Azerbaijani scientists analyze water purification mechanisms

SOCIETY19.10.2026
Azerbaijani scientists analyze water purification mechanisms

An review article co-authored by employees of the Institute of Chemistry of the Ministry of Science and Education and the Institute of Petrochemical Processes has been published in an international scientific journal.

It was reported to elchi from the Institute of Chemistry that the article titled “Polymer Sorbents for Wastewater Treatment: Structure-Performance Relationships and Adsorption Mechanisms” was published in the journal “Environmental Quality Management”, indexed in the international scientific databases “Web of Science” and “Scopus”. The journal’s impact factor is 2.3, and its quartile is Q3.

The authors of the article are employees of the Laboratory of Nanostructured Metal-Polymer Catalysts of the Institute of Chemistry, Chichak Seyidova, Hajar Aslanova, Nigar Shikhverdiyeva, Nigar Rahimli, Jamila Guliyeva, Ayataj Javadzadeh, Ulviyya Mammadova, and Nizami Zeynalov, as well as Parvana Movsumova, an employee of the Institute of Petrochemical Processes. The review article analyzes polymer-based sorbents used in wastewater treatment, the relationships between their structure and adsorption efficiency, and the mechanisms for separating various pollutants from water. The article reviewed the application possibilities of polymer sorbents in the purification of heavy metals, synthetic dyes, per- and polyfluoroalkyl substances (PFAS), pharmaceutical residues, and endocrine-disrupting compounds. The influence of the modification of functional groups of polymers, their construction density, and porous structure on the adsorption process was evaluated.

In addition, scientific information about promising materials such as molecularly imprinted polymers, polymer ion liquids, stimuli-responsive hydrogels, and magnetic polymer nanocomposites was summarized. Existing challenges related to the regeneration, reuse, structural stability, and practical application of sorbents were analyzed. Attention was also paid to the application prospects of machine learning approaches in the design of polymer sorbents in future research.

The article is an important source for scientific research on the development of polymer-based sorbents, the improvement of wastewater treatment technologies, and the solution of environmental problems.