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Updated: Jun 11, 2026

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Intelligent optical pH sensing via metasurface spectral encoding and machine learning.

Jiayi Hu, Yingbo Li, Wanjun Wang

    Applied Optics
    |June 10, 2026
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces an intelligent optical pH sensor using metasurfaces and AI. It accurately measures pH from test strips, overcoming visual limitations for reliable chemical sensing.

    Area of Science:

    • Optical Sensing
    • Metamaterials
    • Chemical Analysis

    Background:

    • Visual pH test strip interpretation suffers from subjectivity and inaccuracy.
    • Existing electrochemical sensors require frequent calibration, limiting their on-site application.
    • Advanced optical methods are needed for precise and portable pH monitoring.

    Purpose of the Study:

    • To develop a compact, intelligent optical pH sensing system.
    • To overcome the limitations of visual interpretation and electrochemical sensor calibration.
    • To enable accurate and rapid on-site pH analysis.

    Main Methods:

    • Utilized a metasurface for random spectral encoding.
    • Employed a neural-network-assisted framework for spectral reconstruction.

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    Last Updated: Jun 11, 2026

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  • Developed a system correlating spectral signatures with pH values.
  • Trained a fully connected neural network for quantitative pH detection.
  • Main Results:

    • Accurate reconstruction of pH test strip transmission spectra was achieved.
    • A three-dimensional dataset linked spectral data to pH values.
    • Quantitative pH detection was enabled without electrode calibration.
    • The system demonstrated robustness and efficiency for on-site analysis.

    Conclusions:

    • The proposed metasurface-based optical system offers a precise alternative to visual pH strip reading.
    • This intelligent sensor overcomes key limitations of current pH measurement technologies.
    • The system shows significant potential for portable and rapid chemical sensing applications.