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We develop data-driven models to design functional ionic liquids with targeted physicochemical properties. By integrating interpretable machine learning and thermodynamic modeling, we identify key molecular descriptors governing extraction, selectivity, and transport. This approach accelerates solvent discovery for sustainable separations and enables rational design beyond trial-and-error experimentation. The applications include CO2 capture/converting, metal/REE extraction, biosensor enhancement…etc.

我們結合人工智慧與熱力學模型，設計具有特定功能的離子液體，例如用於二氧化碳捕捉、金屬分離或生醫感測。透過分析分子結構與性質之間的關係，我們能快速找到關鍵影響因子，大幅縮短材料開發時間，從傳統試錯走向理性設計，應用於能源、環境與醫療領域。

Our research focuses on integrated strategies for capturing, converting, and storing gas fuels such as CO₂, H₂, and CH₄ uaing ionic liquids. We explore advanced materials and electrochemical processes to improve efficiency and scalability. The goal is to close carbon loops, enhance energy density, and support sustainable energy systems through innovative reaction and separation pathways.

我們研究如何有效捕捉與利用氣體分子，如二氧化碳、氫氣與甲烷，並將其轉換為有用的能源或穩定儲存。透過材料設計與電化學技術，我們希望降低碳排放，同時提升能源利用效率，為未來永續能源系統提供新的解決方案。

We investigate noninvasive techniques to characterize cell spheroids using frequency-dependent dielectric responses. By combining impedance spectroscopy, advanced dielectric modeling, and electrohydrodynamics, we correlate electrical signatures with physiological properties. This enables label-free monitoring of 3D cellular systems, offering new tools for biomedical research, drug screening, and tissue engineering.

我們利用電學量測（如阻抗分析）來研究三維細胞球體的特性，無需破壞或染色細胞。透過建立電性模型並分析頻率響應，我們可以了解細胞的生理狀態與結構變化，應用於藥物測試、疾病研究與組織工程等領域。 

We design low-cost, portable POCT-based biosensors for rapid detection of disease biomarkers in resource-limited settings. You only need screen-printing tools and an electrochemical station to fabricate and operate the sensor. These systems emphasize minimal infrastructure, high sensitivity, and robust performance. By combining functional ionic liquids with simple readout platforms, we aim to enable accessible diagnostics that support early detection and decentralized healthcare delivery.

我們開發簡單、低成本且可攜式的生物感測器，讓疾病檢測能在缺乏大型設備的環境中進行。這些裝置可快速分析少量樣本並提供即時結果，有助於早期診斷與健康監測，特別適用於偏遠地區或緊急醫療情境，提升醫療的可近性與效率。

We develop sustainable processes to recover valuable metals and rare earth elements from complex waste streams. Using electrochemical methods and designer solvents such as ionic liquids, we enhance selectivity and reduce environmental impact. This work supports circular resource use while addressing critical material supply challenges for emerging technologies. 

我們致力於從電子廢棄物與工業廢料中回收重要金屬與稀土元素。透過電化學與新型溶劑（如離子液體）技術，我們提升回收效率與選擇性，同時降低對環境的影響。這項研究有助於建立資源循環體系，支持未來高科技產業的材料需求。

We use microalgae as sensitive biological probes to detect and quantify environmental pollutants. By linking electrohydrodynamic responses with measurable optical and electrical signals, we develop rapid and scalable sensing platforms. This approach provides an eco-friendly and cost-effective strategy for monitoring water quality and assessing ecosystem health in real time.
 
 

我們利用微藻對環境變化的敏感性，作為天然的污染偵測工具。當微藻接觸污染物時，其生理狀態會改變，並可轉換為光學或電學訊號。我們將這些訊號應用於快速監測水質與環境健康，提供環保且可持續的解決方案。