To reduce the likelihood of false positives, researchers and practitioners can adopt several strategies:
Rigorous Protocols: Implementing stringent protocols for sample preparation, handling, and analysis can minimize contamination and interference. Multiple Detection Methods: Using more than one detection method can provide corroborative evidence, reducing the chance of false positives. Proper Instrument Calibration: Regularly calibrating equipment ensures accurate readings and reduces instrumental errors. Control Experiments: Conducting control experiments alongside actual tests can help identify and account for potential false positives.
