Evaporation-Induced Biomolecule Detection on Versatile Superhydrophilic Patterned Surfaces: Glucose and DNA Assay

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2018-10-01

Author

Beyazkılıç Ayas, Pınar
Saateh, Abtin
Bayindir, Mehmet
Elbuken, Caglar

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We introduce a droplet-based biomolecular detection platform using robust, versatile, and low-cost superhydrophilic patterned superhydrophobic surfaces. Benefitting from confinement and evaporation-induced shrinkage of droplets on wetted patterns, we show enrichment-based biomolecular detection using very low sample volumes. First, we developed a glucose assay using fluorescent polydopamine (PDA) based on enhancement of PDA emission by hydrogen peroxide (H2O2) produced in enzyme-mediated glucose oxidation reaction. Incubation in evaporating droplets resulted in brighter fluorescence compared to that in bulk solutions. Droplet assay was highly sensitive toward increasing glucose concentration while that in milliliter-volume solutions resulted in no fluorescence enhancement at similar time scales. This is due to droplet evaporation that increased the reaction rate by causing enrichment of PDA and glucose/glucose oxidase as well as increased concentration of H2O2 generated in shrinking droplet. Second, we chemically functionalized wetted patterns with single-stranded DNA and developed fluorescence-based DNA detection to demonstrate the adaptability of the patterned surfaces for a different class of assay. We achieved detection of glucose and DNA with concentration down to 130 mu M and 200 fM, respectively. Patterned superhydrophobic surfaces with their simple production, sensitive response, and versatility present potential for bioanalysis from low sample volumes.

URI

https://hdl.handle.net/11511/96208

Journal

ACS OMEGA

DOI

https://doi.org/10.1021/acsomega.8b00389

Collections

Department of Chemical Engineering, Article

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Citation Formats

P. Beyazkılıç Ayas, A. Saateh, M. Bayindir, and C. Elbuken, “Evaporation-Induced Biomolecule Detection on Versatile Superhydrophilic Patterned Surfaces: Glucose and DNA Assay,” ACS OMEGA, vol. 3, no. 10, pp. 13503–13509, 2018, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/96208.