论文标题
使用多孔硅阵列和机器学习捕获无效的生物传感
Capture Agent Free Biosensing using Porous Silicon Arrays and Machine Learning
论文作者
论文摘要
生物传感器是医疗诊断，环境监测和食品安全的重要工具。通常，生物传感器旨在通过适当的捕获剂功能化来检测特定分析物。但是，捕获剂的使用限制了可以同时检测到的分析物的数量，并降低了生物传感器的鲁棒性。在这项工作中，我们报告了一种基于一系列多孔硅（PSI）薄膜的多功能，捕获无生物传感器平台，该平台有可能根据纳米级多孔培养基中的物理和化学特性来稳健地检测到各种各样的分析物。通过利用PSI阵列元素，具有孔径尺寸和缓冲液的独特组合，将psi数组元素与lineartional Synection a Splacterality降低vector vector Vector Machines一起使用，该系统通过使用PSI阵列元素将psi数组元素与支持VECTOR MACERAS A SPLACTECTOR MACERAS A STRAPTIFER MACHIER一起用作孔径和缓冲液的独特组合来证明该系统能够降低至少0.02g/L的浓度（在300nm和450nm之间），从而降低了至少0.02g/L（在300nm至450nm之间），证明了该系统的分类，定量和区分三种蛋白质的能力。这种方法代表了迈向低成本，简单且强大的生物传感器平台的重要一步，该平台能够检测到广泛的生物分子。
Biosensors are an essential tool for medical diagnostics, environmental monitoring and food safety. Typically, biosensors are designed to detect specific analytes through functionalization with the appropriate capture agents. However, the use of capture agents limits the number of analytes that can be simultaneously detected and reduces the robustness of the biosensor. In this work, we report a versatile, capture agent free biosensor platform based on an array of porous silicon (PSi) thin films, which has the potential to robustly detect a wide variety of analytes based on their physical and chemical properties in the nanoscale porous media. The ability of this system to reproducibly classify, quantify, and discriminate three proteins is demonstrated to concentrations down to at least 0.02g/L (between 300nM and 450nM) by utilizing PSi array elements with a unique combination of pore size and buffer pH, employing linear discriminant analysis for dimensionality reduction, and using support vector machines as a classifier. This approach represents a significant step towards a low cost, simple and robust biosensor platform that is able to detect a vast range of biomolecules.
