Nucleic Acid Identity, Structure, and Flexibility Affect the Electrochemical Signal of Tethered Redox Molecules upon Biopolymer Collapse

Application and Progress of Chemometrics in Voltammetric Biosensing

The voltammetric electrochemical sensing method combined with biosensors and multi-sensor systems can quickly, accurately, and reliably analyze the concentration of the main analyte and the overall characteristics of complex samples. Simultaneously, the high-dimensional voltammogram contains the rich electrochemical features of the detected substances. Chemometric methods are important tools for mining valuable information from voltammetric data. Chemometrics can aid voltammetric biosensor calibration and multi-element detection in complex matrix conditions. This review introduces the voltammetric analysis techniques commonly used in the research of voltammetric biosensor and electronic tongues. Then, the research on optimizing voltammetric biosensor results using classical chemometrics is summarized. At the same time, the incorporation of machine learning and deep learning has brought new opportunities to further improve the detection performance of biosensors in complex samples. Finally, smartphones connected with miniaturized voltammetric biosensors and chemometric methods provide a high-quality portable analysis platform that shows great potential in point-of-care testing.

Effects of Nucleic Acid Structural Heterogeneity on the Electrochemistry of Tethered Redox Molecules

The cation condensation-induced collapse of electrode-bound nucleic acids and the resulting change in the electrochemical signal is a useful tool to predict the structure and redox probe location of heterogeneous structures of surface-tethered DNA probes─a common architecture employed in the development of electrochemical sensors. In this paper, we measure the faradaic current of an appended redox molecule at the 3' position of the nucleic acid using cyclic voltammetry before and after nucleic acid collapse for various nucleic acid architectures and heterogeneous mixtures on the same electrode surface. The voltammetric peak current change with collapse correlates with the proximity of the redox molecules from the surface. For stem-loop probes, the terminal methylene blue is initially held closer to the surface, such that inducing collapse, by reducing the dielectric permittivity of the interrogation solution, results in a ∼30% increase in current. However, when incorporating pseudoknot probes that hold methylene blue further away from the electrode surface, the current change is much larger (∼120%), indicating a larger conformation change. Upon a 50:50 ratio of the two, we observe a change in current that relates to the ratiometric distribution of the probe used to make the surfaces. Additionally, using cyclic voltammetry, we find that the change between diffusion-limited and diffusion-independent peak currents is dependent upon the distinct structural characteristics of DNA probes on the surface (stem-loop or pseudoknot), as well as the ratios of different DNA probes on the surface. Thus, we demonstrate that the heterogeneous nature of DNA probes governs the corresponding electrochemical signals, which can lead to a better understanding on how to predict the structures of functional nucleic acids on electrode surfaces and how this affects surface-to-surface variability and electrochemical response.

Characterizing Aptamers with Reconfigurable Chiral Plasmonic Assemblies

Aptamers have emerged as versatile affinity ligands and as promising alternatives to protein antibodies. However, the inconsistency in the reported affinities and specificities of aptamers has greatly hindered the development of aptamer-based applications. Herein, we present a strategy to characterize aptamers by using DNA origami-based chiral plasmonic assemblies as reporters and establishing a competitive hybridization reaction-based thermodynamic model. We demonstrate the characterization of several DNA aptamers, including aptamers for small molecules and macromolecules, as well as aptamers with high and low affinities. The presented characterization scheme can be readily adapted to a wide selection of aptamers. We anticipate that our approach will advance the development of aptamer-based applications by enabling reliable and reproducible characterization of aptamers.