ArticleScientific reports2022
Effect of contact resistance on the electrical conductivity of polymer graphene nanocomposites to optimize the biosensors detecting breast cancer cells.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Morphological Constraints on Double Percolation and Toughening in Nanocarbon-Filled Epoxy-Poly(ether imide) IPN Nanocomposites.ACS omega · 2026Article
- Systematic Meta-Analysis of Computer-Aided Detection of Breast Cancer Using Hyperspectral Imaging.Bioengineering (Basel, Switzerland) · 2024Review
- Metal-based non-enzymatic systems for cholesterol detection: mechanisms, features, and performance.RSC advances · 2024Review
- Toward Humidity-Independent Sensitive and Fast Response Temperature Sensors Based on Reduced Graphene Oxide/Poly(vinyl alcohol) Nanocomposites.ACS applied electronic materials · 2024Article
- Assessment of electrical conductivity of polymer nanocomposites containing a deficient interphase around graphene nanosheet.Scientific reports · 2024Article
- Predicting of tunneling resistivity between adjacent nanosheets in graphene-polymer systems.Scientific reports · 2023Article
- Effect of contact number among graphene nanosheets on the conductivities of tunnels and polymer composites.Scientific reports · 2023Article
- Synthesis of Fe-Doped Peroxidase Mimetic Nanozymes from Natural Hemoglobin for Colorimetric Biosensing and In Vitro Anticancer Effects.Biosensors · 2023Article
- Simulating of effective conductivity for grapheme-polymer nanocomposites.Scientific reports · 2023Article
- Review
- A Review on Non-Enzymatic Electrochemical Biosensors of Glucose Using Carbon Nanofiber Nanocomposites.Biosensors · 2022Review
- Modeling of Electrical Conductivity for Graphene-Filled Products Assuming Interphase, Tunneling Effect, and Filler Agglomeration Optimizing Breast Cancer Biosensors.Materials (Basel, Switzerland) · 2022Article
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2 authors.
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Abstract
This study focuses on the contact regions among neighboring nanoparticles in polymer graphene nanocomposites by the extension of nanosheets. The resistance of graphene and the contact zones represent the total resistance of the prolonged nanosheets. Furthermore, the graphene size, interphase depth, and tunneling distance express the effective volume portion of graphene, while the onset of percolation affects the fraction of percolated nanosheets. Finally, a model is developed to investigate the conductivity of the samples using the graphene size, interphase depth, and tunneling size. In addition to the roles played by certain factors in conductivity, the experimental conductivity data for several samples confirm the conductivity predictions. Generally, the polymer sheet in tunnels determines the total resistance of the extended nanosheets because graphene ordinarily exhibits negligible resistance. In addition, a large tunnel positively accelerates the onset of percolation, but increases the tunneling resistance and attenuates the conductivity of the nanocomposite. Further, a thicker interphase and lower percolation threshold promote the conductivity of the system. The developed model can be applied to optimize the biosensors detecting the breast cancer cells.
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