Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples
文献类型: 外文期刊
作者: Chen, Shan 1 ; Su, Yu-Wen 1 ; Sun, Junjie 1 ; Chen, Tingting 4 ; Zheng, Yuhao 1 ; Sui, Lin-Jie 5 ; Yang, Shuangli 1 ; Liu, Chenbin 6 ; Wang, Pengcheng 1 ; Li, Tengfei 3 ; Chi, Qinghua 8 ; Sun, Hao 1 ; Chen, Jinghu 1 ; Xu, Bo-Qun 5 ; Huang, Zongxiong 10 ; Fang, Yimin 1 ;
作者机构: 1.Nanjing Med Univ, Sch Pharm, Key Lab Cardiovasc & Cerebrovasc Med, Nanjing 211166, Peoples R China
2.Jiangsu Acad Agr Sci, Inst Agr Facil & Equipment, Key Lab Protected Agr Engn Middle & Lower Reaches, Minist Agr & Rural Affairs, Nanjing 210014, Peoples R China
3.Nanjing Med Univ, Sir Run Run Hosp, Dept Clin Pharmacol, Nanjing 211166, Peoples R China
4.Minjiang Teachers Coll, Sch Med Nursing, Outpatient Dept, Fuzhou 350108, Peoples R China
5.Nanjing Med Univ, Sir Run Run Hosp, Dept Gynecol & Obstet, Nanjing 211166, Peoples R China
6.Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Radiat Oncol, Natl Clin Res Ctr Canc,Canc Hosp, Shenzhen 518116, Peoples R China
7.Chinese Acad Med Sci & Peking Union Med Coll, Shenzhen Hosp, Shenzhen 518116, Peoples R China
8.Xiamen Univ, Sch Med, Affiliated Hosp 1, Nursing Teaching & Res Dept, Xiamen 361003, Peoples R China
9.Nanjing Med Univ, Dept Obstet & Gynecol, Affiliated Hosp 2, Nanjing 210011, Peoples R China
10.Fujian Fiber Inspect Ctr, Natl Textile & Garment Qual Supervis Testing Ctr, Fuzhou 350026, Peoples R China
关键词: single bacteria detection; label-free; morphological identification; convection; dark field scattering; microscopy
期刊名称:PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA ( 影响因子:11.1; 五年影响因子:12.0 )
ISSN: 0027-8424
年卷期: 2022 年 119 卷 40 期
页码:
收录情况: SCI
摘要: Rapid detection of pathogenic bacteria within a few minutes is the key to control infec-tious 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 solu-tion, 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 convec-tion 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.
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