Algal biomass-derived nano-activated carbon for the rapid removal of tetracycline by adsorption: Experimentation and adaptive neuro-fuzzy inference system modeling

Ramesh Vinayagam, Gokulakrishnan Murugesan, Thivaharan Varadavenkatesan, Ruchi Bhole, Louella Concepta Goveas, Adithya Samanth, Mohammad Boshir Ahmed, Raja Selvaraj

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number101291
JournalBioresource Technology Reports
Volume20
DOIs
Publication statusPublished - 12-2022

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

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