Optimal parameters for boron recovery in a batch adsorption study: Synthesis, characterization, regeneration, kinetics, and isotherm studies Article Swipe
Baker Nasser Saleh Al-dhawi
,
Shamsul Rahman Mohamed Kutty
,
Aawag Mohsen Alawag
,
Najib Mohammed Yahya Almahbashi
,
Wahid Ali Hamood Altowayti
,
Abdullah Saleh Algamili
,
Nasiru Aminu
,
Al‐Baraa Abdulrahman Al‐Mekhlafi
,
Abdullahi Haruna Birniwa
,
Ahmad Hussaini Jagaba
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.cscee.2023.100508
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.cscee.2023.100508
Boron is essential for plant growth and finds widespread use in industries, contributing to the advancement of materials and technologies. Its dual role underscores its critical importance. This article explores the efficient recovery of boron from aqueous solutions through a batch study employing a newly developed synthesized adsorbent. The successful synthesis of (B Mg–Al-CLDH) was achieved for the purpose of recovering boron (B) from aqueous solutions. Moreover, it can be easily regenerated, contributing to cost-effectiveness and sustainability. The main emphasis of this study revolves around refining essential operational parameters, encompassing contact time, boron concentration, adsorbent dosage, and pH, achieved through Response Surface Methodology (RSM). The RSM analysis unveiled the optimal conditions for achieving maximal boron recovery efficiency, revealing the following values: a contact time of 200 minutes, a boron concentration of 1450 mg/L, an adsorbent dosage of 800 mg/L, and a solution pH of 7. Furthermore, this study meticulously scrutinized the kinetics of boron adsorption, with the Pseudo-First Order model yielding a highly favorable fit characterized by an R2 value of 0.9726. Likewise, the Freundlich isotherm model exhibited a strong correlation with the adsorption process, as reflected by an R2 value of 0.9758, confirming the efficacy of the synthesized adsorbent. The synthesized adsorbent exhibited remarkable regenerative capabilities and reusability, highlighting its potential as a sustainable solution. The regeneration of the synthesized adsorbent consistently yielded excellent results, maintaining a high percentage of boron recovery. In the initial cycle, it achieved an impressive 96 % recovery rate, and even after the fifth cycle, it sustained a commendable 94 % recovery rate. The study outcomes illustrate the efficiency of B Mg–Al-LDH in boron recovery from aqueous solutions and offer valuable guidance on the optimal adsorption conditions. Consequently, B Mg–Al-LDH was selected as the preferred option for boron recovery due to its superior sorption capacity and percentage of boron absorbed.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.cscee.2023.100508
- OA Status
- gold
- Cited By
- 16
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387345622
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387345622Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.cscee.2023.100508Digital Object Identifier
- Title
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Optimal parameters for boron recovery in a batch adsorption study: Synthesis, characterization, regeneration, kinetics, and isotherm studiesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-10-04Full publication date if available
- Authors
-
Baker Nasser Saleh Al-dhawi, Shamsul Rahman Mohamed Kutty, Aawag Mohsen Alawag, Najib Mohammed Yahya Almahbashi, Wahid Ali Hamood Altowayti, Abdullah Saleh Algamili, Nasiru Aminu, Al‐Baraa Abdulrahman Al‐Mekhlafi, Abdullahi Haruna Birniwa, Ahmad Hussaini JagabaList of authors in order
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https://doi.org/10.1016/j.cscee.2023.100508Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.cscee.2023.100508Direct OA link when available
- Concepts
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Adsorption, Boron, Aqueous solution, Freundlich equation, Response surface methodology, Materials science, Chemical engineering, Kinetics, Chemistry, Chromatography, Nuclear chemistry, Organic chemistry, Engineering, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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16Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 8, 2023: 6Per-year citation counts (last 5 years)
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61Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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