REIMS Research System with iKnife Sampling for Food and Agricultural Research

Significance of Topic

Modern food and agricultural supply chains demand rapid, reliable profiling of raw materials and finished products to ensure safety, quality, and authenticity. Techniques that eliminate lengthy sample preparation and deliver molecular fingerprints in seconds help protect consumers, maintain market integrity, and combat food fraud on a global scale.

Study Objectives and Overview

This work presents the Waters REIMS Research System combined with the handheld iKnife™ sampling device for direct analysis of food and agricultural specimens. Key aims include rapid species identification, detection of contaminants or adulterants, assessment of carcass quality in meat, and phenotypic profiling in crops—all without chromatography or extensive sample prep.

Methodology and Instrumentation

• Rapid Evaporative Ionization Mass Spectrometry (REIMS) coupled to Time-of-Flight MS for direct vapor analysis
• Handheld iKnife for surface sampling of tissues
• LiveID™ web-based platform for real-time model training and classification
• Progenesis QI software for multivariate analysis (PCA, LDA, OPLS)
• Waters SYNAPT and Xevo mass spectrometers for high-resolution spectra

Key Results and Discussion

• Fish speciation model distinguished five whitefish species with 99% accuracy using >2,000 spectra
• Burger samples containing ≥1% horse meat were reliably identified in seconds
• Boar taint biomarkers in porcine fat correlated with androstenone and skatole levels, enabling early production-line screening
• Ryegrass weed populations (wild type, target-site resistant, multi-herbicide resistant) were differentiated based on lipid and metabolite profiles

Benefits and Practical Applications

• No chromatography or extraction steps shorten analysis to <10 seconds per sample
• Direct molecular fingerprinting supports authenticity testing, quality control, and phenotyping at point of control
• Web-based LiveID enables rapid model building and deployment in diverse laboratory environments

Future Trends and Potential Applications

Advances in machine learning and spectral databases will expand REIMS applications into trace contaminant screening, nutritional profiling, and integrated quality management. Combining REIMS with complementary sampling tools or ambient ionization methods could yield holistic, multi-omic insights in food and crop science.

Conclusion

The REIMS-iKnife platform offers a versatile, ultra-rapid analytical solution for food authenticity, meat quality, and crop phenotyping. Its ability to deliver rich molecular profiles without sample pretreatment meets the growing need for real-time decision making in food and agricultural industries.

References

1. Pardo MÁ, Jiménez E, Pérez-Villarreal B. Misdescription incidents in seafood sector. Food Control. 2016;62(1):277-283.