Pubblicazioni

Autori:

Zonfrillo, Beatrice; Bellumori, Maria; Digiglio, Irene; Innocenti, Marzia; Orlandini, Serena; Furlanetto, Sandra; Khatib, Mohamad; Papini, Alessio; Mainente, Federica; Zoccatelli, Gianni; Mulinacci, Nadia

Titolo:

Multivariate optimization of ulvan extraction applying Response Surface Methodology (RSM): the case of Ulva lactuca L. from Orbetello lagoon

Anno:

2025

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Referee:

No

Nome rivista:

CARBOHYDRATE POLYMERS

ISSN Rivista:

0144-8617

N° Volume:

354

Intervallo pagine:

1-11

Parole chiave:

Design of Experiments, Green algae, Sea lettuce, NMR, HPAEC-PAD, Ulvan extract

Breve descrizione dei contenuti:

The polysaccharide ulvan has great potential for various industrial applications due to its unique composition and biochemical properties. The study aimed to optimize the extraction conditions (pH, extraction time, and Extractant/Solid (E/S) ratio) of ulvan employing Ulva lactuca samples collected in the Orbetello lagoon, Tuscany (Italy), using a Design of Experiments (DoE) approach. The extraction process was optimized through a screening phase followed by Response Surface Methodology (RSM) to maximize ulvan yield and selectivity of the extraction. The purified extracts were characterized by quantitative NMR for rhamnose (Rha) content, turbidi- metric assay for sulfate content, and HPAEC-PAD for monosaccharide composition. The results indicated that a low pH value of 2.0, an extraction time of 105 min, and a high E/S ratio (60:1 mL/g) favored higher purity and yield of ulvan. Ulvan extracted under optimized conditions (9.27 % yield, 27.8 % Rha, and 20 % sulfate content) was further characterized by 2D NMR experiments and size exclusion chromatography. This optimized extraction method provides a basis for further exploration of ulvan’s potential in food, pharmaceutical, and biotechno- logical applications.

Id prodotto:

144677

Handle IRIS:

11562/1157319

ultima modifica:

15 marzo 2025

Citazione bibliografica:

Zonfrillo, Beatrice; Bellumori, Maria; Digiglio, Irene; Innocenti, Marzia; Orlandini, Serena; Furlanetto, Sandra; Khatib, Mohamad; Papini, Alessio; Mainente, Federica; Zoccatelli, Gianni; Mulinacci, Nadia, Multivariate optimization of ulvan extraction applying Response Surface Methodology (RSM): the case of Ulva lactuca L. from Orbetello lagoon «CARBOHYDRATE POLYMERS» , vol. 354 , 2025 , pp. 1-11

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