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Algal biochar :
Abstract
Ämnesord
Stäng
- The present study was aimed at synthesizing algae-derived biochar to examine its effectiveness and adsorption capacity to remove Congo red dye. The independent variables such as dye concentration, adsorbent dose, and adsorption time were optimized by using a central composite design (CCD). An adsorption experiment was conducted to evaluate equilibrium using a detailed experimental design and characterized through XRD, TGA, SEM, EDX, and FTIR analysis. This paper also focuses on evaluating non-linear adsorption isotherm and kinetics to describe the adsorption mechanism along with applying an Artificial neural network to validate the removal efficiency. The maximum Congo red removal efficiency (96.14 %) and maximum adsorption capacity of algal biochar (186.94 mg/g) were achieved with the optimized parameters of 1 mg/L of dye concentration, 0.1 g of adsorbent dose, and 240 min of contact time. Adsorption behavior was well described by Langmuir isotherm and Pseudo-nth order. A multilayer perceptron (MLP) MLP 2–5–1 structure best validates the response. Overall, the study sheds light that Algal-derived biochar is a potential material for the elimination of Congo red dye and contributes to achieving sustainable development goals.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Miljöbioteknik -- Vattenbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Biotechnology -- Water Treatment (hsv//eng)
Nyckelord
- Algae-derived biochar
- Adsorption
- Cango red dye
- Central-composite design
- Artificial neural network
- Chemical Engineering
- Kemiteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Khan, Abdul Ahad
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Naqvi, Salman Ra ...
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Ali, Imtiaz
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Farooq, Wasif
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Anjum, Muhammad ...
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AlMohamadi, Hama ...
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Lam, Su Shiung
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Verma, Meenakshi
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Ng, Hui Suan
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Liew, Rock Keey
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Karlstads universitet