Practical laboratory knowledge for instruments, analytical workflows, sample integrity, calibration, and safe operation.
Category
Analytical MethodsChoosing analytical chemistry equipment is a method decision, not just a purchasing decision. This article explains how laboratories can match instruments, qualification needs, traceability and throughput with reliable…
Service and ValidationA practical guide to validating incoming API data in Lumen, covering controller validation, manual validators, database-backed rules, JSON error behavior, and test coverage.
Service and ValidationThis article compares hot air oven and autoclave sterilization from a validation perspective, including load selection, monitoring, records, and common failure points.
Sample PreparationA practical guide to MALDI-TOF sample preparation, including matrix selection, extraction choices, spotting methods, contamination control, quality checks, and troubleshooting for peptides, proteins, microbes, glycans, and related sample…
Sample PreparationA practical guide to selecting and preparing ATR, KBr pellet, mull, thin film, liquid cell, gas cell and diffuse reflectance samples for infrared spectroscopy.
Laboratory SafetyA practical guide to five laboratory safety rules that can be posted, trained and audited in daily lab work without replacing a site-specific safety plan.
Laboratory SafetyA practical guide to lab rules and safety for chemical, biological, equipment and waste hazards, with guidance on turning regulatory principles into routine laboratory practice.
Calibration and MetrologyA practical guide to the Navy METCAL program, including TMDE control, traceability, laboratory roles, measurement risk, and calibration planning for readiness.
Calibration and MetrologyThis article explains how laboratories can classify instruments, set calibration priorities, manage traceability, and control metrology risk without applying the same controls to every item.
Analytical MethodsA practical guide to common lab analytical instruments used in modern analytical methods, including selection, qualification, validation and data integrity considerations.