Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 37,
  • Issue 18,
  • pp. 4815-4822
  • (2019)

A Recyclable Optical Fiber Sensor Based on Fluorescent Carbon Dots for the Determination of Ferric Ion Concentrations

Not Accessible

Your library or personal account may give you access

Abstract

A new recyclable fiber optic sensor with a carbon dot/cellulose acetate (CA)-sensitive membrane, in which carbon dots prepared by a hydrothermal method were embedded in the CA film matrix, was successfully used for ferric ion detection. The fluorescent carbon dots immobilized in a sensitive CA membrane are effectively quenched by ferric ion in aqueous solution, and the linear relationship between the fluorescent response of the carbon dots and the Fe3+ concentration was described by the Stern–Volmer equation. A lock-in amplifier was used for detecting the Fe3+ concentration in this recyclable fiber optic sensor based on phase-modulation fluorometry. A linear calibration was obtained in the range from 0.1 to 1.0 mM with a detection limit of 0.03 mM (S/N = 3). This carbon dot/CA sensitive membrane can be recycled and used for ferric ion detection with a good linear calibration.

PDF Article
More Like This
Optical sensing of H2O2 based on red-shift of emission wavelength of carbon quantum dots

Cheng-Shane Chu, Meng-Wei Hsieh, and Zhi-Ren Su
Opt. Mater. Express 6(3) 759-766 (2016)

Solvent-modulated luminescence of carbon dots for ion sensing and fingerprint detection

Jinxing Zhao, You Zhang, Mingjun Chen, Yanan Ding, Baoyou Liu, Gang Yue, Li Guan, Chunsheng Wang, Baolai Liang, and Xu Li
Opt. Express 32(7) 12394-12404 (2024)

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.