single point cal

1
Single-point Calibration and its Error Creating a calibration curve based on one standard Use the scroll bar to adjust the slope or error for the single-point calibration and the origin (0,0). slope = 17.0 of the single-point calabration curve single-point 2380 absorbance line c = 0.035 calibration curve 0 0.37 A = 0.60 c A 0 0 0.05 0.37 0 0 0.035 0.595 single-point cal curve 0.010 0.13 0.021765 0.37 0.025 0.37 0.020 0.28 slope = 17 0.021765 0 0.025 0 0.030 0.45 0.040 0.60 c = 0.021765 0.050 0.74 your unknown A = 0.37 0.022 %error = -12.9 absorbance 0.025 Idea from Barb Gage For a single point of known concentration and measured absorbance, the red diamond and the origin (0,0) form a line as shown by the brown line. How does error influence the line? csingle point = ccal curve = Sinex 2007 0.000 0.010 0.020 0.030 0.040 0.050 0.00 0.20 0.40 0.60 0.80 f(x) = 14.8 x R² = 0.99943587190974 f(x) = 17 x R² = 1 concentration, M A

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Single Point Cal

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Page 1: Single Point Cal

Single-point Calibration and its Error

Creating a calibration curve

based on one standard Use the scroll bar to adjust the slope or error for the single-point calibration

and the origin (0,0). slope = 17.0 of the single-point calabration curve

single-point

2380 absorbance line c = 0.035

calibration curve 0 0.37 A = 0.60

c A 0 0 0.05 0.37

0 0 0.035 0.595 single-point cal curve

0.010 0.13 0.02176 0.37 0.025 0.37

0.020 0.28 slope = 17 0.02176 0 0.025 0

0.030 0.45

0.040 0.60 c = 0.02176

0.050 0.74

your unknown A = 0.37 0.022 %error = -12.9

absorbance 0.025

Idea from Barb Gage

For a single point of known concentration and measured absorbance, the red diamond

and the origin (0,0) form a line as shown by the brown line. How does error influence the line?

csingle point =

ccal curve =

Sinex 2007

0.000 0.010 0.020 0.030 0.040 0.0500.00

0.20

0.40

0.60

0.80

f(x) = 14.8 xR² = 0.99943587190974

f(x) = 17 xR² = 1

concentration, M

A

M6
A single-point calibration requires the careful making and measuring of the standard.
B8
The typical curve (blue) based on a series of standard solutions. The linear nature means that Beer's Law holds. The linear regression result is shown on the graph.
J22
Here we are assuming the calibration curve (blue) to be 100% correct.