Sample Management

Definition

Sample management is the systematic process of handling, tracking, storing, and disposing of laboratory samples to maintain their integrity, traceability, and chain of custody.

Overview

Proper sample management is essential for reliable analytical results. From receipt through analysis and disposal, each sample must be tracked with documented handling to ensure data integrity and traceability.

Technical Explanation

Sample Management Lifecycle: 1. Receipt: Sample logged, labeled with unique ID, condition noted 2. Storage: Appropriate conditions (temperature, light protection, humidity) 3. Preparation: Aliquoting, weighing, dissolution (documented) 4. Analysis: QC testing according to analytical methods 5. Archiving: Retained samples stored per retention policy 6. Disposal: Proper disposal per safety and environmental guidelines

Key Principles: - Unique sample ID for every sample - Chain of custody documentation - Proper labeling (contents, concentration, date, handler) - Segregation (incoming vs. released vs. retained) - Temperature monitoring for stored samples - Controlled access

Importance in Peptide Documentation

Sample management practices affect the reliability of COA data. Good sample management ensures that the sample tested is representative of the batch and that results are reproducible.

Related Terms

• Quality Control
• Analytical Method
• Laboratory Best Practice

Frequently Asked Questions

Q: How long are retained samples kept? A: Retention periods vary. Research-grade peptides may be retained for 1–3 years after the batch expiry date. GMP-grade materials typically have longer retention.

Q: Why is sample tracking important? A: Sample tracking ensures that test results can be traced back to the specific sample tested, maintaining data integrity and enabling investigation if quality issues arise.