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Laboratory study demonstrates sensitive ATP and Escherichia coli detection using a CMOS biosensor, highlighting a low-cost, low-volume alternative for point-of-need hygiene monitoring.
Rapid and reliable microbial contamination detection is essential for hygiene monitoring in food production, healthcare, and environmental settings. Although ATP-based bioluminescence assays are widely used for rapid cleanliness assessment, conventional luminometer-based systems are limited by high cost, large sample volume requirements, limited dynamic range, and lack of bacterial specificity. In this work, we present an improved CMOS-based bioluminescent biosensing platform for quantitative ATP detection and species-selective detection of Escherichia coli . The platform integrates SuperSnap ATP chemistry and MicroSnap E. coli enzyme-specific assays with a CMOS image sensor housed in a light-tight optical enclosure, enabling chemiluminescence detection using sample volumes as low as 10 μL. Quantitative ATP measurements in SuperSnap buffer exhibited strong linearity and good agreement with a commercial luminometer, achieving a limit of detection of3.51 nM ATP. When normalized to absolute ATP amount, the CMOS platform demonstrated sensitivity comparable to that of the luminometer despite operating with a 30-fold smaller sample volume. In contrast to the luminometer, which saturated at approximately 75 nM ATP, the CMOS platform maintained linear response up to 200 nM ATP, demonstrating a substantially broader dynamic range without requiring sample dilution. Selective E. coli detection achieved a limit of detection of approximately 412 CFU mL -1 following 6-hour enrichment and 10 min detection, while maintaining selective response in mixed bacterial samples containing Staphylococcus epidermidis . Performance was further validated through representative surface sampling and controlled surface contamination experiments. Overall, the CMOS-based platform provides a low-cost and portable alternative to conventional luminometers for both rapid hygiene monitoring and targeted microbial detection at the point-of-need.
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Abbasi et al. (2026) studied this question.
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