Electrochemical reduction of carbon dioxide (CO) to carbon monoxide (CO) is the first step in the synthesis of more complex carbon-based fuels and feedstocks using renewable electricity. Unfortunately, the reaction suffers from slow kinetics owing to the low local concentration of CO surrounding typical CO reduction reaction catalysts. Alkali metal cations are known to overcome this limitation through non-covalent interactions with adsorbed reagent species, but the effect is restricted by the solubility of relevant salts. Large applied electrode potentials can also enhance CO adsorption, but this comes at the cost of increased hydrogen (H) evolution. Here we report that nanostructured electrodes produce, at low applied overpotentials, local high electric fields that concentrate electrolyte cations, which in turn leads to a high local concentration of CO close to the active CO reduction reaction surface. Simulations reveal tenfold higher electric fields associated with metallic nanometre-sized tips compared to quasi-planar electrode regions, and measurements using gold nanoneedles confirm a field-induced reagent concentration that enables the CO reduction reaction to proceed with a geometric current density for CO of 22 milliamperes per square centimetre at -0.35 volts (overpotential of 0.24 volts). This performance surpasses by an order of magnitude the performance of the best gold nanorods, nanoparticles and oxide-derived noble metal catalysts. Similarly designed palladium nanoneedle electrocatalysts produce formate with a Faradaic efficiency of more than 90 per cent and an unprecedented geometric current density for formate of 10 milliamperes per square centimetre at -0.2 volts, demonstrating the wider applicability of the field-induced reagent concentration concept.

The analysis of circulating tumor cells (CTCs) is an important capability that may lead to new approaches for cancer management. CTC capture devices developed to date isolate a bulk population of CTCs and do not differentiate subpopulations that may have varying phenotypes with different levels of clinical relevance. Here, we present a new device for CTC spatial sorting and profiling that sequesters blood-borne tumor cells with different phenotypes into discrete spatial bins. Validation data are presented showing that cancer cell lines with varying surface expression generate different binning profiles within the device. Working with patient blood samples, we obtain profiles that elucidate the heterogeneity of CTC populations present in cancer patients and also report on the status of CTCs within the epithelial-to-mesenchymal transition (EMT).

Over the last decade, significant progress has been made towards the development of approaches that enable the capture of rare circulating tumor cells (CTCs) from the blood of cancer patients, a critical capability for noninvasive tumor profiling. These advances have leveraged new insights in materials chemistry and microfluidics and allowed the capture and enumeration of CTCs with unprecedented sensitivity. However, it has become increasingly clear that simply capturing and counting tumor cells launched into the bloodstream may not provide the information needed to advance our understanding of the biology of these rare cells, or to allow us to better exploit them in medicine. A variety of advances have now emerged demonstrating that more information can be extracted from CTCs with next-generation devices and materials featuring tailored physical and chemical properties. In this Minireview, the last ten years of work in this area will be discussed, with an emphasis on the groundbreaking work of the last five years, during which the focus has moved beyond the simple capture of CTCs and gravitated towards approaches that enable in-depth analysis.

Cancer cells, and in particular those found circulating in blood, can have widely varying phenotypes and molecular profiles despite a common origin. New methods are needed that can deconvolute the heterogeneity of cancer cells and sort small numbers of cells to aid in the characterization of cancer cell subpopulations. Here, we describe a new molecular approach to capturing cancer cells that isolates subpopulations using two-dimensional sorting. Using aptamer-mediated capture and antisense-triggered release, the new strategy sorts cells according to levels of two different markers and thereby separates them into their corresponding subpopulations. Using a phenotypic assay, we demonstrate that the subpopulations isolated have markedly different properties. This system provides an important new tool for identifying circulating tumor cell subtypes.

Conversion of CO to CO powered by renewable electricity not only reduces CO pollution but also is a means to store renewable energy via chemical production of fuels from CO. However, the kinetics of this reaction are slow due its large energetic barrier. We have recently reported CO reduction that is considerably enhanced via local electric field concentration at the tips of sharp gold nanostructures. The high local electric field enhances CO concentration at the catalytic active sites, lowering the activation barrier. Here we engineer the nucleation and growth of next-generation Au nanostructures. The electroplating overpotential was manipulated to generate an appreciably increased density of honed nanoneedles. Using this approach, we report the first application of sequential electrodeposition to increase the density of sharp tips in CO electroreduction. Selective regions of the primary nanoneedles are passivated using a thiol SAM (self-assembled monolayer), and then growth is concentrated atop the uncovered high-energy planes, providing new nucleation sites that ultimately lead to an increase in the density of the nanosharp structures. The two-step process leads to a new record in CO to CO reduction, with a geometric current density of 38 mA/cm at -0.4 V (vs reversible hydrogen electrode), and a 15-fold improvement over the best prior reports of electrochemical surface area (ECSA) normalized current density.

Three-dimensional (3D) electrodes with large surface areas are highly effective biomolecular sensors. These structures can be generated via the electrodeposition of gold inside microscale apertures patterned on the surface of a microelectronic chip. Such electrodes enable the ultrasensitive analysis of nucleic acids, proteins, and small molecules. Since the performance of these electrodes is directly related to their surface area, the ability to control their microscale morphology is critical. Here, we explore an electrochemical model based on the theory of nucleation and growth to better understand how to control the morphology of these electrodes. The insights gained from this model enabled us to create preferential conditions for the formation of different morphological features. We demonstrate for the first time that electrodeposition of 3D nanostructured microelectrodes inside a microscale aperture is governed by two stages of nucleation and growth. The first stage involves the creation of primary nuclei at the bottom of the aperture. The second stage features the generation of new nuclei upon exposure to the bulk solution. Depending on the overpotential, the deposition is then continued by either rapid growth of the original nuclei or fast growth of new nuclei. Faster electrodeposition at high overpotentials promotes directional growth, generating spiky structures. More isotropic growth is observed with low overpotentials, generating rounder features. Ultimately we determine the efficiency of DNA hybridization on a variety of structures and identify the optimal morphologies for rapid DNA−DNA duplex formation.

The spread of antibiotic-resistant bacteria poses a global threat to public health. Conventional bacterial detection and identification methods often require pre-enrichment and/or sample preprocessing and purification steps that can prolong diagnosis by days. Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most widespread antibiotic-resistant bacteria and is the leading cause of hospital-acquired infections. Here, we have developed a method to specifically capture and detect MRSA directly from patient nasal swabs with no prior culture and minimal processing steps using a microfluidic device and antibody-functionalized magnetic nanoparticles. Bacteria are captured based on antibody recognition of a membrane-bound protein marker that confers β-lactam antibiotic resistance. MRSA identification is then achieved by the use of a strain-specific antibody functionalized with alkaline phosphatase for electrochemical detection. This approach ensures that only those bacteria of the target strain and resistance profile are measured. The method has a limit of detection of 845 CFU/mL and excellent discrimination against high concentrations of common nontarget nasal flora with a turnaround time of under 4.5 h. This detection method was successfully validated using clinical nasal swab specimens (n = 30) and has the potential to be tailored to various bacterial targets.

The analysis of circulating tumor cells (CTCs) is an important capability that may lead to new approaches for cancer management. CTC capture devices developed to date isolate a bulk population of CTCs and do not differentiate subpopulations that may have varying phenotypes with different levels of clinical relevance. Here, we present a new device for CTC spatial sorting and profiling that sequesters bloodborne tumor cells with different phenotypes into discrete spatial bins. Validation data are presented showing that cancer cell lines with varying surface expression generate different binning profiles within the device. Working with patient blood samples, we obtain profiles that elucidate the heterogeneity of CTC populations present in cancer patients and also report on the status of CTCs within the epithelial-to-mesenchymal transition (EMT).