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Arsenio Muñoz de la Peña

Researcher at University of Extremadura

Publications -  89
Citations -  2562

Arsenio Muñoz de la Peña is an academic researcher from University of Extremadura. The author has contributed to research in topics: Fluorescence spectrometry & Detection limit. The author has an hindex of 27, co-authored 85 publications receiving 2377 citations. Previous affiliations of Arsenio Muñoz de la Peña include National University of the Littoral & National University of Rosario.

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Second- and third-order multivariate calibration: data, algorithms and applications

TL;DR: A number of applications are presented, selected from recent second- and third-order experimental works based on data obtained through excitation-emission fluorescence spectroscopy, spectral-kinetic and spectral-pH measurements, and hyphenated techniques.
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Second- and higher-order data generation and calibration : a tutorial

TL;DR: An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects.
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Second-order advantage achieved with four-way fluorescence excitation-emission-kinetic data processed by parallel factor analysis and trilinear least-squares. Determination of methotrexate and leucovorin in human urine.

TL;DR: Four-way fluorescence data recorded by following the kinetic evolution of excitation-emission fluorescence matrices (EEMs) have been analyzed by parallel factor analysis and trilinear least-squares algorithms, and good recoveries were obtained in synthetic binary samples and also in spiked urine samples.
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Interference-free analysis using three-way fluorescence data and the parallel factor model. Determination of fluoroquinolone antibiotics in human serum.

TL;DR: Three-way fluorescence data and multivariate calibration based on parallel factor analysis (PARAFAC) are combined for the simultaneous quantitation of three fluoroquinolone anitibiotics in human serum samples, allowing obtaining individual concentrations of calibrated analytes in the presence of any number of uncalibrated (serum) components.
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Trilinear least-squares and unfolded-PLS coupled to residual trilinearization: New chemometric tools for the analysis of four-way instrumental data

TL;DR: In this article, a new chemometric algorithm, trilinear least-squares (TLLS) coupled to residual bilinearization (RTL), developed as an extension of one of the variants of BLLS, is described for the analysis of four-way data.