Cited by 83Adsorption and biosorption for pollutant removalCoagulation and Flocculation StudiesCarbon Dioxide Capture Technologies

Biosorption of Methylene Blue by De-Oiled Algal Biomass: Equilibrium, Kinetics and Artificial Neural Network Modelling

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Maurya, Rahulkumar, Ghosh, Tonmoy, Paliwal, Chetan, Shrivastav, Anupama, Chokshi, Kaumeel, Pancha, Imran, Ghosh, Arup, Mishra, Sandhya·2014·PLoS ONE

Abstract

The main objective of the present study is to effectively utilize the de-oiled algal biomass (DAB) to minimize the waste streams from algal biofuel by using it as an adsorbent. Methylene blue (MB) was used as a sorbate for evaluating the potential of DAB as a biosorbent. The DAB was characterized by SEM, FTIR, pHPZC, particle size, pore volume and pore diameter to understand the biosorption mechanism. The equilibrium studies were carried out by variation in different parameters, i.e., pH (2-9), temperature (293.16-323.16 K), biosorbent dosage (1-10 g L(-1)), contact time (0-1,440 min), agitation speed (0-150 rpm) and dye concentration (25-2,500 mg L(-1)). MB removal was greater than 90% in both acidic and basic pH. The optimum result of MB removal was found at 5-7 g L(-1) DAB concentration. DAB removes 86% dye in 5 minutes under static conditions and nearly 100% in 24 hours when agitated at 150 rpm. The highest adsorption capacity was found 139.11 mg g(-1) at 2,000 mg L(-1) initial MB concentration. The process attained equilibrium in 24 hours. It is an endothermic process whose spontaneity increases with temperature. MB biosorption by DAB follows pseudo-second order kinetics. Artificial neural network (ANN) model also validates the experimental dye removal efficiency (R2 = 0.97) corresponding with theoretically predicted values. Sensitivity analysis suggests that temperature and agitation speed affect the process most with 23.62% and 21.08% influence on MB biosorption, respectively. Dye adsorption capacity of DAB in fixed bed column was 107.57 mg g(-1) in preliminary study while it went up to 139.11 mg g(-1) in batch studies. The probable mechanism for biosorption in this study is chemisorptions via surface active charges in the initial phase followed by physical sorption by occupying pores of DAB.

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Authors
Maurya, R., Ghosh, T., Paliwal, C., Shrivastav, A., Chokshi, K., Pancha, I., Ghosh, A., & Mishra, S.
Affiliations
Central Salt and Marine Chemicals Research Institute (IN)
Corresponding author
Mishra, Sandhya
Venue
PLoS ONE
Published
2014-10-13
Volume
9
Issue
10
Pages
e109545
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2013212640
Cited by
83
References
53
Citations by year
2026: 3 · 2025: 6 · 2024: 4 · 2023: 8 · 2022: 14 · 2021: 8 · 2020: 10 · 2019: 7 · 2018: 4 · 2017: 4 · 2016: 12 · 2015: 2 · 2014: 1
FWCI
4.81
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Ministry of Earth Sciences
  • China Scholarship Council
  • Academy of Scientific and Innovative Research
  • Central Salt and Marine Chemicals Research Institute, Council of Scientific and Industrial Research
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
  • Physical Sciences › Environmental Science › Water Science and Technology › Coagulation and Flocculation Studies
  • Physical Sciences › Engineering › Mechanical Engineering › Carbon Dioxide Capture Technologies
Keywords
methylene blue, biosorption, dye removal, adsorption kinetics, pseudo-second-order kinetics, adsorption isotherms, neural network model, fixed-bed column, chemisorption, physisorption, pH effect, temperature effects, stirring speed
MeSH terms
Adsorption, Kinetics, Methylene Blue, Thermodynamics, Neural Networks, Computer, Water Purification, Biomass, Wastewater

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