In vitro cytotoxic effects of modified zinc oxide quantum dots on breast cancer cell lines (MCF7), colon cancer cell lines (HT29) and various fungi
Source abstract
Abstract
An important ideal objective of this study was to perform surface functionalization of fine (1–3 nm) ZnO quantum dot nanoparticles (QD NPs) in order to inhibit decomposition and agglomeration of nanoparticles in aqueous media. Polymers, oily herbal fatty acids, PEG (polyethylene glycol), and organosilanes are the main reagents used in these reactions, because they are completely soluble in water, and can be used as biological probes in nanomedicine. Vegetable fatty acid-capped ZnO (QD NPs) was fabricated by dissolving at a suitable pH after sol–gel method in the presence of nonionic surfactants as efficient templates with a particular HLB (hydrophilic-lipophilic balance) value (9.7 and 8.2). In the present research, we focused on the cellular toxicity of fine zinc oxide QD NPs containing particular blue fluorescence for targeted delivery of MCF7 and HT29 cancer cell lines. The IC50 values were determined as 10.66 and 5.75 µg/ml for MCF7 and HT29, respectively. These findings showed that ZnO QDs have low toxicity in normal cells (MDBK) and can display potential application in cancer chemotherapy in the near future. These properties could result in the generation of a promising candidate in the field of nanobiomedicine. The robust-engineered ZnO QD NPs showed their antibacterial and antifungal activities against Bacillus anthracis, Staphylococcus aureus, Klebsiella pneumonia, and Staphylococcus epidermidis bacteria and also different fungi such as Microsporum gypseum, Microsporum canis, Trichophyton mentagrophytes, Candida albicans, and Candida tropicalis, compared with the standard antibiotic agents like Gentamicin and Clotrimazol.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Quantum Dots Synthesis And Properties · Nanoparticles: synthesis and applications · Carbon and Quantum Dots Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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