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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
88

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Designing a Bio-responsive Robot from DNA Origami
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Correction: Intelligent micro/nanorobots based on biotemplates.

Ting Chen1,2, Yuepeng Cai1, Biye Ren2

  • 1School of Chemistry, South China Normal University, Guangzhou 510006, China. rfdong@m.scnu.edu.cn.

Materials Horizons
|May 22, 2024
PubMed
Summary
This summary is machine-generated.

This correction clarifies details regarding intelligent micro/nanorobots. It ensures accurate information is presented for these advanced bio-inspired machines.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Biomedical Engineering

Context:

  • The original article discussed intelligent micro/nanorobots.
  • Biotemplates are crucial for the design and fabrication of these robots.
  • Advancements in nanotechnology enable the creation of sophisticated micro/nanoscale devices.

Purpose:

  • To provide a formal correction to the published article.
  • To ensure the scientific record is accurate and complete.
  • To address any inaccuracies or omissions in the original publication.

Summary:

  • This is a correction notice for the article 'Intelligent micro/nanorobots based on biotemplates'.
  • It rectifies specific information within the original publication.
  • The correction pertains to the content presented by Ting Chen et al. in Materials Horizons.

Impact:

  • Ensures the integrity of scientific literature.
  • Facilitates accurate understanding of micro/nanorobot technology.
  • Supports ongoing research in intelligent bio-inspired robotics.