Ultra-Fast Photonic Digital Polymerase Chain Reaction based on N-Heterocyclic Carbene Self-Assembled Monolayer
- Authors
- Kim, Kyung Ho; Seo, Sung Eun; Kim, Jinyeong; Park, Seon Joo; An, Jai Eun; Shin, Chan Jae; Ryu, Choong-Min; Lee, Sung Woon; Nam, Ho Chul; Yoon, Tae Ho; Shin, Jong Cheol; Kim, Yu Kyung; Oh, Hanseul; Hong, Jung Joo; Kim, Brian N.; Lee, Kyoung G.; Song, Hyun Seok; Lee, Sang Hun; Kwon, Oh Seok
- Issue Date
- 2023-09
- Publisher
- John Wiley & Sons Ltd.
- Citation
- Advanced Functional Materials, v.33, no.37
- Abstract
- A molecular diagnosis of the respiratory syncytial virus (RSV) without bulky and expensive instrumentation is of great importance for the early detection and prevention in a fast-spreading pandemic. However, the current representative diagnostic methods have the limitation of being time-consuming, cost, the processing time for polymerase chain reaction (PCR), and inaccurate for lateral flow assay (LFA), representatively. Herein, an integrated photonic digital PCR (dPCR) is developed with high-velocity photonic scanner for in situ fluorescence detection by introducing the N-heterocyclic carbene self-assembled monolayer-based Au film to prevent the quenching effect. The on-site rapid molecular diagnostic platform shows the driving of 40 cycles in under 8 min and fluorescence scanning in under 7 min, resulting in a total analysis time within 15 min. In particular, the technology clearly demonstrates the classification of SARS-CoV-2 patients and healthy controls (99% in sensitivity, 98.6% in specificity, and 96.4% in accuracy with RdRp gene), comparing with standard RT-qPCR. This platform can be utilized for prompt point-of-care molecular diagnostics in early diagnosis and large-scale prevention of next pandemic spreading for upcoming infectious diseases and for the distinction diagnosis with other RSV.
- Keywords
- carbene chemistry; dPCR; PoCT; portable devices; respiratory syncytial virus
- ISSN
- 1616-301X
- URI
- https://pubs.kist.re.kr/handle/201004/113365
- DOI
- 10.1002/adfm.202303728
- Appears in Collections:
- KIST Article > 2023
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