Boron removal from aqueous solutions by adsorption on waste sepiolite and activated waste sepiolite using full factorial design

Ozturk N., Kavak D.

Adsorption, cilt.10, sa.3, ss.245-257, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10 Sayı: 3
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1023/b:adso.0000046361.62180.c6
  • Dergi Adı: Adsorption
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.245-257
  • Anahtar Kelimeler: boron removal, adsorption, waste sepiolite, experimental design, packed bed column, GEOTHERMAL POWER-PLANT, ION-EXCHANGE-RESINS, PACKED-BED, WATER, ACID, CARBON, OPTIMIZATION, SORPTION, SPECIATION, VARIABLES
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

In the present paper, boron removal from aqueous solution by adsorption was investigated and 23 full factorial design was applied. Non activated waste sepiolite (NAWS) and HCl activated waste sepiolite (AWS) were used as adsorbents. Regression equation formulated for boron adsorption was represented as a function of response variables. The results obtained from the study on parameters showed that as pH increased and temperature decreased boron removal by adsorption increased. Adsorbed boron amount on AWS was higher than that of NAWS. Maximum boron removal was obtained at pH 10 and 20°C for both adsorbents. Adsorption data obtained from batch adsorption experiments carried out with NAWS and AWS fitted to the Langmuir equation. The batch adsorption capacities were found in mg/g: 96.15 and 178.57 for NAWS and AWS, respectively. The capacity value for column study was obtained by graphical integration as 219.01 mg/g for AWS. The Thomas and the Yoon-Nelson models were applied to experimental data to predict the breakthrough curves and to determine the characteristic parameters of the column useful for process design.