Laser & Optoelectronics Progress, Volume. 62, Issue 13, 1306013(2025)

Sweat pH Sensor Based on Micro-Nano Fiber Coated with Calcium Alginate Hydrogel

Yang Yang, Zhijun Wang, Shengyou Huang, Jian Chen, Ling Huang, Yan Liu, Binbin Luo*, and Shenghui Shi
Author Affiliations
  • Chongqing Key Laboratory of Optical Fiber Sensor and Photoelectric Detection, Chongqing University of Technology, Chongqing 400054, China
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    We propose a pH sensor based on calcium alginate (CaAlg) hydrogel-coated micro-nano fibers (MNFs) for the high sensitivity detection of sweat pH. The basic principle is that the change in refractive index induced by the swelling and contraction of the CaAlg hydrogel caused by a change in the solution pH promotes a change in the effective refractive-index difference of the MNF bimode interference, thereby causing a drift in its interference wavelength. The effect of the CaAlg hydrogel concentration on the pH sensitivity of the sensor was analyzed, and the performance indices related to sweat-pH sensing were evaluated. Experimental results show that the sensor can detect the pH of the aqueous solution in the range of 2 to 9 as well as achieve an ultrahigh sensitivity of -4.87 nm/pH. The average sensitivity for artificial sweat in the pH range of 4.4?8.8 is approximately -5.83 nm/pH, the linear coefficient exceeds 0.984, the response time is less than 2 min, and the stability is 95.000%?99.286% within 100 min. The proposed MNF-based pH sensor offers high sensitivity, a simple structure, stable performance, and easy fabrication, as well as demonstrates high feasibility and application potential for the detection of sweat pH.

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    Yang Yang, Zhijun Wang, Shengyou Huang, Jian Chen, Ling Huang, Yan Liu, Binbin Luo, Shenghui Shi. Sweat pH Sensor Based on Micro-Nano Fiber Coated with Calcium Alginate Hydrogel[J]. Laser & Optoelectronics Progress, 2025, 62(13): 1306013

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Dec. 26, 2024

    Accepted: Feb. 14, 2025

    Published Online: Jun. 18, 2025

    The Author Email: Binbin Luo (luobinbin@cqut.edu.cn)

    DOI:10.3788/LOP242493

    CSTR:32186.14.LOP242493

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