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生物传感器的最新进展用于检测多种抗生素
Ning Lu1, Juntao Chen1, Zhikang Rao1
1School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Biosensors
|September 27, 2023
概括
滥用抗生素威胁到健康,需要快速多抗生素检测传感器. 本综述探讨了生物传感器和人工智能/机器学习 (AI/ML) 对于有效的抗生素监测.
科学领域:
- 分析化学 分析化学
- 生物技术是生物技术.
- 环境科学 环境科学
背景情况:
- 滥用抗生素对全球健康构成重大风险,需要快速有效的检测方法.
- 生物传感器为同时检测多种抗生素提供了高特异性.
- 人工智能/机器学习 (AI/ML) 显示了增强生物传感器能力的潜力.
研究的目的:
- 审查生物传感器的最新进展,以便同时检测多种抗生素.
- 分析各种生物传感器技术的特性和应用.
- 探索AI/ML算法在抗生素检测生物传感器中的集成.
主要方法:
- 对用于多抗生素检测的生物传感器的综合文献综述.
- 对不同检测机制和生物识别元素的分析.
- 适用于生物传感器数据的相关AI/ML算法的摘要.
主要成果:
- 确定了各种生物传感器平台,用于同时检测抗生素.
- 对比不同类型的生物传感器的性能和应用.
- 突出了AI/ML算法,证明了抗生素检测的强大潜力.
结论:
- 生物传感器对于快速,具体检测多种抗生素至关重要.
- 人工智能和ML集成为智能,便携式抗生素传感解决方案提供了一条途径.
- 进一步的研究可以利用AI/ML来推进抗生素监测技术.
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