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New Technologies for Water Quality: Treatment and Monitoring

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: 20 August 2026 | Viewed by 1418

Special Issue Editor


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Guest Editor
School of Civil Engineering and Built Environment, Liverpool John Moores University (LJMU), Liverpool, UK
Interests: numerical and mathematical modeling of soil erosion and sediment transport; water treatment technologies numerical modeling of two-phase flows in mini- and micro-channels with heat and mass transfers; numerical modeling of two-phase flows in porous media; numerical modeling of droplet impact/absorption phenomena; numerical investigation of phase-change heat transfer (boiling/condensation); development, validation, and application of numerical methods for the simulation of multi-phase and particulate flows
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Special Issue Information

Dear Colleagues,

This Special Issue aims aims to cover all related aspects of new technologies for water quality, i.e., treatment, monitoring, their development, implementation, characterization, validation, application, etc. The growing presence of emerging contaminants that cannot be effectively removed using conventional treatment technologies and methods has created an urgent need for innovative solutions. Water quality treatment and monitoring technologies are based on advanced systems with purification and analytical capabilities that enable real-time assessment and improvement of water quality parameters, particularly for challenging contaminants such as pharmaceuticals, personal care products, microplastics, and endocrine disrupting compounds. Some of the most important emerging technologies are smart treatment systems, which are able to respond appropriately to water quality changes, such as autonomous treatment platforms or adaptive purification processes. On the other hand, the integration of nanotechnology, artificial intelligence, and IoT connectivity into treatment and monitoring systems has broadened the range of possibilities to develop new functionalities, i.e., multi-parameter detection, advanced oxidation processes, enhanced filtration, and predictive analytics. These new technologies are being developed for many different applications to address the most critical needs in areas such as environmental protection, public health, industrial process control, and sustainable water management.

Topics of interest include the following:

  • Advanced treatment technologies: membrane processes, advanced oxidation, and hybrid systems.
  • Smart monitoring systems and IoT-enabled water quality networks.
  • Real-time treatment control and continuous monitoring technologies: autonomous platforms, wireless sensor networks, and remote sensing.
  • Novel detection methods and treatment techniques for emerging contaminants.
  • Nanotechnology-based treatment and detection systems.
  • Artificial intelligence and machine learning applications in water treatment optimization.
  • Portable and decentralized treatment and monitoring devices.
  • Early warning systems and predictive treatment approaches.
  • Validation and performance assessment methods for new treatment technologies.
  • Integration of treatment and monitoring systems for comprehensive water management.

We look forward to your contribtuions.

Dr. Manolia Andredaki
Guest Editor

Manuscript Submission Information

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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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • water quality
  • advanced treatment technologies
  • real-time monitoring
  • emerging contaminants
  • smart sensors
  • nanotechnology
  • artificial intelligence

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Published Papers (2 papers)

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Research

15 pages, 1059 KB  
Article
Chemometric Optimization of UHPLC Separation of Multiclass Pesticides of Environmental Interest
by Fabrizio Ruggieri, Francesca Commito, Maria Anna Maggi, Mariagiovanna Accili, Martina Foschi and Alessandra Biancolillo
Appl. Sci. 2026, 16(7), 3184; https://doi.org/10.3390/app16073184 - 26 Mar 2026
Viewed by 369
Abstract
Pesticides constitute a critical class of anthropogenic contaminants whose pervasive occurrence in surface waters, groundwater, and drinking water distribution systems poses substantial ecological and public health risks. Their pronounced structural heterogeneity, spanning highly polar herbicides to hydrophobic fungicides, together with their co-occurrence at [...] Read more.
Pesticides constitute a critical class of anthropogenic contaminants whose pervasive occurrence in surface waters, groundwater, and drinking water distribution systems poses substantial ecological and public health risks. Their pronounced structural heterogeneity, spanning highly polar herbicides to hydrophobic fungicides, together with their co-occurrence at trace levels, requires analytical methodologies capable of delivering rapid, robust, and high-resolution separations. In this study, a UHPLC-based analytical strategy is presented as a methodological framework for the development and optimization of UHPLC methods targeting multiresidue pesticide mixtures of environmental interest. The framework integrates a two-factor, three-level Design of Experiments, quadratic response surface modeling, and a multicriteria global desirability function to optimize the chromatographic resolution of 27 environmentally relevant pesticides. Statistical modeling revealed significant linear and quadratic effects of flow rate and gradient duration, highlighting the importance of multivariate optimization for complex multiresidue separations. The optimized UHPLC conditions improved simultaneous resolution, particularly for structurally similar analytes prone to coelution under conventional HPLC conditions. Overall, this work provides a statistically supported and transferable methodology for chemometric optimization of UHPLC separations and establishes a basis for extending desirability-driven optimization to additional classes of organic contaminants. Full article
(This article belongs to the Special Issue New Technologies for Water Quality: Treatment and Monitoring)
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24 pages, 5466 KB  
Article
Magnesium Dross and Ground Granulated Blast Furnace Slag Utilisation for Phosphate Elimination from Water
by Reham Alwash, Manolia Andredaki, Iacopo Carnacina, Monower Sadique and Joseph Amoako-Attah
Appl. Sci. 2025, 15(23), 12844; https://doi.org/10.3390/app152312844 - 4 Dec 2025
Viewed by 667
Abstract
It is well known that elevated phosphate concentrations in water bodies trigger the eutrophication process, posing adverse environmental, health, and economic consequences that necessitate effective removal solutions. Phosphate removal has therefore been widely studied using various methods, including chemical precipitation, membrane filtration, and [...] Read more.
It is well known that elevated phosphate concentrations in water bodies trigger the eutrophication process, posing adverse environmental, health, and economic consequences that necessitate effective removal solutions. Phosphate removal has therefore been widely studied using various methods, including chemical precipitation, membrane filtration, and crystallisation. However, most of these methods are often expensive or inefficient for low phosphate concentrations. Therefore, in this study, an eco-friendly, sustainable and biodegradable adsorbent was manufactured by extracting calcium ions from an industrial by-product, ground granulated blast furnace slag (GGBS) and magnesium ions from magnesium dross (MgD), then immobilising them on sodium alginate to form Ca-Mg-SA beads. The new adsorbent was applied to remove phosphate from water under different flow patterns (batch and continuous flow), initial pH levels, contact times, agitation speeds and adsorbent doses. Additionally, the degradation time of the new adsorbent, recycling potential, its morphology, formation of functional groups and chemical composition were investigated. The results obtained from batch experiments demonstrated that the new adsorbent achieved 90.2% phosphate removal efficiency from a 10 mg/L initial concentration, with a maximum adsorption capacity of 1.75 mg P/g at an initial pH of 7, a contact time of 120 min, an agitation speed of 200 rpm and an adsorbent dose of 1.25 g/50 mL. The column experiments demonstrated a 0.82 mg P/g removal capacity under the same optimal conditions as the batch experiments. The findings also showed that the adsorption process fitted well to the Freundlich and Langmuir isotherm models and followed a pseudo-second-order kinetic model. Characterisation of Ca-Mg-SA beads using EDX, SEM and FTIR confirmed successful ion immobilisation and phosphate adsorption. Furthermore, the beads fully biodegraded in soil within 75 days and demonstrated potential recycling as a fertiliser. Full article
(This article belongs to the Special Issue New Technologies for Water Quality: Treatment and Monitoring)
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