Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

62
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...
62

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Neurochondrin promotes U5 snRNP maturation by regulating AAR2 release from PRPF8.

Nucleic acids research·2026
Same author

Microelectrode Arrays Technology for Brain-on-a-Chip Applications.

Biosensors·2026
Same author

Platelet-rich plasma facilitates earlier functional recovery and return to sport in traumatic meniscal repair: a retrospective cohort study.

Journal of orthopaedic surgery and research·2026
Same author

Effectiveness and safety of brivaracetam in patients with focal epilepsy: A systematic review and meta-analysis.

Epilepsy research·2026
Same author

Preoperative gut microbial network alterations and BCAA-Related metabolic disturbance in postoperative delirium after cardiac surgery: a prospective matched multi-omic study.

Translational psychiatry·2026
Same author

Elevated Plasma T-LAK cell-originated protein kinase Owned the Potential for Predicting Favorable Outcomes in Acute Ischemic Stroke Patients.

Cellular and molecular neurobiology·2026

Related Experiment Video

Updated: Apr 14, 2026

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions
12:20

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Published on: July 22, 2013

18.2K

Exosomal membrane proteins analysis using a silicon nanowire field effect transistor biosensor.

Meiyan Qin1, Jiawei Hu2, Xue Li3

  • 1Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 101408, China.

Talanta
|July 13, 2024
PubMed
Summary

We developed a sensitive, label-free Silicon nanowire field-effect transistor biosensor (Si-NW Bio-FET) for detecting exosomes. This method offers a new tool for disease surveillance and monitoring treatment effectiveness.

Keywords:
Classification detectionDebye screeningExosomesHL-60 cellsSi-NW Bio-FET

More Related Videos

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution
11:55

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution

Published on: August 16, 2016

11.7K
Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications
11:25

Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications

Published on: April 21, 2016

11.1K

Related Experiment Videos

Last Updated: Apr 14, 2026

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions
12:20

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Published on: July 22, 2013

18.2K
Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution
11:55

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution

Published on: August 16, 2016

11.7K
Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications
11:25

Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications

Published on: April 21, 2016

11.1K

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Biosensing

Background:

  • Exosomes are crucial biomarkers for clinical diagnosis due to their ability to reflect pathophysiological states.
  • Current exosome detection methods often suffer from low sensitivity and operational complexity.
  • Accurate exosome quantification and classification are essential for reliable disease diagnosis and treatment monitoring.

Purpose of the Study:

  • To develop a highly sensitive, label-free method for direct exosome detection using a Silicon nanowire field-effect transistor biosensor (Si-NW Bio-FET).
  • To investigate the influence of Debye length on Si-NW Bio-FET sensitivity through simulation.
  • To demonstrate the capability of the Si-NW Bio-FET for classifying exosomes from different cellular states.

Main Methods:

  • Simulated the impact of Debye length on Si-NW Bio-FET electrical response.
  • Fabricated Si-NW Bio-FETs modified with specific antibodies (CD81, CD9, CD63).
  • Detected and classified exosomes from HL-60 cell lines in various states using the fabricated biosensors.

Main Results:

  • Simulation showed increased electrical response with increased Debye length.
  • Achieved a low limit of detection (LOD) of 1078 particles/mL for exosomes.
  • Successfully distinguished exosomes from different HL-60 cell states, consistent with nano-flow cytometry results.

Conclusions:

  • The developed Si-NW Bio-FET offers a highly sensitive and label-free approach for direct exosome detection.
  • This technology has significant potential for disease surveillance and guiding medication instruction.
  • The method provides a promising alternative to existing complex exosome detection techniques.