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Chromatographic Analysis of Pollutants

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: closed (15 February 2021) | Viewed by 3088

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Dear Colleagues,

A large variety of organic compounds generated by anthropic activities, belonging to different chemical families and with diverse physicochemical properties, are widely distributed in air, soil, and the aquatic environment, and urban and industrial areas. Classical contaminants include pesticides, fertilizers, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and dioxins. Other chemical species, previously not monitored or not considered ecotoxicologically relevant, are nowadays under the attention of the scientific community and public opinion. Surfactants and their metabolites, pharmaceuticals, illicit drugs, personal care and disinfection products, and perfluorinated compounds, are, among others, the environmental contaminants of recent concern.

Pollution monitoring requires accurate analytical methods able to detect trace or subtrace levels of the anthropogenic contaminants in various environmental and biological matrices. In addition, understanding of the fate of micropollutants in the aquatic environment, in soil and throughout the food chains is also crucial to improve the efficiency of policies for the preservation of the natural and living resources and the safeguard of human health.

The chromatographic methods, high-performance liquid chromatography (HPLC), ultra-high gas chromatography (UHPLC), gas chromatography (GC), and bidimensional chromatographic techniques play a pivotal role in the separation, identification, and quantification of classical and emerging pollutants in complex environmental and biological systems.

This Special Issue is intended to highlight recent developments regarding the chromatographic analysis of pollutants in environmental and biological matrices. Manuscripts describing innovative approaches for the pre-analytical sample treatment and chromatographic applications aimed at investigating persistency, mobility, and degradation pathways of organic contaminants in the environment and living organisms are also welcome.

Prof. Dr. Angelo A. D'Archivio
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • classical and emerging organic pollutants
  • environmental monitoring
  • chromatographic techniques (HPLC, UHPLC, GC and others)
  • photometric, mass spectrometric and other detection techniques
  • sampling methods 
  • optimisation strategies
  • multi-residue analysis

Published Papers (1 paper)

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14 pages, 5294 KiB  
Retention Modelling of Phenoxy Acid Herbicides in Reversed-Phase HPLC under Gradient Elution
by Alessandra Biancolillo, Maria Anna Maggi, Sebastian Bassi, Federico Marini and Angelo Antonio D’Archivio
Molecules 2020, 25(6), 1262; - 11 Mar 2020
Cited by 3 | Viewed by 2493
Phenoxy acid herbicides are used worldwide and are potential contaminants of drinking water. Reversed phase high-performance liquid chromatography (RP-HPLC) is commonly used to monitor phenoxy acid herbicides in water samples. RP-HPLC retention of phenoxy acids is affected by both mobile phase composition and [...] Read more.
Phenoxy acid herbicides are used worldwide and are potential contaminants of drinking water. Reversed phase high-performance liquid chromatography (RP-HPLC) is commonly used to monitor phenoxy acid herbicides in water samples. RP-HPLC retention of phenoxy acids is affected by both mobile phase composition and pH, but the synergic effect of these two factors, which is also dependent on the structure and pKa of solutes, cannot be easily predicted. In this paper, to support the setup of RP-HPLC analysis of phenoxy acids under application of linear mobile phase gradients we modelled the simultaneous effect of the molecular structure and the elution conditions (pH, initial acetonitrile content in the eluent and gradient slope) on the retention of the solutes. In particular, the chromatographic conditions and the molecular descriptors collected on the analyzed compounds were used to estimate the retention factor k by Partial Least Squares (PLS) regression. Eventually, a variable selection approach, Genetic Algorithms, was used to reduce the model complexity and allow an easier interpretation. The PLS model calibrated on the retention data of 15 solutes and successively tested on three external analytes provided satisfying and reliable results. Full article
(This article belongs to the Special Issue Chromatographic Analysis of Pollutants)
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