1. Investigation of effective parameters on electrochemical aptasensor for detection of Penicillin antibiotic

Sahar Ebrahimi Vafaye; Alireza Rahman; Shila Safaeian; Mahdi Adabi

Volume 6, Issue 1 , Winter 2021, , Pages 73-78

http://dx.doi.org/10.22034/nmrj.2021.01.008

Abstract
  In this research, the fabrication of aptasensor prepared by immobilization of Penicillin aptamer on gold nanoparticles (AuNPs) electrodeposited onto electrospun carbon nanofiber (ECNF) mat was reported to detect Penicillin antibiotic in the milk. The AuNPs/ECNF mat electrode was firstly produced using ...  Read More

2. Preparation of Methotrexate loaded PLGA nanoparticles coated with PVA and Poloxamer188

Fatemeh Madani; Arash Goodarzi; Mansoureh Hashemi; Basil Mujokoro; Masood Khosravani; Mahdi Adabi

Volume 3, Issue 1 , Winter 2018, , Pages 19-24

http://dx.doi.org/10.22034/nmrj.2018.01.003

Abstract
  Objective(s): Nanoparticles offer an attractive platform for drug delivery through a wide variety of the body's physiological barriers. Furthermore, modification of nanoparticle surface with moeites such as Poloxamer188 can enhance their accumulation and localization at disease site. In this work, ...  Read More

3. Evaluation of the Effective Electrospinning Parameters Controlling Kefiran Nanofibers Diameter Using Modelling Artificial Neural Networks

Seyedeh Sara Esnaashari; Majid Naghibzadeh; Mahdi Adabi; Reza Faridi Majidi

Volume 2, Issue 4 , Autumn 2017, , Pages 239-249

http://dx.doi.org/10.22034/nmrj.2017.04.005

Abstract
  Objective(s): This paper investigates the validity of Artificial Neural Networks (ANN) model in the prediction of electrospun kefiran nanofibers diameter using 4 effective parameters involved in electrospinning process. Polymer concentration, applied voltage, flow rate and nozzle to collector distance ...  Read More

Evaluation of the Effective Electrospinning Parameters Controlling Kefiran Nanofibers Diameter Using Modelling Artificial Neural Networks