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Related Experiment Videos

Deep Learning-Assisted Dual-Mode Lanthanide MOF/Anthocyanins Platform for Real-Time Pork Freshness Sensing.

Yali Zhao1, Shiqi Sun1, Ezgi Pulatsu2

  • 1School of Food Science and Technology, Jiangnan University, No.1800 Lihu Avenue, Wuxi, Jiangsu 214122, China.

ACS Sensors
|June 18, 2026
PubMed
Summary

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A new dual-mode sensor array using fluorescent probes and anthocyanins offers real-time pork freshness monitoring. This intelligent system provides early spoilage warnings and visual cues for accurate food safety assessment.

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Food Science

Background:

  • Accurate monitoring of meat freshness is crucial for food safety and intelligent food systems.
  • Existing methods often lack real-time capabilities or high precision.
  • Challenges include detecting volatile compounds indicative of spoilage.

Purpose of the Study:

  • To develop a dual-mode sensor array for real-time, high-precision pork freshness monitoring.
  • To combine ratiometric fluorescent lanthanide metal-organic frameworks (Ln-MOFs) with pH-responsive anthocyanins.
  • To create an intelligent sensing system for early spoilage detection and visual discrimination.

Main Methods:

  • Engineered "traffic-light" ratiometric fluorescent probes by doping Eu³⁺ and Tb³⁺ into UiO-66-OH.
Keywords:
deep learningdual-mode sensingintelligent packaginglanthanide MOFsmeat freshnesspH-responsive colorants

Related Experiment Videos

  • Combined Ln-MOFs with pH-responsive anthocyanins to create a dual-mode sensor array.
  • Utilized fluorescence and colorimetric signals for spoilage detection, coupled with convolutional neural networks for classification.

    • Main Results:

    • Probes showed high sensitivity and specificity to ammonia and biogenic amines (e.g., ammonia LOD as low as 1.224 ppm).
    • The dual-mode array exhibited robust fluorescence-colorimetric responses and excellent color stability over 14 days.
    • Achieved high-accuracy classification (up to 97.8%) of pork into fresh, less fresh, and spoiled states using AI.

    Conclusions:

    • The developed dual-mode sensor array provides a reliable solution for real-time pork freshness monitoring.
    • The system offers sensitive early-warning capabilities for spoilage detection.
    • This technology is suitable for intelligent food packaging and logistics, enhancing food safety.