Selective Determination of Silver Metal Ion Using Polyamine‐Based Ratiometric Chemosensor in an Aqueous Medium and Its Real‐Time Applicability as a Silver Sink

Abstract A derivative UV-spectrophotometric analytical procedure was developed for determination of three 4-quinolone antibacterials: norfloxacin (NFX), ciprofloxacin (CFX), and sparfloxacin (SFX). The method depends on the complexation of Cu(II) with the studied compounds in aqueous medium. A third order, measurement was applied for their quantification. A linear correlation was established between the amplitude of the peak and concentration for all the studied drugs in the range of 15–80, 35–120, and 200–700 ng/mL, with minimum detectability (S/N = 2) of 1.0, 1.3, and 5.1 ng/mL for NFX, CFX, and SFX, respectively. The method was successfully applied for accurate, sensitive, and selective determination of the studied drugs in bulk and tablets formulation with average percentage recoveries of 99.22 ± 0.55 to 100.33 ± 1.60. The results obtained were favorably compared with those of the reference method. The method was also used to determine sparfloxacin in spiked human plasma and urine. The results obtained were satisfactory, accurate, and precise.

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Metal Ion-Assisted Infrared Optical Sensor for Selective Determination of Tryptophan in Urine Samples

Journal of the Chinese Chemical Society ◽

10.1002/jccs.201190003 ◽

2011 ◽

Vol 58 (4) ◽

pp. 435-442 ◽

Cited By ~ 9

Author(s):

Genin Gary Huang ◽

Min-Liang Cheng ◽

Jyisy Yang

Keyword(s):

Optical Sensor ◽

Metal Ion ◽

Urine Samples ◽

Selective Determination

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Ion-selective determination of total metal ion concentration in an excess of complexing ligand using the standard additions method

The Analyst ◽

10.1039/an9851000359 ◽

1985 ◽

Vol 110 (4) ◽

pp. 359 ◽

Cited By ~ 4

Author(s):

Liliana Ilcheva ◽

Maria Polianova ◽

Jordan Dalukov ◽

Brian R Chapman

Keyword(s):

Metal Ion ◽

Ion Concentration ◽

Selective Determination ◽

Total Metal ◽

Standard Additions

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A highly fluorescent sensor based on hybrid nanoparticles for selective determination of furosemide in aqueous medium

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2016.01.026 ◽

2016 ◽

Vol 228 ◽

pp. 221-230 ◽

Cited By ~ 9

Author(s):

Anu Saini ◽

Navneet Kaur ◽

Narinder Singh

Keyword(s):

Aqueous Medium ◽

Fluorescent Sensor ◽

Hybrid Nanoparticles ◽

Selective Determination

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Schiff-Based Fluorescent-ON Sensor L Synthesis and Its Application for Selective Determination of Cerium in Aqueous Media

Journal of Sensors ◽

10.1155/2020/2192584 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Maria Sadia ◽

Jehangir Khan ◽

Robina Naz ◽

Muhammad Zahoor ◽

Ezzat Khan ◽

...

Keyword(s):

Metal Ion ◽

Limit Of Detection ◽

Fluorescent Sensor ◽

Aqueous Media ◽

High Sensitivity ◽

Transition Metal Ions ◽

Acetonitrile Solution ◽

Selective Determination ◽

Sensitivity And Selectivity

In the present study, a fluorescent sensor L for sensing of Ce3+ ion was designed and characterized by XRD, 1HNMR, and FTIR. Its fluorescence behavior towards metal ion was examined by fluorescence spectroscopy. Chelation-enhanced fluorescence was shown by the sensor L upon interaction with Ce3+ ion. This fluorescent sensor exhibits high sensitivity and selectivity towards Ce3+ ion in acetonitrile solution, forming 2 : 1 (L : M) complex as determined by Job’s plot. Association constant was found to be 1×107 M−1 estimated from the Benesi-Hildebrand plot. No significant interference was observed in the presence of other studied alkali, alkaline, and transition metal ions. A rapid response was observed when employed for the determination of Ce3+ ion in spiked water samples with a limit of detection equal to 3.4×10−8 M.

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Hg(II) Analysis Using Poly(cysteine)-rGO Electrode

Sensor Letters ◽

10.1166/sl.2020.4202 ◽

2020 ◽

Vol 18 (3) ◽

pp. 179-187

Author(s):

J. Jency Feminus ◽

P. N. Deepa

Keyword(s):

Modified Electrode ◽

Metal Ion ◽

Square Wave Voltammetry ◽

Electrochemical Behaviour ◽

Electrochemical Determination ◽

Mercury Determination ◽

Selective Determination ◽

Wave Voltammetry ◽

Reduced Graphene

In the present work, we have developed a sensitive platform for the selective determination of Hg(II) ions based on reduced graphene oxide (rGO) electrode modified with poly cysteine (Poly-Cys). The Poly-Cys/rGO modified electrode was characterised by SEM, ATR-IR and its electrochemical behaviour was investigated through cyclic voltammetry and square wave voltammetry. The synergistic effect of rGO and poly-cysteine favoured the complexation of Hg(II) ions onto the surface of the modified electrode. The ions were then anodically stripped and the corresponding voltammograms recorded. The process of complexation followed by stripping was repeated with increasing concentrations of the metal ion. The linear range for the electrochemical determination of Hg(II) using the modified electrode was found to be from 0.05 to 2.7 μM with a detection limit of 0.006 μM. In addition, the electrode also exhibited good stability with negligible sensitivity towards interfering metal ions. The analytical applicability of the modified electrode was investigated by carrying out mercury determination in water samples obtained from various sources.

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A Novel Electrochemical Sensor Based on Metal Ion Infiltrated Block Copolymer Thin Films for Sensitive and Selective Determination of Dopamine

ACS Applied Nano Materials ◽

10.1021/acsanm.9b01794 ◽

2019 ◽

Vol 2 (11) ◽

pp. 7311-7318 ◽

Cited By ~ 4

Author(s):

Salih Zeki Bas ◽

Cian Cummins ◽

Andrew Selkirk ◽

Dipu Borah ◽

Mustafa Ozmen ◽

...

Keyword(s):

Thin Films ◽

Block Copolymer ◽

Electrochemical Sensor ◽

Metal Ion ◽

Selective Determination

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Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV–Vis Spectrometry and SPSE-XGBoost Method

Sensors ◽

10.3390/s20174936 ◽

2020 ◽

Vol 20 (17) ◽

pp. 4936 ◽

Cited By ~ 1

Author(s):

Fei Cheng ◽

Chunhua Yang ◽

Can Zhou ◽

Lijuan Lan ◽

Hongqiu Zhu ◽

...

Keyword(s):

Metal Ions ◽

Real Time ◽

Metal Ion ◽

Sulfate Solution ◽

Gradient Boosting ◽

Feature Subset ◽

Full Spectrum ◽

Ion Concentrations ◽

Extreme Gradient Boosting

Excessive discharge of heavy metal ions will aggravate environment pollution and threaten human health. Thus, it is of significance to real-time detect metal ions and control discharge in the metallurgical wastewater. We developed an accurate and rapid approach based on the singular perturbation spectrum estimator and extreme gradient boosting (SPSE-XGBoost) algorithms to simultaneously determine multi-metal ion concentrations by UV–vis spectrometry. In the approach, the spectral data is expanded by multi-order derivative preprocessing, and then, the sensitive feature bands in each spectrum are extracted by feature importance (VI score) ranking. Subsequently, the SPSE-XGBoost model are trained to combine multi-derivative features and to predict ion concentrations. The experimental results indicate that the developed “Expand-Extract-Combine” strategy can not only overcome problems of background noise and spectral overlapping but also mine the deeper spectrum information by integrating important features. Moreover, the SPSE-XGBoost strategy utilizes the selected feature subset instead of the full-spectrum for calculation, which effectively improves the computing speed. The comparisons of different data processing methods are conducted. It outcomes that the proposed strategy outperforms other routine methods and can profoundly determine the concentrations of zinc, copper, cobalt, and nickel with the lowest RMSEP. Therefore, our developed approach can be implemented as a promising mean for real-time and on-line determination of multi-metal ion concentrations in zinc hydrometallurgy.

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