Graphene oxide template based synthesis of NiCo2O4 nanosheets for high performance non-enzymatic glucose sensor

Babulal, Sivakumar Musuvadhi; Chen, Shen‐Ming; Palani, Raja; Venkatesh, Krishnan; Haidyrah, Ahmed S.; Ramaraj, Sayee Kannan; Yang, Chun‐Chen; Karuppiah, Chelladurai

doi:10.1016/j.colsurfa.2021.126600

Cited by 35 publications

(14 citation statements)

References 57 publications

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“…However, enzyme-based electrochemical glucose sensor has inherent defects such as high cost, complex enzyme immobilization process, and poor enzyme stability affected by pH, temperature and humidity [2][3][4][5]. So, non-enzymatic electrochemical glucose sensors have attracted wide attention owing to the low cost, good selectivity and sensitivity, and long-term stability [6][7][8]. To date, a variety of metal [9][10][11], metal-alloy [12,13], metal nitrides [14,15], metal sulfide [16,17], metal oxide [18][19][20][21][22][23], carbon materials [24] and composite materials [25][26][27][28][29] have been extensively investigated as non-enzymatic glucose sensor electrode materials.…”

Section: Introductionmentioning

confidence: 99%

Facile hydrothermal synthesis CuO microflowers for non‐enzymatic glucose sensors

Wang

Yang

Zhao

et al. 2022

Micro & Nano Letters

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With diabetes mellitus increasing, developing non-enzymatic glucose sensors to replace enzyme-based sensors has become more urgent, owing to its intrinsic disadvantages of enzymes. Herein, CuO microflowers were successfully synthesized through a green hydrothermal method with no template or surfactant. X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy and transmission electron microscopy were used to study the crystalline structure, elemental composition and morphology of the as-obtained sample. Then, the CuO microflowers acted as non-enzymatic glucose sensor electrode material. The electrochemical test results indicate that the glucose oxidation controlled by diffusion at 0.5 V had a short response time(5 s), the linear range was wide (∼11 mM), and the detection limit was low(1.3 µm). Moreover, the CuO microflowers exhibit great selectivity to glucose and have high poison resistance to chloride ions. Thus, all these results imply that the as-fabricated CuO has a great application prospect for nonenzymatic glucose sensor electrode material.

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Section: Introductionmentioning

confidence: 99%

Facile hydrothermal synthesis CuO microflowers for non‐enzymatic glucose sensors

Wang

Yang

Zhao

et al. 2022

Micro & Nano Letters

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“…Wang and co-workers [122] reported Ni-Co bimetal phosphide nanocages with high selectivity and a wide linear range of 0.005-7 mM. Chen and co-workers [123] synthesized 2D nanosheets of NiCo 2 O 4 using sonochemical approach in a twostep process for non-enzymatic glucose detection. A Ni(NPs)-PANI electrode has been reported for glucose sensing.…”

Section: Reviewmentioning

confidence: 99%

Nanostructured Nickel‐based Non‐enzymatic Electrochemical Glucose Sensors

Akter

Saha

Shah

et al. 2022

Chemistry An Asian Journal

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Glucose detection is considered a significant area and has remained the topic of considerable attention. Remarkable technological advancements have been observed in diabetes monitoring in the past decades. This continual progress helps to track recent trends in development as well as identify challenging issues in glucose sensor construction. Thus, a comprehensive synopsis of the most recent advancements and developments in the study of nickel (Ni) nanostructure-based sensors for efficient trace-level glucose detection, following non-enzymatic and electrochemical methods, is provided in this review. Moreover, this review is intensively focused on the methodologies for the structure, morphology, preparation, and enforcement of a variety of Ni nanostructures, including Ni nanosheets with metals, Ni nanospheres with metals/mixed metals, Ni-metal nanocomposites, metal nanoparticles-decorated Ni nanowires, Ni nanoparticles, Ni-decorated metal nanotube arrays, Ni nanoneedles and nanorods with metals, nanoporous, nanoplates, nanocoated Ni with metal composites, and Ni-composed hybrid nanostructures. Various demonstrations and categorizations are provided on Ni-based nanostructures for a clear understanding for diverse readers.

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“…The first one applied NiCo 2 O 4 nanosheets on nitrogen-doped (nitrogen doping on graphene enhances conductivity) rGO (N-rGO) 50 while the second one GO. 51 Comparing their diagnostic ability, the sensor generated with N-rGO seems to be superior since it was able to read undiluted human serum samples (RSD 0.2–2.5%) with high accuracy (compared with a commercial glucose meter) whereas the GO sensor was tested in diluted (no details provided) and spiked with glucose (20 μM) serum and urine samples with similar RSD values (<3%). In a similar approach, a research team from China developed a Ni- and Cu-modified graphene electrode, using a graphene-layer skeleton (in which they electrochemically deposited Ni nanoparticles and Cu micro-/nano sheets to enhance electrocatalytic activity toward glucose oxidation) and reported similar results (RSD 1.6–2.4%) to spiked and diluted (50–83 dilution ratio in 0.1 M NaOH) human blood serum samples.…”

Section: Non-enzymatic Graphene: Metal-based Sensorsmentioning

confidence: 99%

“…43 GCE/ GN/ Pcys-Ni(OH)51 Cu/Ni/graphene/Ta electrode 0.00009-39.132 mg/dL (0.000005-2.174 mmol/L) GOD: glucose oxidase; MCF: meso-cellular silicate foam; rGO: reduced graphene oxide; GCE: glassy carbon electrode; HS: human serum; NR: not reported; UA: uric acid; AA: ascorbic acid; DA: dopamine; Fru: fructose; CN: creatine; SPCE: screen-printed carbon electrode; GNR: graphene nanoribbon; HU: human urine; GOx: glucose oxidase; WB: whole blood; Lac: lactate; Mal: maltose; Suc: sucrose; CNs: cellulose nanofibers; HSw: human sweat; GS: graphite sheet; NFG: N-doped functionalized grapheme; LDH: layered double hydroxide; HP: human plasma; AED: cystamine; L-Cys: L-cysteine; Gly: glycine;;CoPc: cobalt phthalocyanine; SC: sodium citrate; IL: ionic liquid; G: graphene composite; PAD: paper-based device; Lac: lactate; Gal: galactose; APAP: paracetamol; SWCNT: single-walled carbon nanotube; HSa: human saliva; GelMA: gelatin methacryloyl; AP: acetamidophenol; Pcys: poly(cysteine); Glu: glutamate; Lys: lysine; Cys: cysteine; Ur, urea; NG: nitrogen-doped graphene; FA: folic acid; OA: oxalic acid; Lact: lactose; Xyl, Xylose; LSG: laser-scribed graphene; GT: glutathione; L-tyr: L-tyrosine; Chol: cholesterol; Naf: Nafion; SPE: screen printed electrode; PB: prussian blue; GN: monolayer graphene; 3DG: three-dimensional graphene; FTO: fluorine-doped tin oxide; NHS: N-Hydroxysuccinimide. 3 offers electrochemical stability and energy band gap whereas GNRs have high surface area and good stability.…”

mentioning

confidence: 99%

Is graphene the rock upon which new era continuous glucose monitors could be built?

Papanikolaou

Simos

Spyrou

et al. 2022

Exp Biol Med (Maywood)

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Diabetes mellitus’ (DM) prevalence worldwide is estimated to be around 10% and is expected to rise over the next decades. Monitoring blood glucose levels aims to determine whether glucose targets are met to minimize the risk for the development of symptoms related to high or low blood sugar and avoid long-term diabetes complications. Continuous glucose monitoring (CGMs) systems emerged almost two decades ago and have revolutionized the way diabetes is managed. Especially in Type 1 DM, the combination of a CGM with an insulin pump (known as a closed-loop system or artificial pancreas) allows an autonomous regulation of patients’ insulin with minimal intervention from the user. However, there is still an unmet need for high accuracy, precision and repeatability of CGMs. Graphene was isolated in 2004 and found immediately fertile ground in various biomedical applications and devices due to its unique combination of properties including its high electrical conductivity. In the last decade, various graphene family nanomaterials have been exploited for the development of enzymatic and non-enzymatic biosensors to determine glucose in biological fluids, such as blood, sweat, and so on. Although great progress has been achieved in the field, several issues need to be addressed for graphene sensors to become a predominant material in the new era of CGMs.

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Graphene oxide template based synthesis of NiCo2O4 nanosheets for high performance non-enzymatic glucose sensor

Cited by 35 publications

References 57 publications

Facile hydrothermal synthesis CuO microflowers for non‐enzymatic glucose sensors

Facile hydrothermal synthesis CuO microflowers for non‐enzymatic glucose sensors

Nanostructured Nickel‐based Non‐enzymatic Electrochemical Glucose Sensors

Is graphene the rock upon which new era continuous glucose monitors could be built?

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