Systematic Review on IoT: Wearable Chemical Sensors

• Carlos E. do Egito Araújo UFG
• Lívia F. Sgobbi UFG
• Renato Bulcão Neto UFG
• Iwens G. Sene Jr UFG
• Sergio T. Carvalho UFG

DOI: https://doi.org/10.5753/erigo.2022.227321

Abstract

Health applications have received greater attention with the use of the Internet of Things - IoT, due to the use of sensors for remote monitoring, not only in hospital environments, but also in domestic environments and in activities daily living. Wearable chemical sensors have been proposed in the health area for the continuous monitoring of the individual’s well-being, however, the challenges related to the convergence of these two areas still require a lot of research for the solutions to be effectively applied. The objective of this paper is to present the results of a systematic literature review carried out with the purpose of highlighting the applications that employ the use of wearable chemical sensors in IoT contexts. The results found present several challenges and open questions of a promising research field involving IoT and wearable chemical sensors.

References

Balaji, A. N., Yuan, C., Wang, B., Peh, L.-S., and Shao, H. (2019). PH Watch - Leveraging Pulse Oximeters in Existing Wearables for Reusable, Real-Time Monitoring of PH in Sweat (Demo). In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys ’19, pages 687–688, New York, NY, USA. Association for Computing Machinery. event-place: Seoul, Republic of Korea.

Barfidokht, A., Mishra, R. K., Seenivasan, R., Liu, S., Hubble, L. J., Wang, J., and Hall, D. A. (2019). Wearable electrochemical glove-based sensor for rapid and on-site detection of fentanyl. Sensors and Actuators B: Chemical, 296:126422.

Chou, J.-C., Lin, S.-H., Kuo, P.-Y., Lai, C.-H., Nien, Y.-H., Lai, T.-Y., and Su, T.-Y. (2019a). A Sensitive Potentiometric Biosensor Using MBs-AO/GO/ZnO Membranes-Based Arrayed Screen-Printed Electrodes for AA Detection and Remote Monitoring. IEEE Access, 7:105962–105972

Chou, J.-C., Wu, Y.-X., Kuo, P.-Y., Lai, C.-H., Nien, Y.-H., Lin, S.-H., Yan, S.-J., and Wu, C.-Y. (2019b). Determination of L-Ascorbic Acid Using MBs-AOX/GO/IGZO/Al by Wireless Sensing System and Microfluidic Framework. IEEE Access, 7:45872–45880.

Ciui, B., Martin, A., Mishra, R. K., Nakagawa, T., Dawkins, T. J., Lyu, M., Cristea, C., Sandulescu, R., and Wang, J. (2018). Chemical Sensing at the Robot Fingertips: Toward Automated Taste Discrimination in Food Samples. ACS Sensors, 3(11):2375–2384.

Gokhale, P., Bhat, O., and Bhat, S. (2018). Introduction to iot. International Advanced Research Journal in Science, Engineering and Technology, 5(1):41–44.

Hajizadegan, M., Sakhdari, M., Abbasi, S., and Chen, P.-Y. (2021). Machine Learning Assisted Multi-Functional Graphene-Based Harmonic Sensors. IEEE Sensors Journal, 21(6):8333–8340.

Kim, J., Sempionatto, J. R., Imani, S., Hartel, M. C., Barfidokht, A., Tang, G., Campbell, A. S., Mercier, P. P., and Wang, J. (2018). Simultaneous Monitoring of Sweat and Interstitial Fluid Using a Single Wearable Biosensor Platform. ADVANCED SCIENCE, 5(10).

Li, R., Qi, H., Ma, Y., Deng, Y., Liu, S., Jie, Y., Jing, J., He, J., Zhang, X., Wheatley, L., Huang, C., Sheng, X., Zhang, M., and Yin, L. (2020). A flexible and physically transient electrochemical sensor for real-time wireless nitric oxide monitoring. Nature Communications, 11(1).

Magno, M., Salvatore, G. A., Jokic, P., and Benini, L. (2019). Self-Sustainable Smart Ring for Long-Term Monitoring of Blood Oxygenation. IEEE Access, 7:115400–115408.

Mariakakis, A., Chen, S., Nguyen, B. H., Bray, K., Blank, M., Lester, J., Ryan, L., Johns, P., Ramos, G., and Roseway, A. (2020). EcoPatches: Maker-Friendly Chemical-Based UV Sensing. In Proceedings of the 2020 ACM Designing Interactive Systems Conference, pages 1983–1994. Association for Computing Machinery, New York, NY, USA.

Mujeeb-U-Rahman, M., Honarvar Nazari, M., and Sencan, M. (2019). A novel semiconductor based wireless electrochemical sensing platform for chronic disease management. Biosensors and Bioelectronics, 124-125:66–74.

Roy, S., Nagabooshanam, S., Krishna, K., Wadhwa, S., Chauhan, N., Jain, U., Kumar, R., Mathur, A., and Davis, J. (2020). Electroanalytical Sensor for Diabetic Foot Ulcer Monitoring with Integrated Electronics for Connected Health Application. Electroanalysis, 32(9):2082–2089.

Scannavino, K. R. F., Nakagawa, E. Y., Fabbri, S. C. P. F., and Ferrari, F. C. (2017). Revisão Sistemática da Literatura em Engenharia de Software: teoria e prática. Elsevier.

Sempionatto, J., Brazaca, L., García-Carmona, L., Bolat, G., Campbell, A., Martin, A., Tang, G., Shah, R., Mishra, R., Kim, J., Zucolotto, V., Escarpa, A., and Wang, J. (2019). Eyeglasses-based tear biosensing system: Non-invasive detection of alcohol, vitamins and glucose. Biosensors and Bioelectronics, 137:161–170.

Sempionatto, J., Nakagawa, T., Pavinatto, A., Mensah, S., Imani, S., Mercier, P., and Wang, J. (2017). Eyeglasses based wireless electrolyte and metabolite sensor platform. Lab on a Chip, 17(10):1834–1842.

Yoon, J. H., Kim, S.-M., Park, H. J., Kim, Y. K., Oh, D. X., Cho, H.-W., Lee, K. G., Hwang, S. Y., Park, J., and Choi, B. G. (2020). Highly self-healable and flexible cable-type pH sensors for real-time monitoring of human fluids. Biosensors and Bioelectronics, 150:111946.