一个多模微纤维光谱生物传感器用于通过AI诊断测量CEACAM5
Yuhui Liu1,2, Weihao Lin1,3, Fang Zhao1
1Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Biosensors
|January 26, 2024
概括
使用纤维光谱和人工智能的新型生物传感器检测癌胚抗原 (CEACAM5),这是一个关键的癌症生物标志物. 这项技术提供了高度敏感和准确的监测,用于分析治疗后的患者状况.
科学领域:
- 生物医学工程 生物医学工程
- 光电学是指光电子产品.
- 人工智能的人工智能
背景情况:
- 癌胚抗原 (CEACAM5) 是癌症监测的关键瘤生物标志物.
- 准确检测CEACAM5对于评估治疗疗效和疾病进展至关重要.
研究的目的:
- 开发一种新型生物传感器,用于灵敏而准确的CEACAM5检测.
- 利用纤维光谱和2D-CNNs进行增强的生物标志物分析.
主要方法:
- 一个用CEA抗体修改的形多模纤维 (MMF) 生物传感器被制造出来.
- 货币市场基金生成的光谱图用零平均值规范交叉相关性 (ZNCC) 函数进行分析.
- 使用2D-CNN处理光谱数据并提高检测准确性.
主要成果:
- 生物传感器对CEACAM5度表现出高灵敏度,从1到1000 ng/mL.
- 在1-50 ng/mL范围内实现了0.0012 (ng/mL) -1的表面灵敏度.
- 在CEACAM5监控中,2D-CNN模型实现了0.358%的最大检测误差.
结论:
- 拟议的纤维光谱生物传感方案为CEACAM5检测提供了一种灵敏而准确的方法.
- 这种方法对术后患者监测和癌症管理具有重大潜力.
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