JOSÉ SANTIAGO TORRECILLA VELASCO-rekin lankidetzan egindako argitalpenak (6)

2010

  1. A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV-Vis

    Journal of Agricultural and Food Chemistry, Vol. 58, Núm. 3, pp. 1679-1684

  2. Ionic liquids: Determination of their aqueous content using differential scanning calorimeter equipment, chaotic parameters and a radial basis network model

    Talanta, Vol. 81, Núm. 4-5, pp. 1766-1771

  3. Linear and non linear chemometric models to quantify the adulteration of extra virgin olive oil

    Talanta, Vol. 83, Núm. 2, pp. 404-409

  4. Self-organizing maps and learning vector quantization networks as tools to identify vegetable oils and detect adulterations of extra virgin olive oil

    Computer Aided Chemical Engineering, Vol. 28, Núm. C, pp. 313-318

2009

  1. Chaotic parameters and their role in quantifying noise in the output signals from UV, TGA and DSC apparatus

    Talanta, Vol. 79, Núm. 3, pp. 665-668

  2. Self-organizing maps and learning vector quantization networks as tools to identify vegetable oils

    Journal of Agricultural and Food Chemistry, Vol. 57, Núm. 7, pp. 2763-2769