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A fully handwritten-on-paper copper nanoparticle ink-based electroanalytical sweat glucose biosensor fabricated using dual-step pencil and pen approach.
- Source :
-
Analytica Chimica Acta . Sep2022, Vol. 1227, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- This article reports a facile fabrication of a highly sensitive enzyme-free sweat glucose sensor over Whatman filter paper substrate employing a dual-step pencil and pen approach. Initially, two pencil-drawn electrodes (PDEs) are obtained on the filter paper through the manual abrasion of an 8B graphite pencil. Then, the sensing layer is drawn over one of the PDEs using a custom-made copper (Cu) nanoparticle ink (CuNP-ink) pen to form copper nanoparticle ink decorated PDE (CuNP-ink/PDE) which serves as a working electrode, while the other PDE is drawn with silver conductive ink (Ag-ink) pen to form reference electrode. The developed CuNP-ink/PDE is composed of 43.5% of metallic Cu nanoparticles, inducing a highly crystalline and conductive nature, thus promoting fast electron transfer during glucose electrooxidation. The developed sensor offers a sensitivity of 2691.7 μ AmM−1cm−2, a detection limit of 0.5 μM, a linear range of 1.2–40 μM, and a fast response time of ∼ 1.5 s. Besides, the sensor measurements are stable, reproducible, and selective in glucose sensing. Also, the reliability of the sensor is tested by comparing its performance with a UV–Visible spectrophotometer for proving its efficacy in sweat glucose detection. Experimental results evince the effectiveness of the designed sensor for glucose detection in human sweat. [Display omitted] • Sensor is fabricated by hand drawing a layer of copper nanoparticle ink over pencil-drawn electrode (PDE). • Ink deposition allows permeation of glucose sensitive copper nanoparticles. • CuNP-ink/PDE is composed of 44.5% of metallic Cu nanoparticles. • Sensor offers sensitivity of 2616.6 μA mM−1 cm−2 and detection limit of 0.5 μM. • Results are compared with UV–Vis spectrophotometric assay in real sweat samples. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00032670
- Volume :
- 1227
- Database :
- Academic Search Index
- Journal :
- Analytica Chimica Acta
- Publication Type :
- Academic Journal
- Accession number :
- 159007579
- Full Text :
- https://doi.org/10.1016/j.aca.2022.340257