Electrical conductivity of graphene-containing composites by the conduction and volume share of networked interphase and the properties of tunnels applicable in breast cancer sensors

Zare, Yasser; Rhee, Kyong-Yop

doi:10.1007/s10853-022-07742-3

J Mater Sci

2022

DOI: 10.1007/s10853-022-07742-3

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Electrical conductivity of graphene-containing composites by the conduction and volume share of networked interphase and the properties of tunnels applicable in breast cancer sensors

Yasser Zare

Kyong-Yop Rhee

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Cited by 3 publications

References 63 publications

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Assessment of electrical conductivity of polymer nanocomposites containing a deficient interphase around graphene nanosheet

Zare,

Munir,

Rhee

2024

Sci Rep

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In this study, a poor/imperfect interphase is assumed to express the effective interphase thickness, operative filler concentration, percolation onset and volume share of network in graphene–polymer systems. Additionally, a conventional model is advanced by the mentioned terms for conductivity of samples by the extent of conduction transference between graphene and polymer medium. The model predictions are linked to the experimented data. Likewise, the mentioned terms as well as the conductivity of nanocomposites are expressed at dissimilar ranges of various factors. The novel equations successfully predict the percolation onset and conductivity in the samples containing a poor/imperfect interphase. Thin and long nanosheets with high conduction transportation desirably govern the percolation onset and nanocomposite conductivity, but a bigger tunneling distance causes a lower conductivity.

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Assessment of electrical conductivity of polymer nanocomposites containing a deficient interphase around graphene nanosheet

Zare,

Munir,

Rhee

2024

Sci Rep

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Tensile modulus of polymer halloysite nanotubes nanocomposites assuming stress transferring through an imperfect interphase

Zare,

Munir,

Rhee

2024

Sci Rep

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In this work, Hui-Shia model is developed to reveal the efficiency of a deficient interphase on the tensile modulus of polymer halloysite nanotube (HNT) nanocomposites. “L c ” as essential HNT length providing full stress transferring is defined and effective HNT size, effective HNT concentration, and efficiency of stress transferring (Q) are expressed by “L c ”. Furthermore, the influences of all terms on the “Q” and nanocomposite’s modulus are clarified, and also the calculations of the model are linked to the tested data of some nanocomposites. Original Hui-Shia model overpredicts the moduli, but the innovative model’s predictions appropriately fit the measured data. L c = 200 nm maximizes the sample’s modulus to 2.6 GPa, but the modulus reduces to 2.11 GPa at L c = 700 nm. Therefore, there is a reverse relation between the sample’s modulus and “L c ”. Q = 0.5 produces the system’s modulus of 2.1 GPa, while the modulus of 2.35 GPa is achieved at Q = 1 providing a direct relation between the nanocomposite’s modulus and “Q”. Generally, narrow and big HNTs, along with a low “L c ”, enhance the “Q”, because a lower “L c ”, reveals a tougher interphase improving the stress transferring.

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Graphene-Based Electrochemical Biosensors for Breast Cancer Detection

Mohammadpour-Haratbar

Boraei

Zare

et al. 2023

Biosensors

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Breast cancer (BC) is the most common cancer in women, which is also the second most public cancer worldwide. When detected early, BC can be treated more easily and prevented from spreading beyond the breast. In recent years, various BC biosensor strategies have been studied, including optical, electrical, electrochemical, and mechanical biosensors. In particular, the high sensitivity and short detection time of electrochemical biosensors make them suitable for the recognition of BC biomarkers. Moreover, the sensitivity of the electrochemical biosensor can be increased by incorporating nanomaterials. In this respect, the outstanding mechanical and electrical performances of graphene have led to an increasingly intense study of graphene-based materials for BC electrochemical biosensors. Hence, the present review examines the latest advances in graphene-based electrochemical biosensors for BC biosensing. For each biosensor, the detection limit (LOD), linear range (LR), and diagnosis technique are analyzed. This is followed by a discussion of the prospects and current challenges, along with potential strategies for enhancing the performance of electrochemical biosensors.

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Electrical conductivity of graphene-containing composites by the conduction and volume share of networked interphase and the properties of tunnels applicable in breast cancer sensors

Cited by 3 publications

References 63 publications

Assessment of electrical conductivity of polymer nanocomposites containing a deficient interphase around graphene nanosheet

Assessment of electrical conductivity of polymer nanocomposites containing a deficient interphase around graphene nanosheet

Tensile modulus of polymer halloysite nanotubes nanocomposites assuming stress transferring through an imperfect interphase

Graphene-Based Electrochemical Biosensors for Breast Cancer Detection

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