Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples

Author:

Chen Shan12,Su Yu-Wen13,Sun Junjie1,Chen Tingting4,Zheng Yuhao1,Sui Lin-Jie5,Yang Shuangli1,Liu Chenbin6,Wang Pengcheng1,Li Tengfei3,Chi Qinghua7,Sun Hao1,Chen Jinghu1,Xu Bo-Qun58,Huang Zongxiong9,Fang Yimin1ORCID

Affiliation:

1. Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China

2. Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China

3. Department of Clinical Pharmacology, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China

4. Outpatient Department, School of Medical Nursing, Minjiang Teachers College, Fuzhou 350108, China

5. Department of Gynecology and Obstetrics, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China

6. Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China

7. Nursing Teaching and Research Department, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China

8. Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, China

9. National Textile and Garment Quality Supervision Testing Center, Fujian Fiber Inspection Center, Fuzhou 350026, China

Abstract

Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)–positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost.

Funder

National Natural Science Foundation of China

Jiangsu Agricultural Science and Technology Independent Innovation Fund

Doctoral Programe of Entrepreneurship and Innovation in Jiangsu Province

Guangdong Basic and Applied Basic Research Foundation

Hospital Research Project

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3