Using the Trendline function in Microsoft Excel 5.0, a third order polynomial was found to give a good fit to these empirical data.
Cu in mg
|
Cu-Glucose
Ratio
|
3rd
Poly
|
error
|
400
|
1.863
|
1.863
|
0.000
|
350
|
1.892
|
1.892
|
0.000
|
300
|
1.921
|
1.921
|
0.000
|
250
|
1.950
|
1.949
|
-0.001
|
200
|
1.978
|
1.978
|
0.000
|
150
|
2.008
|
2.008
|
0.000
|
100
|
2.041
|
2.040
|
-0.001
|
70
|
2.059
|
2.060
|
0.001
|
50
|
2.075
|
2.074
|
-0.001
|
cell C5 = -0.0000000009096*A5^3 + 0.00000077181*A5^2 - 0.00078573*A5 + 2.1118
For use in a calculator, the more conventional form is
Y = -9.0960x10-10 X3 + 7.7181x10-7 X2 - 7.8573x10-4 X + 2.1118
Where Y= mgCu/mgGlucose and X = mg Cu found in your sample.
Last updated 9 December 1996