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Interference Studies: Hemolysis, Lipemia & Icterus

Interference is anything in a sample that distorts the true analyte result. This page explains how Migibio evaluates the three classic interferents — hemolysis, lipemia, and icterus (HIL) — plus common chemical interferents.

Why Interference Matters for POCT

POCT often uses whole blood or samples collected under less-controlled conditions than a central lab. This makes interference testing more important for POCT, not less — a hemolyzed sample is common in a busy clinic.

The Three Classic Interferents

Interferent Source Affects
Hemolysis (H) RBC rupture (poor collection) Fluorescence quenching, analyte release
Lipemia (L) High triglycerides (non-fasted) Light scattering, matrix effects
Icterus (I) High bilirubin (liver disease) Spectral overlap

Interference Testing Protocol

  1. Spike increasing concentrations of interferent into a sample with known analyte.
  2. Measure the analyte at each interferent level.
  3. Compare to the un-spiked value — a deviation beyond a threshold (e.g., ±10%) indicates interference.

FICT's Advantage: Spectral Separation

Fluorescence detection uses spectral separation — the excitation and emission wavelengths are distinct from interferent absorption. This inherently reduces (though does not eliminate) HIL interference compared to absorbance-based methods.

FAQ

How much hemolysis is acceptable? It is assay-specific and stated in the IFU. Instrument spectral correction and sample-QC prompts flag grossly hemolyzed samples.

Does lipemia always interfere? Not always — it depends on the analyte and the degree of lipemia. The IFU specifies acceptable limits for each assay.

For the full validation framework, see Validation Methodology.

Authored by: Migibio Clinical & Scientific Affairs, Guangzhou Magic Biotech Co., Ltd.

Reviewed by: Migibio R&D Quality Committee

Last updated: 2026-08-13

Disclosure: Migibio (Guangzhou Magic Biotech Co., Ltd.) is the manufacturer of the FIA680/FIA880 analyzers and FICT reagents referenced in this content. See our Editorial & Review Policy.

Contact: Martin.Wong  ·  Phone (WhatsApp): +86 13323237275  ·  Email: [email protected]
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