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Improving Quality in Nanoparticle-Induced Cytotoxicity Testing by a Tiered Inter-Laboratory Comparison Study
Inge Nelissen1, Andrea Haase2, Sergio Anguissola3,4
1Health Department, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium.
Nanomaterials (Basel, Switzerland)
|July 26, 2020
Summary
Implementing standardized protocols and inter-laboratory comparisons significantly enhances the quality and reproducibility of nanosafety testing. This approach ensures reliable data for sustainable innovation in nanotechnology.
Area of Science:
- Nanotechnology
- Toxicology
- Materials Science
Background:
- Nanosafety studies face challenges in quality and relevance, hindering sustainable innovation.
- Increasingly contradictory research results necessitate harmonized protocols in nanosafety.
- Standardized testing is crucial for reliable nanomaterial risk assessment.
Purpose of the Study:
- To evaluate if best-practice training and inter-laboratory comparison (ILC) improve nanosafety testing quality.
- To assess the performance of the MTS assay for nanomaterial cytotoxicity assessment across multiple labs.
- To enhance the reproducibility of nanotoxicological data.
Main Methods:
- A tiered approach involving 15 European laboratories was employed.
- Standard Operating Procedures (SOPs) and shared materials (cells, serum, nanoparticles) were used.
- Inter-laboratory comparisons (ILCs) of the MTS assay were conducted before and after training.
Main Results:
- A tiered process with SOPs and control nanomaterials improved intra- and inter-laboratory reproducibility.
- Carboxylated polystyrene (PS-COOH) and amino-modified polystyrene (PS-NH2) were validated as control nanoparticles.
- The training and refined MTS assay SOP led to significantly better results in tier 3.
Conclusions:
- A tiered approach with SOPs and control nanomaterials is essential for high-quality nanotoxicological data.
- Best-practice training and ILC enhance inter-laboratory reproducibility in nanosafety testing.
- Standardized methods ensure the reliability of nanosafety data for sustainable innovation.

