Accuracy % Recovery Calculation

% Recovery Formula:

\[ \%\ Recovery = \frac{Measured\ Value}{True\ Value} \times 100 \]

% Recovery:

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1. What is % Recovery Calculation?

The % Recovery calculation is a measure of accuracy in analytical chemistry and quality control that determines how close a measured value is to the true or expected value. It quantifies the efficiency of an analytical method or process.

2. How Does the Calculator Work?

The calculator uses the % Recovery formula:

\[ \%\ Recovery = \frac{Measured\ Value}{True\ Value} \times 100 \]

Where:

\( Measured\ Value \) — The value obtained from measurement or analysis
\( True\ Value \) — The known or expected reference value

Explanation: The formula calculates the percentage ratio of the measured value to the true value, providing a measure of analytical accuracy and method performance.

3. Importance of % Recovery Calculation

Details: % Recovery is crucial for validating analytical methods, assessing measurement accuracy, ensuring quality control in laboratories, and verifying the reliability of experimental results across various scientific fields.

4. Using the Calculator

Tips: Enter both measured value and true value in consistent units. Both values must be positive numbers. The calculator will compute the percentage recovery.

5. Frequently Asked Questions (FAQ)

Q1: What does a 100% recovery indicate?
A: A 100% recovery indicates perfect accuracy where the measured value exactly matches the true value.

Q2: What is considered an acceptable % recovery range?
A: Acceptable ranges vary by industry and method, but typically 95-105% is considered acceptable for most analytical applications.

Q3: Can % recovery be greater than 100%?
A: Yes, % recovery can exceed 100% if the measured value is higher than the true value, indicating potential over-recovery or positive bias in the method.

Q4: How is % recovery used in method validation?
A: % recovery is used to assess accuracy during method validation by analyzing samples with known concentrations and calculating how close the results are to expected values.

Q5: What factors can affect % recovery results?
A: Sample matrix effects, interference, instrument calibration, sample preparation techniques, and analytical method specificity can all affect recovery results.