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Processes
Special Issues
Advanced Green Analytical Chemistry for Environmental Pollutants Detection
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Advanced Green Analytical Chemistry for Environmental Pollutants Detection

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1580

Special Issue Editors

Prof. Dr. Mariela Pistón

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Guest Editor
Grupo de Análisis de Elementos Traza y Desarrollo de Estrategias Simples para Preparación de Muestras (GATPREM), Química Analítica (DEC), Facultad de Química, Universidad de la República, Montevideo 11200, Uruguay
Interests: sample preparation; green analytical chemistry; trace element analysis; atomic spectrometry; XRF; flow injection analysis; food chemistry
Dr. Caterina Rufo

E-Mail Website
Guest Editor
Laboratorio Alimentos y Nutrición, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República, Montevideo 11200, Uruguay
Interests: food safety; food science; nutrition; risk assessment; environmental chemistry; waste management

Special Issue Information

Dear Colleagues,

Analytical methods applied for the determination of pollutants in the environment and food are increasingly important not only for learning about sample composition but also to assess health risks.

Developing new analytical methods that are environmentally friendly, fast, and low-cost with adequate figures of merit is a challenge in the analysis of pollutants in environmental and food analysis.

Well-known and widely used standardized methods do not comply with the basic principles of Green Analytical Chemistry (GAC). To propose new environmental and food analytical methods as reference methods, the procedures must be exhaustively validated and evaluated considering the figures of merit related to the complete method. They must be robust and reliable.

This Special Issue will bring together novel analytical methods that comply with the principles of GAC (or WAC or BAGI). Manuscripts must detail how this is accomplished through standardized procedures such as the use of GAC tools (AGREE, AGREEprep, WAC, BAGI, among others). New metrics are encouraged. The use of green analytical metrics is an interesting tool to compare several parameters that usually are not considered in regular publications such as sample transport, preservation, energy consumption, real time analysis, quality assurance, and waste, among others. Original research and review articles are welcome.

Potential topics include, but are not limited to, the following:

  • Green analytical methods applied for the determination of pollutants in environmental and food samples;
  • Simple and fast analytical methods applied for environmental and food analysis that involve ultrasound extraction, miniaturization, or preconcentration/minimum steps in sample preparation;
  • Classical or standard reference analytical methods with outstanding modifications to be green;
  • New metrics for the evaluation of greenness in the environmental analysis of pollutants.  

Prof. Dr. Mariela Pistón
Dr. Caterina Rufo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.

Keywords

  • environmental pollutant analysis
  • green analytical methods
  • food safety

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

16 pages, 3527 KiB  
Article
Combining Analytical Strategies to Provide Qualitative and Quantitative Analysis and Risk Assessment on Pharmaceuticals and Metabolites in Hospital Wastewaters
by Lisandro von Mühlen, Marisa Demarco, Carla Sirtori, Renato Zanella and Osmar Damian Prestes
Processes 2025, 13(2), 307; https://doi.org/10.3390/pr13020307 - 23 Jan 2025
Viewed by 524
Abstract
The improper disposal of hospital wastewater (HWW) is a primary source of pharmaceutical pollution in aquatic systems. The complexity of the HWW matrix presents significant challenges for analytical chemists, necessitating meticulous sample preparation as the initial step for the analysis, followed by instrumental [...] Read more.
The improper disposal of hospital wastewater (HWW) is a primary source of pharmaceutical pollution in aquatic systems. The complexity of the HWW matrix presents significant challenges for analytical chemists, necessitating meticulous sample preparation as the initial step for the analysis, followed by instrumental analysis. In the present study, a combination of dispersive solid phase extraction and solid phase extraction was evaluated for the preparation of HWW samples from two hospitals in Porto Alegre, Brazil, both for screening and quantitative analysis. The experiments performed by UHPLC-QTOF MS allowed the identification of 27 compounds and 23 suspected compounds. Furthermore, the UHPLC-QqQ-MS analysis enabled the quantification of 21 compounds, with concentrations ranging from 1.17 µg L−1 to 213.33 µg L−1. Notably, the pharmaceutical ciprofloxacin was detected at a concentration that exceeded the reported risk level for Microcystis aeruginosa. The environmental risk assessment revealed that the risk quotient (RQ) for several of the compounds quantified in the two HWW matrices exceeded 1, with the risk quotient of the mixture of compounds (RQmix) being approximately 30 × 106 for Hospital A and 20 × 106 for Hospital B. According to these findings, the two HWW systems exhibited risk levels for aquatic species and small rodents, thereby contributing to the persistence of pharmaceuticals in the environment. Full article
(This article belongs to the Special Issue Advanced Green Analytical Chemistry for Environmental Pollutants Detection)
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16 pages, 4933 KiB  
Article
The Effect of Chemical Composition on the Morphology of Pb/Zn-Containing Dust
by Wendan Tang, Qian Li, Na Huang and Shuoran Wang
Processes 2024, 12(12), 2734; https://doi.org/10.3390/pr12122734 - 3 Dec 2024
Viewed by 679
Abstract
Dust containing lead and zinc is a harmful contaminant, which causes serious harm to the natural environment and human health. At present, it is believed that the microscopic morphology of lead-zinc dust is intimately related to its biological toxicity. Chemical composition serves as [...] Read more.
Dust containing lead and zinc is a harmful contaminant, which causes serious harm to the natural environment and human health. At present, it is believed that the microscopic morphology of lead-zinc dust is intimately related to its biological toxicity. Chemical composition serves as a pivotal factor influencing the structural characteristics of dust. However, research on the impact of chemical composition variations on the microscopic morphology of dust containing lead and zinc remains inadequate. The particle size analysis reveals that as PbO content increases and ZnO content decreases, the particle size of the dust diminishes, but some samples exhibit a larger agglomeration structure. Combined with the results of the box number method, it is evident that at lower magnifications, an increase in PbO content leads to a decrease in image complexity and a loosening of aggregated structures. The similarity in pile shapes amplifies this trend, resulting in a decline in the box-counting dimension (D value) within the PbO/ZnO ratio range of 26.45 to 138, accompanied by an inverse change in the corresponding goodness of fit R-sq value. At the observation multiple of 30,000 times (30 K), smaller particles within the sample become visible, and the presence of relatively larger particles and complex sizes enhances the fractal characteristics of the sample, leading to a higher D value. Within the PbO/ZnO ratio range of 90/10 to 99/1, a coupling relationship exists between the chemical composition of the sample and the morphology of the dust. Specifically, the PbO/ZnO ratio exhibits a positive correlation with the D value. Conversely, the diversity of corresponding fractal features is negatively correlated with the D value. When the PbO content surpasses 99%, this correlation weakens, and the diversity of graphical representations displays an alternating pattern of growth and decrease. Notably, the D value and the goodness of fit (R-sq) of the D value are negatively correlated, indicating that as the complexity of the graph increases, the goodness of fit decreases. Full article
(This article belongs to the Special Issue Advanced Green Analytical Chemistry for Environmental Pollutants Detection)
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