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Journal articles on the topic 'Non-enzymatic glucose sensing'

Author: Grafiati

Published: 6 September 2023

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1

Wang, Guangfeng, Xiuping He, Lingling Wang, Aixia Gu, Yan Huang, Bin Fang, Baoyou Geng, and Xiaojun Zhang. "Non-enzymatic electrochemical sensing of glucose." Microchimica Acta 180, no. 3-4 (December 21, 2012): 161–86. http://dx.doi.org/10.1007/s00604-012-0923-1.

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2

Hassan, Mohamed H., Cian Vyas, Bruce Grieve, and Paulo Bartolo. "Recent Advances in Enzymatic and Non-Enzymatic Electrochemical Glucose Sensing." Sensors 21, no. 14 (July 8, 2021): 4672. http://dx.doi.org/10.3390/s21144672.

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The detection of glucose is crucial in the management of diabetes and other medical conditions but also crucial in a wide range of industries such as food and beverages. The development of glucose sensors in the past century has allowed diabetic patients to effectively manage their disease and has saved lives. First-generation glucose sensors have considerable limitations in sensitivity and selectivity which has spurred the development of more advanced approaches for both the medical and industrial sectors. The wide range of application areas has resulted in a range of materials and fabrication techniques to produce novel glucose sensors that have higher sensitivity and selectivity, lower cost, and are simpler to use. A major focus has been on the development of enzymatic electrochemical sensors, typically using glucose oxidase. However, non-enzymatic approaches using direct electrochemistry of glucose on noble metals are now a viable approach in glucose biosensor design. This review discusses the mechanisms of electrochemical glucose sensing with a focus on the different generations of enzymatic-based sensors, their recent advances, and provides an overview of the next generation of non-enzymatic sensors. Advancements in manufacturing techniques and materials are key in propelling the field of glucose sensing, however, significant limitations remain which are highlighted in this review and requires addressing to obtain a more stable, sensitive, selective, cost efficient, and real-time glucose sensor.

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3

Tee, Si Yin, Choon Peng Teng, and Enyi Ye. "Metal nanostructures for non-enzymatic glucose sensing." Materials Science and Engineering: C 70 (January 2017): 1018–30. http://dx.doi.org/10.1016/j.msec.2016.04.009.

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4

Thatikayala, Dayakar, Deepalekshmi Ponnamma, Kishor Sadasivuni, John-John Cabibihan, Abdulaziz Al-Ali, Rayaz Malik, and Booki Min. "Progress of Advanced Nanomaterials in the Non-Enzymatic Electrochemical Sensing of Glucose and H2O2." Biosensors 10, no. 11 (October 22, 2020): 151. http://dx.doi.org/10.3390/bios10110151.

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Non-enzymatic sensing has been in the research limelight, and most sensors based on nanomaterials are designed to detect single analytes. The simultaneous detection of analytes that together exist in biological organisms necessitates the development of effective and efficient non-enzymatic electrodes in sensing. In this regard, the development of sensing elements for detecting glucose and hydrogen peroxide (H2O2) is significant. Non-enzymatic sensing is more economical and has a longer lifetime than enzymatic electrochemical sensing, but it has several drawbacks, such as high working potential, slow electrode kinetics, poisoning from intermediate species and weak sensing parameters. We comprehensively review the recent developments in non-enzymatic glucose and H2O2 (NEGH) sensing by focusing mainly on the sensing performance, electro catalytic mechanism, morphology and design of electrode materials. Various types of nanomaterials with metal/metal oxides and hybrid metallic nanocomposites are discussed. A comparison of glucose and H2O2 sensing parameters using the same electrode materials is outlined to predict the efficient sensing performance of advanced nanomaterials. Recent innovative approaches to improve the NEGH sensitivity, selectivity and stability in real-time applications are critically discussed, which have not been sufficiently addressed in the previous reviews. Finally, the challenges, future trends, and prospects associated with advanced nanomaterials for NEGH sensing are considered. We believe this article will help to understand the selection of advanced materials for dual/multi non-enzymatic sensing issues and will also be beneficial for researchers to make breakthrough progress in the area of non-enzymatic sensing of dual/multi biomolecules.

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5

Mahmoud, Amira, Mosaab Echabaane, Karim Omri, Julien Boudon, Lucien Saviot, Nadine Millot, and Rafik Ben Chaabane. "Cu-Doped ZnO Nanoparticles for Non-Enzymatic Glucose Sensing." Molecules 26, no. 4 (February 10, 2021): 929. http://dx.doi.org/10.3390/molecules26040929.

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Copper-doped zinc oxide nanoparticles (NPs) CuxZn1−xO (x = 0, 0.01, 0.02, 0.03, and 0.04) were synthesized via a sol-gel process and used as an active electrode material to fabricate a non-enzymatic electrochemical sensor for the detection of glucose. Their structure, composition, and chemical properties were characterized using X-ray diffraction (XRD), transmission electron microscopy (TEM), Fourier-transform infrared (FTIR) and Raman spectroscopies, and zeta potential measurements. The electrochemical characterization of the sensors was studied using cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and differential pulse voltammetry (DPV). Cu doping was shown to improve the electrocatalytic activity for the oxidation of glucose, which resulted from the accelerated electron transfer and greatly improved electrochemical conductivity. The experimental conditions for the detection of glucose were optimized: a linear dependence between the glucose concentration and current intensity was established in the range from 1 nM to 100 μM with a limit of detection of 0.7 nM. The proposed sensor exhibited high selectivity for glucose in the presence of various interfering species. The developed sensor was also successfully tested for the detection of glucose in human serum samples.

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6

Luo, Xi, Zijun Zhang, Qijin Wan, Kangbing Wu, and Nianjun Yang. "Lithium-doped NiO nanofibers for non-enzymatic glucose sensing." Electrochemistry Communications 61 (December 2015): 89–92. http://dx.doi.org/10.1016/j.elecom.2015.10.005.

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7

Sun, Feng-chao, Jing-tong Zhang, Hao Ren, Shu-tao Wang, Yan Zhou, and Jun Zhang. "“Dry” NiCo2O4 nanorods for electrochemical non-enzymatic glucose sensing." Chinese Journal of Chemical Physics 31, no. 6 (December 2018): 799–805. http://dx.doi.org/10.1063/1674-0068/31/cjcp1804061.

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8

Chiu, Wan-Ting, Tso-Fu Mark Chang, Masato Sone, Hideki Hosoda, Agnès Tixier-Mita, and Hiroshi Toshiyoshi. "Developments of the Electroactive Materials for Non-Enzymatic Glucose Sensing and Their Mechanisms." Electrochem 2, no. 2 (June 21, 2021): 347–89. http://dx.doi.org/10.3390/electrochem2020025.

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A comprehensive review of the electroactive materials for non-enzymatic glucose sensing and sensing devices has been performed in this work. A general introduction for glucose sensing, a facile electrochemical technique for glucose detection, and explanations of fundamental mechanisms for the electro-oxidation of glucose via the electrochemical technique are conducted. The glucose sensing materials are classified into five major systems: (1) mono-metallic materials, (2) bi-metallic materials, (3) metallic-oxide compounds, (4) metallic-hydroxide materials, and (5) metal-metal derivatives. The performances of various systems within this decade have been compared and explained in terms of sensitivity, linear regime, the limit of detection (LOD), and detection potentials. Some promising materials and practicable methodologies for the further developments of glucose sensors have been proposed. Firstly, the atomic deposition of alloys is expected to enhance the selectivity, which is considered to be lacking in non-enzymatic glucose sensing. Secondly, by using the modification of the hydrophilicity of the metallic-oxides, a promoted current response from the electro-oxidation of glucose is expected. Lastly, by taking the advantage of the redistribution phenomenon of the oxide particles, the usage of the noble metals is foreseen to be reduced.

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9

Wei, Ming, Yanxia Qiao, Haitao Zhao, Jie Liang, Tingshuai Li, Yonglan Luo, Siyu Lu, Xifeng Shi, Wenbo Lu, and Xuping Sun. "Electrochemical non-enzymatic glucose sensors: recent progress and perspectives." Chemical Communications 56, no. 93 (2020): 14553–69. http://dx.doi.org/10.1039/d0cc05650b.

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This review summarizes recent advances in the development of electrocatalysts for non-enzymatic glucose detection. The sensing mechanism and influencing factors are discussed, and the perspectives and challenges are also addressed.

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10

Lin, Yu-Hsuan, Chandrasekar Sivakumar, Babu Balraj, Gowtham Murugesan, Senthil Kumar Nagarajan, and Mon-Shu Ho. "Ag-Decorated Vertically Aligned ZnO Nanorods for Non-Enzymatic Glucose Sensor Applications." Nanomaterials 13, no. 4 (February 17, 2023): 754. http://dx.doi.org/10.3390/nano13040754.

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The non-enzymatic glucose sensing response of pure and Ag-decorated vertically aligned ZnO nanorods grown on Si substrates was investigated. The simple low-temperature hydrothermal method was employed to synthesize the ZnO NRs on the Si substrates, and then Ag decoration was achieved by sputtering. The crystal structure and surface morphologies were characterized by X-ray diffraction, field-emission scanning electron microscopy (FESEM), and transmission electron microscopy (TEM). The Ag incorporation on the ZnO NR surfaces was confirmed using EDS mapping and spectra. Furthermore, the chemical states, the variation in oxygen vacancies, and the surface modifications of Ag@ZnO were investigated by XPS analysis. Both the glucose/ZnO/Si and glucose/Ag@ZnO/Si device structures were investigated for their non-enzymatic glucose sensing performances with different glucose concentrations. Based on EIS measurements and amperometric analysis, the Ag@ZnO-NR-based glucose sensor device exhibited a better sensing ability with excellent stability over time than pure ZnO NRs. The Ag@ZnO NR glucose sensor device recorded 2792 µA/(mM·cm2) sensitivity with a lowest detection limit of 1.29 µM.

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11

Jemal Kassim Ebrahim. "Review on non-enzymatic electrochemical glucose sensor of hybrid nanostructure materials." Magna Scientia Advanced Research and Reviews 1, no. 2 (February 28, 2021): 01–017. http://dx.doi.org/10.30574/msarr.2021.1.2.0028.

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This review made on the progress of five years non-enzymatic electrochemical sensing of glucose. Following a brief discussion of the merits and limitations of enzymatic glucose sensors, we discuss the history of unraveling the mechanism of direct oxidation of glucose and theories of non-enzymatic electro-catalysis. And also we discussed non-enzymatic glucose electrodes based on the use of the metals (platinum, gold, nickel, copper, of alloys and bimetals, of carbon material), and of metal-metal oxides and some electrochemical techniques which are used to analyze different real samples according to their techniques of analysis as well a show of different sensors are produce signals from the analyte of interest.

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12

Khan, Marya, Vandana Nagal, Umesh T. Nakate, Mohammad Rizwan Khan, Ajit Khosla, and Rafiq Ahmad. "Engineered CuO Nanofibers with Boosted Non-Enzymatic Glucose Sensing Performance." Journal of The Electrochemical Society 168, no. 6 (June 1, 2021): 067507. http://dx.doi.org/10.1149/1945-7111/ac030d.

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13

Pötzelberger, Isabella, Andrei Ionut Mardare, and Achim Walter Hassel. "Non-enzymatic glucose sensing on copper-nickel thin film alloy." Applied Surface Science 417 (September 2017): 48–53. http://dx.doi.org/10.1016/j.apsusc.2016.12.193.

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14

Unmüssig, Tobias, Andreas Weltin, Sebastian Urban, Patrick Daubinger, Gerald A. Urban, and Jochen Kieninger. "Non-enzymatic glucose sensing based on hierarchical platinum micro-/nanostructures." Journal of Electroanalytical Chemistry 816 (May 2018): 215–22. http://dx.doi.org/10.1016/j.jelechem.2018.03.061.

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15

Prasad, Raghavendra, and Badekai Ramachandra Bhat. "Self-assembly synthesis of Co3O4/multiwalled carbon nanotube composites: an efficient enzyme-free glucose sensor." New Journal of Chemistry 39, no. 12 (2015): 9735–42. http://dx.doi.org/10.1039/c5nj01447f.

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16

Dong, Min, Hong Li Hu, and Yu Lie Duan. "Preparation of Non-Enzymatic Glucose Sensing Nanocomposite Based on NiCo<sub>2</sub>O<sub>4</sub> Nanosheets@ Reduced Graphene Oxide and Design of Glucose Detection System." Solid State Phenomena 330 (April 12, 2022): 145–52. http://dx.doi.org/10.4028/p-w34a36.

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A non-enzymatic glucose sensing nanomaterial which consists of the NiCo2O4 nanosheets grown on reduced graphene oxide (NiCo2O4@rGO) is synthesized by a simple co-precipitation procedure. Firstly, the morphology and composition of the NiCo2O4@rGO are analyzed. Subsequently, the glucose sensing characteristics of the NiCo2O4@rGO are researched by Cyclic Voltammetry and Amperometry. The test results show that the prepared NiCo2O4@rGO has excellent glucose sensing properties. In the two linear detection range of 0.01mM-5.50mM and 5.50mM-15.50mM, the sensitivity reaches 4372.9μA·mM-1cm-2 and 1686.1μA·mM-1cm-2, respectively. In addition, in order to reduce the cost of electrochemical testing and improve the convenience and practicability of detection, a portable potentiostatic glucose detection system based on three electrodes is designed. Through testing, it is found that the non-enzymatic glucose detection system based on NiCo2O4@rGO has good practical application potential in the field of glucose detection.

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17

Yan, Xiaoyi, Yue Gu, Cong Li, Bo Zheng, Yaru Li, Tingting Zhang, Zhiquan Zhang, and Ming Yang. "A non-enzymatic glucose sensor based on the CuS nanoflakes–reduced graphene oxide nanocomposite." Analytical Methods 10, no. 3 (2018): 381–88. http://dx.doi.org/10.1039/c7ay02290e.

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18

Arivazhagan, Mani, Yesupatham Manova Santhosh, and Govindhan Maduraiveeran. "Non-Enzymatic Glucose Detection Based on NiS Nanoclusters@NiS Nanosphere in Human Serum and Urine." Micromachines 12, no. 4 (April 5, 2021): 403. http://dx.doi.org/10.3390/mi12040403.

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Herein, we report a non-enzymatic electrochemical glucose sensing platform based on NiS nanoclusters dispersed on NiS nanosphere (NC-NiS@NS-NiS) in human serum and urine samples. The NC-NiS@NS-NiS are directly grown on nickel foam (NF) (NC-NiS@NS-NiS|NF) substrate by a facile, and one-step electrodeposition strategy under acidic solution. The as-developed nanostructured NC-NiS@NS-NiS|NF electrode materials successfully employ as the enzyme-mimic electrocatalysts toward the improved electrocatalytic glucose oxidation and sensitive glucose sensing. The NC-NiS@NS-NiS|NF electrode presents an outstanding electrocatalytic activity and sensing capability towards the glucose owing to the attribution of great double layer capacitance, excessive electrochemical active surface area (ECASA), and high electrochemical active sites. The present sensor delivers a limit of detection (LOD) of ~0.0083 µM with a high sensitivity of 54.6 µA mM−1 cm−2 and a wide linear concentration range (20.0 µM–5.0 mM). The NC-NiS@NS-NiS|NF-based sensor demonstrates the good selectivity against the potential interferences and shows high practicability by glucose sensing in human urine and serum samples.

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19

Mondal, Shrabani, Rashmi Madhuri, and Prashant K. Sharma. "Probing the shape-specific electrochemical properties of cobalt oxide nanostructures for their application as selective and sensitive non-enzymatic glucose sensors." Journal of Materials Chemistry C 5, no. 26 (2017): 6497–505. http://dx.doi.org/10.1039/c7tc01411b.

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20

Sutradhar, Sanjeeb, and Archita Patnaik. "A new fullerene-C60 – Nanogold composite for non-enzymatic glucose sensing." Sensors and Actuators B: Chemical 241 (March 2017): 681–89. http://dx.doi.org/10.1016/j.snb.2016.10.111.

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21

Liu, Xiangjian, Wenxiu Yang, Lulu Chen, and Jianbo Jia. "Synthesis of copper nanorods for non-enzymatic amperometric sensing of glucose." Microchimica Acta 183, no. 8 (May 26, 2016): 2369–75. http://dx.doi.org/10.1007/s00604-016-1878-4.

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22

Taşaltın, Nevin, Cihat Taşaltın, Selcan Karakuş, and Ayben Kilislioğlu. "Cu core shell nanosphere based electrochemical non-enzymatic sensing of glucose." Inorganic Chemistry Communications 118 (August 2020): 107991. http://dx.doi.org/10.1016/j.inoche.2020.107991.

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23

Wang, Qi, Palaniappan Subramanian, Musen Li, Weng Siang Yeap, Ken Haenen, Yannick Coffinier, Rabah Boukherroub, and Sabine Szunerits. "Non-enzymatic glucose sensing on long and short diamond nanowire electrodes." Electrochemistry Communications 34 (September 2013): 286–90. http://dx.doi.org/10.1016/j.elecom.2013.07.014.

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24

Mai, Hong Hanh, Van Thanh Pham, Viet Tuyen Nguyen, Cong Doanh Sai, Chi Hieu Hoang, and The Binh Nguyen. "Non-enzymatic Fluorescent Biosensor for Glucose Sensing Based on ZnO Nanorods." Journal of Electronic Materials 46, no. 6 (February 1, 2017): 3714–19. http://dx.doi.org/10.1007/s11664-017-5300-8.

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25

Tomanin, Pietro Pacchin, Pavel V. Cherepanov, Quinn A. Besford, Andrew J. Christofferson, Alessia Amodio, Chris F. McConville, Irene Yarovsky, Frank Caruso, and Francesca Cavalieri. "Cobalt Phosphate Nanostructures for Non-Enzymatic Glucose Sensing at Physiological pH." ACS Applied Materials & Interfaces 10, no. 49 (November 13, 2018): 42786–95. http://dx.doi.org/10.1021/acsami.8b12966.

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26

Zhai, Y. J., J. H. Li, X. Y. Chu, M. Z. Xu, F. J. Jin, X. Li, X. Fang, Z. P. Wei, and X. H. Wang. "MoS2 microflowers based electrochemical sensing platform for non-enzymatic glucose detection." Journal of Alloys and Compounds 672 (July 2016): 600–608. http://dx.doi.org/10.1016/j.jallcom.2016.02.130.

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27

Chattopadhyay, Surojit, Mau-Shiun Li, Pradip Kumar Roy, and C. T. Wu. "Non-enzymatic glucose sensing by enhanced Raman spectroscopy on flexible ‘as-grown’ CVD graphene." Analyst 140, no. 12 (2015): 3935–41. http://dx.doi.org/10.1039/c5an00546a.

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Unmodified, as-grown few layer graphene (on copper) have been used for glucose sensing using Raman spectroscopy. The origin of the graphene enhanced Raman spectroscopy (GERS) signal of glucose is attributed to a charge transfer from glucose to graphene.

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28

Osuna, Velia, Alejandro Vega-Rios, Erasto Armando Zaragoza-Contreras, Iván Alziri Estrada-Moreno, and Rocio B. Dominguez. "Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection." Biosensors 12, no. 3 (February 22, 2022): 137. http://dx.doi.org/10.3390/bios12030137.

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Glucose measurement is a fundamental tool in the daily care of Diabetes Mellitus (DM) patients and healthcare professionals. While there is an established market for glucose sensors, the rising number of DM cases has promoted intensive research to provide accurate systems for glucose monitoring. Polyaniline (PAni) is a conductive polymer with a linear conjugated backbone with sequences of single C–C and double C=C bonds. This unique structure produces attractive features for the design of sensing systems such as conductivity, biocompatibility, environmental stability, tunable electrochemical properties, and antibacterial activity. PAni-based glucose sensors (PBGS) were actively developed in past years, using either enzymatic or non-enzymatic principles. In these devices, PAni played roles as a conductive material for electron transfer, biocompatible matrix for enzymatic immobilization, or sensitive layer for detection. In this review, we covered the development of PBGS from 2015 to the present, and it is not even exhaustive; it provides an overview of advances and achievements for enzymatic and non-enzymatic PBGB PBGS for self-monitoring and continuous blood glucose monitoring. Additionally, the limitations of PBGB PBGS to advance into robust and stable technology and the challenges associated with their implementation are presented and discussed.

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29

Davison, Nicholas B., Christopher J. Gaffney, Jemma G. Kerns, and Qiandong D. Zhuang. "Recent Progress and Perspectives on Non-Invasive Glucose Sensors." Diabetology 3, no. 1 (January 12, 2022): 56–71. http://dx.doi.org/10.3390/diabetology3010005.

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Self-monitoring of blood glucose forms an important part of the management of diabetes and the prevention of hyperglycaemia and hypoglycaemia. Current glucose monitoring methods either use needle-prick enzymatic glucose-meters or subcutaneous continuous glucose sensors (CGM) and thus, non-invasive glucose measurements could greatly improve the self-management of diabetes. A wide range of non-invasive sensing techniques have been reported, though achieving a level of precision comparable to invasive meters remains a challenge. Optical sensors, which utilise the interactions between glucose and light, offer the potential for non-invasive continuous sensing, allowing real-time monitoring of glucose levels, and a range of different optical sensing technologies have been proposed. These are primarily based upon optical absorption and scattering effects and include infrared spectroscopy, Raman spectroscopy and optical coherence tomography (OCT), with other optical techniques such as photoacoustic spectroscopy (PAS) and polarimetry also reported. This review aims to discuss the current progress behind the most reported optical glucose sensing methods, theory and current limitations of optical sensing methods and the future technology development required to achieve an accurate optical-based glucose monitoring device.

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30

Wang, Qi, Qi Jia, Peng Hu, and Liudi Ji. "Tunable Non-Enzymatic Glucose Electrochemical Sensing Based on the Ni/Co Bimetallic MOFs." Molecules 28, no. 15 (July 26, 2023): 5649. http://dx.doi.org/10.3390/molecules28155649.

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Constructing high-performance glucose sensors is of great significance for the prevention and diagnosis of diabetes, and the key is to develop new sensitive materials. In this paper, a series of Ni2Co1-L MOFs (L = H2BPDC: 4,4′-biphenyldicarboxylic acid; H2NDC: 2,6-naphthalenedicarboxylic acid; H2BDC: 1,4-benzenedicarboxylic acid) were synthesized by a room temperature stirring method. The effects of metal centers and ligands on the structure, compositions, electrochemical properties of the obtained Ni2Co1-L MOFs were characterized, indicating the successful preparation of layered MOFs with different sizes, stacking degrees, electrochemical active areas, numbers of exposed active sites, and glucose catalytic activity. Among them, Ni2Co1-BDC exhibits a relatively thin and homogeneous plate-like morphology, and the Ni2Co1-BDC modified glassy carbon electrode (Ni2Co1-BDC/GCE) has the highest electrochemical performance. Furthermore, the mechanism of the enhanced glucose oxidation signal was investigated. It was shown that glucose has a higher electron transfer capacity and a larger apparent catalytic rate constant on the Ni2Co1-BDC/GCE surface. Therefore, tunable non-enzymatic glucose electrochemical sensing was carried out by regulating the metal centers and ligands. As a result, a high-sensitivity enzyme-free glucose sensing platform was successfully constructed based on the Ni2Co1-BDC/GCE, which has a wide linear range of 0.5–2899.5 μM, a low detection limit of 0.29 μM (S/N = 3), and a high sensitivity of 3925.3 μA mM−1 cm−2. Much more importantly, it was also successfully applied to the determination of glucose in human serum with satisfactory results, demonstrating its potential for glucose detection in real samples.

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Liu, Yiwei, Xiaoqin Cao, Rongmei Kong, Gu Du, Abdullah M. Asiri, Qun Lu, and Xuping Sun. "Cobalt phosphide nanowire array as an effective electrocatalyst for non-enzymatic glucose sensing." Journal of Materials Chemistry B 5, no. 10 (2017): 1901–4. http://dx.doi.org/10.1039/c6tb02882a.

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A cobalt phosphide nanowire array was grownin situon titanium mesh, exhibiting high catalytic activity towards electrooxidation of glucose, and offering a non-enzymatic electrochemical glucose sensor with remarkable selectivity and long-term stability.

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32

Lu, Wenbo, and Xiufeng Wu. "Ni-MOF nanosheet arrays: efficient non-noble-metal electrocatalysts for non-enzymatic monosaccharide sensing." New Journal of Chemistry 42, no. 5 (2018): 3180–83. http://dx.doi.org/10.1039/c7nj04754a.

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33

Zhang, Li, Yaru Ding, Ranran Li, Chen Ye, Guangyu Zhao, and Yan Wang. "Ni-Based metal–organic framework derived Ni@C nanosheets on a Ni foam substrate as a supersensitive non-enzymatic glucose sensor." Journal of Materials Chemistry B 5, no. 28 (2017): 5549–55. http://dx.doi.org/10.1039/c7tb01363a.

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34

Gumilar, Gilang, Yusuf Valentino Kaneti, Joel Henzie, Sauvik Chatterjee, Jongbeom Na, Brian Yuliarto, Nugraha Nugraha, Aep Patah, Asim Bhaumik, and Yusuke Yamauchi. "General synthesis of hierarchical sheet/plate-like M-BDC (M = Cu, Mn, Ni, and Zr) metal–organic frameworks for electrochemical non-enzymatic glucose sensing." Chemical Science 11, no. 14 (2020): 3644–55. http://dx.doi.org/10.1039/c9sc05636j.

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35

Liu, Sen, Ziying Wang, Fengjiao Wang, Bo Yu, and Tong Zhang. "High surface area mesoporous CuO: a high-performance electrocatalyst for non-enzymatic glucose biosensing." RSC Adv. 4, no. 63 (2014): 33327–31. http://dx.doi.org/10.1039/c4ra04700a.

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36

Vinoth, S., P. Mary Rajaitha, A. Venkadesh, K. S. Shalini Devi, S. Radhakrishnan, and A. Pandikumar. "Nickel sulfide-incorporated sulfur-doped graphitic carbon nitride nanohybrid interface for non-enzymatic electrochemical sensing of glucose." Nanoscale Advances 2, no. 9 (2020): 4242–50. http://dx.doi.org/10.1039/d0na00172d.

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37

Li, Changli, Mario Kurniawan, Dali Sun, Hitoshi Tabata, and Jean-Jacques Delaunay. "Nanoporous CuO layer modified Cu electrode for high performance enzymatic and non-enzymatic glucose sensing." Nanotechnology 26, no. 1 (December 10, 2014): 015503. http://dx.doi.org/10.1088/0957-4484/26/1/015503.

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38

He, Jia Hong, Qiang Xu, Zhi Qiang Gao, and Zhong Rong Song. "An Improved Sensitivity Non-Enzymatic Glucose Sensor Based on a Nano-Gold Modified Ag Electrode." Key Engineering Materials 503 (February 2012): 427–31. http://dx.doi.org/10.4028/www.scientific.net/kem.503.427.

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A non-enzymatic glucose sensor based on nano-gold modified Ag electrode was fabricated by two steps. Gold colloid were firstly prepared according to the literature[11] and then a carefully cleaned Ag electrode was dipped into the gold colloid to obtain the non-enzymatic glucose sensor. The structures and morphologies of nano-gold colloid and nano-Au modified electrode were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), and UV-Vis absorption spectra. The direct electrocatalytic oxidation of glucose in alkaline medium at this modified electrode has been investigated in detail. The result showed that the nano-gold modified electrode had good current response to glucose. The oxidation current was linearly related to the concentration of glucose range frome 0.2 to 175.2μmol/L with a detection limit of 29.5 nmol/L. The nano-gold modified electrode allows highly sensitive, low working potential, fast amperometric sensing of glucose, thus is promising for the future development of non-enzymatic glucose sensors.

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39

Chen, Junli, Haoyong Yin, Shumin Zhao, Jianying Gong, Zhenguo Ji, Qiulin Nie, and Ling Wang. "Construction of highly efficient non-enzymatic glucose sensors based on micro-spherical Ni-metal-organic frameworks." Functional Materials Letters 13, no. 05 (June 23, 2020): 2050022. http://dx.doi.org/10.1142/s1793604720500228.

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The Ni-metal-organic frameworks microspheres (Ni-BTC) were prepared and used directly to construct non-enzymatic glucose sensors. The Ni-BTC sensors displayed much higher glucose sensing performance than that of Ni-MOFs derived NiO, which showed wide detection regions of 5–3000[Formula: see text][Formula: see text]M and 3500–6000[Formula: see text][Formula: see text]M with the sensitivity of 932.68[Formula: see text][Formula: see text]A[Formula: see text]mM[Formula: see text]cm[Formula: see text] and 273.04[Formula: see text][Formula: see text]A[Formula: see text]mM[Formula: see text]cm[Formula: see text], respectively. Moreover, it also displayed good selectivity and favorable sensing feasibility for serum analysis. The high performance of the non-enzymatic glucose detection on Ni-BTC may be due to the highly efficient charge transfers during the electrocatalytic glucose oxidation process.

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40

Cheng, Siyi, Xiang Gao, Steven DelaCruz, Chen Chen, Zirong Tang, Tielin Shi, Carlo Carraro, and Roya Maboudian. "In situ formation of metal–organic framework derived CuO polyhedrons on carbon cloth for highly sensitive non-enzymatic glucose sensing." Journal of Materials Chemistry B 7, no. 32 (2019): 4990–96. http://dx.doi.org/10.1039/c9tb01166h.

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41

Naik, Kusha Kumar, Suresh Kumar, and Chandra Sekhar Rout. "Electrodeposited spinel NiCo2O4 nanosheet arrays for glucose sensing application." RSC Advances 5, no. 91 (2015): 74585–91. http://dx.doi.org/10.1039/c5ra13833g.

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Non-enzymatic glucose sensing properties of NiCo₂O₄ nanosheets show linear response with respect to the change in glucose concentration varying from 5 to 65 μM and exhibit the sensitivity value of 6.69 μA μM⁻¹ cm⁻² with a LOD value of 0.38 μM.

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42

Xu, Xuejuan, Yuchi Zhang, Yide Han, Junbiao Wu, Xia Zhang, and Yan Xu. "A hierarchical hollow Ni/Co-functionalized MoS2 architecture with highly sensitive non-enzymatic glucose sensing activity." Dalton Transactions 50, no. 29 (2021): 10059–66. http://dx.doi.org/10.1039/d1dt01406d.

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43

Guo, Qiaohui, Man Zhang, Xia Li, Xinrui Li, Haoran Li, Yuanjie Lu, Xiaoxi Song, and Li Wang. "A novel CuO/TiO2 hollow nanofiber film for non-enzymatic glucose sensing." RSC Advances 6, no. 102 (2016): 99969–76. http://dx.doi.org/10.1039/c6ra21628e.

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44

Gou, Xufeng, Shaodong Sun, Qing Yang, Pengju Li, Shuhua Liang, Xiaojing Zhang, and Zhimao Yang. "A very facile strategy for the synthesis of ultrathin CuO nanorods towards non-enzymatic glucose sensing." New Journal of Chemistry 42, no. 8 (2018): 6364–69. http://dx.doi.org/10.1039/c7nj04717g.

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45

You, Chao, Rui Dai, Xiaoqin Cao, Yuyao Ji, Fengli Qu, Zhiang Liu, Gu Du, et al. "Fe2Ni2N nanosheet array: an efficient non-noble-metal electrocatalyst for non-enzymatic glucose sensing." Nanotechnology 28, no. 36 (August 14, 2017): 365503. http://dx.doi.org/10.1088/1361-6528/aa7c6e.

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46

Luo, Yumei, Qingyong Wang, Jinghua Li, Fen Xu, Lixian Sun, Yiting Bu, Yongjin Zou, Heinz-Bernhard Kraatz, and Federico Rosei. "Tunable hierarchical surfaces of CuO derived from metal–organic frameworks for non-enzymatic glucose sensing." Inorganic Chemistry Frontiers 7, no. 7 (2020): 1512–25. http://dx.doi.org/10.1039/d0qi00104j.

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A facile thermal treatment is conducted to prepare nanosphere stacking CuO derived from Cu-MOF, which achieves good glucose sensing performance and is expected to be effective for developing non-enzyme and non-invasive glucose sensors.

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47

Amin, Bahareh Golrokh, Jahangir Masud, and Manashi Nath. "A non-enzymatic glucose sensor based on a CoNi2Se4/rGO nanocomposite with ultrahigh sensitivity at low working potential." Journal of Materials Chemistry B 7, no. 14 (2019): 2338–48. http://dx.doi.org/10.1039/c9tb00104b.

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48

Rahman, Gul, Mustifuz Ur Rahman, and Zainab Najaf. "In situ synthesis of PANI/CuO nanocomposites for non-enzymatic electrochemical glucose sensing." Applied Chemical Engineering 3, no. 2 (September 5, 2020): 9. http://dx.doi.org/10.24294/ace.v3i2.645.

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We report the in situ synthesis of polyaniline/copper oxide (PANI/CuO) nanocomposites and their characterization as electrocatalyst for non-enzymatic electrochemical glucose detection. Copper oxide (CuO) nanoparticles were prepared by wet chemical precipitation method followed by thermal treatment while the composites of PANI and CuO were synthesized by in situ chemical polymerization of aniline with definite amount of CuO. X-ray diffraction (XRD) results revealed that the composites are predominantly amorphous. The composite formation was confirmed by fourier transform infrared (FTIR) and UV-Vis spectroscopy analysis. The surface morphology was greatly altered with the amount of CuO in composite structure. PANI/CuO nanocomposites were coated on copper substrate to investigate their electrocatalytic activity for glucose sensing. PANI/CuO with 10 wt. % CuO exhibited good response towards electrochemical glucose oxidation.

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49

Lv, Jian, Chuncai Kong, Xuanxuan Hu, Xiaojing Zhang, Ke Liu, Shengchun Yang, Jinglei Bi, et al. "Zinc ion mediated synthesis of cuprous oxide crystals for non-enzymatic glucose detection." Journal of Materials Chemistry B 5, no. 44 (2017): 8686–94. http://dx.doi.org/10.1039/c7tb01971h.

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50

Chen, Qiwen, Dandan Chu, Li Yan, Haichen Lai, Xue-Qiang Chu, Danhua Ge, and Xiaojun Chen. "Enhanced non-enzymatic glucose sensing based on porous ZIF-67 hollow nanoprisms." New Journal of Chemistry 45, no. 22 (2021): 10031–39. http://dx.doi.org/10.1039/d1nj01138c.

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Porous ZIF-67 hollow nanoprisms based non-enzymatic glucose sensor was successfully prepared using Co₅(OH)₂(OAc)₈·2H₂O as a precursor by a diffusion-controlled strategy, which exhibited wide linear range and high sensitivity.

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