Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Miriam Pérez-Cova"'
Publikováno v:
Molecules, Vol 27, Iss 10, p 3304 (2022)
The use of chemometric methods based on the analysis of variances (ANOVA) allows evaluation of the statistical significance of the experimental factors used in a study. However, classical multivariate ANOVA (MANOVA) has a number of requirements that
Externí odkaz:
https://doaj.org/article/ef18ecd9e4154a3e8999fd38975ab683
Publikováno v:
Separations, Vol 9, Iss 3, p 79 (2022)
Rice crops are especially vulnerable to arsenic exposure compared to other cereal crops because flooding growing conditions facilitates its uptake. Besides, there are still many unknown questions about arsenic’s mode of action in rice. Here, we app
Externí odkaz:
https://doaj.org/article/f82d871a556c4d6887a3c1beaf16f389
Publikováno v:
Separations; Volume 9; Issue 3; Pages: 79
Digital.CSIC. Repositorio Institucional del CSIC
instname
Digital.CSIC. Repositorio Institucional del CSIC
instname
Rice crops are especially vulnerable to arsenic exposure compared to other cereal crops because flooding growing conditions facilitates its uptake. Besides, there are still many unknown questions about arsenic’s mode of action in rice. Here, we app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6515e905e396f287afb5791ec72847ac
http://hdl.handle.net/10261/266130
http://hdl.handle.net/10261/266130
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
In this work, three chemometrics-based approaches are compared for quantification purposes when using two-dimensional liquid chromatography (LC×LC-MS), taking as a study case the quantification of amino acids in commercial drug mixtures. Although th
Publikováno v:
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Mass spectrometry has become one of the methods of choice in the analytical field due to its high sensitivity and selectivity to retrieve structural information allowing the univocal identification of compounds. From a chemometric point of view, mass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b81324340f9c27ce473f6bc5ac67c84e
http://hdl.handle.net/10261/245120
http://hdl.handle.net/10261/245120
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Neuromethods ISBN: 9781071608630
instname
Neuromethods ISBN: 9781071608630
Multidimensional separation systems have arisen in the last years to overcome certain limitations of the classical one-dimensional separations. Multidimensional analytical approaches achieve a greater separation power, a crucial aspect when dealing w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c21a9e069926f0b0b16713fcfebcf67
http://hdl.handle.net/10261/225094
http://hdl.handle.net/10261/225094
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Comprehensive multidimensional chromatographic techniques, such as GC×GC coupled to FID or MS and LC×LC coupled to UV or MS, have gained popularity in recent years. From the analytical perspective, these techniques allow obtaining higher peak capac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ad0ba3bc92c5f124871f9341bdd58fc
http://hdl.handle.net/10261/216598
http://hdl.handle.net/10261/216598
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Data analysis remains a major challenge in the global application of comprehensive two-dimensional liquid chromatography (LC × LC). Advanced chemometric tools have been proposed to reduce the complexity of LC × LC datasets. In this work, key aspect