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<p>This work introduces an innovative capillary (hollow core) optical fiber-based sensor designed to measure turbidity using light reflection along its cladding. The structure consists of two capillary sections surrounding a single-mode fiber (SMF) section. The final capillary has been optimized to maximize light interaction with the external liquid. Experimentation includes data collection from different turbidity levels using the reflected light spectrum. Machine learning has been implemented to improve the measuring by exploring the effectiveness of various algorithms and neural network architectures in achieving a good root mean square error. We have obtained a maximum testing error of 5.88% NTU.</p>

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Capillary-based optical fiber sensor for turbidity measurement

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月9日

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  • Evelyn Vanegas-Tenezaca,
  • Angel I. Correa Serrano,
  • Marko Galarza,
  • Raphael Jamier,
  • Philippe Roy,
  • Adolfo Cobo,
  • Rosa A. Perez-Herrera,
  • Manuel Lopez-Amo

摘要

This work introduces an innovative capillary (hollow core) optical fiber-based sensor designed to measure turbidity using light reflection along its cladding. The structure consists of two capillary sections surrounding a single-mode fiber (SMF) section. The final capillary has been optimized to maximize light interaction with the external liquid. Experimentation includes data collection from different turbidity levels using the reflected light spectrum. Machine learning has been implemented to improve the measuring by exploring the effectiveness of various algorithms and neural network architectures in achieving a good root mean square error. We have obtained a maximum testing error of 5.88% NTU.