Colorimetric Sensors for Alkaloids Based on the Etching of Au@MnO2 Nanoparticles and MnO2 Nanostars

Author(s):  
Yanan Li ◽  
Zhenni Qian ◽  
Chenyang Shen ◽  
Zeyu Gao ◽  
Keru Tang ◽  
...  
Author(s):  
Mohamed Hasaan Hussain ◽  
Lim Ping Fook ◽  
Maria Kana Sanira Putri ◽  
Huey Ling Tan ◽  
Noor Fitrah Abu Bakar ◽  
...  

Membranes ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 517
Author(s):  
Siyamthanda Hope Mnyipika ◽  
Tshimangadzo Saddam Munonde ◽  
Philiswa Nosizo Nomngongo

The rapid detection of trace metals is one of the most important aspect in achieving environmental monitoring and protection. Electrochemical sensors remain a key solution for rapid detection of heavy metals in environmental water matrices. This paper reports the fabrication of an electrochemical sensor obtained by the simultaneous electrodeposition of MnO2 nanoparticles and RGO nanosheets on the surface of a glassy carbon electrode. The successful electrodeposition was confirmed by the enhanced current response on the cyclic voltammograms. The XRD, HR-SEM/EDX, TEM, FTIR, and BET characterization confirmed the successful synthesis of MnO2 nanoparticles, RGO nanosheets, and MnO2@RGO nanocomposite. The electrochemical studies results revealed that MnO2@RGO@GCE nanocomposite considerably improved the current response on the detection of Zn(II), Cd(II) and Cu(II) ions in surface water. These remarkable improvements were due to the interaction between MnO2 nanomaterials and RGO nanosheets. Moreover, the modified sensor electrode portrayed high sensitivity, reproducibility, and stability on the simultaneous determination of Zn(II), Cd(II), and Cu(II) ions. The detection limits of (S/N = 3) ranged from 0.002–0.015 μg L−1 for the simultaneous detection of Zn(II), Cd(II), and Cu(II) ions. The results show that MnO2@RGO nanocomposite can be successfully used for the early detection of heavy metals with higher sensitivity in water sample analysis.


2005 ◽  
Vol 46 (32) ◽  
pp. 5343-5346 ◽  
Author(s):  
D. Amilan Jose ◽  
D. Krishna Kumar ◽  
Bishwajit Ganguly ◽  
Amitava Das
Keyword(s):  

2010 ◽  
Vol 124 (2-3) ◽  
pp. 1151-1154 ◽  
Author(s):  
Wenbin Ni ◽  
Dengchao Wang ◽  
Zhongjie Huang ◽  
Jianwei Zhao ◽  
Guoeng Cui

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Nutthatida Phuangsaijai ◽  
Jaroon Jakmunee ◽  
Sila Kittiwachana

AbstractThe potential use of colorimetric sensors has received significant attention due to its feasibility for use in various applications. After reacting with a sample, the image of the colorimetric sensor can be captured and converted into digital data using several different color models. The analytical data can then be processed with various chemometric methods. This research study investigated the predictive performance of calibration models established using color models commonly used in analytical chemistry including RGB, CMYK, HSV and CIELAB. A total of eight commercially available colorimetric sensors were used to determine the presence of manganese (Mn2+), copper (Cu2+), iron (Fe2+/Fe3+), nitrate (NO3–), phosphate (PO43–), sulfate (SO42–), as well as total hardness and pH values. As external validation tests, real water samples collected in Chiang Mai, Thailand were used. Based on the resulting data obtained using the synthetic test samples, the color that was most similar to the appearing color of the chemical sensor could offer satisfactory results. However, it was not always the case especially when the strips composed of multiple colorimetric sensors or sensor array were used. When tested with external validation, the predictive performance could be improved using appropriate data preprocessing and, in this research study, a normalization method was recommended to guarantee the accuracy of the calibration models.


Author(s):  
H Singh ◽  
Amy Bamrah ◽  
Sanjeev Kumar ◽  
A Deep ◽  
M Khatri ◽  
...  

Recent developments in nanotechnology and engineering have produced a plethora of nanomaterials with amazing physical/chemical properties and enhanced sensing potential for various heavy metals in the environment. Noble metal nanoparticles...


Author(s):  
Muhammad Tahir Waseem ◽  
Hafiz Muhammad Junaid ◽  
Hira Gul ◽  
Zulfiqar Ali Khan ◽  
Cong Yu ◽  
...  

2021 ◽  
pp. 130944
Author(s):  
Vigneshwaran Mohan ◽  
Gobinath Marappan ◽  
David Chidambaram ◽  
Kumaresan Rajendran ◽  
Velappa Jayaraman Surya ◽  
...  

Author(s):  
C. Sivakandhan ◽  
P. V. Elumalai ◽  
M. Murugan ◽  
A. Saravanan ◽  
P. S. Ranjit ◽  
...  

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