Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 52,
  • Issue 8,
  • pp. 1092-1095
  • (1998)

Distributed Fiber-Optic Chemical Sensor with Chemically Modified Plastic Cladding

Not Accessible

Your library or personal account may give you access

Abstract

A novel method for modification of the polymer cladding of an optical fiber has been developed for use in distributed chemical sensing. The usefulness of the new technique is illustrated by means of a distributed sensor for ammonium ions based on a 9 m long plastic-clad silica fiber modified with phenol red. The stability of the immobilized indicator made it possible, for the first time, to use a chemically modified fiber for the reversible detection of ammonium ions in highly alkaline solution (pH 11-14). The new sensor offers a broader dynamic range (four orders of magnitude) and shorter response time (30 s) than point sensors for ammonium ions reported in the past.

PDF Article
More Like This
Optical power flow in plastic-clad silica fibers

Svetislav Savovicć and Alexandar Djordjevich
Appl. Opt. 41(36) 7588-7591 (2002)

Porous plastic optical fiber sensor for ammonia measurement

Quan Zhou, David Kritz, Laura Bonnell, and George H. Sigel
Appl. Opt. 28(11) 2022-2025 (1989)

Distributed chemical detection outside standard coated fibers using Brillouin optical time-domain analysis of cladding mode spectra

Elad Zehavi, Alon Bernstein, Gil Bashan, Hilel Hagai Diamandi, Kavita Sharma, Yosef London, Mirit Hen, Keren Shemer, Andrei A. Stolov, Jie Li, and Avi Zadok
Optica 9(12) 1433-1443 (2022)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.