Publikationen, an denen er mitarbeitet JOSE RAMON TORRES LAPASIO (10)

2020

  1. Classification of olive leaves and pulp extracts by comprehensive two-dimensional liquid chromatography of polyphenolic fingerprints

    Food Chemistry, Vol. 320

2019

  1. Modelling retention and peak shape of small polar solutes analysed by nano-HPLC using methacrylate-based monolithic columns

    Analytica Chimica Acta, Vol. 1086, pp. 142-155

2008

  1. Determination of fatty alcohol ethoxylates by derivatisation with maleic anhydride followed by liquid chromatography with UV-vis detection

    Journal of Chromatography A, Vol. 1180, Núm. 1-2, pp. 32-41

2005

  1. Capillary electrophoresis enhanced by automatic two-way background correction using cubic smoothing splines and multivariate data analysis applied to the characterisation of mixtures of surfactants

    Journal of Chromatography A, Vol. 1065, Núm. 2, pp. 301-313

2004

  1. Resolution of overlapped non-absorbing and absorbing solutes using either an absorption null-balance detection window or multivariate deconvolution applied to capillary electrophoresis of anionic surfactants

    Journal of Chromatography A, Vol. 1036, Núm. 2, pp. 205-216

2002

  1. Micellar-organic versus aqueous-organic mobile phases for the screening of β-blockers

    Analytica Chimica Acta, Vol. 454, Núm. 1, pp. 109-123

  2. Rapid liquid chromatographic determination of tetracyclines in animal feeds using a surfactant solution as mobile phase

    Analytical Letters, Vol. 35, Núm. 4, pp. 687-705

2000

  1. Injury symptoms and releasing rates of inorganic ions from pine needles as indicators of atmospheric pollution in the Canary Islands forests

    Water, Air, and Soil Pollution, Vol. 117, Núm. 1-4, pp. 105-122

1995

  1. Analysis of pharmaceutical preparations containing catecholamines by micellar liquid chromatography with spectrophotometric detection

    The Analyst, Vol. 120, Núm. 6, pp. 1767-1772

  2. Modelling and prediction of retention in high-performance liquid chromatography by using neural networks

    Chromatographia, Vol. 41, Núm. 5-6, pp. 435-444