What are recommended practices for labeling and documenting samples to ensure integrity?

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Multiple Choice

What are recommended practices for labeling and documenting samples to ensure integrity?

Explanation:
Reliable labeling and documentation ensure traceability and integrity of samples throughout collection, transport, storage, and analysis. Durable labels with a unique ID tie every result to the exact sample. Including date and time, collection location, sample type, preservative, and container type provides essential context to interpret results and catch mix-ups or degradation. Logging this information in a chain-of-custody or formal log creates an auditable trail of who handled the sample and when, supporting accountability and regulatory compliance. Storing samples under appropriate conditions and taking steps to prevent cross-contamination—such as using clean containers, secure seals, and careful handling—protects the sample’s integrity. Using generic labels or abbreviations increases the chance of misidentification. A sticky note inside the lid is unreliable; notes can detach, fade, or be misplaced, compromising the link between the sample and its data. Recording data only after analysis removes the ability to verify identity throughout the workflow, breaking traceability and QA/QC.

Reliable labeling and documentation ensure traceability and integrity of samples throughout collection, transport, storage, and analysis. Durable labels with a unique ID tie every result to the exact sample. Including date and time, collection location, sample type, preservative, and container type provides essential context to interpret results and catch mix-ups or degradation. Logging this information in a chain-of-custody or formal log creates an auditable trail of who handled the sample and when, supporting accountability and regulatory compliance. Storing samples under appropriate conditions and taking steps to prevent cross-contamination—such as using clean containers, secure seals, and careful handling—protects the sample’s integrity.

Using generic labels or abbreviations increases the chance of misidentification. A sticky note inside the lid is unreliable; notes can detach, fade, or be misplaced, compromising the link between the sample and its data. Recording data only after analysis removes the ability to verify identity throughout the workflow, breaking traceability and QA/QC.

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