Difference between revisions of "Pipette Verification"

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When one is '''highly accurate''' this means that when multiple measurements are averaged, you get an answer that is very close to the true value (demonstrated by the figure on the left).  
 
When one is '''highly accurate''' this means that when multiple measurements are averaged, you get an answer that is very close to the true value (demonstrated by the figure on the left).  
  
'''The goal is to be both precise and accurate!'''
+
'''The goal is to be both precise and accurate, but accuracy is more important than precision (this can be debated).'''
 +
 
  
 
The figure below is a different model for thinking about accuracy and precision.
 
The figure below is a different model for thinking about accuracy and precision.

Revision as of 10:56, 30 May 2017

Pipettes are commonly used in the biochemistry laboratory and in most cases, users make the assumption that these "instruments" are fully functional, but this is not always the case. Pipettes are dropped or mistreated and this can result in the pipette requiring recalibration by a trained professional. At the beginning of any research project, it is highly recommended (ie. DO IT) that you "verify" that the pipette is working properly. An extensive discussion of this can be found here...but for research purposes, the verification procedure can be significantly less involved.


Before beginning the verification process, we must acknowledge the concepts of accuracy and precision. Below are two figures showing the "target grouping" model describing accuracy and precision (see Wiki for more details):

low accuracy high precision
high accuracy low precision

This target grouping model makes it clear that there is a "correct" or "best answer" which is often referred to as the "true" value. In the two cases above, the true value is the center of the target. When one is highly precise this means that you can reproduce a measurement multiple times and get nearly the same answer each time, but it does not necessarily mean that the measured value is close to the true valve (demonstrated by the figure on the right). When one is highly accurate this means that when multiple measurements are averaged, you get an answer that is very close to the true value (demonstrated by the figure on the left).

The goal is to be both precise and accurate, but accuracy is more important than precision (this can be debated).


The figure below is a different model for thinking about accuracy and precision.

[[File:Accuracy and precision.png|200 px|thumb| }



that there are two sources of error:
1) Systematic
2) Instrumental

Recommended Verification Procedure using Gravimetric Test