Binding Affinity Measurements Between DNA Aptamers and their Virus Targets Using ELONA and MST.

Aptamers have been selected with strong affinity and high selectivity for a wide range of targets, as recently highlighted by the development of aptamer-based sensors that can differentiate infectious from non-infectious viruses, including human adenovirus and SARS-CoV-2. Accurate determination of the binding affinity between the DNA aptamers and their viral targets is the first step to understanding the molecular recognition of viral particles and the potential uses of aptamers in various diagnostics and therapeutic applications. Here, we describe protocols to obtain the binding curve of the DNA aptamers to SARS-CoV-2 using Enzyme-Linked Oligonucleotide Assay (ELONA) and MicroScale Thermophoresis (MST). These methods allow for the determination of the binding affinity of the aptamer to the infectious SARS-CoV-2 and the selectivity of this aptamer against the same SARS-CoV-2 that has been rendered non-infectious by UV inactivation, and other viruses. Compared to other techniques like Electrophoretic Mobility Shift Assay (EMSA), Surface Plasmon Resonance (SPR), and Isothermal Titration Calorimetry (ITC), these methods have advantages for working with larger particles like viruses and with samples that require biosafety level 2 facilities.

In vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses.

Virus infections have a major impact on society; most methods of detection have difficulties in determining whether a detected virus is infectious, causing delays in treatment and further spread of the virus. Developing new sensors that can inform on the infectability of clinical or environmental samples will meet this unmet challenge. However, very few methods can obtain sensing molecules that can recognize an intact infectious virus and differentiate it from the same virus that has been rendered non-infectious by disinfection methods. Here, we describe a protocol to select aptamers that can distinguish infectious viruses vs non-infectious viruses using systematic evolution of ligands by exponential enrichment (SELEX). We take advantage of two features of SELEX. First, SELEX can be tailor-made to remove competing targets, such as non-infectious viruses or other similar viruses, using counter selection. Additionally, the whole virus can be used as the target for SELEX, instead of, for example, a viral surface protein. Whole virus SELEX allows for the selection of aptamers that bind specifically to the native state of the virus, without the need to disrupt of the virus. This method thus allows recognition agents to be obtained based on functional differences in the surface of pathogens, which do not need to be known in advance.

Overcoming the limitations of COVID-19 diagnostics with nanostructures, nucleic acid engineering, and additive manufacturing.

The COVID-19 pandemic revealed fundamental limitations in the current model for infectious disease diagnosis and serology, based upon complex assay workflows, laboratory-based instrumentation, and expensive materials for managing samples and reagents. The lengthy time delays required to obtain test results, the high cost of gold-standard PCR tests, and poor sensitivity of rapid point-of-care tests contributed directly to society's inability to efficiently identify COVID-19-positive individuals for quarantine, which in turn continues to impact return to normal activities throughout the economy. Over the past year, enormous resources have been invested to develop more effective rapid tests and laboratory tests with greater throughput, yet the vast majority of engineering and chemistry approaches are merely incremental improvements to existing methods for nucleic acid amplification, lateral flow test strips, and enzymatic amplification assays for protein-based biomarkers. Meanwhile, widespread commercial availability of new test kits continues to be hampered by the cost and time required to develop single-use disposable microfluidic plastic cartridges manufactured by injection molding. Through development of novel technologies for sensitive, selective, rapid, and robust viral detection and more efficient approaches for scalable manufacturing of microfluidic devices, we can be much better prepared for future management of infectious pathogen outbreaks. Here, we describe how photonic metamaterials, graphene nanomaterials, designer DNA nanostructures, and polymers amenable to scalable additive manufacturing are being applied towards overcoming the fundamental limitations of currently dominant COVID-19 diagnostic approaches. In this paper, we review how several distinct classes of nanomaterials and nanochemistry enable simple assay workflows, high sensitivity, inexpensive instrumentation, point-of-care sample-to-answer virus diagnosis, and rapidly scaled manufacturing.

Label-Free Digital Detection of Intact Virions by Enhanced Scattering Microscopy.

Several applications in health diagnostics, food, safety, and environmental monitoring require rapid, simple, selective, and quantitatively accurate viral load monitoring. Here, we introduce the first label-free biosensing method that rapidly detects and quantifies intact virus in human saliva with single-virion resolution. Using pseudotype SARS-CoV-2 as a representative target, we immobilize aptamers with the ability to differentiate active from inactive virions on a photonic crystal, where the virions are captured through affinity with the spike protein displayed on the outer surface. Once captured, the intrinsic scattering of the virions is amplified and detected through interferometric imaging. Our approach analyzes the motion trajectory of each captured virion, enabling highly selective recognition against nontarget virions, while providing a limit of detection of 1 × 103 copies/mL at room temperature. The approach offers an alternative to enzymatic amplification assays for point-of-collection diagnostics.

Numerical Simulation of the Diffusion Processes in Nanoelectrode Arrays Using an Axial Neighbor Symmetry Approximation.

Nanoelectrode arrays have introduced a complete new battery of devices with fascinating electrocatalytic, sensitivity, and selectivity properties. To understand and predict the electrochemical response of these arrays, a theoretical framework is needed. Cyclic voltammetry is a well-fitted experimental technique to understand the undergoing diffusion and kinetics processes. Previous works describing microelectrode arrays have exploited the interelectrode distance to simulate its behavior as the summation of individual electrodes. This approach becomes limited when the size of the electrodes decreases to the nanometer scale due to their strong radial effect with the consequent overlapping of the diffusional fields. In this work, we present a computational model able to simulate the electrochemical behavior of arrays working either as the summation of individual electrodes or being affected by the overlapping of the diffusional fields without previous considerations. Our computational model relays in dividing a regular electrode array in cells. In each of them, there is a central electrode surrounded by neighbor electrodes; these neighbor electrodes are transformed in a ring maintaining the same active electrode area than the summation of the closest neighbor electrodes. Using this axial neighbor symmetry approximation, the problem acquires a cylindrical symmetry, being applicable to any diffusion pattern. The model is validated against micro- and nanoelectrode arrays showing its ability to predict their behavior and therefore to be used as a designing tool.

Synthesis of atomic metal clusters on nanoporous alumina.

The synthesis of atomic metal (gold and nickel) clusters by pulsed galvanostatic electrodeposition on nanoporous alumina is presented. The method allows the production of clusters with an average diameter of 0.7 nm for gold and 1.1 nm for nickel, while the size can be controlled through the current density applied. This strategy represents a simple and efficient method for the construction of heterogeneous catalysts and sub-nanometre electrode arrays exemplified here by the reduction of 4-nitrophenol and the electrochemical response to ferrocyanide.

A polyelectrolyte-surfactant complex as support layer for membrane functionalization.

A polyelectrolyte-surfactant complex, polyallylamine-dodecylsulfate system, is presented as an alternative method for the modification of membranes. Due its chemical structure, the complex, once casted on a surface, is highly stable in aqueous solutions. This allows modifying with the same method different types of membranes, exemplified here by alumina and polycarbonate. Using different strategies, the complex system can also incorporate other elements useful for catalysis, biorecognition, or separation. Two applications are presented: the incorporation of gold nanoparticles to catalyze the reduction of 4-nitrophenol using a polycarbonate membrane, and the modification of alumina with a biotin derivative for the recognition of avidin in label-free sensors.