The in-situ polymerization controlled growth of perovskite has been demonstrated as a general strategy to effectively repair grain boundary defects. However, the highly active, volatile, and brittle cross-linked scaffolds of...
Grain boundary cracks in flexible perovskite films can be repaired by filling with self-repairing polymers during the preparation and wearable operation.However, the self-repairing polymers are commonly active through external heating or humidification treatments, which cannot match with the human body's temperature tolerance of wearable devices. Herein, a body temperatureresponsive shape memory polyurethane (SMPU) is demonstrated to achieve the real-time mechanical self-repairing of grain boundary cracks (~37 C). Furthermore, the strong intermolecular interaction between SMPU and the uncoordinated Pb 2+ and I À , can reduce the trap density in perovskite films.The blade-coated device achieves a power conversion efficiency (PCE) of 21.33%, which is among the best reported flexible perovskite solar cells (PSCs; 0.10 cm 2 ). Importantly, the device with SMPU can recover more than 80% of the PCE after 6000 cycles (bending radius: 8 mm). Finally, the flexible PSCs are used for wearable solar power supply of a smartphone, which show great potential for self-repairing wearable electronics.
Fast and accurate detection of microbial cells in clinical samples is highly valuable but remains a challenge. Here, a simple, culture‐free diagnostic system is developed for direct detection of pathogenic bacteria in water, urine, and serum samples using an optical colorimetric biosensor. It consists of printed nanoarrays chemically conjugated with specific antibodies that exhibits distinct color changes after capturing target pathogens. By utilizing the internal capillarity inside an evaporating droplet, target preconcentration is achieved within a few minutes to enable rapid identification and more efficient detection of bacterial pathogens. More importantly, the scattering signals of bacteria are significantly amplified by the nanoarrays due to strong near‐field localization, which supports a visualizable analysis of the growth, reproduction, and cell activity of bacteria at the single‐cell level. Finally, in addition to high selectivity, this nanoarray‐based biosensor is also capable of accurate quantification and continuous monitoring of bacterial load on food over a broad linear range, with a detection limit of 10 CFU mL−1. This work provides an accessible and user‐friendly tool for point‐of‐care testing of pathogens in many clinical and environmental applications, and possibly enables a breakthrough in early prevention and treatment.
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