Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 42,
  • Issue 8,
  • pp. 3045-3051
  • (2024)

A Reliable Fiber-Optic Temperature Sensor Based on Fluorescence Intensity Ratio Technique for Real-Time Human Thermal Detection

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we propose and demonstrate a ratiometric fluorescence temperature sensor based on an innovative silica-tellurite composite, which is capable of sensing dynamic human thermal information in real time. The temperature-sensitive upconversion fluorescence emission is generated by a miniaturized tellurite glass tip upon near-infrared excitation and collected by silica optical fiber channels. The ambient temperature information is demodulated via a fluorescence intensity ratio technique. This is the first time that Er3+/Yb3+ co-doped tellurite glass, which has fragile mechanical strength and a distinctive softening temperature, has been successfully extracted into a thin-walled silica tube using a negative pressure method. This provides a robust packaging for tellurite glass, allowing it for reliable thermometry in various complex scenarios. When applied to a human body, the sensitive tip located in the armpit and tongue fossa can continuously and accurately acquire the thermal information with a fast response time within 1 s. With its miniature size, robust packaging, intrinsic safety, fast response, and high reliability, the proposed ratiometric fluorescence sensor holds great potential for real-time human (in vivo/ex vivo) health assessment in clinical medicine, personalized healthcare, human-machine interfaces, and other intricate scenarios.

PDF Article

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.