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Updated: Feb 11, 2026

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基于MIP的电化学传感器具有机器学习,用于精确检测蛋白质和葡萄糖丰富的尿液中的ZIKV

Wannisa Sukjee1, Pichai Sirisangsawang2, Chutima Thepparit3

  • 1Department of Chemistry, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand; Center for Advanced Studies in Nanotechnology for Chemical, Food, and Agricultural Industries, Kasetsart University Institute for Advanced Studies, Kasetsart University, Bangkok, 10900, Thailand; Advanced Porous Materials for One Health Integrations (APM Unit), Special Research Incubator Unit, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand.

Analytical biochemistry
|March 28, 2025
PubMed
概括

这项研究开发了一种电化学生物传感器,使用一种新型共聚物用于直接检测尿液中的寨卡病毒. 机器学习分析解决了复杂尿样中的信号模两可,实现了可靠的寨卡病毒诊断的91%准确性.

关键词:
电化学传感器是一种电化学传感器.机器学习 机器学习分子印记聚合物 (MIP) 是一种分子印记聚合物.尿液 尿液 尿液寨卡病毒 (ZIKV) 病毒

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