Electrical antimicrobial susceptibility testing based on aptamer-functionalized capacitance sensor array for clinical isolates

Kyo Seok Lee, Sun Mi Lee, Jeseung Oh, In Ho Park, Jun Ho Song, Myeonggil Han, Dongeun Yong, Kook Jin Lim, Jeon Soo Shin, Kyung Hwa Yoo

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


To prescribe effective antibiotics to patients with bacterial infections in a timely manner and to avoid the misuse of antibiotics, a rapid antimicrobial susceptibility test (AST) is essential. However, conventional AST methods require more than 16 h to provide results; thus, we developed an electrical AST (e-AST) system, which provides results within 6 h. The proposed e-AST is based on an array of 60 aptamer-functionalized capacitance sensors that are comparable to currently available AST panels and a pattern-matching algorithm. The performance of the e-AST was evaluated in comparison with that of broth microdilution as the reference test for clinical strains isolated from septic patients. A total of 4,554 tests using e-AST showed a categorical agreement of 97% with a minor error of 2.2%, major error of 0.38%, and very major error of 0.38%. We expect that the proposed e-AST could potentially aid antimicrobial stewardship efforts and lead to improved patient outcomes.

Original languageEnglish
Article number13709
JournalScientific reports
Issue number1
Publication statusPublished - 2020 Dec 1

Bibliographical note

Funding Information:
This work was supported by the Nano-Convergence Foundation (Grant No. R201801311) and Advanced Technology Center+Program (ATC+, Grant No. 20008864) funded by the Ministry of Trade, Industry and Energy (MOTIE, KOREA) and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, Future Planning and the Korean government (MEST) (Grant Nos. 2017R1D1A1B03028551, 2019R1H1A2080077, 2019R1H1A2079842, 2020R1A202011942, 2020R1A2C1006092, and 2019R1A6A1A03032869) and Brain Korea 21 PLUS Project for Medical Science.

Publisher Copyright:
© 2020, The Author(s).

All Science Journal Classification (ASJC) codes

  • General


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