Enzyme-linked immunosorbent assays (ELISA) have been an established method in analytics for decades—especially for determining mycotoxins in food. Nevertheless, false positive results regularly occur in routine analytics, which not only cause additional costs due to confirmatory analyses but can also severely disrupt production and supply chains. In this article, we shed light on the causes of this problem and present SAFIA (Suspension Array Fluorescence Immuno Assay), a technological advance that specifically addresses the weaknesses of classic ELISA methods.
ELISA – principle and use in mycotoxin analysis
ELISA is based on the specific binding of antibodies to the target molecule (e.g., a mycotoxin), usually on a solid phase such as a microplate surface. After adding an enzyme-labeled secondary antibody and a color-producing substrate, the color reaction occurs – quantitatively measurable by photometry. Due to its cost-effectiveness and user-friendliness, this method is widely used for screening aflatoxins, ochratoxin A, DON, and others.
Analytical challenges in food matrices
Food samples are analytically challenging matrices. Fat content, proteins, natural colorants, and other matrix components can interfere directly or indirectly with the components of the assay. This often leads to non-specific signals, especially in ELISA.
Causes of false positive ELISA results:
SAFIA – Particle-based immunoassay for robust and valid results
SAFIA represents a technological advancement in which the immune reaction takes place on specially developed, patented microparticles. These particles offer defined, inert-coated surfaces and enable highly specific binding with low background noise.
Advantages of SAFIA over ELISA:
Conclusion for laboratory managers and food manufacturers
False positive results in ELISA can lead to unnecessary uncertainty, costs, and loss of reputation. For analytically demanding samples – especially from complex food matrices – the use of modern, particle-based immunoassays such as SAFIA is recommended. The higher robustness, more specific analysis, and additional control against matrix interference provide laboratories and manufacturers with valid, reproducible results – and thus a reliable basis for quality decisions and legal compliance.
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