Adsorption of Fe(II) from Aqueous Phase by Chitosan: Application of Physical Models and Artificial Neural Network for Prediction of Breakthrough

  • سال انتشار: 1392
  • محل انتشار: ماهنامه بین المللی مهندسی، دوره: 26، شماره: 8
  • کد COI اختصاصی: JR_IJE-26-8_011
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 941
دانلود فایل این مقاله

نویسندگان

h radnia

Chemical Engineering Department, Babol University of Technology, Babol, Iran

a.a ghoreyshi

Chemical Engineering Department, Babol University of Technology, Babol, Iran

h younesi

Department of Environmental Science, Faculty of Natural Resources, Tarbiat Modares University, Noor, Iran

m masomi

Chemical Engineering Department, Babol University of Technology, Babol, Iran

چکیده

Removal of Fe(II) from aqueous media was investigated using chitosan as an adsorbent in both batch and continuous systems. Batch experiments were carried out at initial concentration range of 10-50mg/L and temperature range of 20–40˚C. In batch experiments, maximum adsorption capacity of 28.7mg/g and removal efficiency of 93% were obtained. Adsorption equilibrium data were well-fitted with Langmuir-Freundlich model and the model parameters were obtained. In column study, experiments were performed in a fixed bed of chitosan operated at continuous up-flow mode and constanttemperature of 25˚C. Sharp breakthrough curves were observed at high flow rates, high inlet metal concentrations and low bed heights. Breakthrough curves were analyzed by physical models such as Thomas and Yan’s models as well as Artificial Neural Network (ANN) method. Compared to physicalmodels, simulation of dynamic behaviour of the system using Back Propagation Artificial NeuralNetwork (BP-ANN) demonstrated high coincidence between experimental and predicted breakthrough curves. The FTIR spectrum of chitosan before and after adsorption process demonstrated that hydroxyl and amino groups are the main functional groups involved in the binding of Fe(II).

کلیدواژه ها

Chitosan,Fe(II),Adsorption,Breakthrough Curve,Artificial Neural Network

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.