Publicaciones (54) Publicaciones de Alatzne Carlosena Zubieta

2019

  1. Adquisición de competencias vinculadas a la responsabilidad social a través del aprendizaje y servicio en el Trabajo Fin de Grado en Química

    Contextos universitarios transformadores: construíndo espazos de aprendizaxe.

  2. Atomic spectrometry | chemometric approaches to data evaluation

    Encyclopedia of Analytical Science (Elsevier), pp. 228-238

2017

  1. Fast assessment of bioaccessible metallic contamination in marine sediments

    Marine Pollution Bulletin, Vol. 125, Núm. 1-2, pp. 310-317

2013

  1. Classical linear regression by the least squares method

    RSC Analytical Spectroscopy Series (Royal Society of Chemistry), pp. 52-122

  2. Evaluation of analytical figures of merit when multivariate calibration is employed in atomic spectrometry

    Journal of Analytical Atomic Spectrometry, Vol. 28, Núm. 12, pp. 1911-1918

  3. Green approaches to determine metals in lubricating oils by electrothermal atomic absorption spectrometry (ETAAS)

    Microchemical Journal, Vol. 108, pp. 74-80

  4. Interpolation in the standard additions method

    Analytica Chimica Acta, Vol. 780, pp. 13-19

  5. Multivariate calibration to implement green ETAAS methods when analysing Cu in lubricating oils

    Analytical Methods, Vol. 5, Núm. 16, pp. 4039-4046

  6. Partial least-squares regression

    RSC Analytical Spectroscopy Series (Royal Society of Chemistry), pp. 280-347

2010

  1. Combining Kohonen neural networks and variable selection by classification trees to cluster road soil samples

    Chemometrics and Intelligent Laboratory Systems, Vol. 102, Núm. 1, pp. 20-34

2009

  1. Direct determination of V, Ni, and Co in emulsified fuel oil samples by electrothermal atomic absorption spectrometry (ETAAS)

    Atomic Spectroscopy, Vol. 30, Núm. 4, pp. 129-138

  2. Multivariate Regression using Artificial Neural Networks

    BASIC CHEMOMETRIC TECHNIQUES IN ATOMIC SPECTROSCOPY (ROYAL SOC CHEMISTRY), pp. 244-283

  3. Multivariate regression using artificial neural networks

    RSC Analytical Spectroscopy Series, pp. 244-283