discuss why is standard addition method preferred calibration method for AA
Solution
Standard Addition method is a quantitative analysisis used to determine the concentration of chemicals in solution. Standard addition method is preffered over calibration method because due to matrix interference or matrix effect a calibration curve can not be used accurately to determine the analyt\'s concentration. Now, what is matrix effect?
To create a calibration curve by measuring the signals of known quantities, called the analyte - in response to some analytical method, the calibration curve is used to interpolate or extrapolate the signal of the solution of interest to obtain the analyte\'s concentration. However, if other components in the solution distort the analyte\'s signal. This distortion is called a matrix interference or matrix effect , and a solution with a matrix effect would give a different signal compared to a solution containing purely the analyte.
A commonly used technique to overcome matrix interferences is standard addition . This involves adding known quantities of the analyte to the solution and measuring the solution\'s analytical signals in response to each addition. Assuming that the analytical signal still changes proportionally to the concentration of the analyte in the presence of matrix effects, a calibration curve can be obtained based on simple linear regression . The analyte\'s concentration in the solution before any additions of the standard can then be extrapolated from the regression line.
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Why Standard Addition is Preferred for AA Calibration Due to Matrix Effects
1. discuss why is standard addition method preferred calibration method for AA
Solution
Standard Addition method is a quantitative analysisis used to determine the concentration of
chemicals in solution. Standard addition method is preffered over calibration method because
due to matrix interference or matrix effect a calibration curve can not be used accurately to
determine the analyt's concentration. Now, what is matrix effect?
To create a calibration curve by measuring the signals of known quantities, called the analyte -
in response to some analytical method, the calibration curve is used to interpolate or extrapolate
the signal of the solution of interest to obtain the analyte's concentration. However, if other
components in the solution distort the analyte's signal. This distortion is called a matrix
interference or matrix effect , and a solution with a matrix effect would give a different signal
compared to a solution containing purely the analyte.
A commonly used technique to overcome matrix interferences is standard addition . This
involves adding known quantities of the analyte to the solution and measuring the solution's
analytical signals in response to each addition. Assuming that the analytical signal still changes
proportionally to the concentration of the analyte in the presence of matrix effects, a calibration
curve can be obtained based on simple linear regression . The analyte's concentration in the
solution before any additions of the standard can then be extrapolated from the regression line.
