High-Throughput Mercury Monitoring in Indoor Dust Microsamples by Bath Ultrasonic Extraction and Anodic Stripping Voltammetry on Gold Nanoparticles-Modified Screen-Printed Electrodes

Rapid Determination of Low Heavy Metal Concentrations in Grassland Soils around Mining Using Vis-NIR Spectroscopy: A Case Study of Inner Mongolia, China

Proximal sensing offers a novel means for determination of the heavy metal concentration in soil, facilitating low cost and rapid analysis over large areas. In this respect, spectral data and model variables play an important role. Thus far, no attempts have been made to estimate soil heavy metal content using continuum-removal (CR), different preprocessing and statistical methods, and different modeling variables. Considering the adsorption and retention of heavy metals in spectrally active constituents in soil, this study proposes a method for determining low heavy metal concentrations in soil using spectral bands associated with soil organic matter (SOM) and visible–near-infrared (Vis–NIR). To rapidly determine the concentration of heavy metals using hyperspectral data, partial least squares regression (PLSR), principal component regression (PCR), and support vector machine regression (SVMR) statistical methods and 16 preprocessing combinations were developed and explored to determine an optimal combination. The results showed that the multiplicative scatter correction and standard normal variate preprocessing methods evaluated with the second derivative spectral transformation method could accurately determine soil Cr and Ni concentrations. The root-mean-square error (RMSE) values of Vis–NIR model combinations with PLSR, PCR, and SVMR were 0.34, 3.42, and 2.15 for Cr, and 0.07, 1.78, and 1.14 for Ni, respectively. Soil Cr and Ni showed strong spectral responses to the Vis–NIR spectral band. The R² value of the Vis–NIR-based PLSR model was higher than 0.99, and the RMSE value was 0.07–0.34, suggesting higher stability and accuracy. The results were more accurate for Ni than Cr, and PLSR showed the best performance, followed by SVMR and PCR. This perspective has critical implications for guiding quantitative biogeochemical analysis using proximal sensing data.

Optimization and validation test of a sonoreactor-assisted methodology for fast and miniaturized extraction of trace elements from soils

We have proven the overall applicability of the novel sonoreactor VialTweeter as a tool for a fast, miniaturized and economical extraction of trace elements, namely Cu, Zn, As, Cd, Pb, from soil samples, followed by ICP-MS. The proposed analytical approach applicable in the context of environmental monitoring of elemental soil pollutants, since the selected analytes are relevant pollutants whose presence in soils produces significant effects on their quality affecting animals, plants and humans. The optimum conditions for the extraction of trace metals assisted by the sonoreactor, selected by a Box-Behnken (BBD) experiment design along combined with a response surface methodology were 93% sonication amplitude, 450 s sonication time, 80% HNO₃ and a solvent/sample ratio of 0.18 mL/mg. The proposed sonoreactor-assisted extraction methodology provides several advantages of respect to the standard acid digestion taken as comparison term for validation, including a shorter pretreatment time and use of less sample and reagents amounts. However, mixed validation results against the standard acid digestion (taken as a model providing accurate results) were obtained depending on the analyte, with the best results in the case of cadmium that could be measured after US extraction without systematic error respect to the standard acid digestion. Copper and lead can be determined by the proposed US extraction plus ICP-MS only after applying a correction factor based on the slope of the correlation with the standard acid digestion. US treatment for As determination can be only useable by applying a constant correction factor based on the intercept of the correlation line, whereas Zn determination requires a correction based both in the slope and intercept of the correlation line.

Screen-Printed Electrodes Modified with "Green" Metals for Electrochemical Stripping Analysis of Toxic Elements

This work reviews the field of screen-printed electrodes (SPEs) modified with “green” metals for electrochemical stripping analysis of toxic elements. Electrochemical stripping analysis has been established as a useful trace analysis technique offering many advantages compared to competing optical techniques. Although mercury has been the preferred electrode material for stripping analysis, the toxicity of mercury and the associated legal requirements in its use and disposal have prompted research towards the development of “green” metals as alternative electrode materials. When combined with the screen-printing technology, such environment-friendly metals can lead to disposable sensors for trace metal analysis with excellent operational characteristics. This review focuses on SPEs modified with Au, Bi, Sb, and Sn for stripping analysis of toxic elements. Different modification approaches (electroplating, bulk modification, use of metal precursors, microengineering techniques) are considered and representative applications are described. A developing related field, namely biosensing based on stripping analysis of metallic nanoprobe labels, is also briefly mentioned.

Utilising copper screen-printed electrodes (CuSPE) for the electroanalytical sensing of sulfide

A mediatorless sulfide electrochemical sensing platform utilising a novel nanocopper-oxide screen-printed electrodes (CuSPE) is reported for the first time.

Recent Developments in the Speciation and Determination of Mercury Using Various Analytical Techniques

This paper reviews the speciation and determination of mercury by various analytical techniques such as atomic absorption spectrometry, voltammetry, inductively coupled plasma techniques, spectrophotometry, spectrofluorometry, high performance liquid chromatography, and gas chromatography. Approximately 126 research papers on the speciation and determination of mercury by various analytical techniques published in international journals since 2013 are reviewed.