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 Experiment Videos

Optical fiber-based biosensors.

David J Monk1, David R Walt

  • 1Department of Chemistry, Pearson Lab, Tufts University, 62 Talbot Ave., Medford, MA 02155, USA. david.monk@tufts.edu

Analytical and Bioanalytical Chemistry
|June 29, 2004
PubMed
Summary
This summary is machine-generated.

This review covers optical fiber biosensor research from 2001-2003, detailing their classification by biological recognition elements like enzymes and antibodies for detecting various analytes.

Related Experiment Videos

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Blinded 2-Year Longitudinal Evaluation of SARS-CoV-2 Antigenemia in Long COVID.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2026
Same author

Digital seed amplification assay for TDP-43 aggregate quantification in CSF.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Differences in SARS-CoV-2 Antigen Persistence in Individuals With Systemic Autoimmune Rheumatic Diseases Compared to the General Population: A RECOVER-Adult Cohort Study.

Arthritis & rheumatology (Hoboken, N.J.)·2026
Same author

High-throughput single-vesicle imaging platform for direct extracellular vesicle profiling of human plasma.

Nature communications·2026
Same author

Endovascular profiles linked to neutrophil activation in children and young adults with long COVID.

Pediatric research·2026
Same author

Attomolar fecal cytokine profiling reveals gut immune dynamics and disease states.

bioRxiv : the preprint server for biology·2026
Same journal

Analyses of dextroamphetamine and its metabolites in human urine by capillary electrophoresis with diode array and capacitively coupled contactless conductivity detection (CE-DAD-C<sup>4</sup>D).

Analytical and bioanalytical chemistry·2026
Same journal

Whole-body mass spectrometry imaging reveals metabolome and lipid peroxidation heterogeneity in zebrafish xenografts of esophageal squamous cell carcinoma.

Analytical and bioanalytical chemistry·2026
Same journal

A robust and validated method for the determination of 21 urinary metabolites of 15 plasticizers, including phthalates, DEHTP, and DINCH, by online SPE and liquid chromatography-tandem mass spectrometry.

Analytical and bioanalytical chemistry·2026
Same journal

A label-free membrane-based biosensor array with AuNP-modified PDMS for sensitive and specific detection of alpha-fetoprotein.

Analytical and bioanalytical chemistry·2026
Same journal

Smartphone-integrated one-step colorimetric glucose detection at physiological pH enabled by a haloperoxidase mimic.

Analytical and bioanalytical chemistry·2026
Same journal

Chemiluminescence functionalized magnetic nanoparticles-based biosensor for sensitive detection of glucose, uric acid, and cholesterol.

Analytical and bioanalytical chemistry·2026
See all related articles

Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Optoelectronics

Background:

  • Optical fiber biosensors integrate biological recognition elements with optical fibers.
  • This review complements prior work, focusing on research from January 2001 to September 2003.
  • These sensors offer versatile applications in detecting a wide range of substances.

Purpose of the Study:

  • To provide a comprehensive overview of optical fiber-based biosensor research during a specific period.
  • To classify existing biosensor designs based on their biological recognition components.
  • To highlight the potential of these sensors for diverse analytical applications.

Main Methods:

  • Literature review of scientific publications from January 2001 to September 2003.
  • Classification of biosensors based on recognition element: enzyme, antibody/antigen (immunoassay), nucleic acid, whole cell, and biomimetic.
  • Analysis of sensor applications for various analytes including metals, chemicals, and physiological materials.

Main Results:

  • Identified key advancements and trends in optical fiber biosensor technology within the review period.
  • Detailed the classification of biosensors according to their biological recognition elements.
  • Demonstrated the broad applicability of these sensors for detecting diverse analytes.

Conclusions:

  • Optical fiber biosensors represent a significant area of research with diverse applications.
  • The classification based on recognition elements provides a useful framework for understanding sensor types.
  • Continued development in this field promises further advancements in analytical sensing capabilities.