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Proceedings of the International Cyanide Detection Testing Workshop

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or new matrices.<br />

5.2.3 Modifi cation <strong>of</strong> a network method’s range beyond validated levels.<br />

5.2.4 Modifi cation <strong>of</strong> a network method that may alter its performance specifi cations.<br />

This includes: changes to <strong>the</strong> fundamental science <strong>of</strong> an existing method, equivalence<br />

issues such as substitutions <strong>of</strong> reagents/apparatus, or changes to some instrumental<br />

parameters. Since it is diffi cult to predict <strong>the</strong> results <strong>of</strong> any change, all but <strong>the</strong> most<br />

trivial <strong>of</strong> changes should be evaluated for effects on method performance.<br />

5.3 Performance specifi cations required to validate a method.<br />

5.3.1 Performance specifi cations that should be determined to validate a method will vary<br />

depending on <strong>the</strong> intended use, <strong>the</strong> type <strong>of</strong> method being validated, and <strong>the</strong> degree to<br />

which it has previously been validated. All methods submitted must have all <strong>the</strong> proper<br />

controls and <strong>the</strong> parameters for calibrating and operating <strong>the</strong> method instrumentation<br />

included in <strong>the</strong> written procedure.<br />

5.3.1.1 Typical validation characteristics which should be considered are <strong>the</strong> following:<br />

(See Glossary for defi nitions <strong>of</strong> <strong>the</strong>se characteristics in Appendix 1)<br />

Characteristics <strong>of</strong> quantitative methods<br />

• Method uncertainty<br />

• Minimum quantifi able concentration<br />

• <strong>Detection</strong> limit (See MDL and MDC)<br />

• Applicable analyte concentration range<br />

• Accuracy<br />

• Precision<br />

• Analytical specifi city<br />

• Linearity<br />

• Ruggedness/robustness<br />

• Clinical sensitivity<br />

• Clinical specifi city<br />

5.3.1.2 Validation tools (Ref ORA-LAB SOP# 5.4.5)<br />

The following tools should be used to demonstrate <strong>the</strong> ability to meet method<br />

specifi cations <strong>of</strong> performance:<br />

• Blanks: Use <strong>of</strong> various types <strong>of</strong> blanks enables assessment <strong>of</strong> how much <strong>of</strong> <strong>the</strong><br />

result is attributable to <strong>the</strong> analyte and to o<strong>the</strong>r causes.<br />

• Reference materials and certifi ed reference materials with typical interferences<br />

expected. Use <strong>of</strong> known materials can be incorporated to assess <strong>the</strong> accuracy <strong>of</strong><br />

<strong>the</strong> method, as well as for obtaining information on interferences.<br />

• Fortifi ed (spiked) materials and solutions: Recovery determinations can be<br />

estimated from fortifi cation or spiking with a known amount <strong>of</strong> analyte. (Note:<br />

Understanding that spiked recovery may not be truly representative <strong>of</strong> recovery<br />

from naturally incurred analytes.)<br />

• Replication: Replicate analyses provide a means <strong>of</strong> checking for changes in<br />

precision in an analytical process which could adversely affect <strong>the</strong> results.<br />

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