The fluorescence of chemical compounds depends on a variety of chemical and physical factors. Two of them are viscosity and polarity; however, in the case of fluorescence sensing, external factors can act only in proximity to fluorescent molecules, and for that reason, they are called microviscosity and micropolarity. During polymerization, the microviscosity and micropolarity change, inducing a change in the emission spectra of fluorescent molecules. This change can be monitored to provide information about polymerization processes. Owing to simplification, minimalization, miniaturization, reduction of the financial outlay, and possible attunement with computer-controlled techniques, the adaptive fluorescent probe technique (FPT) can be applied as one of the most interesting gauges in the Internet of Things (IoT), enabling an online preview of ongoing photopolymerization processes using a single sensor. Owing to this simplification, the FPT can be unified with existing technologies, for example, DLP 3D printing, and can provide unique information about the polymerization process. The synthesis, validation, and application of the simplified FPT as an IoT polymerization sensor are discussed in this paper.

中文翻译：

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用于物联网应用的光学荧光传感器，可直接可视化聚合物基质的固化过程

化合物的荧光取决于多种化学和物理因素。其中两个是粘度和极性；然而，在荧光传感的情况下，外部因素只能在荧光分子附近起作用，因此，它们被称为微粘度和微极性。在聚合过程中，微粘度和微极性发生变化，导致荧光分子的发射光谱发生变化。可以监控这种变化以提供有关聚合过程的信息。由于简化、最小化、小型化、财务支出的减少以及与计算机控制技术的可能协调，自适应荧光探针技术（FPT）可以作为物联网（IoT）中最有趣的测量仪之一应用，使用单个传感器可以在线预览正在进行的光聚合过程。由于这种简化，FPT 可以与现有技术（例如 DLP 3D 打印）相结合，并可以提供有关聚合过程的独特信息。本文讨论了简化的 FPT 作为物联网聚合传感器的合成、验证和应用。