Abstract

A broad spectrum of antibiotics with multiple mechanisms of action is urgently required to combat the growing public health threat posed by drug-resistant pathogenic microorganisms. Biomedical researchers have concentrated on creating novel antibacterial and anticancer therapies due to the limited availability of conventional antibacterial and anticancer medications. In this study citral-tryptamine molecule was synthesized and characterized using 1HNMR , 13CNMR , LCMS and FT-IR spectral techniques and various biological properties of synthesized molecules were investigated using several in silico approaches such as molecular docking, ADME, PASS analysis and bioactive score. Using citral-tryptamine molecule, selenium nanoparticles (CT@SeNP's) were synthesized and characterized using different spectral and imaging techniques such as UV–Visible spectra, SEM, FTIR, EDX, XRD and DLS. EDX and mapping were used to investigate the relevant atoms and their distribution. Three significant signals from the EDX corresponding to C atom (15.4 %), along with signals from the Se atom (80.9 %) and the N atom (3.7 %). CT@SeNP's showed excellent antibacterial property against MRSA. The minimum inhibitory concentration of CT@SeNP's was found to be 20±0.36 mm with a good zone of inhibition in a dose dependent manner. CT@SeNP's was treated with both normal and cervical cancer cell lines such as SiHa to investigate the dose optimization and cytotoxicity by MTT assay. The nanoparticle showed an IC50 value is 0.68 µM and the data strongly suggested that CT@SeNP's could have a high potential in future medication development against MRSA and cervical cancer cells. The proper development and manufacturing of electrocatalytic nanomaterials are essential for enhancing the performance of non-enzymatic electrochemical sensors. The electrochemical sensing of H2O2 was enhanced by nanocomposite CT@SeNPs, which have a low detection limit of 60.96 nM and can detect H2O2 in a wide range of concentrations, from 25 µM to 250 µM. Thus, an efficient sensing platform for non-enzymatic H2O2 detection was discovered by this investigation.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call