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Outer-Surface Supersandwich-Structured Aptamer-Functionalized Nanochannels for Highly Specific Sensing
Zhengxu He1, Defang Ding1, Daisan Zha1
1State Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Material Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China.
Abstract:
Solid-state nanochannel-based sensors show promise for highly sensitive toxic contaminant detection. However, traditional research often prioritizes sensitivity improvement, while specificity enhancement and its mechanisms are frequently overlooked. Herein, we develop a dual-side modified nanochannel sensor by in situ growth of Cu-TCPP metal-organic frameworks (MOFs) on the anodic aluminum oxide (AAO) nanochannel membranes, followed by functionalization with a supersandwich structured DNA (SSW-DNA) aptamer probe on the outer surface of nanochannels. Compared to the nanochannel modified with a single-stranded DNA (ssDNA) aptamer (ssDNA@MOFs), the SSW-DNA@MOFs nanochannel sensor demonstrates an improved specific recognition performance for microcystin-LR (MC-LR) over its structural analogue. Specifically, the discrepancy in ionic current variation rates (R) when SSW-DNA@MOFs senses MC-LR (R = 48.20%) and MC-RR (R = 10.60%) surpasses the corresponding difference when ssDNA@MOFs recognizes MC-LR (R = 15.15%) and MC-RR (R = 9.44%). We demonstrated that after binding the target the SSW-DNA probe undergoes a distinct conformational change, causing a large change in surface-charge density at the real first interface. This interface refers to the region where the aptamer probes on the outer surface of the nanochannels extend into the bulk electrolyte and interact directly with the surrounding solution. The resulting charge change far exceeds that of conventional ssDNA probes, contributing to the specificity enhancement. In addition, this SSW-DNA@MOFs nanochannel sensor has been designed as a portable, on-site test strip for real-world water sample detection. This investigation into the role of the RFI in enhancing specificity provides insight into high-specificity detection in complex environments.
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