Optimal Adsorption of Pefloxacin Antibiotics from Aqueous Solutions: Improved Performance with Metal-Organic Framework MIL-101(Cr)

Tien Tran Nguyen 1
Thuong Thi Nguyen 2
Minh Kim Nguyen 3, 4
Vipin Kumar 5, 6
Ha Tran Huu 7, 8
Anh Thi Kim Le 1
Anh Duc Le 2
Anh Huynh Phuong Nguyen 2
Anh Thu Nguyen 1
Jin Seog Gwag 5, 6
Pham Thi Nam 1, 2
Le Gia Trung 5, 6
Publication typeJournal Article
Publication date2024-05-01
scimago Q1
wos Q2
SJR0.944
CiteScore9.6
Impact factor5.4
ISSN09277757, 18734359
Colloid and Surface Chemistry
Abstract
The widespread use and subsequent release of antibiotics by humans and animals pose health and environmental risks, compelling their removal from aquatic ecosystems. MIL-101(Cr), a metal-organic framework (MOF), exhibits versatile applications in antibiotic adsorption owing to its exceptional structural characteristics. In this context, MIL-101(Cr) nanoparticles are successfully prepared via the hydrothermal method to remove pefloxacin (PEF) from aqueous solutions. The resulting MIL-101(Cr) adsorbents showcase high crystallinity (97.6%), a large surface area (3166 m2/g), broad nanopore sizes, good thermal stability, and efficient reusability. Factors including initial PEF concentration, pH, dosage of adsorbent, and temperature are thoroughly investigated. The findings reveal a good adsorption capacity (254.3 mg/g) with an optimal removal efficiency (99.7%) at 308 K in a neutral pH of 7.0 when the adsorbent dosage is 250 mg/L and the initial PEF concentration is 200 mg/L within 80 min of contact. Among the three adsorption isotherms (Langmuir, Freundlich, Temkin models), the Langmuir equation best fits the studies, indicating a maximum adsorption capacity of 253.8 mg/g at 25°C, while the experimental equilibrium adsorption capacity is 229.2 mg/g at the same temperature. Adsorption kinetics aligns with the pseudo-second-order model. Thermodynamic parameters and activation energy affirm the endothermic and spontaneous behavior of the adsorption process, attributed to both physisorption and chemisorption. This study highlights the promising potential of synthesized MOF nanocrystals as an effective adsorbent for antibiotics in wastewater treatment and environmental remediation.
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Nguyen T. T. et al. Optimal Adsorption of Pefloxacin Antibiotics from Aqueous Solutions: Improved Performance with Metal-Organic Framework MIL-101(Cr) // Colloids and Surfaces A: Physicochemical and Engineering Aspects. 2024. Vol. 689. p. 133642.
GOST all authors (up to 50) Copy
Nguyen T. T., Nguyen T. T., Nguyen M. K., Kumar V., Tran Huu H., Thi Kim Le A., Le A. D., Nguyen A. H. P., Nguyen A. T., Gwag J. S., Thi Nam P., Trung L. G. Optimal Adsorption of Pefloxacin Antibiotics from Aqueous Solutions: Improved Performance with Metal-Organic Framework MIL-101(Cr) // Colloids and Surfaces A: Physicochemical and Engineering Aspects. 2024. Vol. 689. p. 133642.
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RIS Copy
TY - JOUR
DO - 10.1016/j.colsurfa.2024.133642
UR - https://linkinghub.elsevier.com/retrieve/pii/S092777572400503X
TI - Optimal Adsorption of Pefloxacin Antibiotics from Aqueous Solutions: Improved Performance with Metal-Organic Framework MIL-101(Cr)
T2 - Colloids and Surfaces A: Physicochemical and Engineering Aspects
AU - Nguyen, Tien Tran
AU - Nguyen, Thuong Thi
AU - Nguyen, Minh Kim
AU - Kumar, Vipin
AU - Tran Huu, Ha
AU - Thi Kim Le, Anh
AU - Le, Anh Duc
AU - Nguyen, Anh Huynh Phuong
AU - Nguyen, Anh Thu
AU - Gwag, Jin Seog
AU - Thi Nam, Pham
AU - Trung, Le Gia
PY - 2024
DA - 2024/05/01
PB - Elsevier
SP - 133642
VL - 689
SN - 0927-7757
SN - 1873-4359
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2024_Nguyen,
author = {Tien Tran Nguyen and Thuong Thi Nguyen and Minh Kim Nguyen and Vipin Kumar and Ha Tran Huu and Anh Thi Kim Le and Anh Duc Le and Anh Huynh Phuong Nguyen and Anh Thu Nguyen and Jin Seog Gwag and Pham Thi Nam and Le Gia Trung},
title = {Optimal Adsorption of Pefloxacin Antibiotics from Aqueous Solutions: Improved Performance with Metal-Organic Framework MIL-101(Cr)},
journal = {Colloids and Surfaces A: Physicochemical and Engineering Aspects},
year = {2024},
volume = {689},
publisher = {Elsevier},
month = {may},
url = {https://linkinghub.elsevier.com/retrieve/pii/S092777572400503X},
pages = {133642},
doi = {10.1016/j.colsurfa.2024.133642}
}
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