Amin Kazemi‐Beydokhti

Hakim Sabzevari University

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Saeed Zeinali Heris

Xi'an University of Science and Technology

Mahmoud Reza Jaafari

Mashhad University of Medical Sciences

Seyed Hasan Hajiabadi

University of Stavanger

Seyedeh Hoda Alavizadeh

Mashhad University of Medical Sciences

Ali Sanati

Hakim Sabzevari University

Enzo Menna

University of Padua

Seyedeh Yasaman Rahnamaei Rahchamandi

Mashhad University of Medical Sciences

Fatemeh Gheybi

Mashhad University of Medical Sciences

Hamed Azizi Namaghi

Semnan University

Mahmoud Farrokhi

Hakim Sabzevari University

Cooperative Institutions

Mashhad University of Medical Sciences

Hakim Sabzevari University

Ferdowsi University of Mashhad

University of Tehran

Shiraz University

Biotechnology Research Center

Mazandaran University of Medical Sciences

Tehran University of Medical Sciences

Isfahan University of Technology

Institute for Health Metrics and Evaluation

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Experimental investigation of thermal conductivity of medical nanofluids based on functionalised single‐wall carbon nanotube and conjugated cisplatin

Micro & Nano Letters (2015)

Amin Kazemi‐Beydokhti Saeed Zeinali Heris Mahmoud Reza Jaafari

Thermal engineering parameters such as thermal conductivity (TC) can play an important role in developing medical nanofluids with improved stability and better drug release. In this reported work, an engineering perspective is strategised for the development of medical nanofluids containing functionalised single‐wall carbon nanotubes and conjugated cisplatin. These nanofluids were developed by two biocompatible phospholipids. For the first time, the change in TC values of this medical nanofluid was investigated. The change in the drug release was examined before and after dialysis with change in pH and temperature, in vitro . It was found that an increase in temperature leads to higher TC and a decrease in pH provides better thermophysical conditions for the drug release. These findings strongly suggest that TC could be an important parameter in the development of medical nanofluids for cancer treatment.

10.1049/mnl.2014.0593

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Citations (16)

Stability and thermal conductivity of nanofluids of tin dioxide synthesized via microwave-induced combustion route

Chemical Engineering Journal (2009)

Sajjad Habibzadeh Amin Kazemi‐Beydokhti Abbas Ali Khodadadi Yadollah Mortazavi Sasha Omanovic

Tin dioxide

Thermal Stability

Dispersion stability

10.1016/j.cej.2009.11.007

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Citations (109)

Identification of the Key Variables on Thermal Conductivity of CuO Nanofluid by a Fractional Factorial Design Approach

Numerical Heat Transfer Part B Fundamentals (2013)

Amin Kazemi‐Beydokhti Hamed Azizi Namaghi Saeed Zeinali Heris

Seven important parameters (temperature, concentration, average primary particle size, pH of nanofluid, density of nanoparticle, elapsed time, and sonication time) which are responsible for the change of the thermal conductivity of nanofluids were experimentally investigated on CuO/water nanofluid and were statistically surveyed by a factorial design method. In order to investigate the main effects and their interactions on the thermal conductivity ratio, a fractional factorial design (FFD) with three other experiments at the center of the design for analysis of variance were applied. Also, the factorial model was statistically validated by analysis of variance (ANOVA). The predicted responses was compared with the experimental ones. Generally, the predicted values were in reasonable agreement with the experimental data, further confirming the high predictability of the models.

Fractional factorial design

Identification

10.1080/10407790.2013.831674

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Citations (31)

Engineered hybrid carbon nanohorns-lipid platforms for the delivery of cisplatin to the colorectal cancer

Journal of Drug Delivery Science and Technology (2024)

Seyedeh Yasaman Rahnamaei Rahchamandi Amin Kazemi‐Beydokhti Elaheh Mirhadi Fatemeh Gheybi Anis Askarizadeh

10.1016/j.jddst.2024.106101

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Citations (1)

Thermal optimization of combined heat and power (CHP) systems using nanofluids

Energy (2012)

Amin Kazemi‐Beydokhti Saeed Zeinali Heris

10.1016/j.energy.2012.06.033

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Citations (34)

Carbon nanotube nanofluid for the efficiency improvement in a CHP system: simulation and experimental investigation

Journal of Thermal Analysis and Calorimetry (2019)

Amin Kazemi‐Beydokhti Mahmoud Farrokhi Enzo Menna

Working fluid

10.1007/s10973-019-08857-7

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Citations (5)

Engineering carbon-based nanomaterials for the delivery of platinum compounds: An innovative cancer disarming frontier

Environmental Research (2024)

Seyedeh Yasaman Rahnamaei Rahchamandi Elahe Mirhadi Fatemeh Gheybi Amin Kazemi‐Beydokhti Mahmoud Reza Jaafari

Frontier

Nanomaterials

Carbon fibers

10.1016/j.envres.2024.119933

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Citations (2)

Rheological investigation of smart polymer/carbon nanotube complex on properties of water-based drilling fluids

Colloids and Surfaces A Physicochemical and Engineering Aspects (2018)

Amin Kazemi‐Beydokhti Seyed Hasan Hajiabadi

Filtration (mathematics)

Filter cake

10.1016/j.colsurfa.2018.07.058

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Citations (61)

PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

Brazilian Journal of Chemical Engineering (2015)

Amin Kazemi‐Beydokhti Hamed Azizi Namaghi M. A. Haj Asgarkhani Saeed Zeinali Heris

Central composite rotatable design (CCRD) and artificial neural networks (ANN) have been applied to optimize the performance of nanofluid systems. In this regard, the performance was evaluated by measuring the stability and thermal conductivity ratio based on the critical independent variables such as temperature, particle volume fraction and the pH of the solution. A total of 20 experiments were accomplished for the construction of second-order polynomial equations for both target outputs. All the influential factors, their mutual effects and their quadratic terms were statistically validated by analysis of variance (ANOVA). According to the results, the predicted values were in reasonable agreement with the experimental data as more than 96% and 95% of the variation could be predicted by the respective models for zeta potential and thermal conductivity ratio. Also, ANN proved to be a very promising method in comparison with CCD for the purpose of process simulation due to the complexity involved in generalization of the nanofluid system.

Volume fraction

10.1590/0104-6632.20150324s00003518

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Citations (38)

Comparison of three different protocols for synthesis of one formulation based on functionalized single-wall carbon nanotubes and conjugated cisplatin

Amin Kazemi‐Beydokhti Saeed Zeinali Heris Mahmoud Reza Jaafari

Carbon fibers

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