María Cecilia Penci

Dr. María Cecilia Penci

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 June 2016 in Starch - Stärke
Verified
Journal Article
Open access
PDF file
PPPablo Martín Palavecino
Pablo Martín Palavecino
MPMaría Cecilia Penci
María Cecilia Penci
GCGeorgina Calderón‐Domínguez
Georgina Calderón‐Domínguez
PRPablo Daniel Ribotta
Pablo Daniel Ribotta
This work analyzed the physical, chemical, and thermal properties of sorghum flour and the relationships among these, in order to evaluate its suitability for the development of food products. Sorghum flour was obtained through roller dry milling from 20 commercial hybrids grown in Argentina with the average chemical composition of the samples being: 0.68% ash, 3.67% fat, 12.21% protein, 83.45% total carbohydrates, 79.77% starch (amylose 26.6%), and 34.9 mg of tannic acid per 100 g of flour. A high degree of variability among evaluated properties was found, particularly in the pasting properties peak viscosity (2809–5184 mPa/s), breakdown (1169–3170 mPa/s), and final viscosity (3030–4401 mPa/s) with onset temperature (To) and gelatinization enthalpy (ΔH) varying between 66.8 and 72.6°C, and 5.38 and 8.48 J/g, respectively. A principal component analysis demonstrated that the grain color did not influence the chemical composition of the flour. Cluster analysis permitted the separation of flour into three different groups with different thermal and physicochemical characteristics, and enabled the selection of hybrids. Thus, sorghum flour is a versatile ingredient and can be used in several food and non‐food applications.

19 January 2017 in Journal of Food Science and Technology
Verified
Journal Article
Closed access
PDF file
RGRenato D. Gili
Renato D. Gili
PPPablo Palavecino
Pablo Palavecino
MPMaría Cecilia Penci
María Cecilia Penci
MMMarcela Martinez
Marcela Martinez
Pablo Daniel RibottaPablo Daniel Ribotta
Pablo Daniel Ribotta

18 June 2017 in International Journal of Food Science and Technology
Verified
Journal Article
Closed access
PDF file
MMMarcela Lilian Martínez
Marcela Lilian Martínez
MMMaría Andrea Marín
María Andrea Marín
RGRenato Daniel Gili
Renato Daniel Gili
MPMaría Cecilia Penci
María Cecilia Penci
PRPablo Daniel Ribotta
Pablo Daniel Ribotta

16 March 2019 in Food Science and Biotechnology
Verified
Journal Article
Closed access
PDF file
SMSilvina Patricia Meriles
Silvina Patricia Meriles
MSMaría Eugenia Steffolani
María Eugenia Steffolani
ALAlberto Edel León
Alberto Edel León
MPMaría Cecilia Penci
María Cecilia Penci
Pablo Daniel RibottaPablo Daniel Ribotta
Pablo Daniel Ribotta

18 August 2021 in International Journal of Food Science and Technology
Verified
Journal Article
Closed access
PDF file
SMSilvina Patricia Meriles
Silvina Patricia Meriles
RPRoxana Piloni
Roxana Piloni
GCGeorgina Vanesa Cáceres
Georgina Vanesa Cáceres
MPMaría Cecilia Penci
María Cecilia Penci
MMMaría Andrea Marín
María Andrea Marín
MMMarcela Lilian Martínez
Marcela Lilian Martínez

30 December 2017 in Grasas y Aceites
Verified
Journal Article
Open access
PDF file
MMMarcela Martinez
Marcela Martinez
MBM. G. Bordón
M. G. Bordón
Romina Mariana BodoiraRomina Mariana Bodoira
Romina Mariana Bodoira
MPMaría Cecilia Penci
María Cecilia Penci
Pablo Daniel RibottaPablo Daniel Ribotta
Pablo Daniel Ribotta
DMD. M. Maestri
D. M. Maestri
Walnut and almond kernels are highly nutritious mainly due to their high oil contents. In this study, 32 factorial experimental designs were used to optimize processes for oil extraction by screw-pressing at industrial scale. Experimental designs included seed moisture content (SMC), and restriction die (RD) as the main processing parameters. Theoretical models were scanned against experimental data in order to optimize oil extraction conditions. The response variables analyzed were oil yield (OY), fine solid content (FC) in oil, and oil quality parameters. Fitted models for OY indicated maximum predicted values similar to the highest experimental values. Walnut oil extractions showed a maximum OY (84.5 ± 2.3 %) at 7.21% SMC, and 10 mm RD. For almond kernels, maximum OY (71.9 ± 3.5%) was obtained at 9.42% SMC, and 12 mm RD. Chemical quality parameters from both oils were in the ranges stated in Codex (FAO/WHO) standards for virgin (non-refined) oils.