Rapid Detection of Peanut Allergen Ara H 2 Using Fiber-Optic LSPR Biosensor

We present a fiber-optic localized surface plasmon resonance (FOLSPR) biosensor for the rapid and sensitive detection of peanut allergen Ara h 2. The sensor exhibits a low detection limit, high reproducibility, and real-time monitoring capability, making it suitable for allergen detection applications.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110635
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rapid Detection of Peanut Allergen Ara H 2 Using Fiber-Optic LSPR Biosensor

Chien Hsing Chen, C.-T. Wang, Hsing Yu Chiang, Chang‐Shuo Wu et al.
Advanced Chemical Sensor Technologies
article

Rapid Detection of Peanut Allergen Ara H 2 Using Fiber-Optic LSPR Biosensor

Chien Hsing Chen, C.-T. Wang, Hsing Yu Chiang, Chang‐Shuo Wu, C. K. Chiang
article en

Abstract

We present a fiber-optic localized surface plasmon resonance (FOLSPR) biosensor for the rapid and sensitive detection of peanut allergen Ara h 2. The sensor exhibits a low detection limit, high reproducibility, and real-time monitoring capability, making it suitable for allergen detection applications.

National Pingtung University of Science and Technology (TW), National Changhua University of Education (TW), National Yunlin University of Science and Technology (TW)
Zero hunger
Openalex Percentile: Top 80%
Advanced Chemical Sensor Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.