A Wearable Electrochemical Biosensor for Salivary Detection of Periodontal Inflammation Biomarkers: Molecularly Imprinted Polymer Sensor with Deep Learning Integration.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published Date:

Abstract

The work presented here introduces a developed electrochemical biosensor for the salivary detection of matrix metalloproteinase-8 (MMP-8), utilizing a molecularly imprinted polymer (MIP) matrix based on poly(o-phenylenediamine). To enhance detection sensitivity and modulate impedance responses, graphene oxide (GO) is incorporated as an interlayer, providing a conductive and chemically stable matrix for precise electrochemical sensing. Density functional theory simulations confirm the formation of highly selective binding sites, further reinforcing the sensor's specificity for MMP-8 detection. The impedance-based mechanism allows real-time, label-free detection of salivary MMP-8 by tracking charge transfer resistance changes via the K[Fe(CN)₆]⁻/⁴⁻ redox probe, offering a non-invasive and highly sensitive alternative to conventional methods. Clinical validation using patient samples demonstrates excellent sensor performance, achieving high specificity and reproducibility. Additionally, a deep learning-assisted data analysis framework is integrated to enhance diagnostic accuracy by filtering out noise, identifying disease progression trends. Furthermore, a wearable mouthguard platform integrating the MIP-based electrode, enabling continuous monitoring of oral inflammation and facilitating early therapeutic intervention is developed. This approach, which combines MIP technology, electrochemical biosensing, wearable healthcare, and AI-driven diagnostics, has the potential to establish a next-generation precision oral health monitoring platform, advancing periodontal disease detection and personalized clinical management.

Authors

  • Sangheon Jeon
    Department of Optics and Mechatronics Engineering, Department of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan, 46241, Republic of Korea.
  • Sung Hyun Kim
    World Institute of Kimchi, Gwangju, 61755 Korea.
  • Gyeonghwa Heo
    Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.
  • Hye Jin Heo
    Department of Anatomy, School of Medicine, Pusan National University, Yangsan, 50612, Republic of Korea.
  • Seon Yeong Chae
    Engineering Research Center for Color-Modulated Extra-Sensory Perception Technology, Pusan National University, Busan, 46241, Republic of Korea.
  • Young Woo Kwon
    Engineering Research Center for Color-Modulated Extra-Sensory Perception Technology, Pusan National University, Busan, 46241, Republic of Korea.
  • Shin-Kyu Lee
    Medical Research Institute, School of Medicine, Department of Biomedical Informatics, School of Medicine, Periodontal Disease Signaling Network Research Center and Dental and Life Science Institute School of Dentistry, Pusan National University, Yangsan, 50612, Republic of Korea.
  • Dong-Wook Han
    Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.
  • Hyun-Joo Kim
    Department of Periodontology, School of Dentistry, Department of Periodontics and Dental Research Institute, Pusan National University Dental Hospital, Yangsan, 50621, Republic of Korea.
  • Yun Hak Kim
    Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, Republic of Korea.
  • Suck Won Hong
    Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.

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