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ORIGINAL RESEARCH article

Front. Phys.

Sec. Optics and Photonics

Volume 13 - 2025 | doi: 10.3389/fphy.2025.1595785

Fermentation Endpoint Detection of Soybean Using Specially Designed P d-Coated FBG Stress Sensor

Provisionally accepted
  • 1HITEC University, Taxila, Pakistan
  • 2University of Ottawa, Ottawa, Ontario, Canada
  • 3Mirpur University of Science and Technology, Mirpur, Azad Kashmir, Azad Kashmir, Pakistan
  • 4King Saud University, Riyadh, Riyadh, Saudi Arabia
  • 5Uppsala University, Uppsala, Uppsala, Sweden

The final, formatted version of the article will be published soon.

Determining the fermentation endpoint of organic compounds is critical for optimizing yield, ensuring the product consistency, and minimizing byproducts. However, conventional detection methods are slow, labor-intensive, and lack real-time monitoring, limiting their suitability for industrial automation. We propose a novel, non-destructive method for real-time detection of fermentation endpoint of Soybean using Palladium (P d)-coated fiber Bragg grating (FBG) stress sensor. The fermentation endpoint can be detected by monitoring the shift in Bragg wavelength caused by the stress in P d-coated FBG sensor due to the volume expansion of the P d coating upon the formation of Palladium Hydride (P dH x ) after Hydrogen (H 2 ) gas absorption, which is released as a byproduct during Soybean fermentation. The P d-coated FBG stress sensor is analytically designed and validated using OptiSystem simulation tool, achieving a high sensitivity of 61.6 pm/MPa. Our findings confirm that this method provides a simple, efficient, and real-time solution for monitoring the fermentation process of organic compounds that produce H 2 offering significant advantages over traditional techniques.

Keywords: Fermentation endpoint, Soybean, Palladium, Hydrogen sensing, fiber bragg grating, Wavelength sensitivity, Induced stress

Received: 18 Mar 2025; Accepted: 26 May 2025.

Copyright: © 2025 Mirza, Atieh, Kanwal, Kanwal, Almogren and Aziz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Imran Aziz, Uppsala University, Uppsala, 753 12, Uppsala, Sweden

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