aceAI-Enabled Mixed Potential Sensor Array for Complex VOC Mixture Decoding and Real-Time Methanol-Risk Assessment in Baijiu
Accurate identification of complex gas mixtures in dynamic real-world environments is essential for environmental monitoring, food safety, and public health. However, these challenges arise mainly from overlapping response fingerprints of chemically similar hazardous analytes and the limited capability of conventional sensors to decouple multicomponent, concentration-coupled signals. Here, we report a ZnFe2O4/MoO3 mixed potential sensor array enabled by a material-device-algorithm co-design strategy. Through com…
A ZnFe2O4/MoO3 sensor array paired with a CNN-BiLSTM model separated methanol, ethanol and n-butanol mixtures and identified Baijiu samples over the statutory methanol limit with above 98.89% accuracy.
Evidence
- Peer-reviewedACS Sensors2026-10-16
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Truvace Impact Record TRV-2026-1945, v1: “AI-Enabled Mixed Potential Sensor Array for Complex VOC Mixture Decoding and Real-Time Methanol-Risk Assessment in Baijiu.” Truvace, 2026-10-19. /record/TRV-2026-1945 (accessed at citation time). sha256 bb11ce007d6f4c3b…
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