No abstract

Microplatform with timed automata has been leveraged for guiding the preparation of molecules, whereas the requirement of handling expertise and sophisticated instrument is inevitable in combination with heterogeneous catalysis. Here we report a microfluidic-based autolab with open structures, called Put & Play Automated Microplatform (PPAM). It shows the efficient hydrogenation performance of palladium nanoparticles on the triphenylene-based covalent organic frameworks (Pd/TP-COFs) in which the π-π interactions of TP rings in the vicinity of Pd is optimized by easy change-over of catalyst and simple tuning of reactor geometries in PPAM. Using experiment/simulation of the Pd/TP-COFs coating (PCC) and mixing (PCM) across PPAM with different channel sizes, the turnover frequencies are 60 times the commonly used batch reactor, and aniline productivity of 8.8 g h À 1 is achieved in 0.09 cm 3 . This work will raise awareness about the benefits of the catalyst-loaded microplatform in future materials performance campaigns.

Microplatform with timed automata has been leveraged for guiding the preparation of molecules, whereas the requirement of handling expertise and sophisticated instrument is inevitable in combination with heterogeneous catalysis. Here we report a microfluidic‐based autolab with open structures, called Put & Play Automated Microplatform (PPAM). It shows the efficient hydrogenation performance of palladium nanoparticles on the triphenylene‐based covalent organic frameworks (Pd/TP‐COFs) in which the π–π interactions of TP rings in the vicinity of Pd is optimized by easy change‐over of catalyst and simple tuning of reactor geometries in PPAM. Using experiment/simulation of the Pd/TP‐COFs coating (PCC) and mixing (PCM) across PPAM with different channel sizes, the turnover frequencies are 60 times the commonly used batch reactor, and aniline productivity of 8.8 g h−1 is achieved in 0.09 cm3. This work will raise awareness about the benefits of the catalyst‐loaded microplatform in future materials performance campaigns.

Multifunctional strain sensors simultaneously satisfy all the requirements including flexibility, stretchability, biocompatibility and high responsibility to external stimuli are always in high demand for wearable electronics. In this work, we introduced modified bacterial cellulose nanofibers (BCNF) as double network hydrogel-reinforced substrates to prepare MXene-based strain sensor (MPCB). The well-percolated BCNF play important role to reinforce the polymer skeleton and induce the continuous MXene-MXene conductive paths. Consequently, the electrical conductivity was significantly improved and excellent mechanical properties were retained (with the elongation at break over 500%). The prepared hydrogel can act as a wearable sensor for human motion detection, including swallowing movements, finger bending, and wrist bending. They also exhibit promising applications with multiple characteristics, i.e., ideal EMI, adjustable flexibility, self-healing and self-adhesive performance. Our work provides a simple and practical strategy for a new generation of wearable electronic sensor devices.

Multifunctional strain sensors simultaneously satisfy all the requirements including flexibility, stretchability, biocompatibility, and high responsibility to external stimuli, which are always in high demand for wearable electronics. In this work, we introduced modified bacterial cellulose nanofibers (BCNF) as double-network hydrogel-reinforced substrates to prepare an MXene-based strain sensor (MPCB). The well-percolated BCNF play an important role in reinforcing the polymer skeleton and inducing the continuous MXene–MXene conductive paths. Consequently, the electrical conductivity was significantly improved and excellent mechanical properties were retained (with the elongation at break over 500%). The prepared hydrogel can act as a wearable sensor for human motion detection, including swallowing movements, finger bending, and wrist bending. It also exhibits promising applications with multiple characteristics, i.e., ideal EMI, adjustable flexibility, self-healing, and self-adhesive performance. Our work provides a simple and practical strategy for a generation of wearable electronic sensor devices.