Surface reaction of Bacillus cereus biomass and its biosorption for lead and copper ions

State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Journal of Environmental Sciences (Impact Factor: 2). 02/2007; 19(4):403-8. DOI: 10.1016/S1001-0742(07)60067-9
Source: PubMed


In this study, the surface chemical functional groups of Bacillus cereus biomass were identified by Fourier transform infrared (FTIR) analytical technique. It had been shown that the B. cereus cells mainly contained carboxyl, hydroxyl, phosphate, amino and amide functional groups. The potentiometric titration was conducted to explain the surface acid-base properties of aqueous B. cereus biomass. The computer program FITEQL 4.0 was used to perform the model calculations. The optimization results indicated that three sites-three pKas model, which assumed the cell surface to have three distinct types of surface organic functional groups based on the IR analysis results, simulated the experimental results very well. Moreover, batch adsorption experiments were performed to investigate biosorption behavior of Cu(II) and Pb(II) ions onto the biomass. Obviously, the adsorption equilibrium data for the two ions were reasonably described by typical Langmuir isotherm.

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    • "The cause of these shifts is difficult to be determined, but the results revealed interactions between the Pb(II) ions, hydroxyl, amino and carboxyl groups on the biomass surface similar to those reported by other authors [8] [13] [23]. "
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    ABSTRACT: Biosorption of Pb(II) ions from a model solution was investigated using Streptomyces fradiae biomass as biosorbent pretreated with sodium hydroxide. The mycelium is a waste product from the biotechnological production of the macrolide antibiotic tylosin in the pharmaceutical industry. The biosorption study was conducted in a batch system with respect to initial pH, initial metal concentration and contact time. For a description of the biosorption equilibrium, Langmuir and Freundlich adsorption models were used. Equilibrium data fitted better to the Langmuir model and the calculated maximum biosorption capacity was 138.88 mg·g−1 at initial pH 5.0, contact time of 120 min, biosorbent dose of 1 g·dm−3 and concentration range for the Pb(II) ions from 10 to 200 mg·dm−3. Pseudo-first and pseudo-second order kinetic models were applied to the experimental data. The results indicated that the Pb(II) uptake process followed the Ho equation. The interference of co-present ions Cu(II) and Zn(II) on the Pb(II) biosorption was also studied. It was determined that at the highest Pb(II) concentration (200 mg·dm−3) Cu(II) and Zn(II) caused 27.22% and 24.88% decreasing in Pb(II) uptake, respectively. The obtained results could be useful in prospective applications of chemically modified waste mycelium of S. fradiae as an alternative biosorbent for Pb(II) removal from aqueous solutions.
    Biotechnology & Biotechnological Equipment 04/2015; 29(4):1-7. DOI:10.1080/13102818.2015.1036775 · 0.30 Impact Factor
    • "The shifting of wave number as well as disappearance and reappearance of spectral bands from raw biomass to metal-loaded biomass was used to illustrate the binding of metal ions on biomass surface. Fourier transform infrared (FTIR) spectroscopy results revealed that carboxylic, amine, amide, phosphate, hydroxyl, carbonyl , phosphoryl, sulphonate, aldehyde, and amide sites of bacterial cells are the key functional groups for metal ion interaction (Guo et al. 2012; Hasan et al. 2012; Masood and Malik 2011; Aryal et al. 2010; Gabr et al. 2008; Jian-hua et al. 2007; Kang et al. 2007; Tunali et al. 2006; Sar et al. 1999). Oliveira et al. (2014) showed that alginate carboxylate groups are responsible for La(III) complexation on Sargassum sp. "
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    ABSTRACT: Heavy metals are among the most common pollutants found in the environment. Health problems due to the heavy metal pollution become a major concern throughout the world, and therefore, various treatment technologies such as reverse osmosis, ion exchange, solvent extraction, chemical precipitation, and adsorption are adopted to reduce or eliminate their concentration in the environment. Biosorption is a cost-effective and environmental friendly technique, and it can be used for detoxification of heavy metals in industrial effluents as an alternative treatment technology. Biosorption characteristics of various bacterial species are reviewed here with respect to the results reported so far. The role of physical, chemical, and biological modification of bacterial cells for heavy metal removal is presented. The paper evaluates the different kinetic, equilibrium, and thermodynamic models used in bacterial sorption of heavy metals. Biomass characterization and sorption mechanisms as well as elution of metal ions and regeneration of biomass are also discussed.
    Environmental Monitoring and Assessment 01/2015; 187(1):4173. DOI:10.1007/s10661-014-4173-z · 1.68 Impact Factor
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    • "The peak at 1633.4 cm À 1 may attribute to functional groups such as CQC, CQO, and CQN. The band at 1426.7 cm À 1 is assigned to stretching of R–C–H groups whereas the band at 1373.6 assigned to stretching of R–C–H, C–O and C–N groups (Pan et al., 2007 "
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    ABSTRACT: In this work, Taguchi L32 experimental design was applied to optimize biosorption of Cu(2+) ions by an easily available biosorbent, Spaghnum moss. With this aim, batch biosorption tests were performed to achieve targeted experimental design with five factors (concentration, pH, biosorbent dosage, temperature and agitation time) at two different levels. Optimal experimental conditions were determined by calculated signal-to-noise ratios. "Higher is better" approach was followed to calculate signal-to-noise ratios as it was aimed to obtain high metal removal efficiencies. The impact ratios of factors were determined by the model. Within the study, Cu(2+) biosorption efficiencies were also predicted by using Taguchi method. Results of the model showed that experimental and predicted values were close to each other demonstrating the success of Taguchi approach. Furthermore, thermodynamic, isotherm and kinetic studies were performed to explain the biosorption mechanism. Calculated thermodynamic parameters were in good accordance with the results of Taguchi model.
    Ecotoxicology and Environmental Safety 07/2014; 107C:229-235. DOI:10.1016/j.ecoenv.2014.06.018 · 2.76 Impact Factor
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