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|Title:||A rotationally focused flow (RFF) microfluidic biosensor by density difference for early-stage detectable diagnosis||Authors:||Kim, Noori
|Keywords:||Engineering::Mechanical engineering||Issue Date:||2021||Source:||Kim, N., Han, K., Su, P., Kim, I. & Yoon, Y. (2021). A rotationally focused flow (RFF) microfluidic biosensor by density difference for early-stage detectable diagnosis. Scientific Reports, 11(1), 9277-. https://dx.doi.org/10.1038/s41598-021-88647-0||Journal:||Scientific Reports||Abstract:||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.||URI:||https://hdl.handle.net/10356/151997||ISSN:||2045-2322||DOI:||10.1038/s41598-021-88647-0||Rights:||© 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||MAE Journal Articles|
Updated on May 19, 2022
Updated on May 19, 2022
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