A Sustainable Spectrofluorimetric Method for Lisinopril Determination Using Erythrosin B Fluorescence Quenching With Mechanistic Characterization, Quantum Mechanical Modeling, and Green Chemistry Evaluation.

Authors

Ahmed M Abdelzaher, Omkulthom Al Kamaly, Mona A Abdel Rahman

Published in

Luminescence : the journal of biological and chemical luminescence. Volume 41. Issue 6. Pages e70543.

Abstract

A novel, sensitive, and environmentally sustainable spectrofluorimetric method was developed for lisinopril quantification based on Erythrosin B fluorescence quenching. The method exploits static quenching through ground-state ion-pair complex formation between dianionic Erythrosin B and dicationic lisinopril at pH 6.0. Comprehensive mechanistic investigation employing temperature-dependent Stern-Volmer analysis, thermodynamic studies, Job's method, and PM3 semi-empirical quantum mechanical calculations confirmed the static quenching mechanism driven by electrostatic interactions with binding energy of -6.90 kcal/mol (-28.87 kJ/mol). Under optimized conditions (pH 6.0, 15 μg/mL Erythrosin B, excitation/emission, 533/555 nm), the method exhibited excellent linearity over 0.01-3.0 μg/mL (r = 0.9998) with high sensitivity (LOD, 3.1 ng/mL; LOQ, 9.2 ng/mL). Validation according to ICH Q2(R2) guidelines demonstrated excellent accuracy (99.8 ± 1.119%), precision (RSD < 1.63%), robustness, and selectivity. The method was successfully applied to pharmaceutical tablets (100.02 ± 1.079% recovery) and spiked human plasma (96.19%-105.72% recovery). Comprehensive sustainability assessment using RGB12 (whiteness, 88.0/100) and EPPI (total score, 83.8) confirmed the method's superior environmental sustainability and ideal green profile. The developed method offers significant advantages including commercially available reagents, elimination of derivatization or nanomaterial synthesis, and simple instrumentation, representing an environmentally friendly alternative for routine lisinopril determination in pharmaceutical quality control and bioanalytical applications.

PMID:
42286975
Bibliographic data and abstract were imported from PubMed on 13 Jun 2026.

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