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:
biosensor
Website:
https://biosensors.abe.arizona.edu
Google:
"Jeong-Yeol Yoon"
Mean distance: 11.12
 
SNBCP

Parents

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Robin L. Garrell grad student 2003 UCLA
 (Proteins at aqueous interfaces: Adsorption, cohesion and microfluidic applications.)
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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
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