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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
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Derringer Desirability
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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
dc.subject.classification
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
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