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<p>Design of a fabric-based glucose sensor substrate with high specific surface area is a feasible way for sensing. In this study, a microarray with high specific surface area was designed and magnetically grown on cotton fabric (MGACS) through magnetic sputtering method. Reduced graphene oxide (RGO) was then coated on the surface of MGACS as a conductive material through in-situ hydrothermal reduction. Finally, copper nanoparticles (CuNPs) were coated to prepare a CuNPs/RGO/MGACS glucose sensor. The fabricated CuNPs/RGO/MGACS glucose sensor exhibits excellent performance in glucose detection, with a response time of less than 10s and a high sensitivity of 930&#xa0;μA&#xa0;mM⁻<sup>1</sup>&#xa0;cm⁻<sup>2</sup> at low glucose concentrations. This sensor also shows remarkable anti-interference capability, reproducibility, and long-term stability, and it can be reliably applied for glucose detection in body fluids and beverages, demonstrating its promising potential to be integrated into wearable device and smart textiles for detecting and monitoring the glucose level in human sweat.</p>

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Glucose sweat sensor based on magnetically grown microarray on cotton fabric

  • 期刊论文

  • 发表日期：

    2026年4月18日

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  • Jingyuan Deng,
  • Hongjia Liu,
  • Yanling Yang,
  • Yan Ma,
  • Tonghua Zhang,
  • Shu Wang,
  • Zhi Li

摘要

Design of a fabric-based glucose sensor substrate with high specific surface area is a feasible way for sensing. In this study, a microarray with high specific surface area was designed and magnetically grown on cotton fabric (MGACS) through magnetic sputtering method. Reduced graphene oxide (RGO) was then coated on the surface of MGACS as a conductive material through in-situ hydrothermal reduction. Finally, copper nanoparticles (CuNPs) were coated to prepare a CuNPs/RGO/MGACS glucose sensor. The fabricated CuNPs/RGO/MGACS glucose sensor exhibits excellent performance in glucose detection, with a response time of less than 10s and a high sensitivity of 930 μA mM⁻1 cm⁻2 at low glucose concentrations. This sensor also shows remarkable anti-interference capability, reproducibility, and long-term stability, and it can be reliably applied for glucose detection in body fluids and beverages, demonstrating its promising potential to be integrated into wearable device and smart textiles for detecting and monitoring the glucose level in human sweat.