scholarly journals Functional GFP-metallothionein fusion protein from Tetrahymena thermophila: a potential whole-cell biosensor for monitoring heavy metal pollution and a cell model to study metallothionein overproduction effects

BioMetals ◽  
2014 ◽  
Vol 27 (1) ◽  
pp. 195-205 ◽  
Author(s):  
Francisco Amaro ◽  
Aaron P. Turkewitz ◽  
Ana Martín-González ◽  
Juan Carlos Gutiérrez
Chemosphere ◽  
2018 ◽  
Vol 200 ◽  
pp. 322-329 ◽  
Author(s):  
Zhisong Cui ◽  
Xiao Luan ◽  
Huichao Jiang ◽  
Qian Li ◽  
Guangfei Xu ◽  
...  

2005 ◽  
Vol 52 (2) ◽  
pp. 38S-43S ◽  
Author(s):  
SABRINA BARCHETTA ◽  
ANTONIETTA LA TERZA ◽  
FEDERICO BUONANNO ◽  
PATRIZIA BALLARINI ◽  
CRISTINA MICELI

Author(s):  
Yihyang Kim ◽  
Hyeunseok Choi ◽  
Weon Ho Shin ◽  
Jong-Min Oh ◽  
Sang-Mo Koo ◽  
...  

Heavy metals cause various fetal diseases in humans. Heavy metals from factory wastewater can contaminate drinking water, fish, and crops. Inductively coupled plasma-mass spectrometry (ICP-MS) and atomic absorption spectrometry (AAS) are commonly used to analyze heavy metal contents; however, these methods require pre-treatment processes and are expensive and complex. To overcome these limitations, three metal-sensing materials using a whole-cell biosensor in Escherichia coli (E. coli) were developed. Strains were engineered to harbor three kinds of plasmids containing the copA, zntA, and mer promoters for sensing copper, cadmium, and mercury, respectively. The luciferase (lux) gene was inserted as a reporter into the plasmid, which was later replaced with a fused protein sequence containing OmpA (1–159) and mCherry for optical detection. The constructed strains could detect mercury, cadmium, and copper at 0.1–0.75 ppm, 0.2–0.75 ppm, and 2–7.5 ppm, respectively, with linearity values of 0.99030, 0.99676, and 0.95933, respectively. The immobilization linearity value was 0.99765. Notably, these three heavy metals could be detected by visual analysis of the strains. Overall, these findings establish this novel sensor as a potential approach for heavy metal detection in biological samples and foods.


2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document