Argitalpenak (161) JOSE MANUEL AMIGO RUBIO argitalpenak

2024

  1. Coupling randomisation and sparse modelling for the exploratory analysis of large hyperspectral datasets

    Chemometrics and Intelligent Laboratory Systems, Vol. 248

  2. Evidence of internalized microplastics in mussel tissues detected by volumetric Raman imaging

    Science of the Total Environment, Vol. 914

  3. Fusion of multiway data with classical spectroscopy for the study of natural waters

    Data Handling in Science and Technology (Elsevier Ltd), pp. 41-60

  4. NIR-hyperspectral imaging and machine learning for non-invasive chemotype classification in Cannabis sativa L

    Computers and Electronics in Agriculture, Vol. 217

  5. Unlocking Preclinical Alzheimer’s: A Multi-Year Label-Free In Vitro Raman Spectroscopy Study Empowered by Chemometrics

    International Journal of Molecular Sciences, Vol. 25, Núm. 9

  6. Yoghurt standardization using real-time NIR prediction of milk fat and protein content

    Journal of Food Composition and Analysis, Vol. 128

2023

  1. Batch-wise versus continuous dough mixing of Danish butter cookies. A near infrared hyperspectral imaging study

    Food Chemistry, Vol. 414

  2. Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques

    Microchemical Journal, Vol. 190

  3. Environmental science through orbiters. An example of Sentinel-5P on how the Covid-19 pandemic impacted the air quality

    Chemometrics and Intelligent Laboratory Systems, Vol. 240

  4. HYPERCam v1: Hyperspectral Camera Based on a Low-Cost Hardware and Software Architecture for Food Analysis Through Image Processing

    Lecture Notes in Networks and Systems

  5. Issues with the detection and classification of microplastics in marine sediments with chemical imaging and machine learning

    TrAC - Trends in Analytical Chemistry, Vol. 166

  6. Prediction of protein and lipid content in black soldier fly (Hermetia illucens L.) larvae flour using portable NIR spectrometers and chemometrics

    Food Control, Vol. 153

  7. Successful Applications of NIR Spectroscopy and NIR Imaging in the Food Processing Chain

    Foods

  8. The importance of choosing a proper validation strategy in predictive models. A tutorial with real examples

    Analytica Chimica Acta, Vol. 1275

2022

  1. Assessment of macronutrients and alpha-galactosides of texturized vegetable proteins by near infrared hyperspectral imaging

    Journal of Food Composition and Analysis, Vol. 108

  2. Combination of Two Synchrotron Radiation-Based Techniques and Chemometrics to Study an Enhanced Natural Remineralization of Enamel

    Analytical Chemistry, Vol. 94, Núm. 13, pp. 5359-5366

  3. Data reduction by randomization subsampling for the study of large hyperspectral datasets

    Analytica Chimica Acta, Vol. 1209

  4. Deep learning for near-infrared spectral data modelling: Hypes and benefits

    TrAC - Trends in Analytical Chemistry, Vol. 157

  5. Determination of protein content in single black fly soldier (Hermetia illucens L.) larvae by near infrared hyperspectral imaging (NIR-HSI) and chemometrics

    Food Control, Vol. 143

  6. SETApp: A machine learning and image analysis based application to automate the sea urchin embryo test

    Ecotoxicology and Environmental Safety, Vol. 241