Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Jeong-Yeol Yoon is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Bioanalytical approaches for the detection, characterization, and risk assessment of micro/nanoplastics in agriculture and food systems
Yu, C., Takhistov, P., Alocilja, E., de Corcuera, J. R., Frey, M. W., Gomes, C. L., Mao, Y. J., McLamore, E. S., Lin, M., Tsyusko, O. V., Tzeng, T. R. J., Yoon, J. Y. & Zhou, A., Jul 2022, In: Analytical and bioanalytical chemistry. 414, 16, p. 4591-4612 22 p.Research output: Contribution to journal › Review article › peer-review
3 Scopus citations -
Biosensor detection of airborne respiratory viruses such as SARS-CoV-2
Breshears, L. E., Nguyen, B. T., Mata Robles, S., Wu, L. & Yoon, J. Y., Feb 1 2022, In: SLAS Technology. 27, 1, p. 4-17 14 p.Research output: Contribution to journal › Review article › peer-review
Open Access5 Scopus citations -
COVID-19 variants’ cross-reactivity on the paper microfluidic particle counting immunoassay
Kim, S., Eades, C. & Yoon, J. Y., Nov 2022, In: Analytical and bioanalytical chemistry. 414, 28, p. 7957-7965 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Direct capture and smartphone quantification of airborne SARS-CoV-2 on a paper microfluidic chip
Kim, S., Akarapipad, P., Nguyen, B. T., Breshears, L. E., Sosnowski, K., Baker, J., Uhrlaub, J. L., Nikolich-Žugich, J. & Yoon, J. Y., Mar 15 2022, In: Biosensors and Bioelectronics. 200, 113912.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
Flow rate profile based PFAS detection on smartphone- and paper-based microfluidics
Yoon, J-Y., Breshears, L. E., Mata-Robles, S. & Reynolds, K. A., 2022, 2022 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2022 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Nanoarray-Type Detection of Oct3/4 and Cdx2 using AuNPs and E-beam Patterns
Project: Research project
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Nanoarray-Type Detection of Oct3/4 and Cdx2 using AuNPs and E-beam Patterns
6/1/07 → 5/31/10
Project: Research project
Datasets
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Data from: Mie scattering and microparticle based characterization of heavy metal ions and classification by statistical inference methods
Klug, K. E. (Contributor), Jennings, C. M. (Contributor), Lytal, N. (Contributor), An, L. (Contributor) & Yoon, J. (Contributor), ZENODO, 2019
DOI: 10.5061/dryad.62n8p0q, https://zenodo.org/record/4957023
Dataset
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Paper-based in vitro tissue chip for delivering programmed mechanical stimuli of local compression and shear flow
Kaarj, K. (Creator), Madias, M. (Creator), Akarapipad, P. (Contributor), Cho, S. (Contributor) & Yoon, J. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.5076046.v1, https://springernature.figshare.com/collections/Paper-based_in_vitro_tissue_chip_for_delivering_programmed_mechanical_stimuli_of_local_compression_and_shear_flow/5076046/1
Dataset
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Data from: Mie scattering and microparticle based characterization of heavy metal ions and classification by statistical inference methods
Klug, K. E. (Creator), Jennings, C. M. (Creator), Lytal, N. (Creator), An, L. (Creator) & Yoon, J. (Creator), Dryad, 2019
DOI: 10.5061/dryad.62n8p0q, http://datadryad.org/stash/dataset/doi:10.5061/dryad.62n8p0q
Dataset