The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Synthesis of Graphene Oxide Based CuO Nanoparticles Composite Electrode for Highly Enhanced Nonenzymatic Glucose Detection
Abstract
CuO nanoparticles (NPs) based graphene oxide (CuO/GO) composites with different CuO NPs loading amount as well as pure CuO NPs with different hydrothermal temperatures were synthesized using a hydrothermal method. Transmission electron microscopy (TEM), X-ray diffraction (XRD), thermogravimetric analysis (TGA), and Raman spectroscopy were employed to characterize the morphology and structures of our samples. The influence of hydrothermal temperature, GO sheet, and loading amount of CuO on particle size and structure of CuO was systemically investigated. The nonenzymatic biosensing properties of CuO/GO composites and CuO NPs toward glucose were studied based on glassy carbon electrode (GCE). The sensing properties of CuO NPs were improved after loading on GO sheets. The CuO/GO composites with saturated loading of the CuO NPs exhibited the best nonenzymatic biosensing behavior. It exhibited a sensitivity of 262.52 μA mM(-1) cm(-2) to glucose with a 0.69 μM detection limit (S/N = 3) and a linear range from 2.79 μM to 2.03 mM under a working potential of +0.7 V. It also showed outstanding long term stability, good reproducibility, excellent selectivity, and accurate measurement in real serum sample. It is believed that CuO/GO composites show good promise for further application on nonenzymatic glucose biosensors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Large-scale pattern growth of graphene films for stretchable transparent electrodes
Kim, K. S., Zhao, Y., Jang, H., Lee, S. Y., Kim, J. M., Kim, K. S., Ahn, J.-H., Kim, P., Choi, J.-Y., & Hong, B. H. (2009) · Nature · doi:10.1038/nature07719 · Cited by 10,452
Nano-graphene oxide for cellular imaging and drug delivery
Sun, X., Liu, Z., Welsher, K., Robinson, J. T., Goodwin, A., Zaric, S., & Dai, H. (2008) · Nano Research · doi:10.1007/s12274-008-8021-8 · Cited by 3,291
Kovtyukhova, N. I., Ollivier, P. J., Martin, B. R., Mallouk, T. E., Chizhik, S. A., Buzaneva, E. V., & Gorchinskiy, A. D. (1999) · Chemistry of Materials · doi:10.1021/cm981085u · Cited by 3,240
Ni(OH) 2 Nanoplates Grown on Graphene as Advanced Electrochemical Pseudocapacitor Materials
Wang, H., Casalongue, H. S., Liang, Y., & Dai, H. (2010) · Journal of the American Chemical Society · doi:10.1021/ja102267j · Cited by 2,042
Graphene Oxide: Intrinsic Peroxidase Catalytic Activity and Its Application to Glucose Detection
Song, Y., Qu, K., Zhao, C., Ren, J., & Qu, X. (2010) · Advanced Materials · doi:10.1002/adma.200903783 · Cited by 2,024
Biological and chemical sensors based on graphene materials
Liu, Y., Dong, X., & Chen, P. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15270j · Cited by 1,748
Electrochemical Sensing and Biosensing Platform Based on Chemically Reduced Graphene Oxide
Zhou, M., Zhai, Y., & Dong, S. (2009) · Analytical Chemistry · doi:10.1021/ac900136z · Cited by 1,706
Dong, X.-C., Xu, H., Wang, X.-W., Huang, Y.-X., Chan-Park, M. B., Zhang, H., Wang, L.-H., Huang, W., & Chen, P. (2012) · ACS Nano · doi:10.1021/nn300097q · Cited by 1,595
Carbon Nanomaterials in Biosensors: Should You Use Nanotubes or Graphene?
Yang, W., Ratinac, K. R., Ringer, S. P., Thordarson, P., Gooding, J. J., & Braet, F. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200903463 · Cited by 1,431
Electrochemical non-enzymatic glucose sensors
Park, S., Boo, H., & Chung, T. D. (2006) · Analytica Chimica Acta · doi:10.1016/j.aca.2005.05.080 · Cited by 1,159
Kang, X., Mai, Z., Zou, X., Cai, P., & Mo, J. (2007) · Analytical Biochemistry · doi:10.1016/j.ab.2007.01.003 · Cited by 572
The nuclear receptor LXR is a glucose sensor
Mitro, N., Mak, P. A., Vargas, L., Godio, C., Hampton, E., Molteni, V., Kreusch, A., & Saez, E. (2007) · Nature · doi:10.1038/nature05449 · Cited by 524
An improved sensitivity non-enzymatic glucose sensor based on a CuO nanowire modified Cu electrode
Zhuang, Z., Su, X., Yuan, H., Sun, Q., Xiao, D., & Choi, M. M. F. (2008) · The Analyst · doi:10.1039/b712970j · Cited by 481
Nanoelectronic biosensors based on CVD grown graphene
Huang, Y., Dong, X., Shi, Y., Li, C. M., Li, L.-J., & Chen, P. (2010) · Nanoscale · doi:10.1039/c0nr00142b · Cited by 441
Synthesis of CuO nanostructures and their application for nonenzymatic glucose sensing
Wang, X., Hu, C., Liu, H., Du, G., He, X., & Xi, Y. (2010) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2009.09.067 · Cited by 415
Wang, B., Wu, X.-L., Shu, C.-Y., Guo, Y.-G., & Wang, C.-R. (2010) · Journal of Materials Chemistry · doi:10.1039/c0jm01941k · Cited by 414
CuO/graphene composite as anode materials for lithium-ion batteries
Mai, Y. J., Wang, X. L., Xiang, J. Y., Qiao, Y. Q., Zhang, D., Gu, C. D., & Tu, J. P. (2011) · Electrochimica Acta · doi:10.1016/j.electacta.2010.11.036 · Cited by 404
Gao, H., Xiao, F., Ching, C. B., & Duan, H. (2011) · ACS Applied Materials & Interfaces · doi:10.1021/am200563f · Cited by 383
Jiang, H. (2011) · Small · doi:10.1002/smll.201002352 · Cited by 302
A Conducting Polymer Nanojunction Sensor for Glucose Detection
Forzani, E. S., Zhang, H., Nagahara, L. A., Amlani, I., Tsui, R., & Tao, N. (2004) · Nano Letters · doi:10.1021/nl049080l · Cited by 293
Lu, L.-M., Li, H.-B., Qu, F., Zhang, X.-B., Shen, G.-L., & Yu, R.-Q. (2011) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2011.01.033 · Cited by 277
Shamsipur, M., Najafi, M., & Hosseini, M.-R. M. (2010) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2009.07.007 · Cited by 251
Claussen, J. C., Kumar, A., Jaroch, D. B., Khawaja, M. H., Hibbard, A. B., Porterfield, D. M., & Fisher, T. S. (2012) · Advanced Functional Materials · doi:10.1002/adfm.201200551 · Cited by 236
Luo, L., Zhu, L., & Wang, Z. (2012) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2012.03.006 · Cited by 226
Preparation of functionalized copper nanoparticles and fabrication of a glucose sensor
Xu, Q., Zhao, Y., Xu, J. Z., & Zhu, J.-J. (2006) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2005.06.005 · Cited by 214
Zhao, Y., Song, X., Song, Q., & Yin, Z. (2012) · CrystEngComm · doi:10.1039/c2ce25509j · Cited by 208
Thermal Inactivation of Glucose Oxidase
Gouda, M. D., Singh, S. A., Rao, A. G. A., Thakur, M. S., & Karanth, N. G. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m208711200 · Cited by 191
A novel amperometric biosensor based on NiO hollow nanospheres for biosensing glucose
Li, C., Liu, Y., Li, L., Du, Z., Xu, S., Zhang, M., Yin, X., & Wang, T. (2008) · Talanta · doi:10.1016/j.talanta.2008.06.048 · Cited by 184
Archetypal sandwich-structured CuO for high performance non-enzymatic sensing of glucose
Meher, S. K., & Rao, G. R. (2013) · Nanoscale · doi:10.1039/c2nr33264g · Cited by 182
Synthesis of Potassium‐Modified Graphene and Its Application in Nitrite‐Selective Sensing
Li, X., Kong, F., Liu, J., Liang, T., Xu, J., & Chen, H. (2012) · Advanced Functional Materials · doi:10.1002/adfm.201103025 · Cited by 111
Hrapovic, S., & Luong, J. H. T. (2003) · Analytical Chemistry · doi:10.1021/ac026438u · Cited by 106
Cited by
A review on graphene-based nanocomposites for electrochemical and fluorescent biosensors
Krishnan, S. K., Singh, E., Singh, P., Meyyappan, M., & Nalwa, H. S. (2019) · RSC Advances · doi:10.1039/c8ra09577a · Cited by 785
Electrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
Meng, Z., Stolz, R. M., Mendecki, L., & Mirica, K. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00311 · Cited by 773
Wongkaew, N., Simsek, M., Griesche, C., & Baeumner, A. J. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00172 · Cited by 657
Nanomaterials-based biosensor and their applications: A review
Malik, S., Singh, J., Goyat, R., Saharan, Y., Chaudhry, V., Umar, A., Ibrahim, A. A., Akbar, S., Ameen, S., & Baskoutas, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e19929 · Cited by 441
Singh, D. P., Herrera, C. E., Singh, B., Singh, S., Singh, R. K., & Kumar, R. (2018) · Materials Science and Engineering: C · doi:10.1016/j.msec.2018.01.004 · Cited by 313
Metadata
- Authors
- Song, J., Xu, L., Zhou, C., Xing, R., Dai, Q., Liu, D., & Song, H.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-12-13
- Volume
- 5
- Issue
- 24
- Pages
- 12928-12934
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2320637457
- Cited by
- 295
- References
- 33
- FWCI
- 13.38
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.