Wearable Optical Fiber SERS Sensor Based on a Flexible “Hydrogel Tentacle” for Sweat Remote and In Situ Detection

Wearable surface-enhanced Raman spectroscopy (SERS) sensors can detect analytes in sweat containing interfering substances, but they face challenges in integrating sampling, sensing, and detection into a single system for remote in situ analysis. To address this, this paper proposes a flexible "hydrogel tentacle" optical fiber (HTOF) SERS sensor, enabling remote in situ detection of analytes in sweat. The sensor uses a hydrogel with excellent water absorption as the flexible SERS substrate, which is in situ crosslinked with Ca<sup>2+</sup> at the optical fiber tip to assemble the flexible hydrogel tentacle (HT). The light transmitted through the fiber is coupled into the HT, enabling direct sampling of analytes. The sensor's performance was evaluated using 4-mercaptopyridine (4-Mpy), achieving an enhancement factor (EF) of 9.44 × 10<sup>10</sup> and a limit of detection (LOD) of 8.69 × 10<sup>-11</sup> M. After 40 days of storage, the sensor maintained 95.24% of its SERS activity, and the relative standard deviation (RSD) between different batches was as low as 2.64%. With the excellent bending and stretching properties of the HT, the sensor can be applied in wearable human devices. When combined with a one-dimensional convolutional neural network (1D-CNN) machine learning model, it can achieve semiquantitative recognition of uric acid, creatinine, and urea with an accuracy of up to 91.05%. The proposed sensor shows promising potential for applications in kidney disease assessment and health monitoring.

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Publication Details

Journal
ACS Sensors
Published
2026-03-13
DOI
https://doi.org/10.1021/acssensors.5c04615
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
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article

Wearable Optical Fiber SERS Sensor Based on a Flexible “Hydrogel Tentacle” for Sweat Remote and In Situ Detection

Adam Jones, Nan Lü, Jia Liu, Li Zhang et al.
ACS Sensors
Advanced Fiber Optic Sensors
article

Wearable Optical Fiber SERS Sensor Based on a Flexible “Hydrogel Tentacle” for Sweat Remote and In Situ Detection

Adam Jones, Nan Lü, Jia Liu, Li Zhang, Jing Yang, Xiyu Yang, Libo Yuan Libo Yuan, Fengjun Tian, Chen Shi, Rui Wang, Zhihai Liu, Kang Li
article en

Abstract

Wearable surface-enhanced Raman spectroscopy (SERS) sensors can detect analytes in sweat containing interfering substances, but they face challenges in integrating sampling, sensing, and detection into a single system for remote in situ analysis. To address this, this paper proposes a flexible "hydrogel tentacle" optical fiber (HTOF) SERS sensor, enabling remote in situ detection of analytes in sweat. The sensor uses a hydrogel with excellent water absorption as the flexible SERS substrate, which is in situ crosslinked with Ca<sup>2+</sup> at the optical fiber tip to assemble the flexible hydrogel tentacle (HT). The light transmitted through the fiber is coupled into the HT, enabling direct sampling of analytes. The sensor's performance was evaluated using 4-mercaptopyridine (4-Mpy), achieving an enhancement factor (EF) of 9.44 × 10<sup>10</sup> and a limit of detection (LOD) of 8.69 × 10<sup>-11</sup> M. After 40 days of storage, the sensor maintained 95.24% of its SERS activity, and the relative standard deviation (RSD) between different batches was as low as 2.64%. With the excellent bending and stretching properties of the HT, the sensor can be applied in wearable human devices. When combined with a one-dimensional convolutional neural network (1D-CNN) machine learning model, it can achieve semiquantitative recognition of uric acid, creatinine, and urea with an accuracy of up to 91.05%. The proposed sensor shows promising potential for applications in kidney disease assessment and health monitoring.

ACS SensorsVol. 11(3)
University of South Wales (GB), Guangdong University of Technology (CN), Harbin Engineering University (CN), Photonics (United States) (US), Computing Center (RU), Guilin University of Electronic Technology (CN)
Openalex Percentile: Top 22%
Advanced Fiber Optic Sensors
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