scholarly journals Bi-Enzymatic Conductometric Biosensor for Detection of Heavy Metal Ions and Pesticides in Water Samples Based on Enzymatic Inhibition in <i>Arthrospira platensis</i>

2014 ◽  
Vol 05 (05) ◽  
pp. 441-453 ◽  
Author(s):  
Nadèje Tekaya ◽  
Olga Saiapina ◽  
Hatem Ben Ouada ◽  
Florence Lagarde ◽  
Philippe Namour ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Ions ◽  
Water Samples ◽  
Heavy Metal Ions ◽  
Arthrospira Platensis ◽  
Enzymatic Inhibition ◽  
Pesticides In Water ◽  
Conductometric Biosensor

scholarly journals Acoustic, electrochemical and microscopic characterization of interaction of Arthrospira platensis biofilm and heavy metal ions

2013 ◽  
Vol 1 (3) ◽  
pp. 609-619 ◽  
Author(s):  
Nadèje Tekaya ◽  
Ibtissèm Gammoudi ◽  
Mohamed Braiek ◽  
Hakim Tarbague ◽  
Fabien Moroté ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Ions ◽  
Heavy Metal Ions ◽  
Arthrospira Platensis

scholarly journals Metal Nanostructures for Environmental Pollutant Detection Based on Fluorescence

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 276
Author(s):  
Luca Burratti ◽  
Erica Ciotta ◽  
Fabio De Matteis ◽  
Paolo Prosposito
Keyword(s):  
Heavy Metal ◽  
Metal Ions ◽  
Optical Sensors ◽  
Heavy Metal Ions ◽  
Analytical Techniques ◽  
Environmental Pollutant ◽  
Metal Nanostructures ◽  
Pesticides In Water ◽  
Metal Nanomaterials

Heavy metal ions and pesticides are extremely dangerous for human health and environment and an accurate detection is an essential step to monitor their levels in water. The standard and most used methods for detecting these pollutants are sophisticated and expensive analytical techniques. However, recent technological advancements have allowed the development of alternative techniques based on optical properties of noble metal nanomaterials, which provide many advantages such as ultrasensitive detection, fast turnover, simple protocols, in situ sampling, on-site capability and reduced cost. This paper provides a review of the most common photo-physical effects impact on the fluorescence of metal nanomaterials and how these processes can be exploited for the detection of pollutant species. The final aim is to provide readers with an updated guide on fluorescent metallic nano-systems used as optical sensors of heavy metal ions and pesticides in water.

Alkaline phosphatase conductometric biosensor for heavy-metal ions determination

IRBM ◽  
2008 ◽  
Vol 29 (2-3) ◽  
pp. 136-140 ◽  
Author(s):  
A.L. Berezhetskyy ◽  
O.F. Sosovska ◽  
C. Durrieu ◽  
J.-M. Chovelon ◽  
S.V. Dzyadevych ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Alkaline Phosphatase ◽  
Metal Ions ◽  
Heavy Metal Ions ◽  
Conductometric Biosensor

Novel conductometric biosensor based on three-enzyme system for selective determination of heavy metal ions

2012 ◽  
Vol 83 ◽  
pp. 25-30 ◽  
Author(s):  
O.O. Soldatkin ◽  
I.S. Kucherenko ◽  
V.M. Pyeshkova ◽  
A.L. Kukla ◽  
N. Jaffrezic-Renault ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Ions ◽  
Heavy Metal Ions ◽  
Enzyme System ◽  
Selective Determination ◽  
Conductometric Biosensor

scholarly journals Magnetic solid-phase extraction based on multi-walled carbon nanotubes combined ferroferric oxide nanoparticles for the determination of five heavy metal ions in water samples by inductively coupled plasma mass spectrometry

2021 ◽  
Author(s):  
Ning Zhao ◽  
Yuwei Bian ◽  
Xinyi Dong ◽  
Xun Gao ◽  
Longshan Zhao
Keyword(s):  
Heavy Metal ◽  
Metal Ions ◽  
Water Samples ◽  
Inductively Coupled Plasma ◽  
Heavy Metal Ions ◽  
Solid Phase ◽  
Magnetic Solid Phase Extraction ◽  
Inductively Coupled ◽  
Multi Walled Carbon Nanotubes ◽  
Walled Carbon Nanotubes

Abstract An excellent magnetic multi-walled carbon nanotubes (MMWCNT) containing carboxyl material modified with ferroferric oxide (Fe3O4) nanoparticles was synthesized as the adsorbent for magnetic solid-phase extraction (MSPE) of five heavy metal ions (Pb2+, Cu2+, Co2+, Cd2+, Cr4+) in water samples followed by on-line inductively coupled plasma mass spectrometry (ICP-MS) detection. The characteristics of the adsorbent were analyzed using Fourier transform infrared spectroscopy (FT-IR), Scanning electron microscope (SEM), and Vibrating sample magnetometer (VSM). Some factors affecting extraction efficiency including pH of sample solution, the amount of adsorbent, extraction method and time, concentration and volume of desorption solvent, desorption time and evaluation of coexisting ions were optimized. Under the optimum conditions, good linearity (r ≥ 0.9951) was obtained within the range of0.1–50.0 ng·mL−1. The limits of detection (LODs) and limits of quantification (LOQs) were 4.0–25.0 ng·L−1 and 15.0–80.0 ng·L−1, respectively. And satisfactory recoveries of five heavy metal ions ranged from 81.11% to 105.53% were acquired, and the relative standard deviations (RSDs) were no more than 6.05%. The MMWCNT synthesized had strong adsorption force for the five investigated heavy metal ions, respectively. Hence, the proposed method was so suitable and sensitive that it can be applied to the determination of trace analysis of heavy metals in water samples.

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