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A circle in the coordinate plane is defined as the set of all points that lie at a constant distance, known as the radius, from a fixed point called the center. This relationship is captured using the distance formula. For a point (x, y) on the circle and a center (h, k), the distance between them equals the radius r. By squaring both sides of the distance formula, the equation of the circle is written in standard form:Constructing the Equation from Geometric InformationIf the center and the...
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Correction: Jiménez-Sánchez et al. Antioxidant Enzymes Genetic Variants Associated with Urticaria/Angioedema Induced by Cross-Reactive Hypersensitivity to Nonsteroidal Anti-Inflammatory Drugs. <i>Pharmaceuticals</i> 2026, <i>19</i>, 522.

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Research Progress on Rolling Circle Amplification (RCA)-Based Biomedical Sensing.

Lide Gu1, Wanli Yan2, Le Liu3

  • 1College of Marine Life and Fisheries, Huahai Institute of Technology, Lianyungang 222005, China. gu_lide@163.com.

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Summary
This summary is machine-generated.

This review highlights how rolling circle amplification (RCA) enhances biosensor sensitivity for early disease detection. RCA significantly lowers the limit of detection (LOD), improving diagnostic capabilities for various medical conditions.

Keywords:
biosensorcancerclinical diagnosticsrolling circle amplification (RCA)

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Area of Science:

  • Biomedical Engineering
  • Molecular Biology
  • Analytical Chemistry

Background:

  • Early disease diagnosis is critical for effective treatment and improved patient survival rates.
  • Cancer development is a lengthy process, underscoring the need for sensitive detection methods.
  • Rolling circle amplification (RCA) is an isothermal enzymatic process for amplifying nucleic acid sequences.

Purpose of the Study:

  • To review advancements in rolling circle amplification (RCA) for medical biosensors.
  • To explore the application of RCA in improving the limit of detection (LOD) for disease diagnostics.
  • To summarize future trends in RCA-based biosensing for biomedical applications.

Main Methods:

  • Review of existing literature on RCA-based biosensors.
  • Analysis of different detection strategies combined with RCA, including SPR, electrochemical, and fluorescence methods.
  • Summarization of various RCA amplification strategies for target molecules.

Main Results:

  • RCA enables significant amplification of functional nucleic acid units, leading to a lower LOD.
  • RCA-based platforms have demonstrated versatility in detecting a wide range of targets like DNA, RNA, proteins, and cells.
  • Integration of RCA with various detection techniques enhances biosensor performance.

Conclusions:

  • RCA is a powerful tool for developing highly sensitive biosensors for early disease detection.
  • Further research into RCA-based platforms promises enhanced diagnostic capabilities for numerous medical conditions.
  • The review provides insights into the future trajectory of RCA in biomedical applications.