmetz
Details
Matrix effects or signal suppression/enhancement ratios should be evaluated
during analytical method development to avoid over- or underestimation of
sample concentrations. In addition, signal suppression/enhancement ratios may
help to justify the validity of a regular solvent calibration as opposed to
matrix-matched calibrations. This may be the case if matrix effects or
signal suppression/enhancement ratios are close to measurement repeatability.
See Also
Other calibration:
calibration(),
din32645,
icp,
neitzel2003,
phenolics,
weight_select()