How to Make a Calibration Curve in Excel
How to Make a Calibration Curve in Excel.
Hello friends,This post is specially made for Pharmaceutical science or engineering students.
As if you are Pharmaceutical science or engineering student. If you want to know the unknown concentratin of any sample by UV-spectrophotometer, then obviously you need a calibration equation to determine the unknown concentration or unknown parameters by using calibration curve.
Calibration curve is also useful in other areas of science. But my intention is towards analysis of conc. of any sample by UV-spectrophotometer.
Well, Whatever area will be, but method of ploting of calibration curve in excel will be same.
So friends,
I am going to tell you about the process to make calibration curve in excel.
Procedure to Make a Calibration Curve in Excel
Before proceeding towards to plot calibration curve in excel. You should have some practical data to plot. After getting practical data, then go towards excel.- Put the obtained data in two columns. (In case of above diagram First column contain Concentration, and second column will contain Absorbances).
- Then Select the both data.
- Click on Insert option in menu.
- Then select the type of graph (XY Scatter).
- After selecting the graph, a graph will appear with your practical data.
- Then right click on any point of data.
- And select the option trend line.
- Choose the options like Show equation on chart, Show R squared value and Select intercept if you want.
- Your calibration curve will be ready along with trendline, Equation (Y=mx+C) and R squared value.
- Format your chart as per your need. (Colour and thickness of line, chart area, Data Points, Legend name, Title of chart, style of chart etc.)
- You can also make a calibration curves in other softwares like Origin.
Some researchers uses intercept in calibration curves while some doesn't. So make sure as per your need.
The equation (Y=mx+C) that is generated by standard calibration curve is used to determine the unknown conc. of any sample.
I Hope you like this article.