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抗体工程化微型机器人清除水中新型冠状病毒的研究

石敏 陈泽 潘宏 郑明彬 梁锐晶 蔡林涛

集成技术2024,Vol.13Issue(1):96-105,10.
集成技术2024,Vol.13Issue(1):96-105,10.DOI:10.12146/j.issn.2095-3135.20230319001

抗体工程化微型机器人清除水中新型冠状病毒的研究

Research on Antibody-Functionalized Microrobots for Removal of SARS-CoV-2 from Water

石敏 1陈泽 2潘宏 1郑明彬 3梁锐晶 1蔡林涛1

作者信息

  • 1. 中国科学院深圳先进技术研究院 深圳 518055||中国科学院大学 北京 100049
  • 2. 中国科学院深圳先进技术研究院 深圳 518055
  • 3. 中国科学院深圳先进技术研究院 深圳 518055||深圳市第三人民医院 深圳 518112
  • 折叠

摘要

Abstract

The coronavirus SARS-CoV-2 remains stable and highly infective in water for a long time,which makes the removal of virus from water an important approach to contain and block its spread.In this study,an antibody-engineered microrobot(AB-robot)was fabricated by using click chemistry to functionalize self-actuating Bacillus subtilis with neutralizing antibody P2C-1F11 against the SARS-CoV-2 S protein.The AB-robot can efficiently capture and remove SARS-CoV-2 from water by targeting SARS-CoV-2 S protein with P2C-1F11.The AB-robot displays rapid self-actuation capability in various aquatic media,including drinking water and tap water.And the virus clearance percentage of AB-robot in water was up to 95%against SARS-CoV-2 pseudovirus contaminant model.Moreover,scanning electron microscopy images show that a large number of virus particles were tethered to the surface of the AB-robot,further demonstrating the effective capture capability of the AB-robot.In summary,the significant contributions of both the P2C-1F11 for virus targeting and the fast microrobot motion for contacting the virus toward immediate capture and efficient removal of SARS-CoV-2 pseudovirus,which has potential application for preventing and blocking the spread of SARS-CoV-2 in water.

关键词

新型冠状病毒/微型机器人/中和抗体/枯草芽孢杆菌/病毒清除

Key words

SARS-CoV-2/microrobots/neutralizing antibody/Bacillus subtilis/virus removal

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引用本文复制引用

石敏,陈泽,潘宏,郑明彬,梁锐晶,蔡林涛..抗体工程化微型机器人清除水中新型冠状病毒的研究[J].集成技术,2024,13(1):96-105,10.

基金项目

广东省重点领域研发计划项目(2020B1111540001) (2020B1111540001)

国家重点研发计划项目(2021YFA0910900,2019YFE0198700) (2021YFA0910900,2019YFE0198700)

广东省自然科学基金面上项目(2022A1515011493) (2022A1515011493)

深圳市科技计划资助项目(JCYJ20220531095814033,JCYJ20220531095812028,JCYJ20210324115607020) This work is supported by Key-Area Research and Development Program of Guangdong Province(2020B1111540001),National Key R&D Programs of China(2021YFA0910900,2019YFE0198700),Natural Science Foundation of Guangdong Province(2022A1515011493),and Shenzhen Science and Technology Program(JCYJ20220531095814033,JCYJ20220531095812028,JCYJ20210324115607020) (JCYJ20220531095814033,JCYJ20220531095812028,JCYJ20210324115607020)

集成技术

2095-3135

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