Deep Learning-Assisted Dual-Mode Lanthanide MOF/Anthocyanins Platform for Real-Time Pork Freshness Sensing
Abstract
Real-time and accurate monitoring of meat freshness remains a critical challenge for intelligent food-sensing systems. Herein, a dual-mode sensor array was developed by combining ratiometric fluorescent lanthanide metal−organic frameworks (Ln-MOFs) with pH-responsive anthocyanins for real-time, high-precision monitoring of pork freshness. Specifically, two “traffic-light” ratiometric fluorescent probes were engineered by doping Eu 3+ and Tb 3+ into UiO-66-OH. These probes exhibited exceptional sensitivity and specificity toward ammonia and biogenic amines, achieving detection limits for ammonia as low as 1.224 ppm (Eu 3+ -doped) and 2.359 ppm (Tb 3+ -doped). Furthermore, the dual-mode array demonstrated robust fluorescence-colorimetric responses and outstanding color stability (Euclidean distance
Fields of Study & Subjects
Metal-Organic Frameworks: Synthesis and Applications
Gas Sensing Nanomaterials and Sensors
Advanced Nanomaterials in Catalysis
Publication details
- Journal / source
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Volume
- 11
- Issue
- 9
- Pages
- 7977-7989
- Publication date
- 18 June 2026
- Language
- EN