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Original Research Article | OPEN ACCESS

Integrating computational analysis with IR, Raman, and visible spectroscopy for ampicillin characterization

Noushi Zaidi1, M Amin Mir2 , Sook Keng Chang3, Nouara Abdelli4, K Andrews5

1Department of Chemistry, College of Science, King Faisal University, Al-Ahsa 31982; 2Department of Mechanical Engineering, Prince Mohammad Bin Fahd University, AL Khobar, Saudi Arabia; 3Faculty of Health and Life Sciences, INTI International University, Persiaran Perdana BBN, Nilai, Negeri Sembilan, Malaysia; 4Department of Biological Sciences, College of Science, King Faisal University Al-Ahsa 31982; 5Department of Mathematics & Natural Sciences, Prince Mohammad Bin Fahd University, AL Khobar, Saudi Arabia.

For correspondence:-  M Mir   Email: mohdaminmir@gmail.com

Received: 21 July 2025        Accepted: 19 November 2025        Published: 30 November 2025

Citation: Zaidi N, Mir MA, Chang SK, Abdelli N, Andrews K. Integrating computational analysis with IR, Raman, and visible spectroscopy for ampicillin characterization. Trop J Pharm Res 2025; 24(11):1429-1439 doi: https://dx.doi.org/10.4314/tjpr.v24i11.11

© 2025 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To study the structural, vibrational and electronic properties of ampicillin using a computational approach supported by measurements. Methods: The structural optimization and vibrational frequencies for density functional theory (DFT; B3LYP/6-311++G (d,p)) calculations were utilized. Calculated frequencies were compared with measured FT-IR and FT-Raman vibrational spectra, while molecular electrostatic potential (MEP) mapping and highest occupied molecular orbit-lowest unoccupied molecular orbit (HOMO-LUMO) modeling were used to characterize the charge distribution in the compound to evaluate chemical reactivity. Finally, quantum chemical modeling was used to characterize the interaction of the ampicillin molecule on silver colloids and predictions from the DFT calculations were then verified using surface-enhanced Raman scattering (SERS) from a hydroxylamine-reduced silver colloid at 532 nm. Results: The calculated vibrational wavenumbers corresponded closely with FT-IR and FT-Raman data, confirming a valid computational model. The MEP clearly delineated electropositive regions near -NH? group and water molecules, which may serve as sites of reactivity in monomer and dimer ampicillin forms. The HOMO-LUMO models clarified the electronic transitional nature of the compound while DFT modeling on ampicillin adsorption showed good agreement with an effective interaction with silver colloids using SERS. Conclusion: This study demonstrates that DFT and spectroscopic studies accurately characterize the structural, vibrational and electronic properties of ampicillin, as well as an interaction with silver nanoparticles that supports its use as a diagnostic agent in surface-enhanced spectroscopy.

Keywords: Ampicillin, Computational analysis, HOMO-LUMO, FT-IR, Surface-enhanced Raman scattering (SERS)

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

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