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6 results for “UHPLC-HRMS”

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zenodo36/100

Untargeted metabolomic approach using UHPLC-HRMS to unravel the impact of fermentation on color and phenolic composition of Rosé wines

<p>Color is a major quality trait of ros&eacute; wines due to their packaging in clear glass bottles. This color is due to the presence of phenolic pigments extracted from grapes to wines and products of reactions taking place during the wine-making process. This study focuses on changes occurring during alcoholic fermentation of Syrah, Grenache and Cinsault musts, conducted at laboratory (250 mL) and pilot (100 L) scales. Color and phenolic composition of the musts and wines were analyzed using UV-visible spectrophotometry and metabolomics fingerprints were acquired by Ultra-High Performance Liquid Chromatography&minus;High Resolution Mass Spectrometry. The acquisition dataset protocol is available in the affiliated publication on Molecules</p>

opencc-by-4.0Jun 2023View details →
zenodo28/100

Figure 2 from: Kokanova-Nedialkova Z, Nedialkov P (2021) Validated UHPLC-HRMS method for simultaneous quantification of flavonoid contents in the aerial parts of Chenopodium bonus-henricus L. (wild spinach). Pharmacia 68(3): 597-601. https://doi.org/10.3897/pharmacia.68.e69781

Figure 2 Flavonoids in the MeOH extract from the aerial parts of C. bonus-henricus L. and detected glycosides of patuletin (A), spinacetin (B), 6-methoxykaempferol, and isorhamnetin (C).

opencc-by-4.0Aug 2021View details →
zenodo28/100

Figure 2 from: Kokanova-Nedialkova Z, Aluani D, Tzankova V, Nedialkov P (2021) Simultaneous quantification of the major flavonoids from wild spinach by UHPLC-HRMS and their neuroprotective effects in a model of H2O2-induced oxidative stress on SH-SY5Y cells. Pharmacia 68(3): 657-664. https://doi.org/10.3897/pharmacia.68.e71030

Figure 2 Effect of flavonoids and silibinin on the viability of neuroblastoma SH-SY5Y cells. Data are presented as means from three independent experiments ± SD (n = 8). *P &lt; 0.05, ***P &lt; 0.001, vs. untreated control (one-way analysis of variance with Dunnet's post hoc test).

opencc-by-4.0Sep 2021View details →
zenodo28/100

Figure 3 from: Kokanova-Nedialkova Z, Aluani D, Tzankova V, Nedialkov P (2021) Simultaneous quantification of the major flavonoids from wild spinach by UHPLC-HRMS and their neuroprotective effects in a model of H2O2-induced oxidative stress on SH-SY5Y cells. Pharmacia 68(3): 657-664. https://doi.org/10.3897/pharmacia.68.e71030

Figure 3 Effect of flavonoids and silibinin on the viability of SH-SY5Y cells in a model of H2O2-induced toxicity. Data are presented as means from three independent experiments ± SD (n = 8). ***P &lt; 0.001, vs. untreated control; +++P &lt; 0.001, vs. H2O2 group. (one-way analysis of variance with Dunnet's post hoc test).

opencc-by-4.0Sep 2021View details →
zenodo24/100

Figure 1 from: Kokanova-Nedialkova Z, Nedialkov P (2021) Validated UHPLC-HRMS method for simultaneous quantification of flavonoid contents in the aerial parts of Chenopodium bonus-henricus L. (wild spinach). Pharmacia 68(3): 597-601. https://doi.org/10.3897/pharmacia.68.e69781

Figure 1 Chenopodium bonus-henricus L.

opencc-by-4.0Aug 2021View details →
zenodo24/100

Figure 1 from: Kokanova-Nedialkova Z, Aluani D, Tzankova V, Nedialkov P (2021) Simultaneous quantification of the major flavonoids from wild spinach by UHPLC-HRMS and their neuroprotective effects in a model of H2O2-induced oxidative stress on SH-SY5Y cells. Pharmacia 68(3): 657-664. https://doi.org/10.3897/pharmacia.68.e71030

Figure 1 A chromatogram of the standard mixture of flavonoids.

opencc-by-4.0Sep 2021View details →

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