A User-Configurable Smartwatch as a Point-of-Care Testing Device for Electrochemical Biosensors

被引:1
作者
Raj, S. Vineeth [1 ]
Pradeep, Aarathi [2 ]
Raveendran, Jeethu [3 ,4 ]
Nair, Bipin G. [5 ]
Babu, T. G. Satheesh [2 ]
Suneesh, P. V. [2 ]
机构
[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Elect & Commun Engn, Coimbatore 641112, India
[2] Amrita Vishwa Vidyapeetham, Amrita Sch Phys Sci, Dept Sci, Amrita Biosensor Res Lab, Coimbatore 641112, India
[3] Amrita Vishwa Vidyapeetham, Amrita Biosensor Res Lab, Coimbatore 641112, India
[4] Sahrudaya Coll Engn & Technol, Dept Biomed Engn, Trichur 680684, Kerala, India
[5] Amrita Vishwa Vidyapeetham, Amrita Sch Biotechnol, Kollam 690525, Kerala, India
关键词
Sensors; Wearable Health Monitoring Systems; Testing; Electrodes; Electric potential; Biomarkers; Biosensors; Amperometry; point-of-care testing (PoCT); smartwatch; voltammetry; wearable device; FABRICATION; DIAGNOSIS;
D O I
10.1109/JSEN.2024.3397869
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The article presents the development of a wristwatch as a configurable testing platform for personalized point-of-care testing (PoCT). The developed watch can perform voltammetry and amperometry in a wide operating range, thus making the system capable of detecting various bioanalytes. This overcomes a major limitation of the existing meters available in the market, where each sensor requires a dedicated meter. The user selects the desired biomolecule for quantification on the smartphone using the developed Android mobile application. The test parameters are transferred via Bluetooth, and the smartwatch is tuned to the chosen sensor. As a proof-of-concept, we have developed electrochemical biosensors for testing clinically significant biomolecules such as glucose, uric acid (UA), and ascorbic acid (AA), which was then interfaced with the smartwatch for the on-demand quantification. Using an analog-to-digital converter (ADC) with 12-bit resolution, the device demonstrated a high resolution of 0.732 mV. The smartwatch could overcome the limitation associated with the quantification of UA in the presence of AA by doing baseline subtraction, and the results show a low relative standard deviation of 4%. The glucose analysis was highly reproducible with a relative standard deviation of 4.95%, with a high resolution of 0.0217 mg dL(-1), and the results could be obtained within 5 s. The results obtained using the smartwatch were in excellent conformity with those obtained from a laboratory electrochemical workstation. The key advantage of the device is that it can be easily configured to test any new biomarkers without any hardware change by over-the-air mobile application updates.
引用
收藏
页码:20805 / 20812
页数:8
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