Abstract
The uncontrolled utilization of pesticides poses a significant risk to the environment and human health, making its management essential. In this regard, a new arginine functionalized magnetic Mn-based metal–organic framework (Arg@m-Mn-MOF) was fabricated and assessed for the removal of cypermethrin (CYP) and chlorpyrifos (CHL) from aqueous system. The Arg@m-Mn-MOF was characterized by scanning electron microscopy, energy dispersive X-ray, Fourier transform infrared spectroscopy, X-ray diffraction, and Brunauer–Emmett–Teller analysis. Various parameters were optimized in a series of batch experiments and the following conditions were found optimal: pH: 4 and 5, contact time: 20 min, adsorbent dosage: 0.6 and 0.8 g L−1 with initial concentration: 10 mg L−1 and temperature: 298 K for CYP and CHL, respectively. The composite attained a maximum removal capacity of 44.84 and 71.42 mg g−1 for CYP and CHL, respectively. The elucidated data was strongly fitted to the pseudo-second-order model of kinetics (R2 > 0.98) and Langmuir isotherm (R2 > 0.98). Based upon 350 experimental datasets obtained from batch studies and interpolated data, the adsorption capacity of the adsorbent was elucidated with R2 > 0.97 (CHL) and > 0.91 (CYP). The adsorption energy (− 11.67 kcal mol−1) calculated by Gaussian software suggests a good interaction between arginine and CHL through H-bonding. The present study’s findings suggested the prepared Arg@m-Mn-MOF as a promising adsorbent for the efficient removal of pesticides from agriculture runoff.
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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The authors are grateful to Amity Institute of Biotechnology, Amity University Uttar Pradesh, India, for providing lab facility to conduct the experiments. The authors would also like to thank University Science Instrumentation Centre (USIC), University of Delhi, for SEM, FTIR, and XRD analysis.
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The authors acknowledge the financial support of the Ministry of Commerce and Industry, India.
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SS performed the experiments and wrote the manuscript. KB contributed in writing the manuscript and data analysis. HMNI performed the supervision. RS and ACK contributed to the characterization of sample. SB contributed in computational analysis and writing. RS performed supervision, funding acquisition, and help in final corrections.
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Solanki, S., Bisaria, K., Iqbal, H.M.N. et al. Sugeno fuzzy inference system modeling and DFT calculations for the treatment of pesticide-laden water by newly developed arginine functionalized magnetic Mn-based metal organic framework. Environ Sci Pollut Res 30, 123126–123147 (2023). https://doi.org/10.1007/s11356-023-30944-4
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DOI: https://doi.org/10.1007/s11356-023-30944-4