Morlet Wavelet Filtering and Phase Analysis to Reduce the Limit of Detection for Thin Film Optical Biosensors.

Morlet Wavelet Filtering and Phase Analysis to Reduce the Limit of Detection for Thin Film Optical Biosensors.
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DOI:
10.1021/acssensors.1c00787
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发表时间:
2021-08-27
期刊:
影响因子:
8.9
通讯作者:
Weiss SM
Weiss SM
中科院分区:
化学1区
文献类型:
--
作者:
Ward SJ;Layouni R;Arshavsky-Graham S;Segal E;Weiss SM

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光学生物传感器的最终检测极限往往受到各种噪声源的限制,包括由光学测量装置引入的噪声源。虽然对仪器的复杂修改可能会降低噪声,但一个更简单的方法可以使所有传感器平台受益,那就是应用信号处理将噪声的有害影响降至最低。在这项工作中,我们证明了将复Morlet小波卷积应用于薄膜反射式生物传感器的法布里-珀罗涉条纹特性,有效地滤除了白噪声和低频反射率变化。随后计算过滤的分析物和参考信号之间的提取相的平均差使得能够显著降低检测限(LOD)。将该方法应用于两个不同实验室的薄膜多孔硅传感器在缓冲溶液和复杂介质中的实验数据集上。使用小波卷积和平均相位差实现的LOD的显著改善,为PSI光学生物传感器在医疗诊断、环境监测和食品安全方面以临床相关的检测极限工作铺平了道路。
The ultimate detection limit of optical biosensors is often limited by various noise sources, including those introduced by the optical measurement setup. While sophisticated modifications to instrumentation may reduce noise, a simpler approach that can benefit all sensor platforms is the application of signal processing to minimize the deleterious effects of noise. In this work, we show that applying complex Morlet wavelet convolution to Fabry-Pérot interference fringes characteristic of thin film reflectometric biosensors effectively filters out white noise and low frequency reflectance variations. Subsequent calculation of an average difference in extracted phase between the filtered analyte and reference signals enables a significant reduction in the limit of detection (LOD). This method is applied on experimental data sets of thin film porous silicon sensors (PSi) in buffered solution and complex media obtained from two different laboratories. The demonstrated improvement in LOD achieved using wavelet convolution and average phase difference paves the way for PSi optical biosensors to operate with clinically relevant detection limits for medical diagnostics, environmental monitoring, and food safety.
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