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Figueira M, Srivastava V, Reig M, Valderrama C, Lassi U. Reclamation of boron from solid and liquid streams for fertilizer application. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 367:122039. [PMID: 39094420 DOI: 10.1016/j.jenvman.2024.122039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/04/2024] [Accepted: 07/27/2024] [Indexed: 08/04/2024]
Abstract
Boron (B) is a crucial element for efficient plant growth and development; therefore, B-based fertilisers have been employed in agricultural applications. The need for B-based fertilisers for agricultural uses is continuously increasing as a result of the world's growing population. It is expected that the global market for B-based fertiliser will grow by around $6.3 billion by 2032; hence, demand for B sources will also increase. In addition to being used in fertiliser, B is also employed in the production of neodymium iron B (NdFeB) permanent magnets. The demand for NdFeB magnets is also continuously increasing. Hence, it is of the utmost importance to reclaim B from secondary resources due to the rising demand for B in a wide variety of applications. This review study addresses the recovery of B from various waste streams. The main focus is on the recovery of B from spent NdFeB magnets, borax sludge, and liquid streams such as brine water, seawater, sewage, industrial wastewater, and agricultural effluents. Different technologies for B recovery are discussed, such as sorption, solvent extraction, membrane processes, precipitation, and hydrometallurgical methods. Solvent extraction has been found to be a very effective approach for reclaiming B from spent NdFeB magnet waste and from liquid streams with high B concentration (>1-2 g/L). Further, the application of B-based fertiliser in agriculture application is reviewed. Challenges associated with B recovery from waste streams and future perspectives are also highlighted in this review.
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Affiliation(s)
- Mariana Figueira
- Chemical Engineering Department, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC)-BarcelonaTECH, C/ Eduard Maristany 10-14, Campus Diagonal-Besòs, 08930 Barcelona, Spain; Barcelona Research Center for Multiscale Science and Engineering, Campus Diagonal-Besòs, 08930 Barcelona, Spain
| | - Varsha Srivastava
- Research Unit of Sustainable Chemistry, Faculty of Technology, University of Oulu, P.O. Box 3000, FI-90014, Oulu, Finland
| | - Mònica Reig
- Chemical Engineering Department, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC)-BarcelonaTECH, C/ Eduard Maristany 10-14, Campus Diagonal-Besòs, 08930 Barcelona, Spain; Barcelona Research Center for Multiscale Science and Engineering, Campus Diagonal-Besòs, 08930 Barcelona, Spain.
| | - César Valderrama
- Chemical Engineering Department, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC)-BarcelonaTECH, C/ Eduard Maristany 10-14, Campus Diagonal-Besòs, 08930 Barcelona, Spain; Barcelona Research Center for Multiscale Science and Engineering, Campus Diagonal-Besòs, 08930 Barcelona, Spain
| | - Ulla Lassi
- Research Unit of Sustainable Chemistry, Faculty of Technology, University of Oulu, P.O. Box 3000, FI-90014, Oulu, Finland; Kokkola University Consortium Chydenius, University of Jyväskylä, Kokkola, Finland
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Morgenstern D, Wolf-Levy H, Tickotsky-Moskovitz N, Cooper I, Buchman AS, Bennett DA, Beeri MS, Levin Y. Optimized Glycopeptide Enrichment Method-It Is All about the Sauce. Anal Chem 2022; 94:10308-10313. [PMID: 35764435 PMCID: PMC9330304 DOI: 10.1021/acs.analchem.2c00524] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
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Protein glycosylation
is a family of posttranslational modifications
that play a crucial role in many biological pathways and diseases.
The enrichment and analysis of such a diverse family of modifications
are very challenging because of the number of possible glycan–peptide
combinations. Among the methods used for the enrichment of glycopeptides,
boronic acid never lived up to its promise. While most studies focused
on improving the affinity of the boronic acids to the sugars, we discovered
that the buffer choice is just as important for successful enrichment
if not more so. We show that an amine-less buffer allows for the best
glycoproteomic coverage, in human plasma and brain specimens, improving
total quantified glycopeptides by over 10-fold, and reaching 1598
N-linked glycopeptides in the brain and 737 in nondepleted plasma.
We speculate that amines compete with the glycans for boronic acid
binding, and therefore the elimination of them improved the method
significantly.
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Affiliation(s)
- David Morgenstern
- The de Botton Institute for Protein Profiling, Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Hila Wolf-Levy
- The de Botton Institute for Protein Profiling, Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Nili Tickotsky-Moskovitz
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, New York 10029, United States
| | - Itzik Cooper
- The Jospeh Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer 52621, Israel
| | - Aron S Buchman
- Rush Alzheimer's Research Center, Rush University, Chicago, Illinois 60612, United States
| | - David A Bennett
- Rush Alzheimer's Research Center, Rush University, Chicago, Illinois 60612, United States
| | - Michal Schnaider Beeri
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, New York 10029, United States.,The Jospeh Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer 52621, Israel
| | - Yishai Levin
- The de Botton Institute for Protein Profiling, Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot 7610001, Israel
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Taşçı T, Küçükyıldız G, Hepyalçın S, Ciğeroğlu Z, Şahin S, Vasseghian Y. Boron removal from aqueous solutions by chitosan/functionalized-SWCNT-COOH: Development of optimization study using response surface methodology and simulated annealing. CHEMOSPHERE 2022; 288:132554. [PMID: 34648780 DOI: 10.1016/j.chemosphere.2021.132554] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/03/2021] [Accepted: 10/10/2021] [Indexed: 06/13/2023]
Abstract
Boron contamination in water resources (especially drinking waters and agricultural land) is a major problem for the ecosystem. In this study, a novel synthesized chitosan/functionalized-SWCNT-COOH was prepared to separate boron (as boric acid) from aqueous solutions. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) analysis revealed that SWCNT was dispersed in chitosan homogenously. Moreover, this study has related to the constrained optimization problem with an engineering approach. Response surface method (RSM) with face-centered central composite design (FCCCD) was chosen for maximizing the adsorption capacity as well as determining optimal independent factors such as pH, adsorbent dose, and concentration of boric acid. The optimized response (adsorption capacity) was reached 62.16 mg g-1 under the optimal conditions (98.77 mg L-1 of boric acid concentration, pH of 5.46 and 76 min). The present study has indicated that the synthesized material can be used as an adsorbent for eliminating boric acid from aqueous solutions depending on its high adsorbent capacity to remove boron and has better performance than existing adsorbents. Furthermore, simulated annealing (SA) optimization technique was used to compare the findings of RSM. Moreover, the selected optimization techniques were compared with error functions. The optimal conditions derived from SA were 91.17 mg L-1 of boric acid concentration, pH of 5.86, and 76.17 min. The optimal adsorption capacity of SA was found to be 62.06 mg g-1. These results revealed that the predictions of the two models are very close to each other.
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Affiliation(s)
- Tolga Taşçı
- Uşak University, Engineering Faculty, Department of Chemical Engineering, Uşak, 64300, Turkey
| | - Gürkan Küçükyıldız
- Uşak University, Engineering Faculty, Department of Electrical and Electronics Engineering, Uşak, 64300, Turkey
| | - Selin Hepyalçın
- Uşak University, Engineering Faculty, Department of Chemical Engineering, Uşak, 64300, Turkey
| | - Zeynep Ciğeroğlu
- Uşak University, Engineering Faculty, Department of Chemical Engineering, Uşak, 64300, Turkey.
| | - Selin Şahin
- Istanbul University-Cerrahpaşa, Engineering Faculty, Department of Chemical Engineering, Istanbul, Turkey
| | - Yasser Vasseghian
- Department of Chemical Engineering, Quchan University of Technology, Quchan, Iran.
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