TY - JOUR
T1 - Algal biomass-derived nano-activated carbon for the rapid removal of tetracycline by adsorption
T2 - Experimentation and adaptive neuro-fuzzy inference system modeling
AU - Vinayagam, Ramesh
AU - Murugesan, Gokulakrishnan
AU - Varadavenkatesan, Thivaharan
AU - Bhole, Ruchi
AU - Goveas, Louella Concepta
AU - Samanth, Adithya
AU - Ahmed, Mohammad Boshir
AU - Selvaraj, Raja
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - Tetracycline (TC) is one of the antibiotics, which is detected at high titre in aquatic systems, inducing microbial resistance. This study highlights the adsorptive removal of TC by activated carbon (AC) using low temperature carbonization obtained from Ulva prolifera macroalgal biomass – an abundantly available algae in southern Indian beaches. The AC had rough, irregular, and porous structure with large specific surface area of 197.53 m2/g. The adsorption data was modelled using adaptive neuro-fuzzy inference system that fitted the data satisfactorily. Pseudo-second-order kinetics well-suited TC adsorption confirming to chemisorption. Both Langmuir and Freundlich isotherms suited-well to the data with monolayer adsorption capacity of 54.04 mg/g, which emphasized the suitability of using the algal biomass-derived AC for TC removal over other adsorbents. Therefore, the present investigation highlights the use of a new low-cost nanoadsorbent developed from algal biomass along with the tremendous potential of ANFIS in predicting the adsorption process.
AB - Tetracycline (TC) is one of the antibiotics, which is detected at high titre in aquatic systems, inducing microbial resistance. This study highlights the adsorptive removal of TC by activated carbon (AC) using low temperature carbonization obtained from Ulva prolifera macroalgal biomass – an abundantly available algae in southern Indian beaches. The AC had rough, irregular, and porous structure with large specific surface area of 197.53 m2/g. The adsorption data was modelled using adaptive neuro-fuzzy inference system that fitted the data satisfactorily. Pseudo-second-order kinetics well-suited TC adsorption confirming to chemisorption. Both Langmuir and Freundlich isotherms suited-well to the data with monolayer adsorption capacity of 54.04 mg/g, which emphasized the suitability of using the algal biomass-derived AC for TC removal over other adsorbents. Therefore, the present investigation highlights the use of a new low-cost nanoadsorbent developed from algal biomass along with the tremendous potential of ANFIS in predicting the adsorption process.
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U2 - 10.1016/j.biteb.2022.101291
DO - 10.1016/j.biteb.2022.101291
M3 - Article
AN - SCOPUS:85142166956
SN - 2589-014X
VL - 20
JO - Bioresource Technology Reports
JF - Bioresource Technology Reports
M1 - 101291
ER -
