TY - JOUR
T1 - Potentiometric titration data on the enhancement of sorption capacity of surface-modified biosorbents
T2 - functional groups scanning method
AU - Kim, Sok
AU - Cho, Chul Woong
AU - Song, Myung Hee
AU - Bediako, John Kwame
AU - Yun, Yeoung Sang
AU - Choi, Yoon E.
N1 - Funding Information:
Acknowledgements This work was supported by the Korea University and Government of South Korea through the National Research Foundation of Korea (NRF-2017R1A2A1A05001207 and NRF-2016R1D1A1B03932773), and Korea Basic Science Institute under the R&D program (Project No. C38703), supervised by the Ministry of Science, ICT and Future Planning. This research was also supported by a grant from the Marine Biotechnology Program (20170488) funded by the Ministry of Oceans and Fisheries, Korea. Funding was provided by Korea CCS R&D Center (Grant No. KCRC-2014M1A8A1049278).
Funding Information:
This work was supported by the Korea University and?Government of South Korea through the National Research Foundation of Korea (NRF-2017R1A2A1A05001207 and NRF-2016R1D1A1B03932773), and Korea Basic Science Institute under the R&D program (Project No. C38703), supervised by the Ministry of Science, ICT and Future Planning. This research was also supported by a grant from the Marine Biotechnology Program (20170488) funded by the Ministry of Oceans and Fisheries, Korea. Funding was provided by Korea CCS R&D Center (Grant No. KCRC-2014M1A8A1049278).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - In the present study, the relationship between the amount of anionic or cationic binding sites and adsorption capacities of biosorbents is discussed through potentiometric titration and mathematical model equations (proton-binding models). The poly(acrylic) acid-modified biomass (PAAB) and polyethylenimine-modified biomass (PEIB) derived from raw biomass (RB) Corynebacterium glutamicum (C. glutamicum) were used as cationic and anionic binding site-enhanced biosorbents, respectively. To obtain the sorption capacities of biomasses for anionic and cationic pollutants, isotherm tests were carried out using Basic Blue 3 (BB3, at pH 9) and Reactive Red 4 (RR4, at pH 2) as model anionic and cationic pollutants, respectively. The maximum sorption capacity (qm) of PAAB was 1.28 times higher than RB for BB3. In the case of PEIB, the sorption capacity was found to be 3.27 times higher than RB for RR4. A quantitative information of functional groups could be estimated by the application of proton-binding models to potentiometric titration results. In addition, the buffering capacities of functional groups were obtained from the parameters of pK models. An increasing ratio of sorption capacities was similar to that of the buffering capacities of modified biosorbents obtained from all conditions of pK models. Therefore, the fact that the sorption capacity of modified biomass can be predicted by comparing it with the buffering capacity of biosorbents was confirmed.
AB - In the present study, the relationship between the amount of anionic or cationic binding sites and adsorption capacities of biosorbents is discussed through potentiometric titration and mathematical model equations (proton-binding models). The poly(acrylic) acid-modified biomass (PAAB) and polyethylenimine-modified biomass (PEIB) derived from raw biomass (RB) Corynebacterium glutamicum (C. glutamicum) were used as cationic and anionic binding site-enhanced biosorbents, respectively. To obtain the sorption capacities of biomasses for anionic and cationic pollutants, isotherm tests were carried out using Basic Blue 3 (BB3, at pH 9) and Reactive Red 4 (RR4, at pH 2) as model anionic and cationic pollutants, respectively. The maximum sorption capacity (qm) of PAAB was 1.28 times higher than RB for BB3. In the case of PEIB, the sorption capacity was found to be 3.27 times higher than RB for RR4. A quantitative information of functional groups could be estimated by the application of proton-binding models to potentiometric titration results. In addition, the buffering capacities of functional groups were obtained from the parameters of pK models. An increasing ratio of sorption capacities was similar to that of the buffering capacities of modified biosorbents obtained from all conditions of pK models. Therefore, the fact that the sorption capacity of modified biomass can be predicted by comparing it with the buffering capacity of biosorbents was confirmed.
KW - Biomass
KW - Biosorbent
KW - Biosorption
KW - Buffering capacity
KW - Potentiometric titration
KW - Surface modification
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U2 - 10.1007/s10098-018-1542-2
DO - 10.1007/s10098-018-1542-2
M3 - Article
AN - SCOPUS:85047336970
VL - 20
SP - 2191
EP - 2199
JO - Clean Technologies and Environmental Policy
JF - Clean Technologies and Environmental Policy
SN - 1618-954X
IS - 10
ER -