Smartphone-based 3D-printed electrochemiluminescence enzyme biosensor for reagentless glucose quantification in real matrices

电化学发光 生物传感器 葡萄糖氧化酶 鲁米诺 检出限 基质(化学分析) 琼脂糖 化学 色谱法 材料科学 纳米技术
作者
Donato Calabria,Elisa Lazzarini,Andrea Pace,Ilaria Trozzi,Martina Zangheri,Stefano Cinti,Marinella Difonzo,G. Valenti,Massimo Guardigli,Francesco Paolucci,Mara Mirasoli
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:227: 115146-115146 被引量:12
标识
DOI:10.1016/j.bios.2023.115146
摘要

Three-dimensional (3D) printed electrochemical devices are increasingly used in point-of-need and point-of-care testing. They show several advantages such as simple fabrication, low cost, fast response, and excellent selectivity and sensitivity in small sample volumes. However, there are only a few examples of analytical devices combining 3D-printed electrodes with electrochemiluminescence (ECL) detection, an electrochemical detection principle widely employed in clinical chemistry analysis. Herein, a portable, 3D-printed miniaturized ECL biosensor for glucose detection has been developed, based on the luminol/H2O2 ECL system and employing a two-electrode configuration with carbon black-doped polylactic acid (PLA) electrodes. The ECL emission is obtained by means of a 1.5V AA alkaline battery and detected using a smartphone camera, thus providing easy portability of the analytical platform. The ECL system was successfully applied for sensing H2O2 and, upon coupling the luminol/H2O2 system with the enzyme glucose oxidase, for glucose detection. The incorporation of luminol and glucose oxidase in an agarose hydrogel matrix allowed to produce ECL devices preloaded with the reagents required for the assay, so that the analysis only required sample addition. The ECL biosensor showed an excellent ability to detect glucose up to 5 mmol L-1, with a limit of detection of 60 μmol L-1. The biosensor was also used to analyse real samples (i.e., glucose saline solutions and artificial serum samples) with satisfactory results, thus suggesting its suitability for point-of-care analysis. Coupling with other oxidases could further extend the applicability of this analytical platform.
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