Kenya's grain milling industry is pivoting toward data-driven strategies to combat widespread aflatoxin contamination that continues to plague staple foods across the country. Industry leaders say conventional mitigation methods have proven insufficient against a problem that now poses significant threats to public health and economic competitiveness.
The Cereal Millers Association (CMA) held its Annual Technical Conference and Expo 2026 in Nairobi earlier this month, drawing more than 70 firms—including millers, technology providers, and agribusiness firms—to examine how advanced data systems could help identify and address contamination at every stage of the supply chain.
CMA CEO Paloma Fernandes said the industry has struggled for years with aflatoxin contamination despite self-regulation efforts and enhanced quality controls. She noted that previous studies revealing widespread presence of the toxin even in commercially processed flour underscore the scale of the ongoing challenge.
"The industry has been working to address this problem, but it remains significant," Fernandes said during the conference.
Aflatoxin, a toxic byproduct of certain fungi, contaminates key staples including maize, peanuts, and dairy products, particularly in high-risk regions across Kenya. The national regulatory limit stands at 10 parts per billion (ppb), yet previous testing indicates that 16 percent of maize flour samples collected in urban areas exceed this threshold.
The persistence of contamination despite years of intervention has raised alarms beyond domestic food safety concerns. Industry observers warn that continued prevalence of the toxin could undermine Kenya's export competitiveness in regional and international markets, where stringent aflatoxin standards are enforced.
Millers contend that integrating data analytics, real-time monitoring systems, and predictive modeling could enable proactive identification of contamination risks before products reach consumers. The approach would represent a shift from reactive testing toward preventive control throughout grain sourcing, storage, and processing operations.
The two-day conference featured exhibitions of emerging technologies designed to detect aflatoxin earlier in the production cycle, with technology providers presenting solutions ranging from portable testing devices to blockchain-based traceability platforms.
Industry observers say the momentum behind data-driven interventions reflects growing recognition that the complexity of aflatoxin contamination requires more sophisticated tools than traditional inspection and quality assurance methods alone can provide.