Toxic Effects of Metal Oxide Nanoparticles Based on the Enzymatic Activity and Biosynthesis of β-Galactosidase Using a Mutant Strain of E. coli

2020 ◽  
Vol 20 (3) ◽  
pp. 1440-1446
Author(s):  
In Chul Kong ◽  
Xin Yang ◽  
Wonil Wi ◽  
Minji Kim ◽  
Kyung-Seok Ko

The effects of six metal oxide nanoparticles (MO-NPs) on the activity and biosynthesis of an enzyme (β-galactosidase) were examined using a mutant strain of E. coli. Different sensitivities were observed according to the type of NP and metabolic process. The toxic effects on enzyme activity were significantly greater than on biosynthesis (p < 0.011), except in the presence of NiO. In both cases, ZnO NP caused the greatest inhibition among the tested NPs, followed by CuO. The EC50s for ZnO were 0.19 and 3.68 mg/L for enzyme activity and biosynthesis, respectively. Similar orders of toxicity were observed as follows: ZnO > CuO > NiO > Co3O4 > TiO2, Al2O3 for enzyme activity; and ZnO > CuO > NiO ≫ Al2O3, TiO2, Co3O4 for the biosynthetic process. More systematic research, including in-depth studies like investigation of the molecular mechanisms, is necessary to elucidate the detailed mechanisms of inhibition involved in both metabolic processes.

2017 ◽  
Vol 60 (2) ◽  
pp. 93-108 ◽  
Author(s):  
Yanli Wang ◽  
Lin Ding ◽  
Chenjie Yao ◽  
Chenchen Li ◽  
Xiaojun Xing ◽  
...  

2020 ◽  
Author(s):  
Alba García-Rodríguez ◽  
Fabiola Moreno-Olivas ◽  
Ricard Marcos ◽  
Elad Tako ◽  
Cláudia N. H. Marques ◽  
...  

Abstract The authors have removed this preprint from Research Square


Author(s):  
Mahbooubeh Mirhosseini ◽  
Roghayeh Dehestani

Background: The spread of pathogenic microorganisms in food and beverage and their resistance to antibiotics have raised major concerns for public health. The aim of this study was to investigate the antimicrobial activity of various metal oxide nanoparticles (NPs) including zinc oxide (ZnO), magnesium oxide (MgO), and iron oxide (Fe2O3) NPs against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli). Furthermore, the antimicrobial activity of these NPs in milk was studied along with mild heat. Methods: In this experimental study, the antibacterial activity of ZnO, MgO, and Fe2O3 NPs were initially evaluated by minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) methods. Later, the antimicrobial effect of these NPs was investigated in milk along with mild heating. To determine the morphological changes in S. aureus and E. coli, electron microscopy scanning was applied before and after the antimicrobial treatments. Results: The MBC and MIC values presented by Fe2O3, ZnO, and MgO NPs against pathogenic bacteria showed that MgO NPs were the most potent substances for inhibiting the growth of S. aureus and E. coli. The results also indicated that use of these NPs had synergistic effects in combination with the heating treatment. Electron microscopy scanning also revealed that treatment with MgO NPs could distort and impair the cell wall of the pathogenic bacteria, leading to the leakage of intracellular components and bacterial death. Conclusion: The results suggest that MgO, ZnO, and Fe2O3 NPs can be applied for industrial food processing as effective antimicrobial compounds to decrease the temperature required for pasteurizing milk.


Author(s):  
Victor E Kuz'min ◽  
Liudmila N Ognichenko ◽  
Natalia Sizochenko ◽  
Valery A. Chapkin ◽  
Sergii I. Stelmakh ◽  
...  

A poor applicability of classic 2D descriptors for representation of metal oxide nanoparticles is briefly discussed. The combination of 1D descriptors with previously calculated size-dependent descriptors is utilized to represent the structural features of nanoparticles in QSAR modeling. For this purpose, descriptors based on the fundamental characteristics of atoms (nuclear charge, oxidation level, electronegativity, ionic radius, ionic refraction etc.) were combined with those derived from structural formula (doublets –A2, AB, …; triplets – A3, A2B, ABC, … etc.) and “liquid drop model” derived size-dependent parameters. Nano-QSAR models are developed for cytotoxicity of metal oxide nanoparticles against E. coli and HaCaT cells. Two developed nano-QSAR models are discussed in terms of cluster analysis.


2019 ◽  
Vol 20 (11) ◽  
pp. 2808 ◽  
Author(s):  
Nereyda Niño-Martínez ◽  
Marco Felipe Salas Orozco ◽  
Gabriel-Alejandro Martínez-Castañón ◽  
Fernando Torres Méndez ◽  
Facundo Ruiz

The increase in bacterial resistance to one or several antibiotics has become a global health problem. Recently, nanomaterials have become a tool against multidrug-resistant bacteria. The metal and metal oxide nanoparticles are one of the most studied nanomaterials against multidrug-resistant bacteria. Several in vitro studies report that metal nanoparticles have antimicrobial properties against a broad spectrum of bacterial species. However, until recently, the bacterial resistance mechanisms to the bactericidal action of the nanoparticles had not been investigated. Some of the recently reported resistance mechanisms include electrostatic repulsion, ion efflux pumps, expression of extracellular matrices, and the adaptation of biofilms and mutations. The objective of this review is to summarize the recent findings regarding the mechanisms used by bacteria to counteract the antimicrobial effects of nanoparticles.


Author(s):  
Victor E Kuz'min ◽  
Liudmila N Ognichenko ◽  
Natalia Sizochenko ◽  
Valery A. Chapkin ◽  
Sergii I. Stelmakh ◽  
...  

A poor applicability of classic 2D descriptors for representation of metal oxide nanoparticles is briefly discussed. The combination of 1D descriptors with previously calculated size-dependent descriptors is utilized to represent the structural features of nanoparticles in QSAR modeling. For this purpose, descriptors based on the fundamental characteristics of atoms (nuclear charge, oxidation level, electronegativity, ionic radius, ionic refraction etc.) were combined with those derived from structural formula (doublets –A2, AB, …; triplets – A3, A2B, ABC, … etc.) and “liquid drop model” derived size-dependent parameters. Nano-QSAR models are developed for cytotoxicity of metal oxide nanoparticles against E. coli and HaCaT cells. Two developed nano-QSAR models are discussed in terms of cluster analysis.


Antibiotics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 742
Author(s):  
Georgy D. Otinov ◽  
Alina V. Lokteva ◽  
Anastasia D. Petrova ◽  
Irina V. Zinchenko ◽  
Maria V. Isaeva ◽  
...  

Rapid development of antibiotic resistance in bacteria is a critical public health problem in the world. One of the main routes of resistance development is the transfer of genes containing antibiotic resistance cassettes. Gene transfer can be done through horizontal transfer of genes: transduction, conjugation, and transformation. Many factors in the environment influence these processes, and one of them is the action of metal oxide nanoparticles (MONPs), which can appear in the milieu through both biological synthesis and the release of engineered nanomaterial. In this study, the effect of AlOOH, CuO, Fe3O4, TiO2, and ZnO MONPs on the transformation (heat shock transformation) of bacteria Escherichia coli K12, and the conjugation between E. coli cc118 and E. coli Nova Blue were studied. The MONPs were synthesized by one method and fully characterized. ZnO nanoparticles (NPs) have significantly increased the efficiency of transformation (more than 9-fold), while the other NPs have reduced it to 31 times (TiO2 NPs). AlOOH NPs increased the number of transconjugants more than 1.5-fold, while CuO and Fe3O4 NPs did not have a significant effect on transformation and conjugation. Thus, the data shows that different types of MONPs can enhance or inhibit different gene transfer mechanisms, affecting the spread of antibiotic resistance genes.


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