Why Use Interpolation Over Extrapolation for Calibration Curves?

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Interpolation is preferred over extrapolation for calibration curves because it ensures greater precision in determining the relationship between concentration and signal strength for an analyte. Extrapolation can lead to inaccuracies, as it assumes that the existing trend continues beyond the measured data range, which may not hold true due to factors like self-absorption in techniques such as ICP-AES. The discussion highlights the importance of maintaining linearity within the calibration range to ensure reliable results. Understanding these principles is crucial for accurate analysis in laboratory settings. Overall, interpolation provides a more reliable method for calibration curve analysis.
Beer-monster
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Could someone help me understand why interpolation rather than extrapolation should be used for calibration curves (with the exception of Standard additions). I know that extrapolation is less precise, but the book I've got doesn't over any more than that, and I think I need a little more detail for an exam.:biggrin:
 
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Well, what does a calibration curve tell you ?
 
The relationship between concentration and signal strength for the analyte.

Would I be right in saying that you can't extrapolate as you can't be sure the curve remains linear (e.g because of self-absorbtion in ICP-AES)?
 
Beer-monster said:
Would I be right in saying that you can't extrapolate as you can't be sure the curve remains linear (e.g because of self-absorbtion in ICP-AES)?
That's exactly right !
 
Wow, I feel so very stupid *smacks head*
 

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