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dc.contributor.author
Van de Velde, Franco  
dc.contributor.author
Pirovani, Maria Elida  
dc.contributor.author
Cámara, María Silvia  
dc.contributor.author
Güemes, Daniel Raul  
dc.contributor.author
Bernardi, Cecilia María del Huerto  
dc.date.available
2019-04-11T16:06:17Z  
dc.date.issued
2012-09  
dc.identifier.citation
Van de Velde, Franco; Pirovani, Maria Elida; Cámara, María Silvia; Güemes, Daniel Raul; Bernardi, Cecilia María del Huerto; Optimization and Validation of a UV-HPLC Method for Vitamin C Determination in Strawberries (Fragaria ananassa Duch.), Using Experimental Designs; Springer; Food Analytical Methods; 5; 5; 9-2012; 1097-1104  
dc.identifier.issn
1936-9751  
dc.identifier.uri
http://hdl.handle.net/11336/74058  
dc.description.abstract
Vitamin C or total ascorbic acid (TAA) in fruits can be assumed as ascorbic acid (AA) plus dehydroascorbic acid (DHA) content. The aim of this work was to optimize and validate, using experimental designs, a new high-performance liquid chromatographic method for vitamin C determination in strawberries. The mobile phase (MP) consisted of a 0. 03 M sodium acetate/acetic acid buffer, 5% methanol. For optimization, a Box-Behnken design was used (three factors at three levels: (a) pH of MP, 3. 8-5. 8; (b) wavelength, 240-270 nm; and (c) flow rate, 0. 5-1. 2 ml min -1). Responses were: AA and TAA areas, peak widths, and retention times. A global optimization was performed using the Derringer desirability function, and a value of 0. 84 was reached for the combination of design factors: A = 5. 8, B = 251 nm, and C = 1. 15 ml min -1. Method validation, using AA standard solutions, included: linearity study, limits of detection and quantification, and calibration and analytical sensitivity quantifications. Precision and accuracy were studied in strawberry extracts. The coefficients of variation (percent) were: AA, 1. 5%; TAA, 1. 8%, and DHA, 4. 9%. Accuracy was evaluated with AA standard spiked in 30-150% range of the expected amount of analyte in real samples. The joint confidence elliptical region test and t test were employed for the study of the difference between recoveries (percent) and the ideal 100%. The robustness was analyzed using a fractional factorial design (3 4-2), and an AA recovery study after slight changes in operative variables was performed. The results indicate that the optimized method was linear, sensible, precise, accurate, and robust.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Box-Behnken  
dc.subject
Derringer Desirability  
dc.subject
Optimization  
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Robustness  
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Strawberries  
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Validation  
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Vitamin C  
dc.subject.classification
Otras Ciencias Químicas  
dc.subject.classification
Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Optimization and Validation of a UV-HPLC Method for Vitamin C Determination in Strawberries (Fragaria ananassa Duch.), Using Experimental Designs  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-03-27T17:05:40Z  
dc.journal.volume
5  
dc.journal.number
5  
dc.journal.pagination
1097-1104  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlin  
dc.description.fil
Fil: Van de Velde, Franco. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina  
dc.description.fil
Fil: Pirovani, Maria Elida. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina  
dc.description.fil
Fil: Cámara, María Silvia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina  
dc.description.fil
Fil: Güemes, Daniel Raul. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina  
dc.description.fil
Fil: Bernardi, Cecilia María del Huerto. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina  
dc.journal.title
Food Analytical Methods  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs12161-011-9347-5  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s12161-011-9347-5