Publications by authors named "M Eguchi"

We fabricated composite membranes containing inorganic nanosheets (NSs) and polymers and demonstrated their outstanding antibacterial performance against several opportunistic pathogens. Layered α-zirconium phosphate [Zr(HPO), α-ZrP] as a pristine compound of NS was exfoliated by ion-exchanging protons in the interlayer space of α-ZrP with bulky tetraalkylammonium ions (TRA: R = butyl, hexyl, and octyl). During the exfoliation process, TRA was electrostatically adsorbed onto α-ZrP NS with a negative surface charge (ZrP-TRA-NS).

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The remarkable properties of 2D nanomaterials are well known. However, their high interfacial adhesion energy often leads to restacking issues, limiting their potential in various applications. A strategic synthetic approach is presented to overcome this challenge.

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Residue-free and highly efficient techniques for drinking water disinfection are urgently needed. Herein, we report an electrochemical water disinfection system equipped with atomically precise Ag nanoclusters (NCs) as electrode materials. The deployment of these Ag NCs not only provides sufficient electrosorption sites for intelligent microbe enrichment but also ensures high-efficiency dual-mode microbial killing through the in situ electrocatalytic production of residue-free reactive oxygen species (ROS) and the inherent antimicrobial activity of Ag NCs.

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A bioluminescence-based RNA monitoring method in living cells was developed using a split NanoLuc (NLuc) reconstitution technique. For specific recognition of a target RNA sequence, a mutant PUM-HD (mPUM) was used. The method was applied to β-actin mRNA in various cells, including primary cultures of rat hippocampal neurons.

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Article Synopsis
  • This systematic review evaluates how machine learning, deep learning, and artificial intelligence are being utilized in aesthetic plastic surgery.
  • Researchers followed rigorous guidelines to analyze studies published from 2019 to 2024, ultimately including 18 relevant articles out of 2,148 screened.
  • The findings suggest that AI and ML technologies have the potential to enhance decision-making in aesthetic surgery by improving treatment plans and predicting postoperative complications.
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