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增强的等离子生物传感器与机器学习用于超灵敏检测

M Sahaya Sheela1, A Ponraj2, S Kumarganesh3

  • 1Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.

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|January 4, 2026
PubMed
概括

No abstract available in PubMed .

关键词:
贝叶斯优化生物光子学生物传感器机器学习等离子生物传感器随机森林敏感性表面增强的雷曼光谱表面等离子体共振超灵敏的检测

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
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