| Literature DB >> 29509718 |
Natalia Stozhko1, Maria Bukharinova2, Leonid Galperin3, Khiena Brainina4,5.
Abstract
The paper discusses the mechanism of uric acid (UA) electrooxidation occurring on the surface of gold nanoparticles. It has been shown that the electrode process is purely electrochemical, uncomplicated with catalytic stages. The nanoeffects observed as the reduction of overvoltage and increased current of UA oxidation have been described. These nanoeffects are determined by the size of particles and do not depend on the method of particle preparation (citrate and "green" synthesis). The findings of these studies have been used to select a modifier for carbon screen-printed electrode (CSPE). It has been stated that CSPE modified with gold nanoparticles (5 nm) and 2.5% Nafion (Nf) may serve as non-enzymatic sensor for UA determination. The combination of the properties of nanoparticles and Nafion as a molecular sieve at the selected pH 5 phosphate buffer solution has significantly improved the resolution of the sensor compared to unmodified CSPE. A nanostructured sensor has demonstrated good selectivity in determining UA in the presence of ascorbic acid. The detection limit of UA is 0.25 μM. A linear calibration curve has been obtained over a range of 0.5-600 μM. The 2.5%Nf/Au(5nm)/CSPE has been successfully applied to determining UA in blood serum and milk samples. The accuracy and reliability of the obtained results have been confirmed by a good correlation with the enzymatic spectrophotometric analysis (R² = 0.9938) and the "added-found" technique (recovery close to 100%).Entities:
Keywords: Nafion; blood serum; carbon screen-printed electrode; gold nanoparticles; milk; nanoeffects; uric acid; ”green” synthesis
Mesh:
Substances:
Year: 2018 PMID: 29509718 PMCID: PMC5872069 DOI: 10.3390/bios8010021
Source DB: PubMed Journal: Biosensors (Basel) ISSN: 2079-6374
Figure 1Calculated anodic voltammograms of 0.02 mM UA for different electrode processes: (a) electrochemical (E) and electrochemical, including catalytic stage (EC) at GCE; (b) electrochemical process at GCE, Au(20 nm)/GCE, Au(5nm)/GCE, Au(3nm)/GCE with equal surface area S = 4.5 × 10−2 cm2; and (c) electrochemical process at Au(3nm)/GCE with different nanoparticle surface.
Figure 2Derivative and ordinary anodic voltammograms of 0.1 mM UA and 0.1 mM AA mixtures at Au(5nm)/CSPE. Background: PBS (рН 5), ν = 50 mV/s.
Figure 3Experimental anodic voltammograms of 0.02 mМ UA at GCE (a), Au(20nm)/GCE (b) and Au(5nm)/GCE (c). Background: PBS (рН 7), ν = 50 mV/s.
Calculated and experimental parameters for voltammograms of UA electrooxidation on macro- and nanostructured electrodes.
| No. | Electrode | Calculated | Experimental | ||
|---|---|---|---|---|---|
| I, µA | E1/2, V | I, µA | E1/2, V | ||
| 1 | GCE | 0.109 | 0.49 | 0.118 | 0.50 |
| 2 | Au(20nm)/GCE | 0.111 | 0.47 | 0.120 | 0.46 |
| 3 | Au(5nm)/GCE | 0.132 | 0.42 | 0.131 | 0.42 |
| 4 | Au(14nm)/Au-bulk | 0.409 | 0.46 | 0.393 | 0.47 |
E1/2—half-wave potential of UA oxidation.
Figure 4Derivative anodic voltammograms of 0.1 mM UA, 0.1 mM AA at CSPE and their mixture at CSPE and Au(5nm)/CSPE. Background: PBS (pH 5), ν = 50 mV/s.
Figure 5Effect of Nafion concentration on the difference of potentials of 0.1 mM UA and 0.5 mM AA oxidation at the Nf/Au(5nm)/CSPE. Background: PBS (pH 5), ν = 50 mV/s.
Figure 6Derivative anodic voltammograms of 0.1 mM UA and 0.5 mM AA at the 2.5% Nf/Au(5nm)/CSPE in background solution with different pH.
Figure 7Derivative anodic voltammograms with increasing concentrations of UA (0.5–600 µM) at the 2.5% Nf/Au(5nm)/CSPE. Inset: corresponding calibration curve dI/dE = f(C). Background: PBS (pH 5), ν = 50 mV/s.
Interference of some substances with UA signal (The signal caused by 3 μM UA is taken as 100%).
| Interfering Substance | Concentration, µM | Changing Signal |
|---|---|---|
| AA | 15 | +1.3% |
| L-Triptophan | 30 | −2.6% |
| Urea | 300 | +2.8% |
| Glucose | 300 | +4.8% |
| Creatinine | 200 | −4.4% |
Analytical characteristics of UA determination with the use of different modified CSPEs.
| Electrode | Linear Range, μM | Limit of Detection, μM | Conditions of Signal Formation | pH | Real Sample | Ref. |
|---|---|---|---|---|---|---|
| MWCNTs/CSPE | 1–100 | 0.86 | 5 | urine | [ | |
| PAA-MWCNTs/CSPE | 0.5–30 | 0.458 | 7.5 | suppotingelectrolyte | [ | |
| CS-SWCNTs-IL/CSPE | 0.5–1000 | 0.17 | 2.4 | urine | [ | |
| Au-nps/CSPE | 0.0005–5000 | 0.0005 | FIA, Am | 1 | suppotingelectrolyte | [ |
| UOx-poly(4-ASA)-PB-CSPE | 10–200 | 3 | FIA, Am | 8.27 | urine | [ |
| PC–UOx–CA–CoPC–CSPE | 15–250 | 15 | ChAm | 9.2 | urine | [ |
| GO/Fe3O4@SiO2/CSPE | 0.75–300 | 0.57 | DPV | 7 | urine | [ |
| rGO-CSPE | 10–3000 | 0.35 | DPV | 7 | urine | [ |
| β-CD/rGO/CSPE | 0.08–150 | 0.026 | DPV | 7 | blood serum | [ |
| 2.5% Nf/Au(5nm)/CSPE | 0.5–600 | 0.25 | LSV | 5 | blood serum, milk | This work |
Am—amperometry, Au-nps—gold nanoparticles; CA—cellulose acetate, ChAm—chronoamperometry, CoPC—cobalt phthalocyanine, CS—chitosan, DPV—differential pulse voltammetry, Eacc—accumulation potential, FIA—flow injection analysis, GO—graphene oxide, IL—ionic liquid, MWCNTs—multi walled carbon nanotubes, PAA—polyacrylic acid, PB—Prussian blue, PC—polycarbonate, poly(4-ASA)—4-aminosalicylic acid, rGO—reduced graphene oxide, SWCNTs—single walled carbon nanotubes, tacc—accumulation time, UOx—uricase, β-CD—β-cyclodextrin.
Analysis results of blood serum samples using 2.5% Nf/Au(5 nm)/CSPE (n = 3, P = 0.95).
| Sample | UA in Serum, mM | UA Added, mM | UA Found, mM (Sample + Additive) | Recovery, % |
|---|---|---|---|---|
| Serum 1 | 0.36 | 0.50 | 0.91 ± 0.05 | 109 |
| Serum 2 | 0.24 | 0.30 | 0.57 ± 0.12 | 110 |
| Serum 3 | 0.58 | 0.25 | 0.84 ± 0.09 | 103 |
| Serum 4 | 0.21 | 0.30 | 0.54 ± 0.06 | 110 |
| Serum 5 | 0.16 | 0.30 | 0.49 ± 0.07 | 107 |
Figure 8Correlation between results of UA determination in blood serum samples obtained by the enzymatic spectrophotometric method and the proposed electrochemical method.
Analysis results of milk samples using 2.5% Nf/Au(5 nm)/CSPE (n = 3, p = 0.95).
| Sample | Added, μM | Found, μM | Recovery, % | Sr, % |
|---|---|---|---|---|
| Sample 1 | 20.0 | 20.3 | 101.5 | 2.5 |
| Sample 2 | 20.0 | 19.9 | 99.5 | 1.6 |
| Sample 3 | 20.0 | 19.3 | 96.5 | 1.9 |