直播預告|三位專家講述生物傳感器及其應用

　　 直播時間：2024年4月2日（周二）20:00-22:00

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　　 北京時間4月2日晚八點，iCANX Youth Talks第四十九期邀請到了電子科技大學Jia Zhu，中國臺灣陽明交通大學Li-Chia Jerry Tai，東京大學Seiichi ohta三位教授主講，香港科技大學Hnin YY Nyein作為主持人，香港科技大學I-Ming Hsing教授，新加坡國立大學Saif A. Khan教授擔任嘉賓，期待你一起加入這場知識盛宴。

　　 【嘉賓介紹】

　　 Jia Zhu

　　 電子科技大學

　　 Novel Flexible Electrochemical Sensors for Visualized Clinical Care

　　 【Abstract】

　　 Real-time，non-invasive, and continuous monitoring of physiological parameters has great clinical implications in both health management and disease treatment. A plausible way towards this goal is to leverage the state-of-the-art flexible electronics technology that combines excellent mechanical pliability and electronic functionalities.  Despite tremendous advances in flexible electronics technology, non-invasive and continuous monitoring of the trace amount of biomarkers in various biofluids remains a formidable challenge. In this talk, I will introduce strategies for designing sensitive flexible electrochemical sensors for real-time biomarker detection, including leveraging highly reactive porous materials or metal oxide thin films.  In this regard, novel laser fabrication and large-scale transfer printing were adopted for the scalable production of flexible electrochemical sensors. Furthermore, field effect-based sensing and amplification mechanisms were incorporated into electrochemical sensors to push their detection limit from μM to nM. Collectively, our research aims to advance flexible electrochemical sensors for visualized clinical care, including early diagnosis and management of diseases, by leveraging the cutting-edge and interdisciplinary knowledge of materials science and biomedical engineering. 

　　 實時、非破壞性、連續監測人體生理參數對于健康管理與疾病治療具有重要臨床意義。最新的柔性電子技術結合了優異的機械柔性與電學性能，是實現這一目標的最可行的方案之一。盡管近些年來柔性電子技術取得了巨大的進度，但是非破壞性、連續監測生物液體中微量生化標記仍然是一個巨大的挑戰。在此次報告中，我將重點介紹用于體液中生化標記物監測的柔性電化學傳感器的設計策略，包括使用高電化學活性的多孔材料與金屬氧化物薄膜。為了實現生化傳感器柔性化，我們創新地引入極具規模化生產的激光加工工藝與大面積薄膜轉印技術。通過引入場效應傳感與放大機制，我們將柔性電化學傳感器的監測極限從微摩爾提升至納摩爾級別。總的來說，我們專注于材料科學與生物工程的前沿交叉融合并研制創新的柔性電化學傳感器，將其應用于可視化臨床醫療，幫助重大疾病的早期診斷與治療。

　　 【BIOGRAPHY】

　　 Jia Zhu is an Assistant Professor in the School of Material and Energy Engineering at the University of Electronic Science and Technology, China. He received his Ph.D. degree in Engineering Science and Mechanics from the Penn State University in 2020, and his Masters and Bachelor’s degrees from Sun Yat-sen University in 2015 and 2012, respectively. From 2020 to 2021, he was a postdoctoral fellow at the Department of Engineering Science and Mechanics at Penn State University. He has published several papers in high-impact journals, including Progress in Materials Science, Advanced Materials, Advanced Functional Materials, Small, Materials Today, ACS Nano, ACS Applied Materials & Interfaces, Nano Energy, Biosensors & Bioelectronics, Bioactive Materials, Nano-Micro Letters, etc. His research group currently focuses on the materials design and scalable fabrication of highly sensitive, self-powering, skin-interfaced sensors based on novel porous or metal oxide thin films for the exploration of new pathogenesis and the development of visualized clinical care. 

　　 朱佳，電子科技大學材料與能源學院助理教授。朱佳教授分別于2012與2015年于中山大學取得本科與碩士學位，此后于2020年在美國賓州州立大學獲得工程科學與力學學位。2021年到2022年期間，曾在美國賓州州立大學工程科學與力學系進行博士后研究。相關研究成果已發表在一系列高影響力期刊，其中包括Progress in Materials Science，Advanced Materials，Advanced Functional Materials，Small，Materials Today，ACS Nano，ACS Applied Materials & Interfaces，Nano Energy，Biosensors & Bioelectronics，Bioactive Materials，Nano-Micro Letters等刊物。所在團隊正致力于利用多孔材料與金屬氧化物薄膜設計高靈敏、自供能、與皮膚高度融合的柔性生物化學傳感器，并進一步開展規模化制備研究，為探索新疾病機理與實現新一代臨床醫療可視化提供基礎。

　　 Li-Chia Jerry Tai

　　 中國臺灣陽明交通大學

　　 Microscopy-Guided 3-D Reconstruction of Nanodendrites in Biosensors【ABSTRACT】

　　 Nanodendritic structures have gained increasing popularity in electrochemical sensors. However, it is still rare to generate a 3-D model in a short period of time to understand the structure–function relationship of the sensors. Here, we report the construction of a 3-D model for nanodendritic, metallic structures frequently grown on top of bioelectronics. This is achieved by merging two sources of 2-D dendritic information, which includes top-view images from scanning electron microscopy (SEM) and side-view visualization from Monte Carlo simulations. The microscopy images provide the boundary conditions to tune the Monte Carlo simulations to construct the 3-D dendritic morphology. We validated the 3-D model by comparing the dendritic area densities predicted via this model with those computed from microscopy images. In addition, tuning the simulation parameters in the 3-D model can be used to find the optimized dendritic density, which is an essential indicator for sensitivity enhancement. The success of this model provides a means to understand the sensitivity limits of bioelectronics through dendritic growth without the need for time-consuming sensor fabrication and testing. Furthermore, our SEM-guided Monte Carlo technique provides a dendritic model with a significant resemblance to experimental images. It possesses the potential for applications in 3-D morphological investigations for future biosensor design.

　　 奈米枝晶結構在電化學傳感器中越來越受歡迎。然而，在短時間內產生 3D 模型來理解傳感器的結構和功能之間的關系仍然不多。在這里，我們提供了一個 3D 模型建構的方法，藉以理解生長在生物電子裝置上的奈米樹枝狀的金屬（奈米金枝）結構。此方法是透過合并兩個二維的奈米金枝資訊來實現的，其中包括來自電子掃描顯微鏡 (SEM) 的俯視圖影像，和來自蒙特卡羅模擬的側視圖。顯微鏡的影像提供了調整蒙特卡羅模擬以建立 3D 奈米金枝的邊界條件。我們透過比較此模型預測的奈米金枝面積密度與顯微鏡影像計算的奈米金枝面積密度，來驗證此 3D 模型的有效性。由此調整 3D 模型中的參數，可幫助我們找到最佳化的奈米金枝密度 （影響靈敏度的指標之一）。此模型的成功，提供了一種透過奈米金枝生長，來了解電子裝置靈敏度之優化上限的方法，而不需要耗時的傳感器制造和測試。此外，我們的 SEM 引導的蒙特卡羅技術，提供了與實驗拍攝之影像非常相似的奈米金枝模型。這方法可望在未來生物傳感器設計時，對于 3D 形態的研究發揮有效的功用。

　　 【BIOGRAPHY】

　　 Li-Chia Jerry Tai is an Assistant Professor in the Department of Electrical and Computer Engineering at National Yang Ming Chiao Tung University (NYCU) in Taiwan. He received a Ph.D. degree in Electrical Engineering and Computer Sciences from UC Berkeley, USA, in 2020. Subsequently, he was an Insight Health Data Science Fellow before joining NYCU. In the past few years, he has authored or coauthored articles in top-ranking journals and conferences, such as IEEE IEDM,  IEEE Sensors Journal, Advanced Materials, Science Advances, Nano Letters, ACS Nano, and ACS Sensors. His research expertise spans across wearable sensors, biomedical devices, and artificial intelligence for health data analytics. He has developed wearable electronics to monitor pharmaceutical drugs for dosage optimization and other xenobiotic molecules for health analysis. He has integrated machine learning algorithms, optoelectronics, and micro-fluidics to classify circulating tumor cells for early cancer diagnosis. His research was recognized by the the U.S. National Academy of Medicine’s Healthy Longevity Global Grand Challenge Catalyst Award in 2022.

　　 戴立嘉是中國臺灣陽明交通大學 (NYCU) 電機與電腦工程系的助理教授。2020 年，他在美國加州大學柏克利分校獲得電子計算機博士學位。在加入 NYCU 之前，他是 Insight Health Data Science 研究人員。過去幾年，他在IEEE IEDM、IEEE Sensors Journal、Advanced Materials、Science Advances、Nano Letters、ACS Nano 和 ACS Sensors 等期刊和會議上發表了文章。他的研究專業知識涵蓋穿戴式傳感器、生物醫學裝置和用于健康數據分析的人工智慧。他開發了穿戴式電子設備來監測藥物以優化劑量，并監測其他人體分子以進行健康分析。他整合了機器學習演算法、光電子學和微流體技術，對體內癌細胞進行分類，以達到早期癌癥診斷。他的研究于 2022 年獲得美國國家醫學院健康長壽全球大挑戰催化劑獎的認可。

　　 Seiichi Ohta

　　 東京大學

　　 DNA-mediated Nanoparticle Assembly Technology for Biomarker Detection【ABSTRACT】

　　 Biomolecules, including nucleic acids and proteins, directly reflect the state of our health. Disease-related specific biomolecules are called biomarkers and are a target for disease diagnosis and health monitoring. To detect and monitor these biomolecules, nanoparticles have been recognized as a powerful tool because they exhibit specific optical functions derived from their nano-size. For example, gold nanoparticles show a strong red color due to localized surface plasmon resonance. A unique feature of these optical functions of nanoparticles is that the optical properties can change depending on the location of neighboring particles. Examples include color shift induced by plasmon coupling and fluorescence quenching by Förster resonance energy transfer. To fully utilize these nanoparticle functions, we developed DNA-mediated nanoparticle assembly technology. By using DNA as a functional linker, nanoparticles can be assembled into superstructures with precisely controlled spacing and positioning. The structure of these nanoparticle assemblies can be altered by the stimuli of the specific biomarker, allowing their detection by the change in optical properties. In this talk, we will present our recent results in nucleic acid and protein biomarker detection based on this nanoparticle assembly platform.

　　 包括核酸和蛋白質在內的生物大分子直接反映了我們的健康狀況。與疾病相關的特定生物大分子被稱為生物標志物，是疾病診斷和健康監測的目標。為了檢測和監測這些生物分子，納米粒子因其納米尺寸而表現出特定的光學功能，已被公認為一種強有力的工具。例如，金納米粒子因局部表面等離子共振而呈現出強烈的紅色。這些納米粒子光學功能的一個獨特之處是，其光學特性會隨著相鄰粒子位置的變化而變化。例如，由等離子體耦合引起的色移和由佛斯特共振能量轉移引起的熒光淬滅。為了充分利用這些納米粒子功能，我們開發了 DNA 介導的納米粒子組裝技術。通過使用 DNA 作為功能連接體，納米粒子可以組裝成具有精確控制間距和定位的超結構。在特定生物標記物的刺激下，這些納米粒子組裝體的結構會發生改變，從而可以通過光學特性的變化對其進行檢測。在本講座中，我們將介紹基于這種納米粒子組裝平臺的核酸和蛋白質生物標記物檢測的最新成果。

　　 【BIOGRAPHY】

　　 Seiichi Ohta is an Associate Professor in the Institute of Engineering Innovation/ Department of bioengineering/ Department of Chemical System Engineering, The University of Tokyo. He received his Ph.D. degree in Chemical Engineering from The University of Tokyo in 2013, and his Bachelor’s degree from The University of Tokyo in 2008. From 2014 to 2015, he was a postdoctoral fellow in Institute of Biomaterials and Biomedical Engineering, The University of Toronto. He joined the Center for Disease Biology and Integrated Medicine at the University of Tokyo as an assistant professor in 2016, and was promoted to his current position in 2020. He has published over 70 papers in various journals, including Science, Advanced Functional Materials, etc. He has received many awards, such as Outstanding Young Researcher Award from Japanese Society for Chemical Engineering. His research group currently focuses on disease diagnostics using nanoparticles.

　　 Seiichi Ohta 是東京大學工程創新研究所生物工程系、化學系統工程系副教授。他于 2013 年獲得東京大學化學工程博士學位，2008 年獲得東京大學學士學位。2014 年至 2015 年，他在多倫多大學生物材料與生物醫學工程研究所從事博士后研究。他于 2016 年加入東京大學疾病生物學和綜合醫學中心，擔任助理教授，并于 2020 年晉升為現職。他在《科學》、《先進功能材料》等各種期刊上發表了 70 多篇論文。他曾多次獲獎，如日本化學工程學會頒發的杰出青年研究員獎。他的研究小組目前側重于利用納米粒子進行疾病診斷。

　　 【主持人】

　　 Hnin YY Nyein

　　 香港科技大學

　　 I-Ming Hsing

　　 香港科技大學

　　 Saif A. Khan

　　 新加坡國立大學