[논문]A rotationally focused flow (RFF) microfluidic biosensor by density difference for early-stage detectable diagnosis

Kim, Noori; Han, Kyungsup; Su, Pei-Chen; Kim, Insup; Yoon, Yong-Jin

doi:10.1038/s41598-021-88647-0

[해외논문] A rotationally focused flow (RFF) microfluidic biosensor by density difference for early-stage detectable diagnosis 원문보기

Scientific reports, v.11 no.1, 2021년, pp.9277 -

Kim, Noori (Department of Electrical and Electronic Engineering, Newcastle University in Singapore, 172A Ang Mo Kio Avenue 8, 05-01 SIT@NYP Building, Singapore, 567739 Singapore) , Han, Kyungsup (School of Mechanical and Aerospace Engineering, Nanyang Technological University (NTU), Singapore, 639798 Singapore) , Su, Pei-Chen (School of Mechanical and Aerospace Engineering, Nanyang Technological University (NTU), Singapore, 639798 Singapore) , Kim, Insup (Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Korea) , Yoon, Yong-Jin (School of Mechanical and Aerospace Engineering, Nanyang Technological University (NTU), Singapore, 639798 Singapore)

Abstract ▼ AI-Helper

Label-free optical biosensors have received tremendous attention in point-of-care testing, especially in the emerging pandemic, COVID-19, since they advance toward early-detection, rapid, real-time, ease-of-use, and low-cost paradigms. Protein biomarkers testings require less sample modification process compared to nucleic-acid biomarkers’. However, challenges always are in detecting low-concentration for early-stage diagnosis. Here we present a Rotationally Focused Flow (RFF) method to enhance sensitivity(wavelength shift) of label-free optical sensors by increasing the detection probability of protein-based molecules. The RFF is structured by adding a less-dense fluid to focus the target-fluid in a T-shaped microchannel. It is integrated with label-free silicon microring resonators interacting with biotin-streptavidin. The suggested mechanism has demonstrated 0.19 fM concentration detection along with a significant magnitudes sensitivity enhancement compared to single flow methods. Verified by both CFD simulations and fluorescent flow-experiments, this study provides a promising proof-of-concept platform for next-generation lab-on-a-chip bioanalytics such as ultrafast and early-detection of COVID-19.

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