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A label-free optical biosensor for rapid bacteria detection is introduced. The biosensor is based on a nanostructured porous Si, which is designed to directly capture the target bacteria cells onto its surface. We use monoclonal antibodies, immobilized onto the porous transducer, as the capture probes. Our studies demonstrate the applicability of these biosensors for the detection of low bacterial concentrations within minutes with no prior sample processing (such as cell...
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Source: Barber, A. E., et al. Preparation and Application of a New Bacterial Biosensor for the Presumptive Detection of Gunshot Residue. J. Vis. Exp. (2019).This video demonstrates the detection of specific analytes using a bacterial biosensor. A bacterial culture carrying a plasmid with a red fluorescent protein (RFP) gene under an analyte-sensitive promoter is taken. After thoroughly wiping the test surface, a small section of the wipe is immersed in the culture and incubated. The analyte...
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使用可穿戴生物传感器检测乙醇中毒和损伤

Eric E Kaczor1, Manohar Golleru2, Daniel C Carter1

  • 1Department of Emergency Medicine, University at Buffalo.

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences
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PubMed
概括
此摘要是机器生成的。

需要对酒精中毒采取客观措施. 这项研究表明,手腕穿戴的生物传感器可以使用生理数据和机器学习可靠地检测酒精损伤,达到80%的准确性.

关键词:
酒精中毒 酒精中毒 酒精中毒生物传感器是一种生物传感器.损失损失的情况机器学习是机器学习.

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科学领域:

  • 生物医学工程 生物医学工程
  • 法医科学 法医科学 法医科学
  • 身体生理学 身体生理学

背景情况:

  • 对酒精中毒的客观,实时测量缺乏公共用途.
  • 可穿戴生物传感器为无处不在的,按需的中毒评估提供了潜在的解决方案.

研究的目的:

  • 评估使用腕式生物传感器来评估乙醇中毒的可行性.
  • 为了确定生物传感器的生理数据是否可以准确地表明酒精障碍.

主要方法:

  • 二十八名健康参与者使用手腕穿戴的生物传感器监测心率,皮肤温度,电皮活动和加速度计.
  • 参与者在受控的实验室环境中饮酒,定期进行呼吸酒精含量和实地清醒测试.
  • 机器学习 (XGBoost模型) 用于分析生物传感器数据以检测损伤.

主要成果:

  • 在清醒状态和中毒状态之间观察到生理参数 (心率,皮肤温度,皮电活动,加速度计) 的统计学显著变化.
  • 开发的XGBoost模型在识别酒精障碍时达到0.80的高精度.
  • 通过生物传感器进行持续的生理监测,可以有效地区分中毒水平.

结论:

  • 佩戴在手腕上的生物传感器是评估乙醇中毒的可行工具.
  • 生理学数据与机器学习相结合,可以提供酒精损害的客观测量.
  • 这项技术对现实世界,按需的中毒评估具有前景.