Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent
Intensive greenhouse agriculture annually produces large amounts of residues. The present work focused on the study of the dynamic adsorption of cobalt from aqueous solutions over a vegetal residue from intensive greenhouse cultivation. The influence of three operating variables, feed-flow rate, inl...
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MDPI AG
2022-10-01
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| Online Access: | https://www.mdpi.com/2297-8739/9/10/316 |
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| author | Gabriel Blázquez María Ángeles Martín-Lara Irene Iáñez-Rodríguez Inés Morales Antonio Pérez Mónica Calero |
| author_facet | Gabriel Blázquez María Ángeles Martín-Lara Irene Iáñez-Rodríguez Inés Morales Antonio Pérez Mónica Calero |
| author_sort | Gabriel Blázquez |
| collection | DOAJ |
| description | Intensive greenhouse agriculture annually produces large amounts of residues. The present work focused on the study of the dynamic adsorption of cobalt from aqueous solutions over a vegetal residue from intensive greenhouse cultivation. The influence of three operating variables, feed-flow rate, inlet concentration of cobalt and bed height, was analyzed. According to the results, the variable that particularly affected the percentage of cobalt adsorbed was the feed-flow rate. The results were also fitted to an adaptive neuro fuzzy system (ANFIS) model to predict cobalt adsorption from aqueous solutions and choose the most favorable operating conditions. Results were evaluated using root mean squared error (RMSE), coefficient of determination (R2) and other typical statistic factors as performance parameters. The experimental and model outputs displayed acceptable result for ANFIS, providing R<sup>2</sup> values higher than 0.999 for both cobalt removal (%) and biosorption capacity (mg/g). In addition, the results showed that the best operating conditions to maximize the removal of cobalt were 4 mL/min of feed-flow rate, 25 mg/L of inlet concentration and 11.5 cm of bed-height. |
| first_indexed | 2024-03-09T19:29:26Z |
| format | Article |
| id | doaj.art-1d4c6be802c647d98053235d245735a2 |
| institution | Directory Open Access Journal |
| issn | 2297-8739 |
| language | English |
| last_indexed | 2024-03-09T19:29:26Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Separations |
| spelling | doaj.art-1d4c6be802c647d98053235d245735a22023-11-24T02:32:47ZengMDPI AGSeparations2297-87392022-10-0191031610.3390/separations9100316Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural SorbentGabriel Blázquez0María Ángeles Martín-Lara1Irene Iáñez-Rodríguez2Inés Morales3Antonio Pérez4Mónica Calero5Chemical Engineering Department, Faculty of Sciences, University of Granada, 18071 Granada, SpainChemical Engineering Department, Faculty of Sciences, University of Granada, 18071 Granada, SpainChemical Engineering Department, Faculty of Sciences, University of Granada, 18071 Granada, SpainChemical Engineering Department, Faculty of Sciences, University of Granada, 18071 Granada, SpainChemical Engineering Department, Faculty of Sciences, University of Granada, 18071 Granada, SpainChemical Engineering Department, Faculty of Sciences, University of Granada, 18071 Granada, SpainIntensive greenhouse agriculture annually produces large amounts of residues. The present work focused on the study of the dynamic adsorption of cobalt from aqueous solutions over a vegetal residue from intensive greenhouse cultivation. The influence of three operating variables, feed-flow rate, inlet concentration of cobalt and bed height, was analyzed. According to the results, the variable that particularly affected the percentage of cobalt adsorbed was the feed-flow rate. The results were also fitted to an adaptive neuro fuzzy system (ANFIS) model to predict cobalt adsorption from aqueous solutions and choose the most favorable operating conditions. Results were evaluated using root mean squared error (RMSE), coefficient of determination (R2) and other typical statistic factors as performance parameters. The experimental and model outputs displayed acceptable result for ANFIS, providing R<sup>2</sup> values higher than 0.999 for both cobalt removal (%) and biosorption capacity (mg/g). In addition, the results showed that the best operating conditions to maximize the removal of cobalt were 4 mL/min of feed-flow rate, 25 mg/L of inlet concentration and 11.5 cm of bed-height.https://www.mdpi.com/2297-8739/9/10/316adaptive neuro fuzzy systembiosorptioncobaltfixed-bed columngreenhouse crop residue |
| spellingShingle | Gabriel Blázquez María Ángeles Martín-Lara Irene Iáñez-Rodríguez Inés Morales Antonio Pérez Mónica Calero Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent Separations adaptive neuro fuzzy system biosorption cobalt fixed-bed column greenhouse crop residue |
| title | Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent |
| title_full | Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent |
| title_fullStr | Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent |
| title_full_unstemmed | Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent |
| title_short | Cobalt Biosorption in Fixed-Bed Column Using Greenhouse Crop Residue as Natural Sorbent |
| title_sort | cobalt biosorption in fixed bed column using greenhouse crop residue as natural sorbent |
| topic | adaptive neuro fuzzy system biosorption cobalt fixed-bed column greenhouse crop residue |
| url | https://www.mdpi.com/2297-8739/9/10/316 |
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