Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation
Natural mulberry leaves and carboxylic acid-modified mulberry (Morus alba L.) leaves were used for the first time to scrutinize the effects of modification on the retention efficiency of an anionic dye (Remazol Brilliant Blue R (RBBR)) from aqueous solutions to suggest an economical and promising ad...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-07-01
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| Series: | Journal of Water and Health |
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| Online Access: | http://jwh.iwaponline.com/content/21/7/869 |
| _version_ | 1797745575656947712 |
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| author | Celal Duran Sengul Tugba Ozeken Aslihan Yilmaz Camoglu Duygu Ozdes |
| author_facet | Celal Duran Sengul Tugba Ozeken Aslihan Yilmaz Camoglu Duygu Ozdes |
| author_sort | Celal Duran |
| collection | DOAJ |
| description | Natural mulberry leaves and carboxylic acid-modified mulberry (Morus alba L.) leaves were used for the first time to scrutinize the effects of modification on the retention efficiency of an anionic dye (Remazol Brilliant Blue R (RBBR)) from aqueous solutions to suggest an economical and promising adsorbent for the treatment of dye-contaminated water. The characterization of the adsorbents was accomplished through common techniques including SEM, FTIR, and pHpzc determination. Several parameters studied in batch experiments pointed out that the initial pH of 2.0 and the contact time of 240 min were optimum conditions for all the developed RBBR uptake processes. An artificial neural network (ANN) model was applied to formulate a forecast model for the uptake efficiency of RBBR. The experimental data were assessed by different kinetic and isotherm models to explain the mechanism of the developed processes in more detail. Maximum monolayer adsorption capacities of natural mulberry leaves and acetic acid-, citric acid-, and oxalic acid-modified mulberry leaves were determined as 64.5, 95.2, 84.8, and 91.7 mg g−1, respectively, by the Langmuir isotherm model. These results demonstrated that the modification with carboxylic acids significantly increases the anionic dye adsorption capacity of the mulberry leaves.
HIGHLIGHTS
Natural mulberry leaves and carboxylic acid-modified mulberry leaves were used for the adsorptive removal of an anionic dye for the first time.;
An economical and promising adsorbent was developed for industrial wastewater treatment applications.;
Modification with carboxylic acids significantly increases the anionic dye adsorption capacity of the mulberry leaves.;
ANN model is suitable for the prediction of RBBR adsorption efficiency.; |
| first_indexed | 2024-03-12T15:25:15Z |
| format | Article |
| id | doaj.art-fc98d63d0a9543e19e655cb7eec5c653 |
| institution | Directory Open Access Journal |
| issn | 1477-8920 1996-7829 |
| language | English |
| last_indexed | 2024-03-12T15:25:15Z |
| publishDate | 2023-07-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Water and Health |
| spelling | doaj.art-fc98d63d0a9543e19e655cb7eec5c6532023-08-10T13:47:36ZengIWA PublishingJournal of Water and Health1477-89201996-78292023-07-0121786988310.2166/wh.2023.025025Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluationCelal Duran0Sengul Tugba Ozeken1Aslihan Yilmaz Camoglu2Duygu Ozdes3 Faculty of Sciences, Department of Chemistry, Karadeniz Technical University, 61080 Trabzon, Türkiye Faculty of Sciences, Department of Chemistry, Karadeniz Technical University, 61080 Trabzon, Türkiye Faculty of Sciences, Department of Chemistry, Karadeniz Technical University, 61080 Trabzon, Türkiye Gumushane Vocational School, Chemistry and Chemical Processing Technologies Department, Gumushane University, 29100 Gumushane, Türkiye Natural mulberry leaves and carboxylic acid-modified mulberry (Morus alba L.) leaves were used for the first time to scrutinize the effects of modification on the retention efficiency of an anionic dye (Remazol Brilliant Blue R (RBBR)) from aqueous solutions to suggest an economical and promising adsorbent for the treatment of dye-contaminated water. The characterization of the adsorbents was accomplished through common techniques including SEM, FTIR, and pHpzc determination. Several parameters studied in batch experiments pointed out that the initial pH of 2.0 and the contact time of 240 min were optimum conditions for all the developed RBBR uptake processes. An artificial neural network (ANN) model was applied to formulate a forecast model for the uptake efficiency of RBBR. The experimental data were assessed by different kinetic and isotherm models to explain the mechanism of the developed processes in more detail. Maximum monolayer adsorption capacities of natural mulberry leaves and acetic acid-, citric acid-, and oxalic acid-modified mulberry leaves were determined as 64.5, 95.2, 84.8, and 91.7 mg g−1, respectively, by the Langmuir isotherm model. These results demonstrated that the modification with carboxylic acids significantly increases the anionic dye adsorption capacity of the mulberry leaves. HIGHLIGHTS Natural mulberry leaves and carboxylic acid-modified mulberry leaves were used for the adsorptive removal of an anionic dye for the first time.; An economical and promising adsorbent was developed for industrial wastewater treatment applications.; Modification with carboxylic acids significantly increases the anionic dye adsorption capacity of the mulberry leaves.; ANN model is suitable for the prediction of RBBR adsorption efficiency.;http://jwh.iwaponline.com/content/21/7/869adsorptionartificial neural networkisothermkineticsmulberry leavesremazol brilliant blue r |
| spellingShingle | Celal Duran Sengul Tugba Ozeken Aslihan Yilmaz Camoglu Duygu Ozdes Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation Journal of Water and Health adsorption artificial neural network isotherm kinetics mulberry leaves remazol brilliant blue r |
| title | Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation |
| title_full | Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation |
| title_fullStr | Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation |
| title_full_unstemmed | Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation |
| title_short | Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation |
| title_sort | enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid modified mulberry leaves artificial neural network modeling isotherm and kinetics evaluation |
| topic | adsorption artificial neural network isotherm kinetics mulberry leaves remazol brilliant blue r |
| url | http://jwh.iwaponline.com/content/21/7/869 |
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