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Developing New Criteria for Validity Evaluation of Analytical Methods
Ali Shayanfar1, Saba Ershadi2,3
1Tabriz University of Medical Sciences, Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Golgasht St, Tabriz 51664, Iran.
New criteria for analytical method validation improve accuracy. Evaluating linear range and calibration curves ensures reliable data in chemical and pharmaceutical analysis.
Area of Science:
- Analytical Chemistry
- Pharmaceutical Analysis
- Chemical Sciences
Background:
- Analytical method validation is crucial for accurate chemical substance determination.
- Invalid methods yield incorrect data, impacting pharmaceutical, food, and medical sciences.
- Existing validation guidelines are comprehensive but can be enhanced.
Purpose of the Study:
- To propose novel criteria for evaluating analytical method validity.
- Focus on upper and lower limits of the linear range and calibration curve responses.
- Enhance detection of invalid analytical methods.
Main Methods:
- Analysis of 150 reported analytical methods (separation and non-separation techniques).
- Evaluation of chemical and pharmaceutical compounds (organic and inorganic).
- Comparison of coefficient of determination (R²) with new criteria.
Main Results:
- Coefficient of determination (R²) alone can lead to inaccurate linear range and validation.
- Only 55% of analyzed methods were deemed valid using traditional approaches.
- Proposed criteria offer a more robust assessment of method validity.
Conclusions:
- Established criteria using calibration curve equations and linear range are effective.
- The new criteria are suitable for assessing the validity of analytical methods.
- Improved method validation leads to more reliable scientific data.
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