AI detects adulterants in food with 98% accuracy

AI in Action: Advancing Food Integrity with AI-powered Detection Tools Following our recent spotlight on DNA in Action, we’re proud to share another example of #ScienceInAction at the Mars Global Food Safety Center in honor of World Food Safety Day. This time, the focus is on fighting food adulteration through AI-powered innovation. As global supply chains become more complex, ensuring food integrity is more essential than ever. It means making sure food is not only safe and nutritious, but also genuine and responsibly sourced. However, economically motivated adulteration (EMA), such as mixing cheaper oils into palm oil, continues to threaten product quality and consumer trust. In collaboration with University of California, Davis, we’ve developed a novel solution: A-TEEM (Absorbance–Transmittance Excitation Emission Matrix) spectroscopy combined with machine learning. This approach delivers over 98% accuracy and 100% sensitivity in detecting adulterants—quickly, reliably and accessibly. What sets this method apart? It’s user-friendly and deployable by non-experts, making it ideal for on-site or routine quality control in industrial settings. With strong potential for in-bound testing, it brings science directly into operational environments, enhancing food safety and reinforcing supply chain integrity across the industry. Learn more from our presentation at the 2025 AOCS Annual Meeting: https://lnkd.in/g_jZSbPv Check out the insights from the core team behind this work to hear how they’re turning innovation into impact—from lab insights to real-world applications. #FoodIntegrity #FoodFraudPrevention #MarsGlobalFoodSafety #SafeFoodForAll #WorldFoodSafetyDay #ScienceInAction #FoodSafety #ProudlyMars Yuzheng Yang Robert Haydu Selina Wang PhD Abigail Stevenson Darren Logan Boris Bolshchikov 彭虹 Yuwei Chang Lidia Esteve Agelet Ronnie van den Broek Steve Revett Jerome COMBRISSON Ph.D Joel Harris Mario Vendrell-Calatayud, PhD Adam Gilmore