Welcome

The activity of the Chemometrics, Qualimetrics and Nanosensors Group focuses on two main areas. On the one hand, the Group focuses on the development and application of multivariate data analysis methods to fully exploit measurements from NIR, MIR, UV-Vis and fluorescence spectrophotometry, MS spectrometry, hyphenated techniques (HPLC-DAD, GC-MS,…) and spectral imaging for a variety of applications, ranging from the petrochemical industry to the food industry. The group investigates multivariate representation, classification and calibration methods that allow, for example, real-time analysis of the qualitative and quantitative development of systems (such as certain industrial chemical processes), classify (bio)chemical samples, determine the geographical origin of food products (wine and olive oil), and solve environmental problems.

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Last papers

Publications in revistes2/last_papers.bib [rss]
2022
[6] 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]
[5] 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]
[4] 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]
[3] 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]
[2] 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]
[1] 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]
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