Leticia Martínez-Lapuente

Dr. Leticia Martínez-Lapuente

University of La Rioja, Logroño, La Rioja, Spain
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2014 in Food Chemistry
Verified
Journal Article
Open access
José Miguel Hernández-HierroJosé Miguel Hernández-Hierro
José Miguel Hernández-Hierro
NQNatalia Quijada-Morín
Natalia Quijada-Morín
LMLeticia Martínez-Lapuente
Leticia Martínez-Lapuente
Zenaida Guadalupe MínguezZenaida Guadalupe Mínguez
Zenaida Guadalupe Mínguez
BABelén Ayestarán
Belén Ayestarán
MEM. Teresa Escribano-Bailón
M. Teresa Escribano-Bailón
The relationship between cell wall composition and extractability of anthocyanins from red grape skins was assessed in Tempranillo grape samples harvested at three stages of ripening (pre-harvest, harvest and over-ripening) and three different contents of soluble solids (22, 24 and 26 °Brix) within each stage. Cell wall material was isolated and analysed in order to determine cellulose, lignin, non-cellulosic polysaccharides, protein, total polyphenols index and the degree of esterification of pectins. Results showed the influence of ripeness degree and contents of soluble solids on cell wall composition. Furthermore, principal components analysis was applied to the obtained data set in order to establish relationships between cell wall composition and extractability of anthocyanins. Total insoluble material exhibits the biggest opposition to anthocyanin extraction, while the highest amounts of cellulose, rhamnogalacturonans-II and polyphenols were positively correlated with anthocyanin extraction. Moreover, multiple linear regression was performed to assess the influence of the cell wall composition on the extraction of anthocyanin compounds. A model connecting cell wall composition and anthocyanin extractabilities was built, explaining 96.2% of the observed variability.

1 May 2015 in Food Chemistry
Verified
Journal Article
Closed access
LMLeticia Martínez-Lapuente
Leticia Martínez-Lapuente
Zenaida Guadalupe MínguezZenaida Guadalupe Mínguez
Zenaida Guadalupe Mínguez
BABelén Ayestarán
Belén Ayestarán
SPSilvia Pérez-Magariño
Silvia Pérez-Magariño

5 December 2013 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
LMLeticia Martínez-Lapuente
Leticia Martínez-Lapuente
Zenaida Guadalupe MínguezZenaida Guadalupe Mínguez
Zenaida Guadalupe Mínguez
BABelén Ayestarán
Belén Ayestarán
MOMiriam Ortega-Heras
Miriam Ortega-Heras
SPSilvia Pérez-Magariño
Silvia Pérez-Magariño

5 June 2015 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
SPSilvia Pérez-Magariño
Silvia Pérez-Magariño
LMLeticia Martínez-Lapuente
Leticia Martínez-Lapuente
MBMarta Bueno-Herrera
Marta Bueno-Herrera
MOMiriam Ortega-Heras
Miriam Ortega-Heras
Zenaida Guadalupe MínguezZenaida Guadalupe Mínguez
Zenaida Guadalupe Mínguez
BABelén Ayestarán
Belén Ayestarán

17 March 2022 in Carbohydrate Polymers
Verified
Journal Article
Open access
Berta Baca-BocanegraBerta Baca-Bocanegra
Berta Baca-Bocanegra
LMLeticia Martínez-Lapuente
Leticia Martínez-Lapuente
Julio Nogales-BuenoJulio Nogales-Bueno
Julio Nogales-Bueno
José Miguel Hernández-HierroJosé Miguel Hernández-Hierro
José Miguel Hernández-Hierro
Raul Ferrer-GallegoRaul Ferrer-Gallego
Raul Ferrer-Gallego
Polysaccharides are the main macromolecules of colloidal nature in wines. These compounds play a critical role in stabilizing other molecules in solution and thus modifying the wine processing and organoleptic properties. Different analytical techniques have been proposed for their determination. However, most of them are complicated and time-consuming. To overcome these drawbacks, Fourier transform infrared spectroscopy (FTIR) has been evaluated in this study for the estimation of wine polysaccharides in a fast and non-destructive way. Spectral data have been correlated with wine polysaccharide contents by modified partial least squares regression (MPLS) using different spectral pretreatments. MPLS models developed have revealed the potential of FTIR analysis for the routine screening of polysaccharides rich in arabinose and galactose (PRAG), rhamnogalacturonans types II (RG-II), mannoproteins (MP) and total soluble polysaccharides (TSP) in wine samples, obtaining standard errors of prediction from 6.07 to 8.44%. Monitoring the wine polysaccharides can assist in the elaboration of the wines according to their requirements and improving quality to satisfy consumer preferences.

6 March 2013 in European Food Research and Technology
Verified
Journal Article
Closed access
PDF file
SPSilvia Pérez-Magariño
Silvia Pérez-Magariño
MOMiriam Ortega-Heras
Miriam Ortega-Heras
LMLeticia Martínez-Lapuente
Leticia Martínez-Lapuente
Zenaida Guadalupe MínguezZenaida Guadalupe Mínguez
Zenaida Guadalupe Mínguez
BABelén Ayestarán
Belén Ayestarán