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

被引:3
作者
Zare, Yasser [1 ]
Rhee, Kyong Yop [2 ]
机构
[1] ACECR, Motamed Canc Inst, Dept Interdisciplinary Technol, Breast Canc Res Ctr,Biomat & Tissue Engn Res Grp, Tehran, Iran
[2] Kyung Hee Univ, Coll Engn, Dept Mech Engn BK21 Four, Yongin, South Korea
基金
新加坡国家研究基金会;
关键词
CARBON NANOTUBES; YIELD STRENGTH; PERCOLATION-THRESHOLD; POLYMER NANOCOMPOSITE; INTERFACIAL ADHESION; TENSILE-STRENGTH; MODEL; MODULUS; BEHAVIOR; AGGLOMERATION;
D O I
10.1007/s10853-022-07742-3
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An original model is advanced for conductivity of polymer graphene composites by tunneling effect and interphase piece. The conduction and volume share of networked interphase are defined and considered. Besides, the properties of tunnels such as tunneling length, tunneling resistivity and contact diameter are supposed, which affect the percolation beginning and conductivity. Consequently, the novel model approximates the nanocomposite's conductivity by the properties of graphene, tunnels and interphase. The impressions of all factors on the conductivity are evaluated and justified. Furthermore, the model's forecasts are matched to the experimented facts of some examples. The conduction and diameter of graphene directly affect the conductivity. Additionally, the suggested model shows the positive characters of big interphase and narrow tunnels in the conductivity, despite the fact that narrow interphase and large tunnels cause an insulated nanocomposite. The outputs of novel model display good matching with the experimented facts. These evidences confirm the correctness of the suggested model, which can replace the conventional models in future studies. The developed model can optimize the breast cancer sensors, because the conductivity is an important term for detection.
引用
收藏
页码:17637 / 17648
页数:12
相关论文
共 66 条
[1]   Effect of SrR delivery in the biomarkers of bone regeneration during the in vitro degradation of HNT/GN coatings prepared by EPD [J].
Abdollahi Boraei, Seyyed Behnam ;
Nourmohammadi, Jhamak ;
Mandavi, Fatemeh Sadat ;
Yus, Joaquin ;
Ferrandez-Montero, A. ;
Javier Sanchez-Herencia, Antonio ;
Gonzalez, Zoilo ;
Ferrari, Begona .
COLLOIDS AND SURFACES B-BIOINTERFACES, 2020, 190
[2]   Multiscale modeling of mechanical behaviors of Nano-SiC/epoxy nanocomposites with modified interphase model: Effect of nanoparticle clustering [J].
Baek, Kyungmin ;
Shin, Hyunseong ;
Cho, Maenghyo .
COMPOSITES SCIENCE AND TECHNOLOGY, 2021, 203
[3]   Percolation and tunneling in composite materials [J].
Balberg, I ;
Azulay, D ;
Toker, D ;
Millo, O .
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2004, 18 (15) :2091-2121
[4]   Osteogenesis capability of three-dimensionally printed poly(lactic acid)-halloysite nanotube scaffolds containing strontium ranelate [J].
Boraei, Seyyed Behnam Abdollahi ;
Nourmohammadi, Jhamak ;
Mahdavi, Fatemeh Sadat ;
Zare, Yasser ;
Rhee, Kyong Yop ;
Ferrandez Montero, Ana ;
Sanchez Herencia, Antonio Javier ;
Ferrari, Begona .
NANOTECHNOLOGY REVIEWS, 2022, 11 (01) :1901-1910
[5]   Evaluation and visualization of the percolating networks in multi-wall carbon nanotube/epoxy composites [J].
Chang, Li ;
Friedrich, Klaus ;
Ye, Lin ;
Toro, Patricio .
JOURNAL OF MATERIALS SCIENCE, 2009, 44 (15) :4003-4012
[6]   Influence of multi-walled carbon nanotubes on the fracture response and phase distribution of metakaolin-based potassium geopolymers [J].
Chen, Jiaxin ;
Akono, Ange-Therese .
JOURNAL OF MATERIALS SCIENCE, 2021, 56 (35) :19403-19424
[7]   Evaluation of electrical conductivity models for conductive polymer composites [J].
Clingerman, ML ;
King, JA ;
Schulz, KH ;
Meyers, JD .
JOURNAL OF APPLIED POLYMER SCIENCE, 2002, 83 (06) :1341-1356
[8]   Effect of morphology and defectiveness of graphene-related materials on the electrical and thermal conductivity of their polymer nanocomposites [J].
Colonna, S. ;
Monticelli, O. ;
Gomez, J. ;
Novara, C. ;
Saracco, G. ;
Fina, A. .
POLYMER, 2016, 102 :292-300
[9]   An analytical model of effective electrical conductivity of carbon nanotube composites [J].
Deng, Fei ;
Zheng, Quan-Shui .
APPLIED PHYSICS LETTERS, 2008, 92 (07)
[10]   A Monte Carlo model with equipotential approximation and tunneling resistance for the electrical conductivity of carbon nanotube polymer composites [J].
Fang, Chao ;
Zhang, Juanjuan ;
Chen, Xiqu ;
Weng, George J. .
CARBON, 2019, 146 :125-138