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

机译:蒸发诱导的多功能生物分子检测超亲水图案表面:葡萄糖和DNA分析

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摘要

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-strandedDNA and developed fluorescence-based DNA detection to demonstratethe adaptability of the patterned surfaces for a different class ofassay. We achieved detection of glucose and DNA with concentrationdown to 130 μM and 200 fM, respectively. Patterned superhydrophobicsurfaces with their simple production, sensitive response, and versatilitypresent potential for bioanalysis from low sample volumes.
机译:我们引入了基于液滴的生物分子检测平台,该平台使用了功能强大,用途广泛且低成本的超亲水图案化超疏水表面。受益于水滴在湿润模式下的封闭和蒸发引起的收缩,我们显示了使用非常低样本量的基于富集的生物分子检测。首先,我们基于荧光介导的葡萄糖氧化反应中产生的过氧化氢(H2O2)增强了PDA发射,开发了使用荧光聚多巴胺(PDA)的葡萄糖测定法。与散装溶液相比,蒸发液滴中的孵育产生更亮的荧光。液滴测定法对增加的葡萄糖浓度高度敏感,而在毫升体积的溶液中,在相似的时间范围内未导致荧光增强。这是由于液滴蒸发,通过引起PDA和葡萄糖/葡萄糖氧化酶的富集以及收缩液滴中生成的H2O2浓度增加而增加了反应速率。其次,我们用单链化学功能化了润湿的图案DNA并开发了基于荧光的DNA检测来证明图案化表面对于不同类别的表面的适应性分析。我们实现了高浓度检测葡萄糖和DNA分别降至130μM和200 fM。图案超疏水生产简单,反应灵敏且用途广泛的表面低样品量具有生物分析的潜力。

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