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Journal ArticleDOI

Miniaturized electrochemical sensor with micropillar array working electrode for trace lead online measurement in tap water

TL;DR: In this paper, a compact, durable, low-reagent-usage, portable miniaturized electrochemical sensor is successfully developed for the high sensitivity detection of trace lead in tap and lake samples.
Abstract: A compact, durable, low-reagent-usage, portable miniaturized electrochemical sensor is successfully developed for the high sensitivity detection of trace lead. We fabricated micropillars array working electrodes on the chip and established ultra-low concentration sodium acetate-acetate (NaAC-HAC) buffers (pH≈4.5) system to enhance the detection sensitivity of the sensor. The ultra-low concentration buffer possesses unique features of low baseline current and high peak current difference height. The analytical performance of the fabricated electrochemical sensor with three-dimensional gold (Au) working electrodes modified by Bismuth-film was comprehensively studied. The microsensor exhibited a high sensitivity of 0.0412μAppb−1 and a satisfactory detection limit of 0.15ppb when detecting lead ions under optimized conditions. Moreover, good linearity (correlation coefficient: 0.9993) with lead ions measurement in the concentration range of 1 to 120ppb and excellent repeatability (RSD: 1.79%) was obtained. the chip has satisfactory selectivity for common Interference ion. Besides, a low consumption of 350 μL of reagents per test was acquired. Finally, the proposed microsensor was applied to detect trace metal ions in tap and lake samples with satisfactory results.
Citations
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Journal ArticleDOI
TL;DR: In this article, a comprehensive review of portable electrochemical (bio) sensing methods for point-of-care and on-site detection of pesticides residues in fruits and vegetables is presented.

135 citations

Journal ArticleDOI
TL;DR: In this article , a comprehensive review of portable electrochemical (bio) sensing methods for point-of-care and on-site detection of pesticides residues in fruits and vegetables is presented.

135 citations

Journal ArticleDOI
TL;DR: In this paper, the latest improvements in portable biosensors and sensors in the monitoring of biological and chemical pollutants in different samples of water are extensively explained and the upcoming perspectives and future challenges are thoroughly described.
Abstract: The quality analysis of water, pharmaceutical and environmental compounds is a basic subject for human health. The presence of low-quality drugs, biological toxins and chemical compounds in water or forbidden additives in the nourishments lead to irreversible problems in human health. Hence, multiple analytical approaches have been presented for investigating the quality of environmental, pharmaceutical, and food compounds and monitoring the detection of toxic compounds and pollutants in water. Sensing tools based on analytical strategies are required for identifying and quantifying the different pollutants including biological and chemical contaminants in water samples. Among different biosensing and sensing tools, portable sensing assays are of special importance because of their great advantages such as simplicity, affordability, portability and ability to on-site detection. Therefore, during the last decades, designing and fabricating portable assays with great sensitivity and selectivity have been considered by many researchers and scientists for detection of various water pollutants. In this paper, the latest improvements in portable biosensors and sensors in the monitoring of biological and chemical pollutants in different samples of water are extensively explained. Initially, different portable sensing assays and novel technologies in their development are addressed. Then, by introducing various biological (bacteria, algae, toxins) and chemical pollutants (heavy metals, aromatic compounds, pesticides and insecticides), different portable sensors which have been developed for the detection of the pollutants are presented. Finally, upcoming perspectives and future challenges are thoroughly described.

60 citations

Journal ArticleDOI
TL;DR: Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun, Jilin 130024, China Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Kunming, Yunnan 650500.
Abstract: Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun, Jilin 130024, China Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan 650500, China State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China Northwest Land and Resources Research Center, Shaanxi Normal Northwest University, China State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun, Jilin 130024, China Ecology and Environment Department of Jilin Province, Changchun, Jilin 130024, China Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region, Heilongjiang University, Harbin 150080, China School of Life Science and Geology, Yili Normal University, Yili, Xinjiang 835000, China

26 citations

Journal ArticleDOI
TL;DR: In this article, the fabrication, simulation, surface modification, and characterization of PDMS-based micropillar array electrodes (μAEs) coated with gold films is described.
Abstract: Micropillar array electrodes (μAEs) have been widely applied in electrochemical detection owing to their advantages of increased mass transport, lower detection limit, and potential to be miniaturized. This paper reports the fabrication, simulation, surface modification, and characterization of PDMS-based μAEs coated with gold films. The μAEs consist of 9 × 10 micropillars with a height of either 100 μm, 300 μm, or 500 μm in a 0.09 cm2 region. Numerical simulation was employed to study the influence of geometrical parameters on the current density. The μAEs were fabricated by soft lithography and characterized using both SEM and cyclic voltammetry. Experiments revealed that high pillars enabled enhanced voltammetric current density regardless of the scan rates. The platinum–palladium/multi-walled carbon nanotubes (Pt–Pd/MWCNTs) were coated on the μAEs to improve their electrochemical detection capability. The μAEs demonstrated 1.5 times larger sensitivity compared with the planar electrode when hydrogen peroxide was detected. Furthermore, μAE500 with Pt–Pd/MWCNTs was employed to detect sarcosine, a potential biomarker for prostate cancer. The linear range and limit of detection for sarcosine were from 5 to 60 μM and 1.28 μM, respectively. This detection range covers the concentration of sarcosine in human tissues (0–60 μM). These results suggest that the μAEs have better detection performance in comparison to planar electrodes due to their large surface area and pillar height. This paper provides essential guidelines for the application of μAEs in high sensitivity electrochemical detection of low abundance analytes.

13 citations

References
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Journal ArticleDOI
TL;DR: The study suggests that wastewater irrigation led to accumulation of heavy metals in food stuff causing potential health risks to consumers, and heavy metal contamination in the wastewater irrigated site presented a significant threat of negative impact on human health.

728 citations

Journal ArticleDOI
TL;DR: The results indicate that it is feasible to predict heavy metals in soils contaminated by mining residuals using the rapid and cost-effective reflectance spectroscopy.
Abstract: The possibility to adapt chemometrics approaches for the quantitative estimation of heavy metals in soils polluted by a mining accident was explored. In April 1998, the dam of a mine tailings pond in Aznalcollar (Spain) collapsed and flooded an area of more than 4000 ha with pyritic sludge contaminated with high concentrations of heavy metals. Six months after the end of the first remediation campaign, soil samples were collected for chemical analysis and measurement of visible to near-infrared reflectance (0.35-2.4 microm). Concentrations for As, Cd, Cu, Fe, Hg, Pb, S, Sb, and Zn were well above background values. Prediction of heavy metals was achieved by stepwise multiple linear regression analysis (MLR) and an artificial neural network (ANN) approach. It was possible to predict six out of nine elements with high accuracy. Best R2 between predicted and chemically analyzed concentrations were As, 0.84; Fe, 0.72; Hg, 0.96; Pb, 0.95; S, 0.87; and Sb, 0.93. Results for Cd (0.51), Cu (0.43), and Zn (0.24) were not significant. MLR and ANN both achieved similar results. Correlation analysis revealed that most wavelengths important for prediction could be attributed to absorptions features of iron and iron oxides. These results indicate that it is feasible to predict heavy metals in soils contaminated by mining residuals using the rapid and cost-effective reflectance spectroscopy.

405 citations

Journal ArticleDOI
TL;DR: Recent developments in the functional anatomy and physiology of the fish olfactory system reveal three parallel pathways from the sensory epithelium, via the Olfactory bulb to the telencephalon, tuned to social cues, sex pheromones, and the third to food odours.

221 citations

Journal ArticleDOI
TL;DR: On-site analysis of groundwater containing arsenic was performed with a small battery-powered potentiostat and quantification was done through standard additions, and these results were compared to the standard EPA methodology.
Abstract: Rapid on-site analysis of arsenic in groundwater was achieved with a small battery-powered unit in conjunction with a microfabricated gold ultramicroelectrode array (Au-UMEA). The sensor, consisting of 564 UME disks with a unique gold surface created by electron beam evaporation, was demonstrated to be highly sensitive to low-ppb As3+ using square wave anodic stripping voltammetry. The influence of the square wave frequency, pulse amplitude, and deposition potential on the arsenic peak stripping current was investigated. Varying those theoretical parameters yielded results surprisingly similar to those for the thin Hg film case. The performance of the Au-UMEA was evaluated for reproducibility and reliability. Three stability tests showed an average relative standard deviation of 2.5% for 15 consecutive runs. Limits of detection were investigated, and 0.05 ppb As3+ could be measured while maintaining a S/N of 3:1. Interference studies were performed in the presence of 50-500 ppb of Cu2+, Hg2+, and Pb2+. On-site analysis of groundwater containing arsenic was performed with a small battery-powered potentiostat. Quantification was done through standard additions, and these results were compared to the standard EPA methodology.

211 citations