Antimicrobial Activity of Polycaprolactone Nanofiber Coated with Lavender and Neem Oil Nanoemulsions against Airborne Bacteria.
Md Mahfuzur RahmanHari KotturiSadegh NikfarjamKanika BhargavaNagib AhsanMorshed KhandakerPublished in: Membranes (2024)
The development of efficient, eco-friendly antimicrobial agents for air purification and disinfection addresses public health issues connected to preventing airborne pathogens. Herein, the antimicrobial activity of a nanoemulsion (control, 5%, 10%, and 15%) containing neem and lavender oils with polycaprolactone (PCL) was investigated against airborne bacteria, including Escherichia coli , Bacillus subtilis , and Staphylococcus aureus . Various parameters such as the physicochemical properties of the nanoemulsion, pH, droplet size, the polydispersity index (PDI), the minimum inhibitory concentration (MIC), the minimum bacterial concentration (MBC), and the color measurement of the emulsion have been evaluated and optimized. Our results showed that the antimicrobial activity of PCL combined with neem and lavender oil was found to be the highest MIC and MBC against all tested bacteria. The droplet sizes for lavender oil are 21.86-115.15 nm, the droplet sizes for neem oil are 23.92-119.15 nm, and their combination is 25.97-50.22 nm. The range of pH and viscosity of nanoemulsions of various concentrations was found to be 5.8 to 6.6 pH and 0.372 to 2.101 cP. This study highlights the potential of nanotechnology in harnessing the antimicrobial properties of natural essential oils, paving the way for innovative and sustainable solutions in the fight against bacterial contamination.
Keyphrases
- staphylococcus aureus
- particulate matter
- public health
- escherichia coli
- bacillus subtilis
- essential oil
- fatty acid
- high throughput
- single cell
- photodynamic therapy
- drinking water
- biofilm formation
- pseudomonas aeruginosa
- air pollution
- machine learning
- gram negative
- health risk
- tissue engineering
- methicillin resistant staphylococcus aureus
- big data
- high resolution
- antimicrobial resistance
- multidrug resistant
- human health
- deep learning
- light emitting
- artificial intelligence