Achieving high confidence in analytical results for food fraud investigations is a complex challenge. However, data fusion is revolutionizing the way we detect and deter food fraud—offering greater reliability, accuracy, and cost-effectiveness than single-method approaches. This webinar explores how integrating diverse data sources including elemental and molecular spectroscopic fingerprints through to organic mass spectrometry profiles enhances food authenticity testing. You will discover how different fusion strategies, from low- to high-level integration, are applied in real-world case studies, including determining the geographic origin of salmon and soy, and identifying varieties of premium teas. The session will conclude with some thoughts about how the data fusion approach could overcome some of the very big authenticity challenges such as olive oil and honey analysis.
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