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dc.contributor.author | Solana-Altabella, A.![]() |
es_ES |
dc.contributor.author | Sanchez-Iranzo, M.H.![]() |
es_ES |
dc.contributor.author | Bueso-Bordils, J.I.![]() |
es_ES |
dc.contributor.author | Lahuerta-Zamora, Luis![]() |
es_ES |
dc.contributor.author | Mellado Romero, Ana María![]() |
es_ES |
dc.date.accessioned | 2019-05-26T20:01:42Z | |
dc.date.available | 2019-05-26T20:01:42Z | |
dc.date.issued | 2018 | es_ES |
dc.identifier.issn | 0039-9140 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/121095 | |
dc.description.abstract | [EN] Two different computer vision-based analytical chemistry (CVAC) methods were developed to quantify iron in the commercial pharmaceutical formulations Ferbisol (R) and Ferro sanol (R). The methods involve using a digital camera or a desktop scanner to capture a digital image of a series of Fe2+ standard solutions and the unknown sample upon reaction with o-phenanthroline. The images are processed with appropriate software (e.g., the public domain programme ImageJ, from NIH) to obtain a numerical value (analytical signal) based on colour intensity. The fact that such a value is proportional to the analyte concentration allows one to construct a calibration graph from the standards and interpolate the value for the sample in order to determine its concentration. The results thus obtained were compared with those provided by a spectrophotometric method and the US Pharmacopoeia's recommended method. The differences never exceeded 2%. The two proposed methods are simple and inexpensive; also, they provide an effective instrumental alternative to spectrophotometric methods which can be especially beneficial in those cases where purchasing and maintaining a spectrophotometer is unaffordable. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Talanta | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | CVAC | es_ES |
dc.subject | Digital camera | es_ES |
dc.subject | Desktop scanner | es_ES |
dc.subject | ImageJ | es_ES |
dc.subject | Pharmaceutical analysis | es_ES |
dc.subject.classification | INGENIERIA DE LA CONSTRUCCION | es_ES |
dc.title | Computer vision-based analytical chemistry applied to determining iron in commercial pharmaceutical formulations | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.talanta.2018.06.008 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil | es_ES |
dc.description.bibliographicCitation | Solana-Altabella, A.; Sanchez-Iranzo, M.; Bueso-Bordils, J.; Lahuerta-Zamora, L.; Mellado Romero, AM. (2018). Computer vision-based analytical chemistry applied to determining iron in commercial pharmaceutical formulations. Talanta. 188:349-355. https://doi.org/10.1016/j.talanta.2018.06.008 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.talanta.2018.06.008 | es_ES |
dc.description.upvformatpinicio | 349 | es_ES |
dc.description.upvformatpfin | 355 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 188 | es_ES |
dc.identifier.pmid | 30029386 | |
dc.relation.pasarela | S\368884 | es_ES |