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Related Concept Videos

Local Anesthetics: Differential Sensitivity of Nerve Fibers01:24

Local Anesthetics: Differential Sensitivity of Nerve Fibers

Local anesthetics (LAs) block the sodium channels of nerve trunks, sensory nerve endings, and neuromuscular junctions. Although LAs can block all kinds of nerves, the sensitivity of nerve fibers differs according to nerve types and structures. LAs are known to block myelinated fibers faster than unmyelinated ones. Also, they block pain or sensory neurons at low concentrations without affecting the motor neurons involved in muscle contractions. This helps relieve labor pain without affecting the...

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The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
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Application of Biosensors for Detecting Peripheral Nerve Injury.

Jiaqi Liu1, Xiaoqi Yang1, Nianci Huo1

  • 1Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China.

ACS Biomaterials Science & Engineering
|June 24, 2026
PubMed
Summary

Early detection of peripheral nerve injury (PNI) is crucial. Biosensors offer a promising, less invasive alternative to conventional methods for identifying PNI biomarkers, improving diagnosis and treatment.

Keywords:
biomarkersbiosensorsneuronsperipheral nerve injuryperipherin

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Analytical Chemistry

Background:

  • Peripheral nerve injury (PNI) diagnosis relies on costly, invasive methods.
  • Early detection of PNI biomarkers is vital for effective management.
  • Current diagnostic limitations necessitate advanced detection strategies.

Purpose of the Study:

  • To review biomarkers for peripheral nerve injury (PNI).
  • To summarize conventional PNI detection methods.
  • To explore the application of biosensors for PNI detection and future prospects.

Main Methods:

  • Literature review of PNI biomarkers and detection techniques.
  • Classification and analysis of biosensor technologies.
  • Evaluation of biosensor advantages and disadvantages for PNI diagnosis.

Main Results:

  • Identified key biomarkers associated with peripheral nerve injury.
  • Detailed conventional diagnostic approaches and their limitations.
  • Summarized the novel application of biosensors for PNI detection.

Conclusions:

  • Biosensors present a promising, sensitive, and potentially less invasive approach for PNI diagnosis.
  • Further development and clinical validation of biosensors are needed.
  • Biosensing technology holds potential to revolutionize PNI management.