Citation

Barzani, Hemn A.H. and Omer, Rebaz Anwar and Barzani, Khalamala Ibrahim Salih and Muhammad, Hunar Yasin and Sulaiman, Seerwan Hamadameen and Ashfaq, Muhammad and Smerat, Aseel and Lee, It Ee and Wali, Qamar and Akhtaruzzaman, Md. (2026) Critical insights into analytical techniques for the quantification of neomycin across various matrices. Chemical Physics Impact, 13. p. 101147. ISSN 26670224

Text Critical insights into analytical techniques for the quantification of neomycin across various matrices.pdf - Published Version Restricted to Repository staff only Download (4MB)

Abstract

Neomycin (NEO) is a highly hydrophilic, strongly polycationic aminoglycoside antibiotic that presents significant analytical challenges owing to its lack of a chromophore, multiple amino groups, strong matrix interactions, and structural similarity among its major components. These characteristics complicate its determination in biological, pharmaceutical, food, and environmental matrices. This review critically evaluates chromatographic, electrochemical, and spectroscopic methods for the determination of NEO, emphasizing analytical performance, matrix-specific purification strategies, and molecular mechanisms underlying key analytical limitations. Comparative analysis demonstrates that LC–MS/MS remains the most reliable platform for trace-level quantification because of its superior sensitivity, selectivity, and matrix tolerance, whereas HPLC-based methods are better suited for routine pharmaceutical quality control. Electrochemical sensors offer rapid and highly sensitive detection but remain limited by matrix-dependent performance, while spectroscopic techniques are primarily applicable to high-concentration samples. Finally, unresolved analytical bottlenecks and future research priorities are discussed, highlighting selective sample preparation, fluorine-free separations, advanced sensing materials, green analytical methodologies, and AI-assisted method optimization for robust and sustainable multimatrix NEO analysis.

Item Type:	Article
Uncontrolled Keywords:	Neomycin, Aminoglycoside antibiotics
Subjects:	Q Science > QR Microbiology > QR180 Immunology
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	01 Oct 2026 07:41
Last Modified:	01 Oct 2026 07:41
URII:	http://shdl.mmu.edu.my/id/eprint/16796

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