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May 7, 2025SmallOpen Access

Design Principles of Nanosensors for Multiplex Detection of Contaminants in Food

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Authors

YZYang ZhangJiangsu UniversitySGShipeng GaoJiangsu UniversityHLHongbin LiUniversity of British Columbia

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Implication

Review summarizes nanosensor design principles for multiplex contaminant detection in food samples, highlighting strategies to improve sensitivity and point-of-use screening.

Key Points

  • Summarize recent advances in the design, sensitivity, and selectivity of nanoparticle-based sensors capable of simultaneously detecting multiple food contaminants.
  • Reviewed recent literature on nanosensors developed for multiplex sensing of toxins and pathogens in food samples.
  • Assessed sensor architecture, sensitivity, selectivity, and operational feasibility for high-throughput and point-of-use testing by non-specialized personnel.
  • Multiplex nanosensor platforms successfully enable concurrent detection of diverse foodborne contaminants, surpassing single-target detection in monitoring efficiency.
  • Recent design strategies based on functionalized nanoparticles demonstrate adequate selectivity and sensitivity to meet practical food safety and field-testing requirements.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/6a813a31046b5fb0cc648e49https://doi.org/10.1002/smll.202412271
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