Enhanced Antibacterial Effect of Kanamycin‐Stabilized Nanoclusters DOI

Kimia Rezapour,

Maryam Mousavizadegan,

Seyed Mohammad Reza Mortazavi

et al.

ChemistrySelect, Journal Year: 2024, Volume and Issue: 9(48)

Published: Dec. 1, 2024

Abstract Pertaining to the imminent problem of antibiotics resistance, and in turn urgent need for new antibiotics, it is vital generate compounds that are effective against resistant species. For this, we have aimed develop enhanced antibacterial by merging with nanomaterials strengthen their activity. Hence, kanamycin‐stabilized gold, silver, copper nanoclusters (NCs) were synthesized investigated It was seen gold silver NCs had increased activity, especially Escherichia coli , an average decrease MIC 4:1 2:1 NCs. The activity Staphylococcus aureus Salmonella typhimurium also increased, more significantly However, NCs, not witnessed. Thus, can be concluded incorporating nanoclusters, antibiotic ligands enhance antimicrobial

Language: Английский

Machine learning-assisted image-based optical devices for health monitoring and food safety DOI

Maryam Mousavizadegan,

Farzaneh Shalileh,

Saba Mostajabodavati

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 177, P. 117794 - 117794

Published: June 5, 2024

Language: Английский

Citations

11
Machine Learning assisted Paper-Based Fluorescent Sensor Array with Metal-Doped Multicolor Carbon Quantum Dots for Identification and Inactivation of Bacteria DOI
Liang Zhu,

Lianghui Mei,

Yan Xuan

et al.

Talanta, Journal Year: 2025, Volume and Issue: unknown, P. 128035 - 128035

Published: March 1, 2025

Language: Английский

Citations

1
Species- and subspecies-level differentiation of cancer cells based on viscosity sensitive fluorescence sensor array and machine learning DOI

Shouning Yang,

Hongyan Jia,

Yide Liu

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113682 - 113682

Published: April 1, 2025

Language: Английский

Citations

0
A novel strategy for ultrasensitive detection and effective inactivation of Staphylococcus aureus based on Fe3O4-QCS-PEI-Cu-aptamer and ladder-branch HCR DOI
Dongxia Ren, Lin Wang, Hua Wei

et al.

Microchimica Acta, Journal Year: 2025, Volume and Issue: 192(6)

Published: May 7, 2025

Language: Английский

Citations

0
Gold nanorod etching for sensitive aptamer-mediated colorimetric detection of Escherichia coli in water DOI

Fahime Namjoo,

Farzaneh Shalileh,

Mohammad Golbashy

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 208, P. 112368 - 112368

Published: Dec. 10, 2024

Language: Английский

Citations

0
Machine Learning-Assisted Liquid Crystal Optical Sensor Array Using Cysteine-Functionalized Silver Nanotriangles for Pathogen Detection in Food and Water DOI

Maryam Mousavizadegan,

Morteza Hosseini, Mohammad Mohammadimasoudi

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(51), P. 70419 - 70428

Published: Dec. 12, 2024

The challenge of rapid identification bacteria in food and water still persists as a major health problem. To tackle this matter, we have developed single-probe liquid crystal (LC)-based optical sensing platform for the differentiation five common bacterial strains, including Bacillus cereus, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, S. typhimurium, using cysteine-functionalized silver nanotriangles signal enhancers. Unique patterns were generated from interaction samples with LC interface captured by camera under polarized light. Pattern recognition was carried out based on image analysis machine learning (ML) calculations. Among various ML algorithms trained, Support Vector Machines had best performance able to successfully discern 98.89% accuracy. A linear range 10–106 CFU mL–1 detection limits 10 attained all strains. proposed method tested water, juice, milk samples, prediction accuracies 95.83, 97.92, 89.58%, respectively, obtained. offers simple, cost-efficient solution recognition.

Language: Английский

Citations

0
Enhanced Antibacterial Effect of Kanamycin‐Stabilized Nanoclusters DOI

Kimia Rezapour,

Maryam Mousavizadegan,

Seyed Mohammad Reza Mortazavi

et al.

ChemistrySelect, Journal Year: 2024, Volume and Issue: 9(48)

Published: Dec. 1, 2024

Abstract Pertaining to the imminent problem of antibiotics resistance, and in turn urgent need for new antibiotics, it is vital generate compounds that are effective against resistant species. For this, we have aimed develop enhanced antibacterial by merging with nanomaterials strengthen their activity. Hence, kanamycin‐stabilized gold, silver, copper nanoclusters (NCs) were synthesized investigated It was seen gold silver NCs had increased activity, especially Escherichia coli , an average decrease MIC 4:1 2:1 NCs. The activity Staphylococcus aureus Salmonella typhimurium also increased, more significantly However, NCs, not witnessed. Thus, can be concluded incorporating nanoclusters, antibiotic ligands enhance antimicrobial

Language: Английский

Citations

0