exam 2 official woo Flashcards
when is there not an assumed linear relationship in a calibration curve
when we get data points that are outside of our highest and lowest made standards, where can cannot assume linearity
what are the assumptions for LLs Analysis
1.) we assume a linear relationship between the response (y-axis) and the concentration (x-axis)
- all uncertainty is in the y-axis
- the uncertainty in the y-axis is constant
what is the minimum number of points to make a good calibration curve
3 but 4 is the best for a good and accurate linear equation
if we have less than 3 points on a calibration curve what happens?
we have lower accuracy and undefined precision
what should we do if our concentration is too high to plot on a calibration curve?
we can dilute it
what is a calibration check and what does it measure
it is repeated analysis of a calibration standard
this checks precision
what is a blank
it is a sample with no analyte that is ran to check for contamination
this affects accuracy and precision
what is a lab method spike
it is where we run a sample with a known concentration
if we run one analysis, its a measure of accuracy
if we run multiple analysis, it is a measure of precision
what does recovery % tell us?
it allows us to measure the accuracy (or precision if multiple) of our method
we generally want a recovery% close to 100%
what is a detection limit?
it is the lowest amount of analyte in sample that gives a signal that we can say is different from the blank signal
what is the assumption with y blank +3*s= mx+b
that y-blank and b are the same
do we want low or high limits of detection
low limits of detection
what happens to the irradiance (P) as a molecule absorbs light
it decreases
what does the absorption tell us
it is directly proportional to the concentration, so the higher the absorption, the higher the concentration
what is transmittance
it is the fraction of original light that passes through