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dc.contributor.author
Marsili, Nilda Raquel  
dc.contributor.author
Lista, Adriana Guillermina  
dc.contributor.author
Fernández Band, Beatriz Susana  
dc.contributor.author
Goicoechea, Hector Casimiro  
dc.contributor.author
Olivieri, Alejandro Cesar  
dc.date.available
2020-01-20T19:05:05Z  
dc.date.issued
2004-05  
dc.identifier.citation
Marsili, Nilda Raquel; Lista, Adriana Guillermina; Fernández Band, Beatriz Susana; Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar; New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique; American Chemical Society; Journal of Agricultural and Food Chemistry; 52; 9; 5-2004; 2479-2484  
dc.identifier.issn
0021-8561  
dc.identifier.uri
http://hdl.handle.net/11336/95258  
dc.description.abstract
Two widely employed antimicrobials, benzoic and sorbic acids, were simultaneously determined in commercial orange juices employing a combination of a flow injection system with pH gradient generation, diode array spectrophotometric detection, and chemometric processing of the recorded second-order data. Parallel factor analysis and multivariate curve resolution-alternating least-squares were used for obtaining the spectral profiles of sample components and concentration profiles as a function of pH, including provisions for managing rank-deficient data sets. An appropriately designed calibration with a nine-sample set of binary mixtures of standards, coupled to the use of the second-order advantage offered by the applied chemometric techniques, allowed quantitation of the analytes in synthetic test samples and also in commercial orange juices, even in the presence of unmodeled interferents (with relative prediction errors of 8.7% for benzoic acid and 2.5% for sorbic acid). No prior separation or sample pretreatment steps were required. The comparison of results concerning commercial samples with a laborious reference technique yielded satisfactory statistical indicators (recoveries were 99.0% for benzoic acid and 101.4% for sorbic acid).  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Chemical Society  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BENZOIC ACID  
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FLOW INJECTION ANALYSIS  
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FOOD ANALYSIS  
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MULTIVARIATE CURVE RESOLUTION  
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PARALLEL FACTOR ANALYSIS  
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PH GRADIENT  
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SORBIC ACID  
dc.subject.classification
Química Analítica  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-11-27T14:54:48Z  
dc.journal.volume
52  
dc.journal.number
9  
dc.journal.pagination
2479-2484  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Marsili, Nilda Raquel. Universidad Nacional del Litoral; Argentina  
dc.description.fil
Fil: Lista, Adriana Guillermina. Universidad Nacional del Sur; Argentina  
dc.description.fil
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; Argentina  
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. North Dakota State University; Estados Unidos. Universidad Nacional del Litoral; Argentina  
dc.description.fil
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario; Argentina  
dc.journal.title
Journal of Agricultural and Food Chemistry  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1021/jf035362f  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/jf035362f