Self-stacking of exfoliated charged nanosheets of LDHs and graphene as biosensor with real-time tracking of dopamine from live cells

Aziz, Ayesha; Asif, Muhammad; Azeem, Muhammad; Ashraf, Ghazala; Wang, Zhengyun; Xiao, Fei; Liu, Hongfang

doi:10.1016/j.aca.2018.10.008

Cited by 104 publications

(50 citation statements)

References 52 publications

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“…One advantage of using graphene in a biosensor study is that this material has no effect on mitochondrial membrane potential (MMP), mitochondrial morphology, or cell stress status [34]. Since graphene appears to have a bright future in biochemical and biomedical applications, engineers are encouraged to continue research studies on this material [34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Viability of Neural Cells on 3D Printed Graphene Bioelectronics

et al. 2019

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Parkinson’s disease (PD) is the second most common neurodegenerative disease in the United States after Alzheimer’s disease (AD). To help understand the electrophysiology of these diseases, N27 neuronal cells have been used as an in vitro model. In this study, a flexible graphene-based biosensor design is presented. Biocompatible graphene was manufactured using a liquid-phase exfoliation method and bovine serum albumin (BSA) for further exfoliation. Raman spectroscopy results indicated that the graphene produced was indeed few-layer graphene (FLG) with ID/IGGraphene= 0.11. Inkjet printing of this few-layer graphene ink onto Kapton polyimide (PI) followed by characterization via scanning electron microscopy (SEM) showed an average width of ≈868 µm with a normal thickness of ≈5.20 µm. Neuronal cells were placed on a thermally annealed 3D printed graphene chip. A live–dead cell assay was performed to prove the biosensor biocompatibility. A cell viability of approximately 80% was observed over 96 h, which indicates that annealed graphene on Kapton PI substrate could be used as a neuronal cell biosensor. This research will help us move forward with the study of N27 cell electrophysiology and electrical signaling.

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Section: Introductionmentioning

confidence: 99%

Viability of Neural Cells on 3D Printed Graphene Bioelectronics

et al. 2019

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“…Figure 1 B shows the schematic illustration of currently used diagnostic techniques and possible biosensing platforms for COVID-19, (i) COVID-19 patient, (ii) sampling ways, iii) biomarkers and indicators, (iv) diagnostic methods, (v) promising biosensors. Biosensors being capable for continuous monitoring of biomarkers would be potential candidates for diagnosing COVID-19 patients with mild to critical conditions and evaluating the success rate of anti-inflammation therapies [ 22 ]. Though the nucleic acid testing and antibody detection using RT-PCR and ELISA respectively, have been well-developed but these approaches still suffer from some practical limitations.…”

Section: Current Biosensor Candidates For Sars-cov-2 Detectionmentioning

confidence: 99%

The role of biosensors in coronavirus disease-2019 outbreak

Asif

Ajmal

Ashraf

et al. 2020

Current Opinion in Electrochemistry

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112

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Herein, we have summarized and argued about biomarkers and indicators used for the detection of SARS-CoV-2. Antibody detection methods are not considered suitable to screen individuals at early stages and asymptomatic cases. The diagnosis of COVID-19 using biomarkers and indicators at point of care level is much crucial. Therefore, it is urgently needed to develop rapid and sensitive detection methods which can target antigens. We have critically elaborated key role of biosensors to cope the outbreak situation. In this review, the importance of biosensors including electrochemical, surface enhanced Raman scattering, field-effect transistor and surface plasmon resonance biosensors in the detection of SARS-CoV-2 has been underscored. Finally, we have outlined pros and cons of diagnostic approaches as-well-as future directions.

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“…For example, nickel aluminide (NiAl)–LDHs have been combined with graphene, on a layer‐by‐layer structure, resulting in the detection of dopamine in live human neuroblastoma cells. [ 83 ] A worth‐mentioning study that was recently published, showed that it was possible to monitor the secretion of dopamine from dopaminergic cells, including neural stem cells (NSCs), at the single‐cell level using a graphene substrate on the top of which homogeneous gold nanoarrays with tooth‐like structures were fabricated. [ 69 ] The system improved significantly the dopamine's detection limit, using surface‐enhanced Raman spectroscopy.…”

Section: Gbms In Neurodegenerative Diseasesmentioning

confidence: 99%

Graphene‐Based Nanotechnology in Neurodegenerative Disorders

Tapeinos

2021

Advanced NanoBiomed Research

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Graphene‐based materials (GBMs) demonstrate unique electrochemical, mechanical, thermal, and optical properties rendering them attractive candidates for numerous biomedical applications. Since graphene's discovery, GBMs have been at the forefront of biomedical research offering innovative solutions for numerous diseases, including neurodegenerative disorders (NDs). There are numerous reviews in which synthesis and functionalization methods of GBMs are discussed. However, this review focuses specifically on the recent research advances of GBMs for NDs, and more specifically, on sensing and therapeutic applications. After a short description of NDs’ main characteristics, significant attention is given to the functionalization strategies used to improve the biomedical properties of GBMs, and recent applications for Alzheimer's disease, Parkinson's disease, Huntington's disease, multiple sclerosis, and amyotrophic lateral sclerosis. A description of the use of GBMs and neural stem cell technology and known toxicity issues, followed by several limitations that current GBMs need to overcome, completes this review.

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Self-stacking of exfoliated charged nanosheets of LDHs and graphene as biosensor with real-time tracking of dopamine from live cells

Cited by 104 publications

References 52 publications

Viability of Neural Cells on 3D Printed Graphene Bioelectronics

Viability of Neural Cells on 3D Printed Graphene Bioelectronics

The role of biosensors in coronavirus disease-2019 outbreak

Graphene‐Based Nanotechnology in Neurodegenerative Disorders

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