Revealing the solid-solution interface interference behaviors between Cu and As(III) via partial peak area analysis of simulations and experiments.

The mutual interference in the sensing detection of heavy metal ions (HMIs) is considerably serious and complex. Besides, the co-existed ions may change the stripping peak intensity, shape and position of the target ion, which partly makes peak current analysis inaccurate. Herein, a promising approach of partial peak area analysis was proposed firstly to research the mutual interference.

Practical Strategy for Arsenic(III) Electroanalysis without Modifier in Natural Water: Triggered by Iron Group Ions in Solution.

Significant progress has been made in nanomaterial-modified electrodes for highly efficient electroanalysis of arsenic(III) (As(III)). However, the modifiers prepared using some physical methods may easily fall off, and active sites are not uniform, causing the potential instability of the modified electrode. This work first reports a promising practical strategy without any modifiers via utilizing only soluble Fe as a trigger to detect trace-level As(III) in natural water.

Highly Sensitive and Stable Determination of As(III) under Near-Neutral Conditions: Benefit from the Synergetic Catalysis of Pt Single Atoms and Active S Atoms over Pt/MoS.

Designing new catalysts with high activity and stability is crucial for the effective analysis of environmental pollutants under mild conditions. Here, we developed a superior catalyst of Pt single atoms anchored on MoS (Pt/MoS) to catalyze the determination of As(III). A detection sensitivity of 3.

Au Nanoclusters Exhibit Superhigh Catalytic Activity in Electrochemical Detection of As(III).

An atomic-level Au nanocluster, as an excellent photocatalyst, is generally not considered as an efficient electrocatalyst due to its poor stability. Herein, a method is proposed to stabilize abundant Au on FeO nanoplates (Au/OV-FeO) successfully with oxygen vacancies (OV) created. Au/OV-FeO shows superhigh catalysis in the electrochemical reduction toward As(III).

Boosting sensitive and selective detection toward Pb(II) via activation effect of Co and orbital coupling between Pb and O over Co@CoO nanocatalyst.

Fruitful achievements on electrochemical detection toward Pb(II) have been achieved, and their good performance is generally attributed to the adsorption property of nanomaterials. However, the design of sensing interfaces from the electronic structure and electron transfer process is limited. Here, Co@CoO acquired an ultra-high detection sensitivity of 103.

Close band center and rapid adsorption kinetics facilitate selective electrochemical sensing of heavy metal ions.

Combining density functional theory calculation with experiments and kinetics simulation, a multiscale framework describing the influence of reactant-substrate interaction on electrochemical performance was proposed. It was found that the close band center and the rapid adsorption kinetics facilitated the highly selective response of Ni(111) toward Cu(ii), providing a useful tactic to investigate the mechanism of electro-selectivity. This work not only verified that the interaction strength in the ex situ conditions, and kinetics rate could be applied to evaluate the electrochemical selectivity, but also contributed to the options and forecasting of selective electrode materials for heavy metal ions.

Zero-valent iron nanomaterial Fe@FeMnO for ultrasensitive electroanalysis of As(iii): Fe influenced surficial redox potential.

A novel zero-valent iron nanomaterial (Fe@FeMnO) was synthesized and achieved an ultrasensitive electrochemical detection of As(iii). It was found that the enhanced sensitivity is attributed to the surficial catalytic redox couple Fe(ii)/Fe(iii) induced by Fe of Fe@FeMnO. Besides, the catalytic kinetics was modelled and simulated, and the strong influence of the oxidation potential of the catalytic redox species on sensitivity was revealed.

Nanometal Oxides with Special Surface Physicochemical Properties to Promote Electrochemical Detection of Heavy Metal Ions.

Heavy metal ions (HMIs) are one of the major environmental pollution problems currently faced. To monitor and control HMIs, rapid and reliable detection is required. Electrochemical analysis is one of the promising methods for on-site detection and monitoring due to high sensitivity, short response time, etc.

Ultra-Sensitive and Selective Detection of Arsenic(III) via Electroanalysis over Cobalt Single-Atom Catalysts.

Achieving highly sensitive and selective detection of trace-level As(III) and clarifying the underlying mechanism is still a intractable problem. The electroanalysis of As(III) relies on the electrocatalytic ability of the sensing interface. Herein, we first adopt single-atom catalysts as the electrocatalyst in As(III) detection.

Identifying Phase-Dependent Electrochemical Stripping Performance of FeOOH Nanorod: Evidence from Kinetic Simulation and Analyte-Material Interactions.

Metal hydroxide nanomaterials are widely applied in the energy and environment fields. The electrochemical performance of such materials is strongly dependent on their crystal phases. However, as there are always multiple factors relating to the phase-dependent electrochemistry, it is still difficult to identify the determining one.

Changing the Blood Test: Accurate Determination of Mercury(II) in One Microliter of Blood Using Oriented ZnO Nanobelt Array Film Solution-Gated Transistor Chips.

The measurement of ultralow concentrations of heavy metal ions (HMIs) in blood is challenging. A new strategy for the determination of mercury ions (Hg ) based on an oriented ZnO nanobelt (ZnO-NB) film solution-gated field-effect transistor (FET) chip is adopted. The FET chips are fabricated with ZnO-NB film channels with different orientations utilizing the Langmuir-Blodgett (L-B) assembly technique.

Metal Replacement Causing Interference in Stripping Analysis of Multiple Heavy Metal Analytes: Kinetic Study on Cd(II) and Cu(II) Electroanalysis via Experiment and Simulation.

Although it has been recognized that the interference between heavy metal ions (HMIs) becomes a severe problem for the simultaneous electroanalysis of multiple HMIs, the factor leading to the interference is still difficult to identify, due to the limited understanding of the electroanalytic kinetics. In this work, a kinetic model is built for the electroanalysis of HMIs, and the electroanalytic results are simulated for Cd(II), Cu(II), and their mixture as examples for the interference investigation. The mutual interference between Cd and Cu is observed on the glassy carbon electrode.