Yu Song

Prof. Yu Song

Biomedical Engineering, City University of Hong Kong, Hong Kong, China
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 November 2019 in Nature Biotechnology
Verified
Journal Article
Closed access
PDF file
YYYiran Yang
Yiran Yang
Yu SongYu Song
Yu Song
XBXiangjie Bo
Xiangjie Bo
JMJihong Min
Jihong Min
OPOn Shun Pak
On Shun Pak
Wei GaoWei Gao
Wei Gao

2 October 2020 in Science Advances
Verified
Journal Article
Open access
PDF file
Yu SongYu Song
Yu Song
JMJihong Min
Jihong Min
YYYou Yu
You Yu
HWHaobin Wang
Haobin Wang
YYYiran Yang
Yiran Yang
Wei GaoWei Gao
Wei Gao
Wireless wearable sweat biosensors have gained huge traction due to their potential for noninvasive health monitoring. As high energy consumption is a crucial challenge in this field, efficient energy harvesting from human motion represents an attractive approach to sustainably power future wearables. Despite intensive research activities, most wearable energy harvesters suffer from complex fabrication procedures, poor robustness, and low power density, making them unsuitable for continuous biosensing. Here, we propose a highly robust, mass-producible, and battery-free wearable platform that efficiently extracts power from body motion through a flexible printed circuit board (FPCB)–based freestanding triboelectric nanogenerator (FTENG). The judiciously engineered FTENG displays a high power output of ~416 mW m−2. Through seamless system integration and efficient power management, we demonstrate a battery-free triboelectrically driven system that is able to power multiplexed sweat biosensors and wirelessly transmit data to the user interfaces through Bluetooth during on-body human trials.

19 January 2024 in Nature Electronics
Verified
Journal Article
Closed access
PDF file
CXChanghao Xu
Changhao Xu
Yu SongYu Song
Yu Song
JSJuliane Sempionatto
Juliane Sempionatto
SSSamuel A. Solomon
Samuel A. Solomon
YYYou Yu
You Yu
Wei GaoWei Gao
Wei Gao

24 March 2023 in Science Advances
Verified
Journal Article
Closed access
ESEhsan Shirzaei Sani
Ehsan Shirzaei Sani
CXChanghao Xu
Changhao Xu
CWCanran Wang
Canran Wang
Yu SongYu Song
Yu Song
JMJihong Min
Jihong Min
Wei GaoWei Gao
Wei Gao
Chronic nonhealing wounds are one of the major and rapidly growing clinical complications all over the world. Current therapies frequently require emergent surgical interventions, while abuse and misapplication of therapeutic drugs often lead to an increased morbidity and mortality rate. Here, we introduce a wearable bioelectronic system that wirelessly and continuously monitors the physiological conditions of the wound bed via a custom-developed multiplexed multimodal electrochemical biosensor array and performs noninvasive combination therapy through controlled anti-inflammatory antimicrobial treatment and electrically stimulated tissue regeneration. The wearable patch is fully biocompatible, mechanically flexible, stretchable, and can conformally adhere to the skin wound throughout the entire healing process. Real-time metabolic and inflammatory monitoring in a series of preclinical in vivo experiments showed high accuracy and electrochemical stability of the wearable patch for multiplexed spatial and temporal wound biomarker analysis. The combination therapy enabled substantially accelerated cutaneous chronic wound healing in a rodent model.

17 March 2021 in Microsystems & Nanoengineering
Verified
Journal Article
Open access
PDF file
CXChen Xu
Chen Xu
Yu SongYu Song
Yu Song
Mengdi HanMengdi Han
Mengdi Han
Haixia ZhangHaixia Zhang
Haixia Zhang
A self-powered system based on energy harvesting technology can be a potential candidate for solving the problem of supplying power to electronic devices. In this review, we focus on portable and wearable self-powered systems, starting with typical energy harvesting technology, and introduce portable and wearable self-powered systems with sensing functions. In addition, we demonstrate the potential of self-powered systems in actuation functions and the development of self-powered systems toward intelligent functions under the support of information processing and artificial intelligence technologies.

22 June 2023 in Nature Biomedical Engineering
Verified
Journal Article
Closed access
PDF file
JTJiaobing Tu
Jiaobing Tu
JMJihong Min
Jihong Min
Yu SongYu Song
Yu Song
CXChanghao Xu
Changhao Xu
Jiahong LiJiahong Li
Jiahong Li
Wei GaoWei Gao
Wei Gao