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Nanoscale 2020-Sep

Hepatoprotective Angelica sinensis silver nanoformulation against multidrug resistant bacteria and the integration of a multicomponent logic gate system

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Přihlášení Registrace
Odkaz je uložen do schránky
Jouharsha Afthab
Nafeesa Khatoon
Lulu Zhou
Tianming Yao
Shuo Shi

Klíčová slova

Abstraktní

The rampant usage of antibiotics has led to the emergence of toxicity, especially hepatotoxicity and the emergence of microbial drug resistance. Hence, a series of novel hepatoprotective, biocompatible, antibacterial silver nanoformulations (AS-AgNPs) were developed by using the important Chinese medicinal plant Angelica sinensis. The different size of AS-AgNPs were characterized by UV-Visible spectroscopy, transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR). The size-dependent antibacterial properties of AS-AgNPs were investigated against Gram-positive, Gram-negative and multi-drug resistant bacteria. The minimum inhibitory concentration (MIC) of AS-AgNPs with different size against six bacteria was found to be in the range of 5-100 μg mL-1 with no resistance till 12 cycles. TEM and SEM results of bacteria after the treatment suggested that AS-AgNPs disrupted the cell membrane by creating pores. The cytocompatibility and cytoprotective effect of AS-AgNPs were evaluated against HepG2 cell lines, which showed that 85% of cells were viable up to 100 μg mL-1 of the concentration with almost no change in AST and ALT levels. Further, a logic combinatorial library, including basic logic gates (AND, OR, NOR, INHIBIT, IMPLICATION, and YES), three input logic gates (OR, and NOR) and combinatorial gates (INH-OR, INH-YES, INH-INH, AND-NOR, and NOT-AND-NOR) were designed by integrating multi-components based on the interaction between AS-AgNP1 and bacteria, where DiSC3(5) was used as the signal reporter. This system clearly demonstrates the ability of simple logic circuits to perform sophisticated analysis for the detection of multiple bacteria.

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