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Photoluminescence: Applications01:14

Photoluminescence: Applications

Photoluminescence offers a wide range of applications due to its inherent sensitivity and selectivity. This technique allows for both direct and indirect analyses of the analyte. Direct quantitative analysis is possible when the analyte exhibits a favorable quantum yield for fluorescence or phosphorescence. However, an indirect analysis may be feasible if the analyte is not fluorescent or phosphorescent, or if the quantum yield is unfavorable. Indirect methods include reacting the analyte with...

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High-Performance Ratiometric Fluorescence pH Sensor Based on HPTS-IP/TiO2@THHM Sensing Film.

Yaning Xue1, Jia Xiao1, Baohua Yue2

  • 1Department of Chemistry, Shanghai University, 99 Shangda Road, Shanghai, 200444, China.

Journal of Fluorescence
|May 17, 2025
PubMed
Summary

A novel ratiometric fluorescence pH sensor using HPTS-IP/TiO2@THHM film was developed. This sensor accurately measures pH in the 6.0-9.0 range with a fast response time.

Keywords:
Fluorescent pH sensorHPTS-IPOrganic/inorganic hybrid matrixRatiometric measurements

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Chemical Sensing

Background:

  • Developing accurate and rapid pH sensors is crucial for various scientific applications.
  • Existing sensors often face limitations in sensitivity, response time, or stability.
  • Ratiometric fluorescence sensing offers advantages in self-calibration and improved accuracy.

Purpose of the Study:

  • To develop a high-performance ratiometric fluorescence pH sensor.
  • To utilize a novel HPTS-IP/TiO2@THHM pH sensing film for enhanced performance.
  • To establish a reliable method for pH prediction using spectral characteristics.

Main Methods:

  • Fabrication of a pH sensing film embedding HPTS-IP hydrophobic ion pairs and TiO2 in a TEOS-HTES organic/inorganic hybrid matrix (THHM).
  • Excitation of HPTS-IP using pulsed signals from two LEDs (404 nm and 454 nm).
  • Development of a support vector regression (SVR) model for pH prediction based on fluorescence spectral characteristics.

Main Results:

  • The fluorescence intensity ratio showed significant correlation with pH in the 6.0–9.0 range.
  • The SVR model achieved a root mean square error (RMSE) of 0.180 and a correlation coefficient (R) of 0.999 for pH prediction.
  • The sensor demonstrated a fast response time of 27 s, along with excellent reproducibility, reversibility, and stability.

Conclusions:

  • The developed HPTS-IP/TiO2@THHM film is effective for ratiometric fluorescence pH sensing.
  • The sensor exhibits high accuracy, rapid response, and robust stability.
  • This sensor shows great potential for real-time pH monitoring applications.