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Encyclopedia > Calibration curve

A calibration curve is a graphical display of the functional relationship between the expected value of the observed signal to the analyte amount.


In analytical chemistry, a calibration curve is a standard method for determining the concentration of any given compound or element. The experimenter will create a series of standards across the range of concentrations that the analytical technique can determine. They must take care that these concentrations are in the working range of the technique (instrumentation) they are using. These standards will have a precisely known concentration of the element or compound under study. Analyzing each of these standards using the chosen technique will produce a series of readings. By plotting these points (reading vs concentration) on a graph, it is possible to plot a line of reading vs concentration across the analytical range of that technique. Thus, when an unknown sample is run and a reading obtained, the experimenter can simply refer to the graph to obtain the concentration.


Applications

  • Analysis of concentration
  • Verifying the proper functioning of a sensor device such as an ion-specific electrode
  • Determining the basic effects of a control treatment (such as a dose-survival curve in clonogenic assay).



  Results from FactBites:
 
BioMed Central | Full text | Microarray scanner calibration curves: characteristics and implications (6212 words)
A scanner calibration slide with the layout, shown in Figure 1, was used to examine the characteristics of the calibration curves for Cy5 and Cy3 as described in the Methods section.
Calibration curves for each dye under 18 different PMT gains (from 150 V to 1000 V at an interval of 50 V) are shown in Figures 2A and 2B.
The calibration curves for Cy5 and Cy3 are shown in Figures 7E and 7F, corresponding to the labelling of "Ref" RNA with Cy5 and "Sample" with Cy3, respectively.
Calibration and Confidence Curves (355 words)
Calibration curves from comparing fungal sequences with plant sequences (green), and from comparing fungal sequences with rhizobacterial sequences (blue) indicate low overlap in hexamer composition and clearly separated medians (Figure 4.2A).
Confidence curves (Figure 4.2B, yellow and magenta lines) calculated from normal approximations to calibration curves indicate 15.2% and 8.7% comparison-wide error rates for rejecting the null hypothesis that a particular sequence resembles hexamer composition of fungal sequences when compared with plants (yellow line) and rhizobacteria (magenta line), respectively.
Calibration curves were obtained from 100 resampled replicates in which each training set was randomly halved, and one half was used to establish hexamer counts, while the other half was used to compute
  More results at FactBites »


 

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