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Rapid Identification and Monitoring of Multiple Bacterial Infections Using Printed Nanoarrays.
Zhang, Zeying; Sun, Yali; Yang, Yaqi; Yang, Xu; Wang, Huadong; Yun, Yang; Pan, Xiangyu; Lian, Zewei; Kuzmin, Artem; Ponkratova, Ekaterina; Mikhailova, Julia; Xie, Zian; Chen, Xiaoran; Pan, Qi; Chen, Bingda; Xie, Hongfei; Wu, Tingqing; Chen, Sisi; Chi, Jimei; Liu, Fangyi; Zuev, Dmitry; Su, Meng; Song, Yanlin.
Affiliation
  • Zhang Z; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Sun Y; School of Physics, ITMO University, Saint Petersburg, 197101, Russia.
  • Yang Y; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Yang X; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Wang H; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Yun Y; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Pan X; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Lian Z; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Kuzmin A; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Ponkratova E; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Mikhailova J; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Xie Z; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Chen X; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Pan Q; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Chen B; School of Physics, ITMO University, Saint Petersburg, 197101, Russia.
  • Xie H; School of Physics, ITMO University, Saint Petersburg, 197101, Russia.
  • Wu T; School of Physics, ITMO University, Saint Petersburg, 197101, Russia.
  • Chen S; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Chi J; University of Chinese Academy of Sciences (UCAS), P. R. China.
  • Liu F; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Zuev D; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Su M; Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China.
  • Song Y; University of Chinese Academy of Sciences (UCAS), P. R. China.
Adv Mater ; 35(12): e2211363, 2023 Mar.
Article in En | MEDLINE | ID: mdl-36626679
Fast and accurate detection of microbial cells in clinical samples is highly valuable but remains a challenge. Here, a simple, culture-free diagnostic system is developed for direct detection of pathogenic bacteria in water, urine, and serum samples using an optical colorimetric biosensor. It consists of printed nanoarrays chemically conjugated with specific antibodies that exhibits distinct color changes after capturing target pathogens. By utilizing the internal capillarity inside an evaporating droplet, target preconcentration is achieved within a few minutes to enable rapid identification and more efficient detection of bacterial pathogens. More importantly, the scattering signals of bacteria are significantly amplified by the nanoarrays due to strong near-field localization, which supports a visualizable analysis of the growth, reproduction, and cell activity of bacteria at the single-cell level. Finally, in addition to high selectivity, this nanoarray-based biosensor is also capable of accurate quantification and continuous monitoring of bacterial load on food over a broad linear range, with a detection limit of 10 CFU mL-1 . This work provides an accessible and user-friendly tool for point-of-care testing of pathogens in many clinical and environmental applications, and possibly enables a breakthrough in early prevention and treatment.
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Full text: 1 Database: MEDLINE Main subject: Bacterial Infections / Biosensing Techniques Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Adv Mater Journal subject: BIOFISICA / QUIMICA Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Bacterial Infections / Biosensing Techniques Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Adv Mater Journal subject: BIOFISICA / QUIMICA Year: 2023 Type: Article