In this work, Qiaoqiang Gan and co-workers develop a hybrid photovoltaic–hydrovoltaic energy harvesting system that couples a moisture-driven hydrovoltaic device with photovoltaic panels using a hygroscopic hydrogel cooling layer. The hydrogel layer passively absorbs atmospheric moisture and provides evaporative cooling to reduce photovoltaic operating temperature, while simultaneously supplying water vapor to sustain hydrovoltaic electricity generation. By converting both ambient moisture and solar-induced waste heat into electrical energy, the integrated system enhances photovoltaic efficiency and enables continuous power generation for distributed electronics and Internet-of-Things devices.
Link: https://doi.org/10.1039/D5EE05530J
In this Research Article, Qiaoqiang Gan and co-workers develop a durable thermochromic hydrogel with a dual-network structure of hydroxypropyl cellulose (HPC) and polyacrylamide (PAAM), enhanced by calcium chloride (CaCl2) for tunable transition temperature. The results demonstrate the hydrogel's potential for scalable applications in vehicles, sustainable building facades, and greenhouse coverings, offering an energy-efficient, eco-friendly solution for thermal management.
In this article, Qiaoqiang Gan and co-workers report a reproducible and sensitive surface-enhanced Raman spectroscopy (SERS) chip that combines three-dimensional-assembled gold nanoparticles on superhydrophobic nanoporous substrates. This chip can simultaneously realize strong localized field and analyte enrichment. It demonstrates good reproducibility for fentanyl and heroin detection, paving the way towards quantitative sensing of abused drugs and other chemicals.
Link: https://doi.org/10.1002/smll.202270280
Qiaoqiang Gan and colleagues have developed a "rainbow" trapping metasurface for on-chip spectrometers and sensors. They used a low-setting 4× optical microscope system with super-resolution image processing to achieve a biosensing resolution of 1.92 × 109 exosomes per milliliter for A549-derived exosomes. The system can distinguish between patient samples and healthy controls using exosomal epidermal growth factor receptor (EGFR) expression values, demonstrating a new on-chip sensing system for personalized accurate bio/chemical sensing applications.
Link: https://doi.org/10.1016/j.eng.2022.03.018
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