Pesticide monitoring in water using laser-induced fluorescence and absorption techniques

Pascu, Mihail-Lucian; Cristu, Doina; Vasile, Aurelia; Moise, Nicolae

doi:10.1117/12.203507

Cited by 2 publications

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“…In fact, the fluorescent DOM fractions that are generally observed in surface water, and that provide water quality information, are protein‐like – indicator of microbial activity and humic‐like – indicator of terrestrial activity. Many studies have shown that fluorescence spectroscopy can characterize natural organic matter and detect different types of aquatic pollutants, like sewage, petroleum products or pesticides . But another possible application could be the understanding of the interaction between metals salts (like uranyl ion or its complexes) and DOM (or soil fulvic acids) to be able to develop a method or a device to monitor and predict the transport of radioactive metals in aquatic systems.…”

Section: Problem Statement: Canonical Polyadic Decomposition Of Fluormentioning

confidence: 99%

A regularized nonnegative canonical polyadic decomposition algorithm with preprocessing for 3D fluorescence spectroscopy

Royer

Thirion-Moreau

Comon

et al. 2015

Journal of Chemometrics

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International audienceWe consider blind source separation in chemical analysis focussing on the 3D fluorescence spectroscopy framework. We present an alternative method to process the Fluorescence Excitation-Emission Matrices (FEEM): first, a preprocessing is applied to eliminate the Raman and Rayleigh scattering peaks that clutter the FEEM. To improve its robustness versus possible improper settings, we suggest to associate the classical Zepp's method with a morphological image filtering technique. Then, in a second stage, the Canonical Polyadic (CP or Cande-comp/Parafac) decomposition of a nonnegative 3-way array has to be computed. In the fluorescence spectroscopy context, the constituent vectors of the loading matrices should be nonnegative (since standing for spectra and concentrations). Thus, we suggest a new NonNegative third order CP decomposition algorithm (NNCP) based on a non linear conjugate gradient optimisation algorithm with regularization terms and periodic restarts. Computer simulations performed on real experimental data are provided to enlighten the effectiveness and robustness of the whole processing chain and to validate the approach

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Section: Problem Statement: Canonical Polyadic Decomposition Of Fluormentioning

confidence: 99%

A regularized nonnegative canonical polyadic decomposition algorithm with preprocessing for 3D fluorescence spectroscopy

Royer

Thirion-Moreau

Comon

et al. 2015

Journal of Chemometrics

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Fluorescence Spectroscopy as a Potential Tool for In-Situ Monitoring of Dissolved Organic Matter in Surface Water Systems

Cârstea¹

2012

Water Pollution

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Pesticide monitoring in water using laser-induced fluorescence and absorption techniques

Cited by 2 publications

References 0 publications

A regularized nonnegative canonical polyadic decomposition algorithm with preprocessing for 3D fluorescence spectroscopy

A regularized nonnegative canonical polyadic decomposition algorithm with preprocessing for 3D fluorescence spectroscopy

Fluorescence Spectroscopy as a Potential Tool for In-Situ Monitoring of Dissolved Organic Matter in Surface Water Systems

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