Artículos publicados 2020 ...

Publications in revistes2/2020_2024.bib [rss]
[48] The potential of the spatially offset Raman spectroscopy (SORS) for implementing rapid and non-invasive in-situ authentication methods of plastic-packaged commodity foods – Application to sliced cheeses
Alejandra Arroyo-Cerezo, Ana M. Jiménez-Carvelo, Antonio González-Casado, Itziar Ruisánchez, Luis Cuadros-Rodríguez, Food Control, 2023, 146, 109522. [pdf] [doi]
[47] One-class model with two decision thresholds for the rapid detection of cashew nuts adulteration by other nuts
Glòria Rovira, Carolina Sheng Whei Miaw, Mário Lúcio Campos Martins, Marcelo Martins Sena, Scheilla Vitorino Carvalho de Souza, M. Pilar Callao, Itziar Ruisánchez, Talanta, 2023, 253, 123916. [pdf] [doi]
[46] Use of visible-near infrared spectroscopy to predict nutrient composition of poultry excreta
Andrés Cruz-Conesa, Joan Ferré, Anna M. Pérez-Vendrell, M. Pilar Callao, Itziar Ruisánchez, Animal Feed Science and Technology, 2022, 283, 115169. [pdf] [doi]
[45] Controlled One-pot Synthesis of PdAg Nanoparticles and Their Application in the Semi-hydrogenation of Acetylene in Ethylene‐rich Mixtures
Jorge A. Delgado, Olivia Benkirane, Suzanne Lachaux, Carmen Claver, Joan Ferré, Daniel Curulla-Ferré, Cyril Godard, ChemNanoMat, 2022, 8. [pdf] [doi]
[44] An Overview of the Application of Multivariate Analysis to the Evaluation of Beer Sensory Quality and Shelf-Life Stability
Ana Carolina de Lima, Laura Aceña, Montserrat Mestres, Ricard Boqué, Foods, 2022, 11, 2037. [pdf] [doi]
[43] Detection of bacterial spoilage during wine alcoholic fermentation using ATR-MIR and MCR-ALS
Julieta Cavaglia, Silvia Mas Garcia, Jean-Michel Roger, Montserrat Mestres, Ricard Boqué, Food Control, 2022, 142, 109269. [pdf] [doi]
[42] In-depth chemometric strategy to detect up to four adulterants in cashew nuts by IR spectroscopic techniques
Glòria Rovira, Carolina Sheng Whei Miaw, Mário Lúcio Campos Martins, Marcelo Martins Sena, Scheilla Vitorino Carvalho de Souza, Itziar Ruisánchez, M. Pilar Callao, Microchemical Journal, 2022, 181, 107816. [pdf] [doi]
[41] Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy
Jordi Riu, Alba Vega, Ricard Boqué, Barbara Giussani, Foods, 2022, 11, 3524. [pdf] [doi]
[40] Multivariate qualitative methodology for semi-quantitative information. A case study: Adulteration of olive oil with sunflower oil
Itziar Ruisánchez, Glòria Rovira, M Pilar Callao, Analytica Chimica Acta, 2022, 1206, 339785. [pdf] [doi]
[39] Unravelling error sources in miniaturized NIR spectroscopic measurements: The case study of forages
Giulia Gorla, Alessandro Taiana, Ricard Boqué, Paolo Bani, Olga Gachiuta, Barbara Giussani, Analytica Chimica Acta, 2022, 1211, 339900. [pdf] [doi]
[38] Potentiometric detection of creatinine in the presence of nicotine: Molecular recognition, sensing and quantification through multivariate regression
Alessandro Corba, Andrés F Sierra, Pascal Blondeau, Barbara Giussani, Jordi Riu, Pablo Ballester, Francisco J Andrade, Talanta, 2022, 246, 123473. [pdf] [doi]
[37] Controlled One‐pot Synthesis of PdAg Nanoparticles and Their Application in the Semi‐hydrogenation of Acetylene in Ethylene‐rich Mixtures
Jorge A Delgado, Olivia Benkirane, Suzanne Lachaux, Carmen Claver, Joan Ferré, Daniel Curulla‐Ferré, Cyril Godard, ChemNanoMat, 2022, 8. [pdf] [doi]
[36] Analytical Chemistry Strategies in the Use of Miniaturised NIR Instruments: An Overview
Barbara Giussani, Giulia Gorla, Jordi Riu, Critical Reviews in Analytical Chemistry, 2022, 1--33. [pdf] [doi]
[35] Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry
Sergio Borraz-Martínez, Joan Simó, Anna Gras, Mariàngela Mestre, Ricard Boqué, Francesc Tarrés, Journal of Chemometrics, 2022, n/a, e3388. [pdf] [doi]
[34] Structural and quantitative analysis of water association in ethylammonium nitrate mixtures using soft modeling resolution of NIR spectra and molecular dynamics simulations
M. Suliany Rodríguez-Barrios, Antonio Rodríguez-Fortea, Luis M. Varela, Daniel Salavera, M. Soledad Larrechi, Alberto Coronas, Journal of Molecular Liquids, 2021, 327, 114789. [pdf] [doi]
[33] Direct analysis of Volumetric Absorptive Micro Sampling (VAMS) devices by ATR-FT-MIR and chemometric analysis: A new challenge
Giulia Gorla, Alberto Pasamontes, Laura Rampazzi, Jordi Riu, Barbara Giussani, Microchemical Journal, 2021, 171, 106873. [pdf] [doi]
[32] Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
Barbara Giussani, Alix Tatiana Escalante-Quiceno, Ricard Boqué, Jordi Riu, Foods, 2021, 10. [pdf] [doi]
[31] Chemometric strategies for authenticating extra virgin olive oils from two geographically adjacent Catalan protected designations of origin
A. Fort, I. Ruisánchez, M.P. Callao, Microchemical Journal, 2021, 169. [pdf] [doi]
[30] Processing factors that affect the balance of alcohols and alkyl esters during ‘Arbequina’ olive oil production: Separation and clarification steps
A. Boudebouz, A. Romero, J.F. Hermoso, R. Boqué, M. Mestres, LWT, 2021, 149. [pdf] [doi]
[29] Spectroscopic fingerprinting and chemometrics for the discrimination of Italian Emmer landraces
M. Foschi, A. Biancolillo, S. Vellozzi, F. Marini, A.A. D'Archivio, R. Boqué, Chemometrics and Intelligent Laboratory Systems, 2021, 215. [pdf] [doi]
[28] ATR-MIR spectroscopy as a process analytical technology in wine alcoholic fermentation – A tutorial
D. Schorn-García, J. Cavaglia, B. Giussani, O. Busto, L. Aceña, M. Mestres, R. Boqué, Microchemical Journal, 2021, 166. [pdf] [doi]
[27] Application of spectrometric technologies in the monitoring and control of foods and beverages
R. Boqué, B. Giussani, Foods, 2021, 10. [pdf] [doi]
[26] A paper-based potentiometric platform for determination of water hardness
M.L. Bouhoun, P. Blondeau, Y. Louafi, F.J. Andrade, Chemosensors, 2021, 9. [pdf] [doi]
[25] Simple Approach for Building High Transconductance Paper-Based Organic Electrochemical Transistor (OECT) for Chemical Sensing
A. Ait Yazza, P. Blondeau, F.J. Andrade, ACS Applied Electronic Materials, 2021, 3, 1886-1895. [pdf] [doi]
[24] Acid number, viscosity and end-point detection in a multiphase high temperature polymerisation process using an online miniaturised MEMS Fabry-Pérot interferometer
C. Avila, C. Mantzaridis, J. Ferré, R. Rocha de Oliveira, U. Kantojärvi, A. Rissanen, P. Krassa, A. de Juan, F.L. Muller, T.N. Hunter, R.A. Bourne, Talanta, 2021, 224. [pdf] [doi]
[23] Fabrication and modification of homemade paper-based electrode systems
M.A.R. Khan, C.A.C. Vieira, J. Riu, M.G.F. Sales, Talanta, 2021, 224. [pdf] [doi]
[22] Characterization and Validation of a Platinum Paper-based Potentiometric Sensor for Glucose Detection in Saliva
M. Borràs-Brull, P. Blondeau, J. Riu, Electroanalysis, 2021. [pdf] [doi]
[21] The Use of Conducting Polymers for Enhanced Electrochemical Determination of Hydrogen Peroxide
M. Borràs-Brull, P. Blondeau, J. Riu, Critical Reviews in Analytical Chemistry, 2021. [pdf] [doi]
[20] Paper-based Potentiometric Biosensor for Monitoring Galactose in Whole Blood
M. Bouri, J.C. Zuaznabar-Gardona, M. Novell, P. Blondeau, F.J. Andrade, Electroanalysis, 2021. [pdf] [doi]
[19] ROC curves for the optimization of one-class model parameters. A case study: Authenticating extra virgin olive oil from a Catalan protected designation of origin
I. Ruisánchez, A.M. Jiménez-Carvelo, M.P. Callao, Talanta, 2021, 222. [pdf] [doi]
[18] Robust Fourier transformed infrared spectroscopy coupled with multivariate methods for detection and quantification of urea adulteration in fresh milk samples
F. Mabood, L. Ali, R. Boque, G. Abbas, F. Jabeen, Q.M.I. Haq, J. Hussain, A.M. Hamaed, Z. Naureen, M. Al-Nabhani, M.Z. Khan, A. Khan, A. Al-Harrasi, Food Science and Nutrition, 2020, 8, 5249-5258. [pdf] [doi]
[17] FT-NIRS Coupled with PLS Regression as a Complement to HPLC Routine Analysis of Ca eine in Tea Samples
N.U. Rehman, A. Al-Harrasi, R. Boqué, F. Mabood, M. Al-Broumi, J. Hussain, S. Alameri, Foods, 2020, 9. [pdf] [doi]
[16] Varietal quality control in the nursery plant industry using computer vision and deep learning techniques
S. Borraz-Martínez, F. Tarrés, R. Boqué, M. Mestre, J. Simó, A. Gras, Journal of Chemometrics, 2020. [pdf] [doi]
[15] Rapid analysis of milk using low-cost pocket-size NIR spectrometers and multivariate analysis
J. Riu, G. Gorla, D. Chakif, R. Boqué, B. Giussani, Foods, 2020, 9. [pdf] [doi]
[14] Modulating the mixed potential for developing biosensors: Direct potentiometric determination of glucose in whole, undiluted blood
R. Cánovas, P. Blondeau, F.J. Andrade, Biosensors and Bioelectronics, 2020, 163. [pdf] [doi]
[13] Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts
J. Cavaglia, D. Schorn-García, B. Giussani, J. Ferré, O. Busto, L. Aceña, M. Mestres, R. Boqué, Chemometrics and Intelligent Laboratory Systems, 2020, 201. [pdf] [doi]
[12] Estimating sensory properties with near-infrared spectroscopy: A tool for quality control and breeding of 'Calçots' (Allium cepa L.)
S. Sans, J. Ferré, R. Boqué, J. Sabaté, J. Casals, J. Simó, Agronomy, 2020, 10. [pdf] [doi]
[11] ATR-MIR spectroscopy to predict commercial milk major components: A comparison between a handheld and a benchtop instrument
G. Gorla, M. Mestres, R. Boqué, J. Riu, D. Spanu, B. Giussani, Chemometrics and Intelligent Laboratory Systems, 2020, 200. [pdf] [doi]
[10] A novel point-of-care device for blood potassium detection of patients on dialysis: Comparison with a reference method [Un nuevo dispositivo de punto de atención para la detección de potasio en sangre de pacientes en diálisis: comparación con un método de referencia]
M. Novell, N. Rico, P. Blondeau, M. Blasco, A. Maceira, J.L. Bedini, F.J. Andrade, F. Maduell, Nefrologia, 2020, 40, 363-364. [pdf] [doi]
[9] Electrochemical biosensors for the detection of pathogenic bacteria in food
J. Riu, B. Giussani, TrAC - Trends in Analytical Chemistry, 2020, 126. [pdf] [doi]
[8] Quantitation of endogenous amount of ethanol, methanol and acetaldehyde in ripe fruits of different Spanish olive varieties
A. Boudebouz, A. Romero, R. Boqué, L. Aceña, O. Busto, M. Mestres, Journal of the Science of Food and Agriculture, 2020, 100, 3173-3181. [pdf] [doi]
[7] Process Monitoring of Moisture Content and Mass Transfer Rate in a Fluidised Bed with a Low Cost Inline MEMS NIR Sensor
C.R. Avila, J. Ferré, R.R. de Oliveira, A. de Juan, W.E. Sinclair, F.M. Mahdi, A. Hassanpour, T.N. Hunter, R.A. Bourne, F.L. Muller, Pharmaceutical Research, 2020, 37. [pdf] [doi]
[6] Fast detection and quantification of pork meat in other meats by reflectance FT-NIR spectroscopy and multivariate analysis
F. Mabood, R. Boqué, A.Y. Alkindi, A. Al-Harrasi, I.S. Al Amri, S. Boukra, F. Jabeen, J. Hussain, G. Abbas, Z. Naureen, Q.M.I. Haq, H.H. Shah, A. Khan, S.K. Khalaf, I. Kadim, Meat Science, 2020, 163. [pdf] [doi]
[5] ATR-MIR spectroscopy and multivariate analysis in alcoholic fermentation monitoring and lactic acid bacteria spoilage detection
J. Cavaglia, D. Schorn-García, B. Giussani, J. Ferré, O. Busto, L. Aceña, M. Mestres, R. Boqué, Food Control, 2020, 109. [pdf] [doi]
[4] Quantitative analysis of the interaction of ammonia with 1-(2-hydroxyethyl)-3-methylimidazolium tetrafluoroborate ionic liquid. Understanding the volumetric and transport properties of their mixtures
M.S. Larrechi, A. Cera-Manjarres, D. Salavera, A. Coronas, Journal of Molecular Liquids, 2020, 301. [pdf] [doi]
[3] Thread based microfluidic platform for urinary creatinine analysis
M.J. Arroyo, M.M. Erenas, I.D. Orbe-Payá, K. Cantrell, J.A. Dobado, P. Ballester, P. Blondeau, A. Salinas-Castillo, L.F. Capitán-Vallvey, Sensors and Actuators, B: Chemical, 2020, 305. [pdf] [doi]
[2] Controlling the mixed potential of polyelectrolyte-coated platinum electrodes for the potentiometric detection of hydrogen peroxide
J.F. Baez, M. Compton, S. Chahrati, R. Cánovas, P. Blondeau, F.J. Andrade, Analytica Chimica Acta, 2020, 1097, 204-213. [pdf] [doi]
[1] Comparison of Different Multivariate Classification Methods for the Detection of Adulterations in Grape Nectars by Using Low-Field Nuclear Magnetic Resonance
C.S.W. Miaw, P.M. Santos, A.R.C.S. Silva, A. Gozzi, N.C.C. Guimarães, M.P. Callao, I. Ruisánchez, M.M. Sena, S.V.C. de Souza, Food Analytical Methods, 2020, 13, 108-118. [pdf] [doi]
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