Optical biosensors for bacteria detection by a peptidomimetic antimicrobial compound

The Analyst ◽  
2015 ◽  
Vol 140 (22) ◽  
pp. 7726-7733 ◽  
Author(s):  
Elena Tenenbaum ◽  
Ester Segal

A sensitive and label-free biosensor for E. coli detection, based on a peptidomimetic antimicrobial compound, which is tethered to a nanostructured porous Si optical transducer is presented.

The Analyst ◽  
2015 ◽  
Vol 140 (13) ◽  
pp. 4507-4514 ◽  
Author(s):  
Giorgi Shtenberg ◽  
Naama Massad-Ivanir ◽  
Ester Segal

Specific and sensitive detection and quantification of heavy metals in real water using label-free optical biosensors.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Huiyi Song ◽  
Ni Lou ◽  
Jianjun Liu ◽  
Hong Xiang ◽  
Dong Shang

Abstract Background Escherichia coli (E. coli) is the principal pathogen that causes biofilm formation. Biofilms are associated with infectious diseases and antibiotic resistance. This study employed proteomic analysis to identify differentially expressed proteins after coculture of E. coli with Lactobacillus rhamnosus GG (LGG) microcapsules. Methods To explore the relevant protein abundance changes after E. coli and LGG coculture, label-free quantitative proteomic analysis and qRT-PCR were applied to E. coli and LGG microcapsule groups before and after coculture, respectively. Results The proteomic analysis characterised a total of 1655 proteins in E. coli K12MG1655 and 1431 proteins in the LGG. After coculture treatment, there were 262 differentially expressed proteins in E. coli and 291 in LGG. Gene ontology analysis showed that the differentially expressed proteins were mainly related to cellular metabolism, the stress response, transcription and the cell membrane. A protein interaction network and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis indicated that the differentiated proteins were mainly involved in the protein ubiquitination pathway and mitochondrial dysfunction. Conclusions These findings indicated that LGG microcapsules may inhibit E. coli biofilm formation by disrupting metabolic processes, particularly in relation to energy metabolism and stimulus responses, both of which are critical for the growth of LGG. Together, these findings increase our understanding of the interactions between bacteria under coculture conditions.


2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Lin Teng ◽  
Xian Wang ◽  
Xiaojun Wang ◽  
Honglei Gou ◽  
Lihui Ren ◽  
...  
Keyword(s):  

Food Control ◽  
2022 ◽  
pp. 108822
Author(s):  
Azam Bagheri Pebdeni ◽  
Amirreza Roshani ◽  
Ensiyeh Mirsadoughi ◽  
Shakila Behzadifar ◽  
Morteza Hosseini

2014 ◽  
Vol 96 ◽  
pp. 45-53 ◽  
Author(s):  
Sirinrath Sirivisoot ◽  
Yardnapar Parcharoen ◽  
Thomas J. Webster

Graphene oxide was electrodeposited on titanium (Ti-GO) and anodized titanium (ATi-GO) as label-free sensors for the detection of challenging living organisms, specificallyEscherichia coli(E. coli) andStaphylococcus aureus(S. aureus). The graphene modification contributed to two sets of oxidation-reduction peaks in cyclic voltammograms (CVs) of bacteria growth on the electrode surfaces (ATi-GO) that resulted in increasing direct electron transfer and stimulating excretion of mediating molecules for higher electron transfer between electrodes and bacteria. Additionally, similar wave patterns of CVs were found whenE. coliorS. aureuswere grown and electrocatalyzed on ATi-GO. The results suggest that bacteria on titanium implant surfaces could be easily detected by using mediatorless ATi-GO sensors electrochemically. These finding open another interesting method in using ATi-GO asin situelectrochemical sensors for label-free, close to real-time detection of bacteria infection in orthopedic implants.


2011 ◽  
Vol 64 (9) ◽  
pp. 1256 ◽  
Author(s):  
Miroslava Polreichova ◽  
Usman Latif ◽  
Franz L. Dickert

Mass sensitive sensors were applied for fast and label-free detection of bio-analytes. Robust and miniaturized sensor devices were fabricated by combining bio-mimetic imprinted surfaces with quartz crystal microbalances for the analysis of yeast and bacteria cells. These sensors allow us to differentiate between different growing stages of yeast cells. Moreover, the viability of cells was detected by structuring quartz crystal microbalance electrodes like a grid. Artificial yeast cells were produced to pattern the recognition layer, giving reversible enrichment of the respective bio-analytes. This approach was followed to ensure the reproducibility of the identical sensitive material in each case, because the properties of each cell depend on its growth stage, which varies over time. The strategy was further applied to develop a sensitive system for Escherichia coli. Structuring of these materials by soft lithography allows differentiation between cell strains, e.g. E. coli (strain W & B) with a five-fold selectivity.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Monika Janik ◽  
Marcin Koba ◽  
Anna Celebańska ◽  
Wojtek J. Bock ◽  
Mateusz Śmietana

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