Graphite paste sensor modified with a Cu(II)-complex for the enzyme-free simultaneous voltammetric determination of glucose and uric acid in sweat

Vasiliou, Fotini; Plessas, Alexios K.; Economou, Anastasios; Thomaidis, Nikolaos S.; Papaefstathìou, Giannis S.; Kokkinos, Christos

doi:10.1016/j.jelechem.2022.116393

Cited by 11 publications

(8 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, considering practical applications, such as developing home testing devices, it seems difficult for people to isolate their own serum to eliminate most of the interferences. Owing to using the highly specific uricase, the enzyme method may be a good option …”

Section: Resultsmentioning

confidence: 99%

Calcium Fluoride/Manganese Dioxide Nanocomposite with Dual Enzyme-like Activities for Uric Acid Sensing: A Comparative Study of Enzyme and Nonenzyme Methods

Peng,

Tang,

et al. 2023

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

The debate over enzyme methods versus nonenzyme methods in the field of nanosensing has lasted for decades despite hundreds of published studies on this topic. In this study, we first present a comparative analysis of these methods using a reaction based on the CaF 2 /MnO 2 nanocomposite (CM Nc) with dual−enzyme activity, presenting oxidase-and peroxidase-like activities. Uric acid (UA) is a byproduct of purine metabolism in the body, and abnormal levels can cause many diseases; hence, tracking the amount of UA in human serum is crucial. The enzyme method was established using uricase and CM Nc: UA produced H 2 O 2 when catalyzed by uricase; H 2 O 2 was then catalyzed into reactive oxygen species (ROS) by the peroxidase activity of the CM Nc; this ROS oxidized 3,3′,5,5′-tetramethylbenzidine (TMB), which was oxidized into blue oxidized TMB (oxTMB). The nonenzyme method was built on the scavenging effect of UA on the ROS, which prevented the catalytic capability of CM Nc toward TMB and induced blue oxTMB fading. The results of further tests revealed the good selectivity of the enzyme method compared to the fast response of the nonenzyme method. Additionally, both methods were effective in determining the UA concentration in human serum. The two separate methods can also independently verify each other, increasing the accuracy of the detection results in accordance with the relatively independent detection principles. This research provided theoretical backing for the practical design of multienzyme nanozyme catalysts, which can facilitate the precise detection of UA in biochemical products.

show abstract

Section: Resultsmentioning

confidence: 99%

Calcium Fluoride/Manganese Dioxide Nanocomposite with Dual Enzyme-like Activities for Uric Acid Sensing: A Comparative Study of Enzyme and Nonenzyme Methods

Peng,

Tang,

et al. 2023

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

show abstract

“…For enzyme-free GLU sensors, selectivity is a key factor for their noninvasive applications, as the sensors can be subject to interferences by other biomarkers (such as urea, uric acid, and lactic acid) co-existing in sweat that can impact the precision of GLU monitoring. To examine the selectivity of Fe 3 O(PhCO 2 ) 6 (H 2 O) 3 ]∙PhCO 2 /3DPE in sweat, a concentration of 220 mmol L −1 urea, 250 μmol L −1 uric acid, and 55 mmol L −1 lactic acid was added separately and together in the artificial sweat, and their effect on the DPV oxidation peak of 200 µmol L −1 GLU was studied [ 12 , 43 ]. As shown in Figure 8 A the sweat biomarkers did not cause any statistically significant effect on the DPV GLU oxidation peak, demonstrating the satisfactory selectivity 3D printed GLU sensor to other common co-existing biomarkers in sweat.…”

Section: Resultsmentioning

confidence: 99%

3D Printed Voltammetric Sensor Modified with an Fe(III)-Cluster for the Enzyme-Free Determination of Glucose in Sweat

et al. 2022

Self Cite

View full text Add to dashboard Cite

In this work, a 3D printed sensor modified with a water-stable complex of Fe(III) basic benzoate is presented for the voltammetric detection of glucose (GLU) in acidic epidermal skin conditions. The GLU sensor was produced by the drop-casting of Fe(III)-cluster ethanolic mixture on the surface of a 3D printed electrode fabricated by a carbon black loaded polylactic acid filament. The oxidation of GLU was electrocatalyzed by Fe(III), which was electrochemically generated in-situ by the Fe(III)-cluster precursor. The GLU determination was carried out by differential pulse voltammetry without the interference from common electroactive metabolites presented in sweat (such as urea, uric acid, and lactic acid), offering a limit of detection of 4.3 μmol L−1. The exceptional electrochemical performance of [Fe3O(PhCO2)6(H2O)3]∙PhCO2 combined with 3D printing technology forms an innovative and low-cost enzyme-free sensor suitable for noninvasive applications, opening the way for integrated 3D printed wearable biodevices.

show abstract

“…Previously, the detection of glucose basically requires blood, which is a non-continuous invasive test. If we develop a non-invasive detection method to detect the concentration of glucose in the body, such as saliva, 77 tears, 78 sweat, 79 etc., this will be a huge advancement in glucose detection technology and a huge boon for patients. At present, some research teams have tried in this direction.…”

Section: Discussionmentioning

confidence: 99%

Research progress of electrode materials for non-enzymatic glucose electrochemical sensors

Li¹,

Shen

Ji³

et al. 2023

Sens. Diagn.

View full text Add to dashboard Cite

show abstract

Graphite paste sensor modified with a Cu(II)-complex for the enzyme-free simultaneous voltammetric determination of glucose and uric acid in sweat

Cited by 11 publications

References 36 publications

Calcium Fluoride/Manganese Dioxide Nanocomposite with Dual Enzyme-like Activities for Uric Acid Sensing: A Comparative Study of Enzyme and Nonenzyme Methods

Calcium Fluoride/Manganese Dioxide Nanocomposite with Dual Enzyme-like Activities for Uric Acid Sensing: A Comparative Study of Enzyme and Nonenzyme Methods

3D Printed Voltammetric Sensor Modified with an Fe(III)-Cluster for the Enzyme-Free Determination of Glucose in Sweat

Research progress of electrode materials for non-enzymatic glucose electrochemical sensors

Contact Info

Product

Resources

About