Validated green fluorescent nanosensor for barnidipine determination using lupine-derived multi-doped carbon quantum dots
Year: 2025
Type: article
Abstract: We present a green analytical fluorescence method for the selective determination of barnidipine, an antihypertensive drug, based on nitrogen, sulfur, and phosphorus co-doped carbon quantum dots (NSP-CQDs). The CQDs were synthesized via a rapid microwave-assisted approach using Lupinus albus seeds as a sustainable precursor, yielding highly fluorescent nanoparticles with a quantum yield of 25.2 %. The fluorescence of NSP-CQDs, with an emission maximum at 409 nm (λ ex = 320 nm), was efficiently quenched by barnidipine through a static quenching mechanism. The developed nanosensor enabled quantitative analysis of barnidipine with a linear response in the range of 25.0–250.0 μM, a detection limit of 4.91 μM, and high accuracy, achieving a mean recovery of 99.81 % in pharmaceutical dosage forms. Analytical performance was validated in terms of sensitivity, selectivity, precision, and accuracy, confirmed the reliability of the assay in pharmaceutical preparations. Greenness and practical sustainability of the method were assessed by Complex Modified GAPI and Blue Applicability Grade Index (BAGI) metrics, underscoring its compliance with green analytical chemistry principles. This work demonstrates the integration of eco-friendly nanomaterials into pharmaceutical analysis, providing a novel, reliable, and environmentally sustainable tool for fluorescence-based drug determination. • First validated green fluorescence method for barnidipine determination using NSP-CQDs. • Lupinus albus –derived multi-doped CQDs serve as selective fluorescent nanosensors. • Method is rapid, sensitive, and compliant with ICH validation criteria. • Greenness and practicality evaluated using ComplexMoGAPI and BAGI metrics.
Source: Microchemical Journal
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,000
OpenAlex ID: W4414004411