Literature DB >> 33652955

Development of Flexible Ion-Selective Electrodes for Saliva Sodium Detection.

Hyo-Ryoung Lim1, Soon Min Lee2, Musa Mahmood1, Shinjae Kwon1, Yun-Soung Kim1, Yongkuk Lee3, Woon-Hong Yeo1,4,5.   

Abstract

Saliva can be used for health monitoring with non-invasive wearable systems. Such devices, including electrochemical sensors, may provide a safe, fast, and cost-efficient way of detecting target ions. Although salivary ions are known to reflect those in blood, no available clinical device can detect essential ions directly from saliva. Here, we introduce an all-solid-state, flexible film sensor that allows highly accurate detection of sodium levels in saliva, comparable to those in blood. The wireless film sensor system can successfully measure sodium ions from a small volume of infants' saliva (<400 µL), demonstrating its potential as a continuous health monitor. This study includes the structural characterization and error analysis of a carbon/elastomer-based ion-selective electrode and a reference electrode to confirm the signal reliability. The sensor, composed of a pair of the electrodes, shows good sensitivity (58.9 mV/decade) and selectivity (log K = -2.68 for potassium), along with a broad detection range of 5 × 10-5 ≈ 1 M with a low detection limit of 4.27 × 10-5 M. The simultaneous comparison between the film sensor and a commercial electrochemical sensor demonstrates the accuracy of the flexible sensor and a positive correlation in saliva-to-blood sodium levels. Collectively, the presented study shows the potential of the wireless ion-selective sensor system for a non-invasive, early disease diagnosis with saliva.

Entities:  

Keywords:  electrochemical sensor; ion-selective electrode; non-invasive diagnosis; saliva-to-blood sodium levels

Year:  2021        PMID: 33652955     DOI: 10.3390/s21051642

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Graphene-Based Ion-Selective Field-Effect Transistor for Sodium Sensing.

Authors:  Ting Huang; Kan Kan Yeung; Jingwei Li; Honglin Sun; Md Masruck Alam; Zhaoli Gao
Journal:  Nanomaterials (Basel)       Date:  2022-07-29       Impact factor: 5.719

  1 in total

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