Jeong-Yeol Yoon, Ph.D.
Affiliations: | 1999-2003 | Biomedical Engineering / Chemistry & Biochemistry | University of California, Los Angeles, Los Angeles, CA |
2004- | Biomedical Engineering / Biosystems Engineering/ Chemistry & Biochemistry | University of Arizona, Tucson, AZ |
Area:
biosensorWebsite:
https://biosensors.abe.arizona.eduGoogle:
"Jeong-Yeol Yoon"Mean distance: 11.12 | S | N | B | C | P |
Parents
Sign in to add mentorRobin L. Garrell | grad student | 2003 | UCLA | |
(Proteins at aqueous interfaces: Adsorption, cohesion and microfluidic applications.) |
Children
Sign in to add traineeSoo Chung | grad student | Seoul National University | |
Kattika Kaarj | grad student | Suranaree University of Technology | |
Sangsik Kim | post-doc | Kyungpook National University | |
Tusan Park | post-doc | Kyungpook National University |
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Publications
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Khanthaphixay B, Wu L, Yoon JY. (2023) Microparticle-Based Detection of Viruses. Biosensors. 13 |
Hertenstein T, Tang Y, Day AS, et al. (2023) Rapid and sensitive detection of miRNA via light scatter-aided emulsion-based isothermal amplification using a custom low-cost device. Biosensors & Bioelectronics. 237: 115444 |
Kim S, Samanta K, Nguyen BT, et al. (2023) A portable immunosensor provides sensitive and rapid detection of Borrelia burgdorferi antigen in spiked blood. Scientific Reports. 13: 7546 |
Tang Y, Hardy TJ, Yoon JY. (2023) Receptor-based detection of microplastics and nanoplastics: Current and future. Biosensors & Bioelectronics. 234: 115361 |
Kaarj K, Yoon JY. (2023) Loop-Mediated Isothermal Amplification on Paper Microfluidic Chips for Highly Sensitive and Specific Zika Virus Detection Using Smartphone. Methods in Molecular Biology (Clifton, N.J.). 2621: 307-323 |
Liang Y, Buchanan BC, Khanthaphixay B, et al. (2023) Sensitive SARS-CoV-2 salivary antibody assays for clinical saline gargle samples using smartphone-based competitive particle immunoassay platforms. Biosensors & Bioelectronics. 229: 115221 |
Liang Y, Lee MH, Zhou A, et al. (2023) eXtreme gradient boosting-based classification of bacterial mixtures in water and milk using wireless microscopic imaging of quorum sensing peptide-conjugated particles. Biosensors & Bioelectronics. 227: 115144 |
Chung S, Loh A, Jennings CM, et al. (2023) Capillary flow velocity profile analysis on paper-based microfluidic chips for screening oil types using machine learning. Journal of Hazardous Materials. 447: 130806 |
Breshears LE, Mata-Robles S, Tang Y, et al. (2022) Rapid, sensitive detection of PFOA with smartphone-based flow rate analysis utilizing competitive molecular interactions during capillary action. Journal of Hazardous Materials. 446: 130699 |
Yoon JY, Chen CH. (2022) Microfluidic detection of viruses for human health. Biomicrofluidics. 16: 060401 |