Literature DB >> 17084526

Application of response surface methodology for the biosorption of copper using Rhizopus arrhizus.

B Preetha1, T Viruthagiri.   

Abstract

Response surface methodology was used to study the cumulative effect of the various parameters namely, initial copper ion concentration, pH, temperature, biomass loading and to optimize the process conditions for the maximum removal of copper. For obtaining the mutual interaction between the variables and optimizing these variables, a 2(4) full factorial central composite design using response surface methodology was employed. The analysis of variance (ANOVA) of the quadratic model demonstrates that the model was highly significant. The model was statistically tested and verified by experimentation. A maximum copper removal of 98% was obtained using the biosorption kinetics of copper under optimum conditions.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17084526     DOI: 10.1016/j.jhazmat.2006.09.077

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  4 in total

1.  Assessment and evaluation of cellulase production using ragi (Eleusine coracana) husk as a substrate from thermo-acidophilic Aspergillus fumigatus JCM 10253.

Authors:  Paramjeet Saroj; Manasa P; Korrapati Narasimhulu
Journal:  Bioprocess Biosyst Eng       Date:  2020-08-26       Impact factor: 3.210

2.  Optimization of lead adsorption of mordenite by response surface methodology: characterization and modification.

Authors:  Havva Turkyilmaz; Tolga Kartal; Sibel Yigitarslan Yildiz
Journal:  J Environ Health Sci Eng       Date:  2014-01-06

3.  Fungal remediation of Cd(ii) from wastewater using immobilization techniques.

Authors:  Eman Abdullah M Ali; Mohsen A Sayed; Tahany M A Abdel-Rahman; Rabab Hussein
Journal:  RSC Adv       Date:  2021-01-25       Impact factor: 3.361

4.  Optimization of the preparation process of vinblastine sulfate (VBLS)-loaded folate-conjugated bovine serum albumin (BSA) nanoparticles for tumor-targeted drug delivery using response surface methodology (RSM).

Authors:  Yuangang Zu; Yu Zhang; Xiuhua Zhao; Qi Zhang; Yang Liu; Ru Jiang
Journal:  Int J Nanomedicine       Date:  2009-12-29
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.