Spatial Fingerprinting: Horizontal Fusion of Multi-Dimensional Bio-Tracers as Solution to Global Food Provenance...

Area of Science:

• Food science and ecology
• Bio-geographical traceability studies

Background:

• Determining food provenance is vital for global food system sustainability.
• The efficacy of multi-tracer approaches for provenance is not fully understood.

Purpose of the Study:

• To demonstrate the power of bio-tracer data fusion for geographical provenance discrimination.
• To identify conditions under which multi-tracer approaches are most effective.

Main Methods:

• Extensive simulations to model the efficacy of bio-tracer data fusion.
• Application of statistical methodologies, including artificial intelligence.
• Proof-of-concept analysis on Sockeye salmon using 17 bio-tracers.

Main Results:

• Geographical relationships between bio-tracers create a spatial fingerprint for identification.
• Increased numbers of combined bio-tracers lead to enhanced discriminatory power.
• The approach shows promise for highly mobile species like salmon and tuna.

Conclusions:

• Data fusion of bio-tracers is a powerful technique for geographical provenance discrimination.
• This method can enable rapid identification with limited data, supporting food sustainability.
• The approach is applicable to various species, including highly mobile commercial fisheries.