非特异性可变形纳米凝胶和等离子体光学探针的组合为使用通用识别层的特定感测提供了创新的解决方案。软聚丙烯酰胺纳米凝胶,缺乏特定的选择性,但以响应行为为特征,即,收缩和膨胀取决于周围环境,被接枝到金等离子体激元D形塑料光纤(POF)探针上。用水或醇溶液周期性挑战的纳米凝胶-POF光学报道了纳米材料的可逆溶剂-相变,体现一个主要的光开关。此外,非特异性纳米凝胶-POF界面表现出更多的自由度,通过该自由度能够实现特异性感测。由于纳米凝胶与时间相关的体积-相变效应,折射率变化的实时监测使我们能够确定环境的特征并对溶剂进行广泛分类。因此,纳米凝胶-POF界面是用于物质识别和分类过程的数学函数的描述符。这些结果体现了响应性非特定纳米材料的概念,以执行环境的多参数描述,为处理阶段提供一组特定的功能,特别适合机器和深度学习。因此,软MathMaterial接口为设计适用于下一代智能智能传感过程的设备提供了基础。
The combination of non-specific deformable nanogels and plasmonic optical probes provides an innovative solution for specific sensing using a generalistic recognition layer. Soft polyacrylamide nanogels that lack specific selectivity but are characterized by responsive behavior, i.e., shrinking and swelling dependent on the surrounding environment, were grafted to a gold plasmonic D-shaped plastic optical fiber (POF) probe. The nanogel-POF cyclically challenged with water or alcoholic solutions optically reported the reversible solvent-to-phase transitions of the nanomaterial, embodying a primary optical switch. Additionally, the non-specific nanogel-POF interface exhibited more degrees of freedom through which specific sensing was enabled. The real-time monitoring of the refractive index variations due to the time-related volume-to-phase transition effects of the nanogels enabled us to determine the environment\'s characteristics and broadly classify solvents. Hence the nanogel-POF interface was a descriptor of mathematical functions for substance identification and classification processes. These results epitomize the concept of responsive non-specific nanomaterials to perform a multiparametric description of the environment, offering a specific set of features for the processing stage and particularly suitable for machine and deep learning. Thus, soft MathMaterial interfaces provide the ground to devise devices suitable for the next generation of smart intelligent sensing processes.