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Smartphone-Based Ammonium Ion Biosensor for Sweat Analysis

Received: 18 April 2019    Accepted:     Published: 23 May 2019
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Abstract

In this article, we present a smartphone-based biosensor for detection of the ammonium ion in sweat. The sensing system consists of a sample collection chip, an ammonium ion selective electrode by screen printing, a potential reading chip and a smartphone. When the sweat flows through the sensitive membrane, a membrane potential is generated which can be captured by the potential reading chip linked with the smartphone. The potential signal was then converted to concentration value by a calibration curve. The detection can be achieved within one minute with good repeatability, and the level of the ammonium ion in sweat can reflect the body state during exercise.

Published in Science Discovery (Volume 7, Issue 2)
DOI 10.11648/j.sd.20190702.11
Page(s) 61-64
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Sweat Analysis, Ammonium Ion Detection, Biosensor

References
[1] W. N. Fishbein, J. W. Foelimer and J. I. Davis, “Medical Implications of the Lactate and Ammonia Relationship in Anaerobic Exercise,” Int. J. Sports. Med., vol. 11, pp. S91–S100.
[2] G. Ravier, B. Dugu´e, F. Grappe and J.-D. Rouillon, “Maximal Accumulated Oxygen Deficit and Blood Responses of Ammonia, Lactate and pH after Anaerobic Test: a Comparison between International and National Elite Karate Athletes,” Int. J. Sports Med., vol. 26, pp. 1–8.
[3] D. B. Shawcross, S. S. Shabbir, N. J. Taylor and R. D, “Ammonia and the neutrophil in the pathogenesis of hepatic encephalopathy in cirrhosis,” Hepatology., vol. 51, pp. 1062–1069.
[4] S. W. Brusilow and E. H. Gordes, Am. J. Physiol, “Ammonia secretion in sweat,” vol. 214, pp. 513–517.
[5] D. Czarnowski, J. G´orski, J. J´ozwiuk and A. Boron-Kaczmarska, “Plasma ammonia is the principal source of ammonia in sweat,” Eur. J. Appl. Physiol., vol. 65, pp. 135–137.
[6] D. Czarnowski, J. Langfort, W. Pilis and J. G´orski, “Effect of a low-carbohydrate diet on plasma and sweat ammonia concentrations during prolonged nonexhausting exercise,” Eur. J. Appl. Physiol., vol. 70, pp. 70–74.
[7] V. F. Curto, C. Fay, S. Coyle, R. Byrne, D. Diamond and F. Benito-L´opez, 15th International Conference on Miniaturized Systems for Chemistry and Life Sciences, October 2–6 2011, pp. 577–579.
[8] I. Alvear-Ordenes, D. Garc´ıa L´opez, J. A. De Paz and J. Gonz´alez-Gallego, “Sweat lactate, ammonia, and urea in rugby players,” Int. J. Sports Med., vol. 26, pp. 632–637.
[9] Tomàs Guinovart, Bandodkar, A. J. , Windmiller, J. R., Andrade, F. J. and Wang, J., “A potentiometric tattoo sensor for monitoring ammonium in sweat,” The Analyst, vol. 138, pp. 7031-7038.
[10] A Kim, J., Araujo, W. R. D., Samek, I. A., Bandodkar, A. J., Jia, W. and Brunetti, B., “Wearable temporary tattoo sensor for real-time trace metal monitoring in human sweat,” Electrochemistry Communications, vol. 51, pp. 41-45.
[11] F. X. Rius-Ruiz, G. A. Crespo, D. Bejarano-Nosas,P. Blondeau, J. Riu and F. X. Rius, “Potentiometric Strip Cell Based on Carbon Nanotubes as Transducer Layer: Toward Low-Cost Decentralized Measurements,” Anal. Chem., vol. 83, pp. 8810–8815.
[12] M. S. Ghauri and J. D. R, “Poly(vinyl chloride) type ammonium ion-selective electrodes based on nonactin: solvent mediator effects, Thomas,” Anal. Proc., vol. 31, pp. 181-183.
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  • APA Style

    Ying Ni, Hong Liu. (2019). Smartphone-Based Ammonium Ion Biosensor for Sweat Analysis. Science Discovery, 7(2), 61-64. https://doi.org/10.11648/j.sd.20190702.11

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    ACS Style

    Ying Ni; Hong Liu. Smartphone-Based Ammonium Ion Biosensor for Sweat Analysis. Sci. Discov. 2019, 7(2), 61-64. doi: 10.11648/j.sd.20190702.11

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    AMA Style

    Ying Ni, Hong Liu. Smartphone-Based Ammonium Ion Biosensor for Sweat Analysis. Sci Discov. 2019;7(2):61-64. doi: 10.11648/j.sd.20190702.11

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  • @article{10.11648/j.sd.20190702.11,
      author = {Ying Ni and Hong Liu},
      title = {Smartphone-Based Ammonium Ion Biosensor for Sweat Analysis},
      journal = {Science Discovery},
      volume = {7},
      number = {2},
      pages = {61-64},
      doi = {10.11648/j.sd.20190702.11},
      url = {https://doi.org/10.11648/j.sd.20190702.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20190702.11},
      abstract = {In this article, we present a smartphone-based biosensor for detection of the ammonium ion in sweat. The sensing system consists of a sample collection chip, an ammonium ion selective electrode by screen printing, a potential reading chip and a smartphone. When the sweat flows through the sensitive membrane, a membrane potential is generated which can be captured by the potential reading chip linked with the smartphone. The potential signal was then converted to concentration value by a calibration curve. The detection can be achieved within one minute with good repeatability, and the level of the ammonium ion in sweat can reflect the body state during exercise.},
     year = {2019}
    }
    

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    T1  - Smartphone-Based Ammonium Ion Biosensor for Sweat Analysis
    AU  - Ying Ni
    AU  - Hong Liu
    Y1  - 2019/05/23
    PY  - 2019
    N1  - https://doi.org/10.11648/j.sd.20190702.11
    DO  - 10.11648/j.sd.20190702.11
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 61
    EP  - 64
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20190702.11
    AB  - In this article, we present a smartphone-based biosensor for detection of the ammonium ion in sweat. The sensing system consists of a sample collection chip, an ammonium ion selective electrode by screen printing, a potential reading chip and a smartphone. When the sweat flows through the sensitive membrane, a membrane potential is generated which can be captured by the potential reading chip linked with the smartphone. The potential signal was then converted to concentration value by a calibration curve. The detection can be achieved within one minute with good repeatability, and the level of the ammonium ion in sweat can reflect the body state during exercise.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • State Key Laboratory of Bioelectronics, Southeast University, Nanjing, China

  • State Key Laboratory of Bioelectronics, Southeast University, Nanjing, China

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