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. 2019 Jul 16;4(7):12222–12229. doi: 10.1021/acsomega.9b01730

Electrochemical Cycling-Induced Spiky CuxO/Cu Nanowire Array for Glucose Sensing

Hsin-Hsin Fan 1, Wei-Lun Weng 1, Chi-Young Lee 1, Chien-Neng Liao 1,*
PMCID: PMC6682137  PMID: 31460337

Abstract

graphic file with name ao-2019-01730g_0012.jpg

The glucose level is an important biological indicator for diabetes diagnosis. In contrast with costly and unstable enzymatic glucose sensing, oxide-based glucose sensors own the advantages of low fabrication cost, outstanding catalytic ability, and high chemical stability. Here, we fabricate a self-supporting spiky CuxO/Cu nanowire array structure by electrochemical cycling treatment. The spiky CuxO/Cu nanowire is identified to be a Cu core passivated by a conformal Cu2O layer with extruded CuO petals, which provides abundant active sites for electrocatalytic reaction in glucose detection. An interruptive potential sweeping experiment is presented to elucidate the growth mechanism of the spiky CuxO/Cu nanostructure during the potential cycling treatment. The spiky CuxO/Cu nanowire array electrode exhibits a sensitivity of 1210 ± 124 μA·mM–1·cm–2, a wide linear detection range of 0.01–7 mM, and a short response time (<1 s) for amperometric glucose sensing. The study demonstrates a route to modulate oxide phase, crystal morphology, and electrocatalytic properties of metal/oxide core–shell nanostructures.

Introduction

A timely and accurate detection of glucose levels in biological fluids is essential for diabetes care. Traditional glucose sensing is based on the enzymatic functionalization of immobile glucose oxidase (GOx) in a gel on an electrode.1 Although enzymatic glucose sensors have been brought to practical medical diagnostic applications, yet the stability and durability of GOx still remains to be improved for enzymatic glucose sensing because they can be easily affected by test environments such as temperature, pH value, oxygen content, and humidity.2,3 Recently, a non-enzymatic glucose sensing based on the electrocatalytic oxidation of glucose on noble metals,48 metal oxides,914 complexes,15,16 and carbon materials17,18 has been actively researched to resolve the reliability and durability problems encountered for enzymatic glucose sensing. Among these non-enzymatic glucose sensing materials, semiconductive metal oxides appear to be highly attractive by considering the fabrication cost, synthesis complexity, biocompatibility, chemical stability, and electrocatalytic performance.19

Copper oxide is a promising glucose sensing material because of the advantages of natural abundance, low cost, nontoxicity, and excellent electrocatalytic properties. A tremendous research effort has been dedicated to the development of enzyme-free glucose sensors based on Cu oxides.18,20 Generally, Cu oxides in the form of nanoparticles (NPs) or nanowires (NWs) are preferred forms because their catalytic efficiency and charge transfer capability are greatly enhanced due to the presence of plentiful active sites on the surface of NPs and NWs. To form a functional sensing electrode, Cu oxide NPs or NWs synthesized from solutions must be transferred onto a conducting substrate such as a glassy carbon electrode (GCE).21 However, the charge transport from oxide to the conducting electrode may be hindered by huge contact resistance between the NPs or NWs. Zhang et al. prepared a glucose sensor with CuO NPs/GCE configuration, showing a high sensitivity of 2555 μA·mM–1·cm–2 and a low detection limit of 72 nM but a narrow linear detection range of 0.1–3 mM.21 Moreover, Cu NWs with extruded Cu2O nanosheets have been synthesized and implemented onto a GCE, showing a glucose sensing performance of 1420 μA·mM–1·cm–2 in sensitivity, 40 nM in detection limit, and 0.7–2.0 mM in the linear detection range.22 The main issue associated with the NPs/GCE or NWs/GCE type glucose sensors is the narrow linear range that is likely attributed to the resistive transport path of charge carriers from Cu oxide NPs (NWs) to the electrode. Li et al. have electrodeposited Cu NPs on a Cu foil directly, followed by an appropriate anodic oxidation treatment, to form a CuxO/Cu glucose sensor, showing a wide linear detection range up to 6 mM.20 In summary, a direct growth of nanostructured Cu oxide on a conducting electrode shall be able to provide the best overall glucose detection performance.

A cyclic voltammetric deposition technique, also known as the potential cycling method, has been used to grow various metal oxides including ruthenium oxide and manganese oxide by controlling composition and pH value of electrolyte and potential sweeping range and cycles.23,24 In this study, a spiky CuxO/Cu NW array structure was grown on a Ni thin film electrode through template-assisted electrodeposition followed by potential cycling treatment, as shown in Scheme 1. The oxide phase and crystal structure of the CuxO/Cu NWs were characterized. The growth mechanism of the spiky CuxO/Cu nanostructure during the potential cycling treatment is elucidated based on the ex situ microstructure characterization in an interruptive potential sweeping experiment. Finally, the glucose sensing performance of the spiky CuxO/Cu NW array was evaluated by amperometric measurement.

Scheme 1. Schematic Representation of the Synthesis of Spiky CuxO/Cu NW Array.

Scheme 1

Results and Discussion

Synthesis of the Spiky CuxO/Cu NW Array

An array of Cu NWs grown on a Ni thin film was released from the anodic alumina oxide (AAO) template and consequently treated in an alkaline solution by sweeping the potential back and forth in a three-electrode cell. The scanning electron microscopy (SEM) images show that the as-released Cu NWs exhibit a smooth surface (Figure 1a,c) and transform into a spiky morphology after the potential cycling treatment (Figure 1b,d). An X-ray diffraction (XRD) analysis indicates that only cuprous oxide (Cu2O) is present in the as-released Cu NWs, whereas both Cu2O and cupric oxide (CuO) appear on the post-treated Cu NWs (Figure 1e). Furthermore, an enlarged transmission electron microscopy (TEM) image reveals that the Cu NW indeed is passivated by a conformal Cu2O layer with some CuO “petals” extruding out of the Cu2O layer (Figure 2a). The Cu/Cu2O/CuO composite nanostructure was further confirmed by the high-resolution TEM (HRTEM) images and their corresponding fast Fourier transform (FFT) diffraction patterns (Figure 2b–d).

Figure 1.

Figure 1

Planar and cross-sectional SEM images of (a,c) as-released Cu NWs and (b,d) Cu NWs with potential cycling treatment. (e) XRD patterns of the as-released and post-treated Cu NW arrays.

Figure 2.

Figure 2

(a) TEM image of the spiky CuxO/Cu NW showing a Cu core passivated by a conformal Cu2O layer with extruded CuO and the corresponding HRTEM images and FFT diffraction patterns of (b) Cu (red square), (c) Cu2O (yellow square), and (d) CuO (orange square).

Now, one question may be raised whether the unique spiky CuO/Cu2O/Cu nanostructure is specifically associated with the electrochemical potential cycling treatment. It has been attempted to grow CuO on the Cu NWs in the same alkaline electrolyte by applying a constant oxidation potential of +0.6 V (vs SCE) with the same duration as the potential cycling treatment. Interestingly, the Cu NWs only formed a thick and rough Cu2O layer rather than the spiky CuO according to the XRD and TEM analyses (Figure 3). A static anodic oxidation environment is apparently unable to grow spiky CuO on the Cu NWs. Thus, an in-depth understanding of the growth mechanism of spiky CuO during the potential cycling treatment becomes the subject of interest.

Figure 3.

Figure 3

(a) Low-magnification TEM image of the Cu NW subject to static-potential oxidation treatment; (b) HRTEM image of Cu2O obtained from the red square in (a); (c) XRD patterns of the as-released and post-treated Cu NW arrays.

Growth Mechanism of Spiky CuxO/Cu NWs

The spiky CuxO/Cu NW array was obtained by sweeping the potential with respect to the saturated calomel electrode (SCE) from +0.6 to −0.7 V and back to +0.6 V several times at a scan rate of 2.5 mV/s in a 0.1 M NaOH solution. Each cyclic voltammetry (CV) curve behaves differently with potential sweeping cycles (Figure 4). Considering the sweeping potential in between −0.2 and +0.6 V of the oxidation half-cycle (upper part), the current peak is most significant in the first CV cycle, then becomes two individual small peaks in the second CV cycle, and finally decreases down to a negligible level in the following CV cycles. It implies that the growth of CuO phase mainly occurs in the first CV cycle, becomes less significant in the second cycle, and is almost negligible in the following cycles.

Figure 4.

Figure 4

CV curves of the Cu NW array measured by sweeping the potential with respect to the SCE from +0.6 to −0.7 V and back to +0.6 V five times at a scan rate of 2.5 mV/s in a 0.1 M NaOH electrolyte.

Here, an ex situ experiment was performed by interrupting the potential sweeping process at different stages of the first CV cycle to clarify the microstructural evolution of the Cu NWs during the potential cycling process (Figure 5a). First, by sweeping the potential from +0.6 to 0 V in the reduction half-cycle (Segment I), a large oxidation current was developed and decreased to a negligible level rapidly. Some tiny CuO particles formed on the Cu NW surface as shown in the TEM image (Figure 5b). Second, by sweeping the potential from +0.6 to −0.7 V directly in the reduction half-cycle (Segment I + II), there is a clear reduction of current peak in between −0.4 to −0.6 V. A TEM analysis indicates that Cu2O becomes the major oxide phase in the electrochemically treated Cu NW (Figure 5c). The Cu2O phase is mainly ascribed to the reduction of CuO NPs formed in the previous stage because the sweeping potential covers the Cu(II) → Cu(I) reduction peak at −0.55 V. Consequently, by sweeping the potential from +0.6 to −0.7 V and back to −0.4 V (Segment I + II + III), the Cu2O/Cu NWs showed no significant change in morphology and oxide phase (Figure 5d). Although the sweeping potential covers the Cu → Cu(I) transformation at–0.5 V in the oxidation half-cycle, the oxidation peak in the CV curve is barely detectable (Figure 5a) and no gross oxide formation is observed in this stage. Finally, when the Cu NWs were treated with a complete CV cycle (Segment I + II + II + IV), they evolved into spiky Cu/CuxO NWs (Figure 5e). It is noted that a large current peak in the potential between −0.2 and +0.3 V of the oxidation half-cycle may reflect a gross formation of Cu oxide associated with the Cu(I) → Cu(II) and Cu → Cu(II) transformations. The Cu(I) → Cu(II) transformation may involve two possible oxidation reactions, as given below.

graphic file with name ao-2019-01730g_m001.jpg 1
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Figure 5.

Figure 5

(a) Potential sweeping process interrupted at different stages of the first CV cycle. Low-magnification TEM images of the CuxO/Cu NW and HRTEM images of Cu oxide in red square (insets) after the sweeping process along (b) Segment I, (c) Segment I + II, (d) Segment I + II + III, and (e) Segment I + II + III + IV.

The above two reactions reveal that Cu2O can be oxidized to form Cu(OH)2 or CuO when the sweeping potential is in between −0.2 and 0 V.

Although Cu(OH)2 formation is the dominant reaction in the electrochemical cell,25,26 the Cu(OH)2 can further transform into CuO in a basic solution through the dehydration reaction with an intermediate of Cu(OH)42–.27 Therefore, the previously formed Cu2O extrusions would transform into CuO in this stage. When the potential was swept further to the range of +0.1 to +0.3 V, the Cu → Cu(II) transformation becomes active and favors the formation of copper hydroxide from elemental Cu.

graphic file with name ao-2019-01730g_m003.jpg 3

In this reaction, Cu atoms are first ionized into Cu2+ ions under the applied potential. The Cu2+ ions would diffuse through the previously formed Cu2O layer and react with OH ions to sustain the growth of Cu(OH)2. Actually, the Cu2+ ionized at the inner Cu tend to out-diffuse along some fast paths such as grain boundaries and surface of the extruded Cu2O. Assuming the diffusion of Cu2+ ions as the rate-limiting step, dendritic Cu(OH)2 is expected to form because the replenishment flux of Cu2+ ions varies from site to site on the CuxO/Cu NW. Finally, the dendritic Cu(OH)2 would transform into spiky CuO after the dehydration reaction. The morphological evolution of Cu NWs during the potential cycling is depicted in Scheme 2.

Scheme 2. Schematic Representation of the Transformation from a Cu/Cu2O core–Shell NW to a Flowerlike Cu/Cu2O/CuO Structure.

Scheme 2

Effects of Potential Scan Rate and NaOH Concentration on the CuxO/Cu NW Morphology

Although both CuO and Cu(OH)2 belong to Cu(II) species, they do exhibit distinct crystal morphology and color. The Cu(OH)2 phase appears to be blue, while the CuO looks black (Figure S1). The relative portion of these two Cu(II) species in the CuxO/Cu NW array can be modulated by changing the scan rate of potential cycling treatment and NaOH concentration in the electrolyte. Figure 6 shows the SEM images of the CuxO/Cu NWs treated in a 0.1 M NaOH solution after three potential cycling with different scan rates (2.5–100 mV/s). It is found that the specimens with high scan rates (>5 mV/s) show many needlelike crystallites among the CuxO/Cu NWs without spiky morphology. The needlelike crystallites were identified to be the Cu(OH)2 phase according to the TEM analysis (Figure S2). As we mentioned earlier, Cu(OH)2 is a precursor for CuO formation during the potential cycling treatment. Under a high scan rate, newly formed Cu(OH)2 cannot be completely transformed into CuO due to the slow dehydration reaction. Instead, some Cu(OH)2 would grow into needlelike crystallites. Thus, the spiky CuO only grows at a slow scan rate during potential cycling. The growth kinetics of Cu(OH)2 can also be tailored by varying the NaOH concentration in the electrolyte.

Figure 6.

Figure 6

SEM images of the CuxO/Cu NWs treated in a 0.1 M NaOH solution after three potential cycling with different scan rates: (a) 100, (b) 50, (c) 5, and (d) 2.5 mV/s.

Figure 7 shows the SEM images of the CuxO/Cu NWs treated in a solution of different NaOH concentrations (0.001–2 M) after three potential cycling at a scan rate of 2.5 mV/s. It is found that the thin CuO petals transform into thick CuO plates around the CuxO/Cu NWs with increasing NaOH concentration in the electrolyte. It is noted that no spiky CuO was developed in the CuxO/Cu NWs prepared in 0.001 M NaOH electrolyte (Figure 7a) due to the suppressed Cu(OH)2 formation under an extremely low NaOH concentration. The enhanced growth of Cu(OH)2 in an electrolyte of high NaOH concentration gives rise to thick Cu(OH)2 dendrites that turn into coarse CuO plates after the dehydration reaction (Figure 7b–f). It is worth mentioning that the gross growth of Cu(OH)2 or CuO may also cause the cavitation of Cu NWs due to the Kirkendall effect.28 The electrochemical process condition must be carefully controlled to achieve the desired morphology and structural integrity of the spiky CuxO/Cu NWs.

Figure 7.

Figure 7

SEM images of the CuxO/Cu NWs treated in an electrolyte of (a) 0.001, (b) 0.01, (c) 0.05, (d) 0.1, (e) 0.5, and (f) 2 M NaOH after three potential cycling at a scan rate of 2.5 mV/s.

Glucose Sensing Performance of the Spiky CuxO/Cu NW Array Electrode

The self-supporting CuxO/Cu NW array electrode is subject to amperometric measurement for glucose sensing performance evaluation. All the samples were prepared by three potential cycling between +0.6 and −0.7 V at a scan rate of 2.5 mV/s in a 0.1 M NaOH solution. Prior to the glucose response measurements, a CV measurement was performed on the samples in the 0.1 M NaOH electrolyte with different glucose concentrations of 0, 1, 2, and 5 mM (Figure 8a). The oxidation current in the potential range of +0.2 to +0.6 V increases with the glucose concentration. The increase of the oxidation current is mainly ascribed to the transformation of CuO to CuOOH or Cu(OH)4 on the CuO surface, as shown below.2

graphic file with name ao-2019-01730g_m004.jpg 4
graphic file with name ao-2019-01730g_m005.jpg 5

Figure 8.

Figure 8

(a) CV curves of the CuxO/Cu NW array in the 0.1 M NaOH electrolyte with different glucose concentrations. The amperometric response of the CuxO/Cu NW array to the addition of (b) interference species and (c) glucose in the electrolyte at a fixed potential of +0.6 V. (d) Plot of the measured current density versus the added glucose concentration for the CuxO/Cu NW array electrode (the inset shows the amperometric response at lower glucose concentrations).

Because the Cu(III) species, CuOOH and Cu(OH)4, tend to oxidize glucose into gluconolactone in the solution, the measured current is expected to increase with the amount of glucose molecules on the surface of the CuxO/Cu NW array electrode. The amperometric measurement was performed at a fixed potential of +0.6 V with recurrent glucose addition. Prior to the determination of glucose sensing sensitivity, an interference test has been performed to confirm the specificity of the spiky CuxO/Cu NW array electrode to glucose. Several potential interference species were sequentially added during the amperometric measurements. The concentrations of interference species were selected based on their nominal values in human blood. The normal physiological level of glucose is about 3–7 mM in human blood. The concentrations of chloride ions, ascorbic acid (AA), dopamine (DA), and uric acid (UA) are approximately in the range of 1/10–1/20 of the blood glucose concentration.29 By adding 1 mM NaCl and 0.1 mM of UA, AA and DA into the solution sequentially, the current responses to these interference species were barely detectable as compared with that of 1 mM glucose (Figure 8b). Moreover, we also found that the glucose detection limit for the spiky CuxO/Cu NW array electrode is around 10 μM (Figure 8c). By plotting the measured current density versus the added glucose concentration, we can determine the sensitivity of the CuxO/Cu NW array electrode to be around 1300 μA·mM–1·cm–2. If we took the sample-to-sample variation into account, the sensitivity averaged from five different samples is around 1210 ± 124 μA·mM–1·cm–2 (Figure 8d). All the samples exhibit a wide linear range of 0.01–7 mM and a short response time (<1 s).

Table 1 lists the summarized glucose sensing performance of various copper oxide electrodes reported in the literature.12,20,22,3035 It is worth mentioning that the CuxO/Cu NW array electrode in this work may not have the highest sensitivity and the lowest detection limit compared to other works published in the literature.3436 However, the glucose sensor developed in this study indeed shows a widest linear detection range together with a competitively high sensitivity and a low detection limit. Moreover, the chemical stability of the spiky CuxO/Cu NW array electrode is also evaluated after 6 months of storage time. The amperometric responses to glucose addition were measured for the as-fabricated CuxO/Cu NW array electrode and the same sample after keeping in ambient air for 6 months (Figure 9). The CuxO/Cu NW array electrode shows no significant changes in glucose sensing performance and morphology (Figure S3) after long storage in ambient air. The results suggest that the spiky CuxO/Cu nanostructure prepared by the potential cycling treatment not only preserves decent glucose sensing properties but also excellent chemical stability.

Table 1. Summarized Glucose Sensing Performance of Various Copper Oxide Electrodes.

electrode self-supporting electrode sensitivity (μA·mM–1·cm–2) detection limit (μM) linear range (mM) refs
Cu@Cu2O NS-NW coaxial NW no 1420 0.04 na (22)
porous Cu2O microcubes no 70.8 0.8 –0.5 (12)
Cu2O/Cu yes 62.29 37 0.05–6.75 (30)
CuO NWs no 648.2 2 NA (31)
CuO NWs@GCE no 0.49 0.049 0.0004–2 (32)
CuO nanofibers no 431.3 0.8 0.006–2.5 (33)
CuO NWs yes 1886.3 0.05 2–3.56 (34)
candocklike CuO yes 3252 0.6 0.005–2 (35)
CuxO/Cu NPs yes 1620 49 –4 (20)
spiky Cu/CuxO NW array yes 1210 10 0.01–7 this work

Figure 9.

Figure 9

Amperometric response to glucose addition for the as-fabricated CuxO/Cu NW array electrode (red circle) and the same sample after keeping in ambient air for 6 months (blue square).

One of the intriguing findings for the spiky CuxO/Cu NW array is its superior chemical stability, which is likely associated with the conformal Cu2O layer in the Cu/Cu2O/CuO composite nanostructure. We have shown that the Cu2O layer grown on Cu NWs with high-density nanoscale twin boundaries can maintain its structural integrity in ambient air for more than 1 year.37 The twin-modified surface enables the epitaxial growth of Cu2O layer on nanotwinned Cu NWs (same in this study). The epitaxial Cu2O layer will suppress the out-diffusion of Cu cations and prevent continued Cu-oxidation due to lack of fast diffusion paths. Here, the spiky CuO/Cu2O/Cu composite nanostructure was obtained by the potential cycling method. The spiky CuO phase was mainly formed in the first two CV cycles (Figure 4). No significant redox peaks and morphological changes were observed for the spiky CuO/Cu2O/Cu nanostructure after two cycles of potential sweeping (Figure 4). It accounts for why the spiky CuxO/Cu NW array electrode is so stable over a long storage period.

Conclusions

A spiky CuxO/Cu NW array structure prepared by the potential cycling treatment is characterized and evaluated for glucose sensing applications. The growth mechanism of spiky CuxO/Cu NW during the cyclic potential sweeping process is investigated. A careful microstructure examination indicates the Cu/CuxO NW to be a Cu/Cu2O core–shell structure covered by plentiful CuO petals. The spiky CuO preserves abundant active sites to react with glucose molecules, while the metallic Cu core provides a highly conductive path for electrical charges collected during the electrocatalytic oxidation reaction of glucose. The spiky CuxO/Cu NW array electrode demonstrates balanced and competitive glucose sensing performance with a sensitivity of 1210 ± 124 μA·mM–1·cm–2 and a linear detection range of 0.01–7 mM. This study paves a way to produce chemically stable and functional nanostructured Cu oxide through a simple and fast potential cycling method.

Experimental Section

Preparation of the CuxO/Cu NW Array

Copper NWs were deposited into a porous AAO template (60–80 nm in pore size) by pulse-current electrodeposition, which had a Ni layer evaporated at one side to serve as a contact electrode.38 After dissolving the AAO in a NaOH solution, the released Cu NW array evolved into a bush of spiky CuxO/Cu NWs through a potential cycling treatment using an electrochemical working station (CHI602E, CH Instruments). In a standard three-electrode cell, the Cu NW array was connected to the working electrode in conjunction with a Pt counter electrode and a reference SCE. The Cu oxide was grown on the Cu NWs by sweeping the working electrode potential with respect to the SCE from +0.6 to −0.7 V and back to +0.6 V repeatedly at different scan rates and NaOH concentrations in electrolyte.

Microstructure Characterization

X-ray diffractometry (XRD, D2 Phaser, Bruker) was used to analyze the oxide phase and crystal structure of the CuxO/Cu NWs. The sample was glued on a glass substrate for Bragg–Brentano XRD measurements with 2θ angle ranging from 15° to 75°. The morphology and dimension of CuxO/Cu NWs were examined by a field-emission SEM system (SU-8010, Hitachi). Finally, a TEM (JEM-ARM200FTH, JEOL) analysis was performed to reveal the microstructural information of CuxO/Cu NWs. Samples for TEM observation were prepared by separating the CuxO/Cu NWs from the array electrode through ultrasonic vibration in ethanol solution and dispersing the suspension onto a Mo-grid TEM holder (Formvar/Carbon 200 mesh, Ted Pella).

Evaluation of Glucose Sensing Performance

An amperometric measurement was performed by recording the electric current at a fixed potential with consecutive addition of desired amount of glucose solution. The electrolyte used for glucose detection evaluation is 40 mL of 0.1 M NaOH solution with magnetic stirring at a rate of 100 rpm. The electric current was recorded with consecutive glucose addition under a constant potential of +0.6 V (vs SCE) applied on the CuxO/Cu NW array electrode. The measured current shows a stepwise rising profile with time due to the recurrent addition of glucose. The sensitivity and linear range of glucose sensing were obtained from the plot of current density versus glucose concentration. The detection limit and selectivity of glucose sensing were, respectively, determined from the amperometric response to the addition of minimum glucose amount and appropriate dosage of interference species into the solution.

Acknowledgments

The authors acknowledge the support from Ministry of Science and Technology, Taiwan, through the grant MOST 105-2221-E-007-016-MY2 & MOST 107-2221-E-007-009.

Supporting Information Available

The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acsomega.9b01730.

  • Optical images of array electrode samples; TEM images and FFT diffraction pattern of Cu(OH)2; and SEM images of the same CuxO/Cu NW array before and after long ambient storage (PDF)

Author Contributions

The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.

The authors declare no competing financial interest.

Supplementary Material

ao9b01730_si_001.pdf (1.1MB, pdf)

References

  1. Clark L. C.; Lyons C. Electrode systems for continuous monitoring in cardiovascular surgery. Ann. N.Y. Acad. Sci. 2006, 102, 29–45. 10.1111/j.1749-6632.1962.tb13623.x. [DOI] [PubMed] [Google Scholar]
  2. Zhu H.; Li L.; Zhou W.; Shao Z.; Chen X. Advances in non-enzymatic glucose sensors based on metal oxides. J. Mater. Chem. B 2016, 4, 7333–7349. 10.1039/c6tb02037b. [DOI] [PubMed] [Google Scholar]
  3. Yoo E.-H.; Lee S.-Y. Glucose biosensors: an overview of use in clinical practice. Sensors 2010, 10, 4558–4576. 10.3390/s100504558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Park S.; Chung T. D.; Kim H. C. Nonenzymatic glucose detection using mesoporous platinum. Anal. Chem. 2003, 75, 3046–3049. 10.1021/ac0263465. [DOI] [PubMed] [Google Scholar]
  5. Jena B. K.; Raj C. R. Enzyme-Free amperometric sensing of glucose by using gold nanoparticles. Chem. Eur. J. 2006, 12, 2702–2708. 10.1002/chem.200501051. [DOI] [PubMed] [Google Scholar]
  6. Ye J.-S.; Chen C.-W.; Lee C.-L. Pd nanocube as non-enzymatic glucose sensor. Sens. Actuators, B 2015, 208, 569–574. 10.1016/j.snb.2014.11.091. [DOI] [Google Scholar]
  7. Song Y.-Y.; Zhang D.; Gao W.; Xia X.-H. Nonenzymatic glucose detection by using a three-dimensionally ordered, macroporous platinum template. Chem. Eur. J. 2005, 11, 2177–2182. 10.1002/chem.200400981. [DOI] [PubMed] [Google Scholar]
  8. Cherevko S.; Chung C.-H. Gold nanowire array electrode for non-enzymatic voltammetric and amperometric glucose detection. Sens. Actuators, B 2009, 142, 216–223. 10.1016/j.snb.2009.07.023. [DOI] [Google Scholar]
  9. Mu Y.; Jia D.; He Y.; Miao Y.; Wu H.-L. Nano nickel oxide modified non-enzymatic glucose sensors with enhanced sensitivity through an electrochemical process strategy at high potential. Biosens. Bioelectron. 2011, 26, 2948–2952. 10.1016/j.bios.2010.11.042. [DOI] [PubMed] [Google Scholar]
  10. Le W.-Z.; Liu Y.-Q. Preparation of nano-copper oxide modified glassy carbon electrode by a novel film plating/potential cycling method and its characterization. Sens. Actuators, B 2009, 141, 147–153. 10.1016/j.snb.2009.05.037. [DOI] [Google Scholar]
  11. Zhang X.; Wang G.; Liu X.; Wu J.; Li M.; Gu J.; Liu H.; Fang B. Different CuO nanostructures: synthesis, characterization, and applications for glucose sensors. J. Phys. Chem. C 2008, 112, 16845–16849. 10.1021/jp806985k. [DOI] [Google Scholar]
  12. Zhang L.; Li H.; Ni Y.; Li J.; Liao K.; Zhao G. Porous cuprous oxide microcubes for non-enzymatic amperometric hydrogen peroxide and glucose sensing. Electrochem. Commun. 2009, 11, 812–815. 10.1016/j.elecom.2009.01.041. [DOI] [Google Scholar]
  13. Li X.; Yao J.; Liu F.; He H.; Zhou M.; Mao N.; Xiao P.; Zhang Y. Nickel/Copper nanoparticles modified TiO2 nanotubes for non-enzymatic glucose biosensors. Sens. Actuators, B 2013, 181, 501–508. 10.1016/j.snb.2013.02.035. [DOI] [Google Scholar]
  14. Jin Z.; Li P.; Zheng B.; Yuan H.; Xiao D. CuO–Ag2O nanoparticles grown on a AgCuZn alloy substrate in situ for use as a highly sensitive non-enzymatic glucose sensor. Anal. Methods 2014, 6, 2215–2220. 10.1039/c3ay42141d. [DOI] [Google Scholar]
  15. Özcan L.; Şahin Y.; Türk H. Non-enzymatic glucose biosensor based on overoxidized polypyrrole nanofiber electrode modified with cobalt (II) phthalocyanine tetrasulfonate. Biosens. Bioelectron. 2008, 24, 512–517. 10.1016/j.bios.2008.05.004. [DOI] [PubMed] [Google Scholar]
  16. Wang X.; Zhang Y.; Banks C. E.; Chen Q.; Ji X. Non-enzymatic amperometric glucose biosensor based on nickel hexacyanoferrate nanoparticle film modified electrodes. Colloids Surf., B 2010, 78, 363–366. 10.1016/j.colsurfb.2010.03.035. [DOI] [PubMed] [Google Scholar]
  17. Luo D.; Wu L.; Zhi J. Fabrication of boron-doped diamond nanorod forest electrodes and their application in nonenzymatic amperometric glucose biosensing. ACS Nano 2009, 3, 2121–2128. 10.1021/nn9003154. [DOI] [PubMed] [Google Scholar]
  18. Kang X.; Mai Z.; Zou X.; Cai P.; Mo J. A sensitive nonenzymatic glucose sensor in alkaline media with a copper nanocluster/multiwall carbon nanotube-modified glassy carbon electrode. Anal. Biochem. 2007, 363, 143–150. 10.1016/j.ab.2007.01.003. [DOI] [PubMed] [Google Scholar]
  19. Park S.; Boo H.; Chung T. D. Electrochemical non-enzymatic glucose sensors. Anal. Chim. Acta 2006, 556, 46–57. 10.1016/j.aca.2005.05.080. [DOI] [PubMed] [Google Scholar]
  20. Li C.; Su Y.; Zhang S.; Lv X.; Xia H.; Wang Y. An improved sensitivity nonenzymatic glucose biosensor based on a CuxO modified electrode. Biosens. Bioelectron. 2010, 26, 903–907. 10.1016/j.bios.2010.07.007. [DOI] [PubMed] [Google Scholar]
  21. Zhang X.; Sun S.; Lv J.; Tang L.; Kong C.; Song X.; Yang Z. Nanoparticle-aggregated CuO nanoellipsoids for high-performance non-enzymatic glucose detection. J. Mater. Chem. A 2014, 2, 10073–10080. 10.1039/c4ta01005a. [DOI] [Google Scholar]
  22. Zhao Y.; Fan L.; Zhang Y.; Zhao H.; Li X.; Li Y.; Wen L.; Yan Z.; Huo Z. Hyper-Branched Cu@Cu2O coaxial nanowires mesh electrode for ultra-sensitive glucose detection. ACS Appl. Mater. Interfaces 2015, 7, 16802–16812. 10.1021/acsami.5b04614. [DOI] [PubMed] [Google Scholar]
  23. Jow J.-J.; Lee H.-J.; Chen H.-R.; Wu M.-S.; Wei T.-Y. Anodic, cathodic and cyclic voltammetric deposition of ruthenium oxides from aqueous RuCl3 solutions. Electrochim. Acta 2007, 52, 2625–2633. 10.1016/j.electacta.2006.09.018. [DOI] [Google Scholar]
  24. El-Deab M. S.; Awad M. I.; Mohammad A. M.; Ohsaka T. Enhanced water electrolysis: electrocatalytic generation of oxygen gas at manganese oxide nanorods modified electrodes. Electrochem. Commun. 2007, 9, 2082–2087. 10.1016/j.elecom.2007.06.011. [DOI] [Google Scholar]
  25. Sillén L. G.Stability constants of metal-ion complexes; The Chemical Society: London, 1964. [Google Scholar]
  26. Ambrose J.; Barradas R.; Shoesmith D. Investigations of copper in aqueous alkaline solutions by cyclic voltammetry. J. Electroanal. Chem. Interfacial Electrochem. 1973, 47, 47–64. 10.1016/s0022-0728(73)80344-4. [DOI] [Google Scholar]
  27. Cudennec Y.; Lecerf A. The transformation of Cu(OH)2 into CuO, revisited. Solid State Sci. 2003, 5, 1471–1474. 10.1016/j.solidstatesciences.2003.09.009. [DOI] [Google Scholar]
  28. Yin Y.; Rioux R. M.; Erdonmez C. K.; Hughes S.; Somorjai G. A.; Alivisatos A. P. Formation of hollow nanocrystals through the nanoscale Kirkendall effect. Science 2004, 304, 711–714. 10.1126/science.1096566. [DOI] [PubMed] [Google Scholar]
  29. Dong J.; Ren L.; Zhang Y.; Cui X.; Hu P.; Xu J. Direct electrodeposition of cable-like CuO@Cu nanowires array for non-enzymatic sensing. Talanta 2015, 132, 719–726. 10.1016/j.talanta.2014.10.027. [DOI] [PubMed] [Google Scholar]
  30. Wang L.; Fu J.; Hou H.; Song Y. A facile strategy to prepare Cu2O/Cu electrode as a sensitive enzyme-free glucose sensor. Int. J. Electrochem. Sci. 2012, 7, 12587–12600. [Google Scholar]
  31. Zhang Y.; Liu Y.; Su L.; Zhang Z.; Huo D.; Hou C.; Lei Y. CuO nanowires based sensitive and selective non-enzymatic glucose detection. Sens. Actuators, B 2014, 191, 86–93. 10.1016/j.snb.2013.08.096. [DOI] [Google Scholar]
  32. Zhuang Z.; Su X.; Yuan H.; Sun Q.; Xiao D.; Choi M. M. F. An improved sensitivity non-enzymatic glucose sensor based on a CuO nanowire modified Cu electrode. Analyst 2008, 133, 126–132. 10.1039/b712970j. [DOI] [PubMed] [Google Scholar]
  33. Wang W.; Zhang L.; Tong S.; Li X.; Song W. Three-dimensional network films of electrospun copper oxide nanofibers for glucose determination. Biosens. Bioelectron. 2009, 25, 708–714. 10.1016/j.bios.2009.08.013. [DOI] [PubMed] [Google Scholar]
  34. Ni P.; Sun Y.; Shi Y.; Dai H.; Hu J.; Wang Y.; Li Z. Facile fabrication of CuO nanowire modified Cu electrode for non-enzymatic glucose detection with enhanced sensitivity. RSC Adv. 2014, 4, 28842–28847. 10.1039/c4ra03437f. [DOI] [Google Scholar]
  35. Li K.; Fan G.; Yang L. Novel ultrasensitive non-enzymatic glucose sensors based on controlled flower-like CuO hierarchical films. Sens. Actuators, B 2014, 199, 175–182. 10.1016/j.snb.2014.03.095. [DOI] [Google Scholar]
  36. Rahman M. M.; Ahammad A. J. S.; Jin J.-H.; Ahn S. J.; Lee J.-J. A comprehensive review of glucose biosensors based on nanostructured metal-oxides. Sensors 2010, 10, 4855–4886. 10.3390/s100504855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Huang C. L.; Weng W. L.; Huang Y. S.; Liao C. N. Enhanced photolysis stability of Cu2O grown on Cu nanowires with nanoscale twin boundaries. Nanoscale 2019, 10.1039/C9NR01406C. [DOI] [PubMed] [Google Scholar]
  38. Chan T.-C.; Lin Y.-M.; Tsai H.-W.; Wang Z. M.; Liao C.-N.; Chueh Y.-L. Growth of large-scale nanotwinned Cu nanowire arrays from anodic aluminum oxide membrane by electrochemical deposition process: controllable nanotwin density and growth orientation with enhanced electrical endurance performance. Nanoscale 2014, 6, 7332–7338. 10.1039/c3nr06194a. [DOI] [PubMed] [Google Scholar]

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