Leaf Veins The leaf vein is the “vascular system” in plants. In article 2201220 by Kelvin W. K. Yeung, Xin Zhao, and co-workers, a leaf-vein micropattern is engraved on a PGLADMA polymer membrane, serving as “running tracks” for vascular endothelial cells to facilitate hierarchical and functional vascular reconstruction. The leaf-vein engraved membrane can induce vascular endothelial cell differentiation, vasculature reconstruction, and vessel maturation.
Abstract Nerve agents, one of the most toxic chemical warfare agents, seriously threaten human life and public security. The high toxicity of nerve agents makes the development of fluorescence sensors with suitable limit of detection challenging. Here, we propose a sensor design based on a conjugated microporous polymer film for the detection of diethyl chlorophosphate, a substitute of Sarin, with low detection limit of 2.5 ppt. This is due to the synergy of the susceptible on-off effect of hybridization and de-hybridization of hybrid local and charge transfer (HLCT) materials and the microporous structure of CMP films facilitating the inward diffusion of DCP vapors, and the extended π-conjugated structure. This strategy provides a new idea for the future development of gas sensors. In addition, a portable sensor is successfully integrated based on TCzP-CMP films that enables wireless, remote, ultrasensitive, and real-time detection of DCP vapors.
Abstract Conjugated microporous polymers (CMPs) are attracting increasing attention in chemical sensing due to their extended π‐conjugated framework, permanent microporous structure, and large specific surface area. However, the extremely poor solubility and processability of CMPs, as well as the serious fluorescence quenching caused by aggregation, restrict their practical applications. Herein, a high‐luminescence CMP film is constructed based on a novel dendrimer (TPETCz) featured by its central tetraphenylethylene “core” with aggregation‐induced emission effect and its highly electro‐active “branches.” High specific surface area CMP films for analyte diffusion are fabricated by a facile in situ electropolymerization method. These dendrimer‐based CMP films exhibit superior sensitivity to volatile organic compounds (VOCs). More importantly, 18 types, the most types reported, of VOC vapors are precisely distinguished by the linear discriminant analysis by establishing a 2D fluorescence sensor array based on the CMP films and the dendrimer monomer films.
Simple and fast detection of chemical warfare agents vapor is necessary and urgent to fight against uncertain terrorist attacks and wars. In this contribution, inspired by the design of the hybrid locally excited and charge transfer (HLCT) excited state, two fast and highly sensitive visualization and fluorescence probes for DCP detection with relative small interstate coupling (J) TPA-2AC and TPA-9AC are reported. Upon exposure to saturated DCP vapor, the TPA-9AC test strips exhibited a rapid fluorescent response in no more than 1 s, accompanied by a change of the color from green to red. The detection limit of the test strips can be estimated as sensitive as 0.15 ppb, which is far superior to the "harmless" level (7 ppb) of human response to acute sarin exposure. More impressively, the fluorescent intensity of the test strips can be quickly restored when exposed to ammonia vapor for cyclic utilization, demonstrating an application prospect in the real-time detection of chemical warfare agents.
Abstract Background: Depression is a burdensome, recurring mental health disorder with high prevalence. The traditional detection of depression relies on structured interviews and questionnaires, which is labor-intensive and time-consuming. Also, the detection results are affected by subjective factors such as the subject's honesty and the psychologists' experiences. It lacks objective and quantitative metrics. Methods: To solve the above problems, we develop a convenient and objective system to detect depression and its high-risk group using eye-tracking data. In this system, subjects are required to answer the self-rating scale, and their scanpaths are recorded as a series of gaze points and saccades by the eye-tracking technology. Then, the similarity of scanpaths are compared and quantified with the guide of semantic information. Finally, according to the similarity scores of their scanpaths, the subjects are classified into three groups: normal, high-risk group, and depression. Results: The classification accuracy based on each item of the self-rating scale is 86.79% on average, while the detection accuracy is 95.63%. Conclusion: The experimental results show that (1)There are obvious eye movement differences among normal people, high-risk groups of depression, and depression patients while answering the questionnaire. (2)The early screening system for depression provides a novel and efficient solution to detect depression and its high-risk group by integrating traditional scale assessment and quantitative scanpath comparison algorithm.
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