Methylene blue removal using grape leaves waste: optimization and modeling
Abstract The present study focuses on the preparation of activated carbon (AC) from grape leaves as a low cost, non-toxic, efficient and available adsorbent for the removal of methylene blue (MB) from aqueous solution. The experimental design and data modeling have been carried out using response su...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-04-01
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| Series: | Applied Water Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13201-022-01648-w |
| _version_ | 1819210409591177216 |
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| author | Seyyed Alireza Mousavi Arezoo Mahmoudi Samira Amiri Parastoo Darvishi Elham Noori |
| author_facet | Seyyed Alireza Mousavi Arezoo Mahmoudi Samira Amiri Parastoo Darvishi Elham Noori |
| author_sort | Seyyed Alireza Mousavi |
| collection | DOAJ |
| description | Abstract The present study focuses on the preparation of activated carbon (AC) from grape leaves as a low cost, non-toxic, efficient and available adsorbent for the removal of methylene blue (MB) from aqueous solution. The experimental design and data modeling have been carried out using response surface methodology (RSM) through DoE software version 8.0.0. The effect of independent variables including initial dye concentration (100–500 mg/L), pH (3–11), contact time (10–90 min) and adsorbent dosage (0.25–12.25 g/L) on dye removal was determined using the response surface methodology (RSM). The results of analysis of variance (ANOVA) displayed high R 2 value of 0.91% for dye removal that shows the developed model has acceptable accuracy. The highest removal efficiency of MB (97.4%) was obtained at optimum condition (pH: 11, adsorbent dosage 12.5 g/L, MB concentration 100 mg/L and contact time 90 min). The results indicated that the initial dye concentration and adsorbent dosage play an important role in increasing the adsorbent efficiency for adsorption of MB. The equilibrium data onto the adsorption of MB were measured using Langmuir and Freundlich, isotherm models. The experimental data obtained follow the Langmuir model (R 2 = 0.88). In addition, the second-order kinetic model is more consistent with the adsorption data. |
| first_indexed | 2024-12-23T06:10:43Z |
| format | Article |
| id | doaj.art-da450222b2ab416490af59c0d011be4d |
| institution | Directory Open Access Journal |
| issn | 2190-5487 2190-5495 |
| language | English |
| last_indexed | 2024-12-23T06:10:43Z |
| publishDate | 2022-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Water Science |
| spelling | doaj.art-da450222b2ab416490af59c0d011be4d2022-12-21T17:57:27ZengSpringerOpenApplied Water Science2190-54872190-54952022-04-0112511110.1007/s13201-022-01648-wMethylene blue removal using grape leaves waste: optimization and modelingSeyyed Alireza Mousavi0Arezoo Mahmoudi1Samira Amiri2Parastoo Darvishi3Elham Noori4Department of Environmental Health, School of Public Health, and Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical SciencesStudent research committee, Kermanshah University of Medical SciencesStudent research committee, Kermanshah University of Medical SciencesStudent research committee, Kermanshah University of Medical SciencesDepartment of Environmental Health, School of Public Health, and Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical SciencesAbstract The present study focuses on the preparation of activated carbon (AC) from grape leaves as a low cost, non-toxic, efficient and available adsorbent for the removal of methylene blue (MB) from aqueous solution. The experimental design and data modeling have been carried out using response surface methodology (RSM) through DoE software version 8.0.0. The effect of independent variables including initial dye concentration (100–500 mg/L), pH (3–11), contact time (10–90 min) and adsorbent dosage (0.25–12.25 g/L) on dye removal was determined using the response surface methodology (RSM). The results of analysis of variance (ANOVA) displayed high R 2 value of 0.91% for dye removal that shows the developed model has acceptable accuracy. The highest removal efficiency of MB (97.4%) was obtained at optimum condition (pH: 11, adsorbent dosage 12.5 g/L, MB concentration 100 mg/L and contact time 90 min). The results indicated that the initial dye concentration and adsorbent dosage play an important role in increasing the adsorbent efficiency for adsorption of MB. The equilibrium data onto the adsorption of MB were measured using Langmuir and Freundlich, isotherm models. The experimental data obtained follow the Langmuir model (R 2 = 0.88). In addition, the second-order kinetic model is more consistent with the adsorption data.https://doi.org/10.1007/s13201-022-01648-wActivated carbonGrape leavesAdsorbentModelingMethylene blue |
| spellingShingle | Seyyed Alireza Mousavi Arezoo Mahmoudi Samira Amiri Parastoo Darvishi Elham Noori Methylene blue removal using grape leaves waste: optimization and modeling Applied Water Science Activated carbon Grape leaves Adsorbent Modeling Methylene blue |
| title | Methylene blue removal using grape leaves waste: optimization and modeling |
| title_full | Methylene blue removal using grape leaves waste: optimization and modeling |
| title_fullStr | Methylene blue removal using grape leaves waste: optimization and modeling |
| title_full_unstemmed | Methylene blue removal using grape leaves waste: optimization and modeling |
| title_short | Methylene blue removal using grape leaves waste: optimization and modeling |
| title_sort | methylene blue removal using grape leaves waste optimization and modeling |
| topic | Activated carbon Grape leaves Adsorbent Modeling Methylene blue |
| url | https://doi.org/10.1007/s13201-022-01648-w |
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