2021
DOI: 10.3390/bios12010002
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Powerful Electron-Transfer Screen-Printed Platforms as Biosensing Tools: The Case of Uric Acid Biosensor

Abstract: The use of carbon nanomaterials (CNMs) in sensors and biosensor realization is one of the hottest topics today in analytical chemistry. In this work, a comparative in-depth study, exploiting different nanomaterial (MWNT-CO2H, -NH2, -OH and GNP) modified screen-printed electrodes (SPEs), is reported. In particular, the sensitivity, the heterogeneous electron transfer constant (k0), and the peak-to-peak separation (ΔE) have been calculated and analyzed. After which, an electrochemical amperometric sensor capable… Show more

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Cited by 14 publications
(12 citation statements)
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References 60 publications
(60 reference statements)
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“…The obtained linear range, sensitivity, limit of detection, and Michaelis–Menten constant values of the fabricated sensor show its competitiveness with analogous enzymatic uric acid electrochemical sensors based on screen-printed electrodes or metal substrates [ 29 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ], the main characteristics of which are listed in Table 2 , as well as non-enzymatic sensors [ 56 ]. Unfortunately, sensor performance data for the electrodes modified with polyelectrolyte multilayers with alternating uricase layers [ 54 ] were insufficient for a direct comparison with the sensor in this work, but our fabricated sensor benefits from a lower consumption of uricase enzyme (one layer in this work vs. ten layers in [ 54 ]) and a less expensive substrate (CFE vs. Pt).…”
Section: Resultsmentioning
confidence: 99%
“…The obtained linear range, sensitivity, limit of detection, and Michaelis–Menten constant values of the fabricated sensor show its competitiveness with analogous enzymatic uric acid electrochemical sensors based on screen-printed electrodes or metal substrates [ 29 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ], the main characteristics of which are listed in Table 2 , as well as non-enzymatic sensors [ 56 ]. Unfortunately, sensor performance data for the electrodes modified with polyelectrolyte multilayers with alternating uricase layers [ 54 ] were insufficient for a direct comparison with the sensor in this work, but our fabricated sensor benefits from a lower consumption of uricase enzyme (one layer in this work vs. ten layers in [ 54 ]) and a less expensive substrate (CFE vs. Pt).…”
Section: Resultsmentioning
confidence: 99%
“…Mainly, enzyme-based electrochemical biosensors have been widely fabricated and studied, which offer remarkable selectivity and sensitivity. 10–15 Notably, the use of enzymes in biosensors results in limited storage stability and involves a complicated procedure for enzyme immobilization. Compared to enzymatic biosensors, the non-enzymatic sensors have more significant advantages of long-term storage stability and easy fabrication steps.…”
Section: Introductionmentioning
confidence: 99%
“…Herein, a facile and one-step-prepared sensor based on Carbon Nano-Materials (CNMs)-modified screen-printed electrodes (SPEs) is reported. It is well-known that the conventional SPEs (i.e., graphite, carbon) have serious issues due to their sluggish surface kinetics, which severely affects the sensitivity (i.e., broad peak, high potential needed, no peak at a lower concentration) and selectivity of the platforms [ 56 , 57 ]. Nowadays, CNMs represent the most valid solution to overcome this problem, owing to the wide range of applications and their physical and chemical properties [ 58 , 59 , 60 ].…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, CNMs represent the most valid solution to overcome this problem, owing to the wide range of applications and their physical and chemical properties [ 58 , 59 , 60 ]. Among the several advantages provided by the modification of SPEs with CNMs, the improved surface kinetics, the enhanced electroactive surface area, and the amended adsorption and functionalization capability are the most important [ 56 , 61 , 62 ]. Herein, we decided to use CNMs for the development of model sensors for the rapid, sensitive, and highly reproducible environmental monitoring of HQ and BQ.…”
Section: Introductionmentioning
confidence: 99%