Bacteria functionalized gold nanoparticle matrix based fiber-optic sensor for monitoring heavy metal pollution in water

2019 ◽  
Vol 281 ◽  
pp. 643-651 ◽  
Author(s):  
Pallavi Halkare ◽  
Nirmal Punjabi ◽  
Jigme Wangchuk ◽  
Aswathy Nair ◽  
Kiran Kondabagil ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Gold Nanoparticle ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Optic Sensor

scholarly journals Fiber optic sensor based on fluorescence quenching for heavy metal detection

2020 ◽  
Author(s):  
Yadira A. Fuentes-Rubio ◽  
Rene F. Dominguez-Cruz ◽  
Oscar Baldovino-Pantaleon ◽  
Carlos Ruiz-Zamarreno ◽  
Francisco J. Arregui
Keyword(s):  
Heavy Metal ◽  
Fluorescence Quenching ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Heavy Metal Detection ◽  
Optic Sensor ◽  
Metal Detection

scholarly journals Chitosan-hydrogel-based fiber optic sensor for heavy metal ion detection

2015 ◽  
Author(s):  
Raghunandhan Ravikumar ◽  
Li Han Chen ◽  
Chi Chiu Chan ◽  
Ping Lam So ◽  
Zhi Qiang Tou ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Ion ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Heavy Metal Ion ◽  
Ion Detection ◽  
Chitosan Hydrogel ◽  
Optic Sensor ◽  
Metal Ion Detection

Detecting weak fluorescence turn-on in the presence of Pb2+heavy metal ion using coaxial fiber optic sensor

2013 ◽  
Author(s):  
Jianjun Ma ◽  
Yasser Chiniforooshan ◽  
Wenhui Hao ◽  
Wojtek J. Bock ◽  
Zhi Yuan Wang
Keyword(s):  
Heavy Metal ◽  
Metal Ion ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Heavy Metal Ion ◽  
Turn On ◽  
Optic Sensor ◽  
Fluorescence Turn On

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

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