CUHK develops groundbreaking microrobot therapy to combat persistent sinus infections

Date: 
2025-06-26
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A collaborative research team led by Professor Zhang Li from The Chinese University of Hong Kong (CUHK)’s Department of Mechanical and Automation Engineering, Professor Wang Ben, an associate professor at Shenzhen University’s College of Chemistry and Environmental Engineering, and Professor Zhang Yabin from Guangxi University, has developed a microrobot-based therapy to tackle one of the most pressing global health challenges: chronic bacterial infections caused by resilient biofilms. The research has been published in prestigious journal Science Robotics.

According to The Lancet, bacterial infections have emerged as the second-leading cause of death worldwide, resulting in millions of deaths each year. Conventional treatment, such as antibiotics, irrigation and surgical puncture, often proves ineffective, leading to potential antibiotic resistance and tissue damage. In response, the research team has developed a novel therapeutic platform using photocatalytic microrobots (CBMRs) that delivers a minimally invasive, highly targeted solution for the treatment of deep-seated bacterial biofilm infections, particularly sinusitis.

The CBMRs are constructed from single-atom copper-doped bismuth oxyiodide (BiOI) and integrate precise magnetic navigation with light-activated photocatalysis. Under an external magnetic field, the microrobots swarm and swiftly navigate to infection sites. Visible light delivered via optical fibre activates antibacterial activity. This enables photothermal effects that reduce mucus viscosity, enhance penetration and generate reactive oxygen species (ROS) for powerful biofilm disruption. In vitro tests demonstrated a dramatic reduction in bacterial survival, from over 90% to less than 1%, showcasing the microrobots’ potent bactericidal efficacy.

Using a rabbit sinusitis model, the team validated the treatment’s effectiveness. The microrobots successfully penetrated dense inflammatory secretions and disintegrate biofilms. The treatment restored healthy sinus tissue, reduced inflammation and minimised fibrosis. Additionally, the treatment showed excellent biocompatibility, with no visible mucosal damage and cell viability exceeding 90% after light exposure for 20 minutes.

Professor Zhang said: “Our goal was to develop a precise, non-invasive solution that overcomes the limitations of conventional treatments. This microrobot platform not only demonstrates impressive antibacterial capabilities but also presents exciting opportunities for safe and targeted treatment of other deep-seated infections. The breakthrough represents a significant milestone in microrobotic therapy, providing a targeted and minimally invasive solution for chronic infection treatment. It paves the way for clinical applications in otolaryngology and beyond.”

This study was supported by the Research Grants Council of Hong Kong (RGC), the Croucher Foundation, the National Natural Science Foundation of China, the Shenzhen Science and Technology Program, as well as the SIAT–CUHK Joint Laboratory of Robotics and Intelligent Systems and the Multi-scale Medical Robotics Center (MRC) under the InnoHK research platform.

 

Extracted from CUHK Communications and Public Relations Office press release

More details: https://www.theguardian.com/science/2025/jun/25/swarms-of-tiny-nose-robots-could-clear-infected-sinuses-researchers-say

Structure and material composition of photocatalytic microrobots.

Therapeutic mechanism of photocatalytic microrobots in sinus biofilm infections.

Under an external magnetic field, the microrobots swarm and navigate rapidly to infection sites. Visible light delivered via optical fibre activates antibacterial activity, enabling photothermal effects that reduce mucus viscosity and enhance penetration and generation of reactive oxygen species (ROS) for powerful biofilm disruption.

 

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Name: 
ZHANG Qihang
Title ( post ): 
Research Assistant Professor
Department: 
Biomedical Engineering
email: 
qhzhang@cuhk.edu.hk
phone: 
3943 5072
website: 
https://www.bme.cuhk.edu.hk/new/zhangqihang.php
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Z
Name: 
LI Tiantian
Title ( post ): 
Research Assistant Professor
Department: 
Biomedical Engineering
email: 
tiantianli@cuhk.edu.hk
phone: 
3943 5073
website: 
https://www.bme.cuhk.edu.hk/new/litiantian.php
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L

「產學研1+計劃」中大6前沿項目獲資助

創新科技署早前公布「產學研1+計劃」第二輪資助結果,其中,香港中文大學6個前沿項目脫穎而出獲資助,覆蓋醫學、先進工程及材料科學等領域,昨日各團隊在記者會上介紹項目詳情。其中,由中大醫學院院長趙偉仁及其團隊開發的「華陀外科手術系統」,冀在攻克內鏡黏膜下剝離術(ESD)的技術難關。團隊指,目前為動物實驗階段,未來的目標是推進至臨床應用。

Date: 
Tuesday, June 24, 2025
Media: 
Singtao

產學研1+計劃|中大6項目獲「產學研1+計劃」撥款 涵蓋能源創新及癌症免疫療法

獲政府撥款100億元的「產學研1+計劃」第二輪資助結果公布,共有25個大學研發團隊入選,資助金額總值超過10億元。其中中文大學共6個項目獲選,除針對醫療機械人技術的研發外(見另文),團隊亦聚焦能源儲存與癌症治療兩大領域,包括推動液流電池商業化及嶄新CAR T細胞療法,應對氣候變化與肝膽胰癌症等挑戰。

Date: 
Tuesday, June 24, 2025
Media: 
hket

引無人機及AI識別年幼馬蹄蟹 團體︰省時省人 準確達九成

今日是國際馬蹄蟹日。有「活化石」之稱的海洋生物馬蹄蟹,棲息環境受到人類活動威脅,香港海洋公園保育基金聯同中大和城大團隊去年起於下白泥泥灘進行為期兩年的馬蹄蟹普查先導計劃,並利用無人機及人工智能技術,精準識別馬蹄蟹幼體,準確度達九成,團體料可提升日後對物種種群普查成效。就政府建議發展白泥成生態旅遊節點,學者指應有一定管制措施,以減少對環境影響。

 

Date: 
Friday, June 20, 2025
Media: 
am730

白泥「馬蹄蟹普查」 無人機AI識別九成準 發展生態遊 學者:須設管制

今日為「國際馬蹄蟹日」。本港馬蹄蟹主要集中於白泥及下白泥,包括在世界自然保育聯盟瀕危物種紅色名錄列為瀕危的中國鱟。海洋公園保育基金去年起與中大及城大合作,運用全自動無人機系統及人工智能(AI)技術,於下白泥泥灘展開為期兩年的馬蹄蟹普查先導計劃,識別精準度已提升至90%以上。

Date: 
Friday, June 20, 2025
Media: 
Mingpao

Three Engineering projects awarded funding in the second round of the ITC’s RAISe+ Scheme

Date: 
2025-06-17
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Three project teams led by Faculty of Engineering Professors have been awarded funding in the second round of the Research, Academic and Industry Sectors One-plus Scheme (RAISe+), initiated by the Innovation and Technology Commission (ITC) of the Hong Kong government. In the two rounds of the RAISe+ Scheme, Faculty of Engineering received the highest number of awards among CUHK's research teams. This demonstrated the exceptional research capabilities and dedication to technology advancement of the faculty.

The funded projects span a wide range of fields including advanced engineering and materials science. These projects not only highlight the faculty’s extensive research strengths but also reflect its commitment to addressing major societal challenges. Each project is poised to deliver high-impact innovations with strong commercialisation potential and real-world application value.

The RAISe+ Scheme sets a high threshold for application, requiring research teams to raise no less than half of the amount they apply for from commercial sources. With the support of RAISe+ funding, these projects will further enhance their R&D and promotional capabilities, to achieve successful commercialisation.

List of Engineering projects receive funding support from RAISe+ Scheme

Person-in-charge (Department)

(in alphabetical order of family name)

Project title

Professor Kwok Ka-wai

(Department of Mechanical and Automation Engineering)

Evolving Interventional Endoscopy – An Endoluminal Robotic Platform for Early-Stage Cancer Resection and Defect Closure

Professor Lu Yi-chun

(Department of Mechanical and Automation Engineering)

Low-Cost and Intrinsically-Safe Polysulfide Redox Flow Batteries for Long-Duration Energy Storage

Professor Ren Wei

(Department of Mechanical and Automation Engineering)

Intelligent Laser Sensing System for the Energy Industry

 

About the Research, Academic and Industry Sectors One-plus Scheme (RAISe+ Scheme)

Launched in October 2023, the Research, Academic and Industry Sectors One-plus Scheme (RAISe+ Scheme) aims to unleash the potential of local universities in transforming and commercialising R&D outcomes, and facilitate collaboration among the Government, industry, university and research sectors. The RAISe+ Scheme will fund, on a matching basis, research teams in eight universities funded by the University Grants Committee that have the potential to become successful start-ups. Up to HK$100 million in funding support will be provided for each project that is approved.

 

More details: https://www.cpr.cuhk.edu.hk/en/press/six-cuhk-projects-awarded-funding-in-the-second-round-of-the-itcs-raise-scheme-demonstrating-excellence-in-research-and-innovation/

Professor Kwok Ka-wai, Department of Mechanical and Automation Engineering

Professor Lu Yi-chun, Department of Mechanical and Automation Engineering

Professor Ren Wei, Department of Mechanical and Automation Engineering

 

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[Important Update] Event Cancellation and New Registration - The A.I. Masterclass: Technology Beyond GenAI

We are excited to invite you to an exclusive A.I. Masterclass, presented in collaboration with 聯合共敘 - 人機共融新視野. This session, "Technology Beyond GenAI", will uncover the next frontier of artificial intelligence—going beyond generative AI to explore groundbreaking innovations shaping our future.

    

This event is hosted by the CUHK Faculty of Engineering Alumni Association and co-organized with United College, New Asia College, and Shaw College Alumni Associations. It is a unique opportunity to gain expert insights and connect with like-minded professionals.

 

 

 

Venue
LT8, Yasumoto International Academic Park (YIA)
Date: 
Saturday, July 5, 2025
Time
Saturday, July 5, 2025 to 15:30
e_title: 
[Important Update] Event Cancellation and New Registration - The A.I. Masterclass: Technology Beyond GenAI
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EE students win awards at the 11th Hong Kong University Student Innovation and Entrepreneurship Competition

Date: 
2025-06-09
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Students supervising by Professor Huang Chaoran from the Department of Electronic Engineering achieved outstanding results at the “11th Hong Kong University Student Innovation and Entrepreneurship Competition”. The team has won the Innovation grand prize and first prize (Information Technology) for the project on Next Generation Data Center Interconnects with Integrated Neuromorphic Photonic Processor.

Innovation grand prize and first prize (Information Technology): Next Generation Data Centre Interconnects with Integrated Neuromorphic Photonic Processor

Large-scale artificial intelligence (AI) training requires uniformly ultra-low latency and energy-efficient data interconnects to let massive graphics processing units (GPUs) function as a unified system. However, current technologies often struggle with delays and high energy use, limiting AI development. Under the supervision of Professor Huang Chaoran from the Department of Electronic Engineering, a project team comprising Wang Benshan, Xiao Qiarong, Xu Tengji, Fan Li and Liu Shaojie presented a new type of data connection that uses light instead of electricity to transmit information. This system is the first in the world to operate entirely with light, eliminating the need for traditional electronic parts that usually slow things down. Their invention is over 10,000 times faster and uses 1,000 times less energy than current methods. It can also send data over much longer distances—up to 80 km—compared to just 2 km with existing technology. This means it could connect millions of GPUs with near-zero latency, which reducing hardware costs and energy consumption, providing comprehensive and robust support for future AI development.

About Hong Kong University Student Innovation and Entrepreneurship Competition

The Hong Kong University Student Innovation and Entrepreneurship Competition is organised annually by the Hong Kong New Generation Cultural Association. Winning projects will represent Hong Kong Special Administrative Region in national competitions, including the “Challenge Cup” National College Students’ Extracurricular Academic Science and Technology Contest, the “Challenge Cup” China College Students’ Entrepreneurship Competition and the China International College Students’ Innovation Competition. This year, the winning projects will also have the opportunity to represent Hong Kong and their respective institutions at international competitions and exhibitions.

More details: https://www.cpr.cuhk.edu.hk/en/press/cuhk-students-win-most-awards-at-the-11th-hong-kong-university-student-innovation-and-entrepreneurship-competition/

Professor Huang Chaoran (3rd left), supervisor from CUHK’s Department of Electronic Engineering, and her student Wang Benshan (3rd right) receive the grand prize in the Innovation category.

Professor Huang Chaoran (1st left), supervisor from CUHK’s Department of Electronic Engineering, and her student Wang Benshan (1st right) receive the first prize (Information Technology).

 

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