# Calibration Plot

A calibration plot is essential for carrying out quantitative analytical determinations. It is possible to carry out a single determination without a calibration plot as in titrimetry or gravimetry. However, when a number of quantitative determinations are required using common instrument analysis methods the variables affecting your analysis get multiplied and it becomes necessary to construct a calibration plot over a range of concentrations to accommodate influence of such variables.

Ideally a calibration plot originates at the origin or the intersection point of the recorded parameter axis and the concentration axis and emerges as a straight line with increase in concentration. In simple words it means that when concentration is zero the response is also zero and increases in a mathematical relation with increase in concentration. In real situations, calibration plots show deviations from this ideal behavior after a range of concentrations. Today’s lab bytes covers the important considerations that need to be kept in mind in construction and use of calibration plots.

## Guidelines on Generation and Interpretation of Calibration Plots

Your choice of an analytical technique for a particular analysis would be based on its applicability and a conviction that the response will be linear…

## Analytical Method Validation

The analytical results you communicate can have far-reaching consequences and can form the basis for taking decision on safety of use of commercial products, foods…

## Familiarize yourself with the Calibration Plot

Calibration is essential for establishing the degree of reliance that can be placed on a measurement technique. Similarly it is absolutely necessary to prepare a…

## How to avoid pitfalls in interpretation of Calibration plots

Calibration plots assume great significance in quantitative analysis. It is just not possible to carry out analysis without prior generation of calibration plots. However, it…

## Understanding the Linearity of a Calibration Plot

The essence of a calibration plot is the linear relation between two variables. How do you decide the degree of linearity to rely on interpretations…