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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Optimised extraction and HPLC–DAD determination of steroidal glycoalkaloids in potato tubers</dc:title><dc:creator>Ben Ammar,	Hajer	(Avtor)
	</dc:creator><dc:creator>Dolničar,	Peter	(Avtor)
	</dc:creator><dc:creator>Pipan,	Barbara	(Avtor)
	</dc:creator><dc:creator>Sinkovič,	Lovro	(Avtor)
	</dc:creator><dc:subject>α-chaconine</dc:subject><dc:subject>α-solanine</dc:subject><dc:subject>analytical method</dc:subject><dc:subject>HPLC-DAD</dc:subject><dc:subject>potato tubers</dc:subject><dc:subject>environmental sustainability</dc:subject><dc:description>Steroidal glycoalkaloids ( α-solanine and α-chaconine) are major potato toxins whose accurate quantification is often challenged by matrix effects and chromatographic selectivity. This study reports the optimisation and validation of a robust reversed-phase HPLC-DAD method for the determination of glycoalkaloids in potato tissues, combined with a systematic assessment of the environmental sustainability of the analytical workflow. Extraction conditions were optimized by integrating systematic solvent screening with a factorial experimental design to evaluate the effect of key operational variables on glycoalkaloid recovery and refine extraction performance The resulting extraction medium improved extract cleanliness and chromatographic stability. A subsequent C18 solid-phase extraction SPE step further reduced matrix effect and enhanced analytical selectivity. Chromatographic separation was achieved on a conventional C18 column using an acetonitrile-water gradient, providing baseline resolution (Rs &gt; 1.5) of α 2 -solanine and α-chaconine with stable diode-array detection (DAD) at 205 nm. The method was validated according to ICH Q2(R2) and AOAC guidelines, demonstrating excellent linearity (R &gt; 0.995), low limits of detection (0.462–0.767 µg/mL) and quantification (1.540–2.558 µg/mL), high precision (≤ 5% RSD), and recoveries of 90–105%. Robustness testing confirmed minimal sensitivity to routine variations in chromatographic parameters. Application to potato breeding lines demonstrated reliable quantification and revealed genotype-dependent variation in glycoalkaloid content. The environmental assessment of the analytical procedure was evaluated using Analytical Eco-scale, GAPI and AGREE metrics, demonstrating reduced solvent consumption, avoidance of strongly acidic extraction conditions, and a simplified sample preparation workflow. The proposed HPLC-DAD workflow provides a validated, high-performance, and environmentally conscious approach for routine GA quantification, suitable for food-safety monitoring, regulatory compliance and breeding programme applications.</dc:description><dc:date>2026</dc:date><dc:date>2026-06-10 09:12:36</dc:date><dc:type>Neznano</dc:type><dc:identifier>29950</dc:identifier><dc:identifier>UDK: 633</dc:identifier><dc:identifier>ISSN pri članku: 1873-3778</dc:identifier><dc:identifier>DOI: 10.1016/j.chroma.2026.467165</dc:identifier><dc:identifier>COBISS_ID: 280684547</dc:identifier><dc:language>sl</dc:language></metadata>
