PMID- 28732980
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20180307
LR  - 20180307
IS  - 1873-2828 (Electronic)
IS  - 1350-4177 (Linking)
VI  - 39
DP  - 2017 Nov
TI  - Synthesis of amine-modified zeolitic imidazolate framework-8, ultrasound-assisted 
      dye removal and modeling.
PG  - 550-564
LID - S1350-4177(17)30195-5 [pii]
LID - 10.1016/j.ultsonch.2017.04.030 [doi]
AB  - The present research is focused on the ultrasound assisted adsorption of Acid 
      blue 92 (AB92) and Direct red 80 (DR80) as anionic dyes in single and binary 
      systems onto zeolitic imidazolate framework (ZIF-8) functionalized with 
      3-Aminopropyltrimethoxysilane (APTES). Different techniques such as Fourier 
      transform infrared (FTIR), scanning electron microscope (SEM), field emission 
      scanning electron microscopy (FE-SEM), X-ray diffraction (XRD), 
      Brunauer-Emmett-Teller (BET) and thermogravimetric analyses (TGA) were used to 
      characterize the prepared adsorbent. The individual effects and possible 
      interactions between the various parameters including adsorbent dosage, 
      sonication time, initial dye concentrations and pH on dyes removal efficiency 
      were investigated by response surface methodology (RSM). The optimized 
      experimental conditions were fixed at adsorbent dosage 0.005g for AB92 and 0.01g 
      for DR80, pH 2.1, sonication time 15min, and initial dyes concentration 15mgL(-1) 
      to get maximum removal percentage (>95.0%). A reliable and intelligent model 
      based on least-squares support vector machine (LS-SVM) was developed to predict 
      dye removal efficiency. The root mean square error (RMSE) of 0.604, 0.734 and 
      1.549 with high determination coefficient (R(2)) of 0.999, 0.996 and 0.997 for 
      AB92, DR80 and binary system, respectively, were able to predict and model the 
      adsorption process. The presented model illustrates better performance in 
      predicting dye removal efficiency compared to the kinetic models. The results 
      showed that the adsorption process had better conformation with pseudo-second 
      order model. The adsorption equilibrium data was investigated by Langmuir, 
      Freundlich, Tempkin and Dubinin-Radushkevich isotherm models and the data were 
      well fitted by Langmuir model with maximum adsorption capacity of 633.4 and 
      500.2mgg(-1) for AB92 and DR80 dyes, respectively. APTES@ZIF-8 was regenerated 
      and found to be reusable after four successive cycles without considerable loss 
      in adsorption capacity.
CI  - Copyright (c) 2017 Elsevier B.V. All rights reserved.
FAU - Abdi, Jafar
AU  - Abdi J
AD  - Department of Chemical and Petroleum Engineering, Sharif University of 
      Technology, Tehran, Iran; Department of Environmental Research, Institute for 
      Color Science and Technology, Tehran, Iran.
FAU - Vossoughi, Manouchehr
AU  - Vossoughi M
AD  - Department of Chemical and Petroleum Engineering, Sharif University of 
      Technology, Tehran, Iran. Electronic address: vosoughi@sharif.edu.
FAU - Mahmoodi, Niyaz Mohammad
AU  - Mahmoodi NM
AD  - Department of Environmental Research, Institute for Color Science and Technology, 
      Tehran, Iran.
FAU - Alemzadeh, Iran
AU  - Alemzadeh I
AD  - Department of Chemical and Petroleum Engineering, Sharif University of 
      Technology, Tehran, Iran.
LA  - eng
PT  - Journal Article
DEP - 20170423
PL  - Netherlands
TA  - Ultrason Sonochem
JT  - Ultrasonics sonochemistry
JID - 9433356
OTO - NOTNLM
OT  - Amino-functionalized
OT  - Anionic dyes
OT  - LS-SVM
OT  - Response surface methodology
OT  - Ultrasonic assisted adsorption
OT  - ZIF-8
EDAT- 2017/07/25 06:00
MHDA- 2017/07/25 06:01
CRDT- 2017/07/23 06:00
PHST- 2017/03/13 00:00 [received]
PHST- 2017/04/20 00:00 [revised]
PHST- 2017/04/21 00:00 [accepted]
PHST- 2017/07/23 06:00 [entrez]
PHST- 2017/07/25 06:00 [pubmed]
PHST- 2017/07/25 06:01 [medline]
AID - S1350-4177(17)30195-5 [pii]
AID - 10.1016/j.ultsonch.2017.04.030 [doi]
PST - ppublish
SO  - Ultrason Sonochem. 2017 Nov;39:550-564. doi: 10.1016/j.ultsonch.2017.04.030. Epub 
      2017 Apr 23.