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<p>Glucose detection is essential in industrial testing and biopharmaceutical applications. There is a significant market demand for low-cost, high-sensitivity, and rapid glucose sensors that are user-friendly. This demand has attracted considerable attention from the industry and has driven efforts to develop innovative glucose sensor devices. In response, we propose a fast, label-free glucose sensor based on surface plasmon resonance (SPR) that utilizes Ag–Ag@CoO nanoflower structures. Compared to pure silver-based sensors, the sensitivity of the sensor modified with Ag@CoO nanoflowers is enhanced by 150.70%, reaching 3763.29&#xa0;nm/RIU, with a glucose concentration sensitivity of 431.2&#xa0;nm/vol%. This enhancement is attributed to the CoO nanoflowers, which provide abundant active sites for the attachment of glucose molecules. This novel SPR sensor offers a universal platform with high sensitivity for glucose detection.</p>

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Surface Plasmon Resonance Sensor Based on Ag@CoO/Ag Nanoflower Material

  • 期刊论文

  • 发表日期：

    2025年3月10日

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  • Qi Wang,
  • Heya Zheng,
  • Yanpei Xu,
  • Liang Guo,
  • Jingjing Sang

摘要

Glucose detection is essential in industrial testing and biopharmaceutical applications. There is a significant market demand for low-cost, high-sensitivity, and rapid glucose sensors that are user-friendly. This demand has attracted considerable attention from the industry and has driven efforts to develop innovative glucose sensor devices. In response, we propose a fast, label-free glucose sensor based on surface plasmon resonance (SPR) that utilizes Ag–Ag@CoO nanoflower structures. Compared to pure silver-based sensors, the sensitivity of the sensor modified with Ag@CoO nanoflowers is enhanced by 150.70%, reaching 3763.29 nm/RIU, with a glucose concentration sensitivity of 431.2 nm/vol%. This enhancement is attributed to the CoO nanoflowers, which provide abundant active sites for the attachment of glucose molecules. This novel SPR sensor offers a universal platform with high sensitivity for glucose detection.