Heavy metal ions are major contributors to water pollution, posing significant threats to both ecological balance and human health due to their carcinogenic properties. The increasing need for heavy metal detection highlights the advantages of electrochemical methods, which offer high sensitivity and efficiency. Herein mesoporous nitrogen containing carbon (MNC) was utilized for the simultaneous determination of heavy metals using square wave voltammetry technique in the established conditions of a buffer pH of 5.
View Article and Find Full Text PDFThe mechanistic target of rapamycin kinase (MTOR) is pivotal for cell growth, metabolism, and survival. It functions through two distinct complexes, mechanistic TORC1 and mechanistic TORC2 (mTORC1 and mTORC2). These complexes function in the development and progression of cancer by regulating different cellular processes, such as protein synthesis, lipid metabolism, and glucose homeostasis.
View Article and Find Full Text PDFBackground: Nuclear import, dependent on the transporter importin α (IMPα), is a drug target for apicomplexan parasites Plasmodium falciparum and Toxoplasma gondii. Indeed, a panel of small molecule inhibit interactions between IMPα and nuclear localization signals (NLSs) in vitro and the growth of rapidly dividing stages (P. falciparum blood stages and T.
View Article and Find Full Text PDFThe current culture-based bacterial detection technique is time-consuming and requires an extended sample preparation methodology. We propose the potential of surface-enhanced Raman spectroscopy (SERS) and surface plasmon-enhanced auto-fluorescence spectroscopy (SPEAS) for the label-free identification and quantification of bacterial pathogens at low concentrations collecting its unique auto-fluorescence and Raman signatures utilising highly anisotropic three-dimensional nanostructures of silver nano dendrites (Ag-NDs). The SERS data facilitates qualitative bacterial identification using the spectral features coming from the bacterial cell wall compound, and the SPEAS data was utilised to gain unique auto-fluorescence spectra present on the bacterial cell wall with enhanced quantification.
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