Ch 5 Calibration Flashcards
when to use each, and which have single vs multiple point
- external standard
- internal standard
- standard addition
- external: without sample
single point: analyze at 1 conc in 1 sol’n
multiple point: analyze at several conc in several sol’ns - internal: with sample; spike directly in sol’n
- standard addition: with sample
single point: analyze at 1 conc. in 1 sol’n
multiple point: analyze at several conc. in several sol’ns
external standard calibration use
measure response of instrument to analyte
external standard calibration multiple point formulas
y = mxc + b
use LINEST to solve for xc
sc (formula sheet)
CL = tdf * sc
vertical deviation (residual)
residual = yi - (b + mxi)
overall error in a line of best fit
SS resid = ∑i=1 to N [yi - (b+mxi)^2]e
least squares analysis assumption
- errors in y values are normally distributed
- size of random error same for all data
read excel linest function
[m] [b]
[sm] [sb]
[R^2] [sr]
[df]
when to use LINEST
multiple point (external standard, standard addition)
standard error of estimate formula (sr)
deviation from regression line
sr = √ [(SSresid) / (N-2)]
should you average repeated measurements of calibration y values before linear regression
no
CL for multiple point calibration formula
CL = t df * sc
coefficient of determination (R^2) meaning
measures fraction of variation in y explained by linear relationship
how straight is the line that the points make
close to 1 = better
coefficient of determination formula
R^2 = 1 - SSresid/SStot = SSr/SStot
SStot = √ [SSresid / (N-2)]
reagent blank
- Solution containing all the reagents and solvents used
in the analysis but no deliberately added analyte - intercept is a response of this
detection limit
Smallest concentration (x) that can be reported
with a certain level of confidence