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Introduction to Soil Chemistry

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162 spectroscopy<br />

Data<br />

Concentration<br />

Optical<br />

Density<br />

0 0<br />

10 0.15<br />

30 0.3<br />

60 0.65<br />

90 0.95<br />

Absorbance (A)<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

y = 0.010x + 0.014<br />

R 2 = 0.9966<br />

0<br />

0 20 40 60 80 100<br />

Concentration<br />

Figure 8.10. Calibration curve including 0,0 as a point.<br />

it is less than 1, this means that some of the error in measurement has not<br />

been accounted for. In Figure 8.9 the r 2 is 0.9957 and can be interpreted as<br />

accounting for all the error except for 0.0043. This can also be expressed as a<br />

percentage. Thus the r 2 is 99.57%, and we have accounted for all except 0.43%<br />

or the error. 2<br />

Regression analysis, sometimes referred <strong>to</strong> as least-squares analysis, is a<br />

standard statistical analysis, which is available in statistical packages as well as<br />

Excel, and statistics text books [19]. In all analytical work using calibration<br />

curves an r 2 of 0.99 or higher is essential.<br />

Once the calibration curve has been prepared and is of sufficient accuracy,<br />

the extracted samples can be analyzed and the calibration curve used <strong>to</strong> relate<br />

the results of the analysis of the unknown <strong>to</strong> the amount of component of<br />

interest present in them [19].<br />

2 Strictly speaking, we have used more significant figures than are warranted by the original data.

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