European Journal of Sustainable Development Research

• Adamopoulos, I. P., Frantzana, A. A., & Syrou, N. F. (2023a). Epidemiological surveillance and environmental hygiene, SARS-CoV-2 infection in the community, urban wastewater control in Cyprus, and water reuse. Journal of Contemporary Studies in Epidemiology and Public Health, 4(1), Article ep23003. https://doi.org/10.29333/jconseph/12948
• Adamopoulos, I. P., Frantzana, A. A., & Syrou, N. F. (2024a). Climate crises associated with epidemiological, environmental, and ecosystem effects of a storm: Flooding, landslides, and damage to urban and rural areas (extreme weather events of storm Daniel in Thessaly, Greece). Medical Sciences Forum, 25(1), Article 7. https://doi.org/10.3390/msf2024025007
• Adamopoulos, I. P., & Syrou, N. F. (2023c). Occupational hazards associated with the quality and training needs of public health inspectors in Greece. Medical Sciences Forum, 19(1), Article 2. https://doi.org/10.3390/msf2023019002
• Adamopoulos, I. P., Frantzana, A. A., Adamopoulou, J. P., & Syrou, N. F. (2023b). Climate change and adverse public health impacts on human health and water resources. Environmental Sciences Proceedings, 26(1), Article 178. https://doi.org/10.3390/environsciproc2023026178
• Adamopoulos, I. P., Lamnisos, D., Syrou, N. F., & Boustras, G. (2022). Public health and work safety pilot study: Inspection of job risks, burn out syndrome and job satisfaction of public health inspectors in Greece. Safety Science, 147, Article 105592. https://doi.org/10.1016/j.ssci.2021.105592
• Adamopoulos, I. P., Syrou, N. F., & Adamopoulou, J. P. (2024b). Greece’s current water and wastewater regulations and the risks they pose to environmental hygiene and public health, as recommended by the European Union Commission. European Journal of Sustainable Development Research, 8(2), Article em0251. https://doi.org/10.29333/ejosdr/14301
• Adamopoulou, J. P., Frantzana, A. A., & Adamopoulos, I. P. (2023). Addressing water resource management challenges in the context of climate change and human influence. European Journal of Sustainable Development Research, 7(3), Article em0223. https://doi.org/10.29333/ejosdr/13297
• Ahrens, L., & Bundschuh, M. (2014). Fate and effects of poly- and perfluoroalkyl substances in the aquatic environment: A review. Environmental Toxicology and Chemistry, 33(9), 1921-1929. https://doi.org/10.1002/etc.2663
• ATSDR. (2020). PFAS exposure assessments final report. Agency for Toxic Substances and Disease Registry. https://www.atsdr.cdc.gov/pfas
• Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024). Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review. Environmental Science and Ecotechnology, 19, Article 100330. https://doi.org/10.1016/j.ese.2023.100330
• Bolan, N., Sarkar, B., Yan, Y., Li, Q., Wijesekara, H., Kannan, K., Tsang, D. C. W., Schauerte, M., Bosch, J., Noli, H., Ok, Y. S., Scheckel, K., Kumpiene, J., Gobindlal, K., Kah, M., Sperry, J., Kirkham, M. B., Wang, H., Tsang, Y. F., Hou, D., ... Rinklebe, J. (2021). Remediation of poly-and perfluoroalkyl substances (PFAS) contaminated soils–to mobilize or to immobilize or to degrade? Journal of Hazardous Materials, 401, Article 123892. https://doi.org/10.1016/j.jhazmat.2020.123892
• Breitmeyer, S. E., Williams, A. M., Conlon, M. D., Wertz, T. A., Heflin, B. C., Shull, D. R., & Duris, J. W. (2024). Predicted potential for aquatic exposure effects of per- and polyfluorinated alkyl substances (PFAS) in Pennsylvania’s statewide network of streams. Toxics, 12(12), Article 921. https://doi.org/10.3390/toxics12120921
• C8 Health Project. (2013). Community exposure studies in Parkersburg, West Virginia. C8. https://www.c8sciencepanel.org
• Chen, L., Chen, Z., Zhang, Y., Liu, Y., Osman, A. I., Farghali, M., Hau, J., Al-Fatesh, A., Ihara, I., Rooney, D. W., & Yap, P. S. (2023). Artificial intelligence-based solutions for climate change: A review. Environmental Chemistry Letters, 21(5), 2525-2557. https://doi.org/10.1007/s10311-023-01617-y
• Cousins, I. T., Goldenman, G., Herzke, D., Lohmann, R., Miller, M., Ng, C. A., Patton, S., Scheringer, M., Trier, X., Vierke, L., Wang, Z., & DeWitt, J. C. (2016). The concept of essential use for determining when uses of PFASs can be phased out. Environmental Science: Processes & Impacts, 21(11), 1803-1815. https://doi.org/10.1039/C9EM00163H
• Dauvergne, P. (2022). Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs. Review of International Political Economy, 29(3), 696-718. https://doi.org/10.1080/09692290.2020.1814381
• Di Nisio, A., Pannella, M., Vogiatzis, S., Sut, S., Dall’Acqua, S., Santa Rocca, M., Antonini, A., Porzionato, A., De Caro, R., Bortolozzi, M., De Toni, L., & Foresta, C. (2022). Impairment of human dopaminergic neurons at different developmental stages by perfluoro-octanoic acid (PFOA) and differential human brain areas accumulation of perfluoroalkyl chemicals. Environment International, 158, Article 106982. https://doi.org/10.1016/j.envint.2021.106982
• Ditria, E. M., Buelow, C. A., Gonzalez-Rivero, M., & Connolly, R. M. (2022). Artificial intelligence and automated monitoring for assisting conservation of marine ecosystems: A perspective. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.918104
• Draghi, S., Curone, G., Risoluti, R., Materazzi, S., Gullifa, G., Amoresano, A., Spinelli, M., Fontanarosa, C., Pavlovic, R., Pellegrini, A., Fidani, M., Cagnardi, P., Di Cesare, F., & Arioli, F. (2024). Comparative analysis of PFASs concentrations in fur, muscle, and liver of wild roe deer as biomonitoring matrices. Frontiers in Veterinary Science, 11. https://doi.org/10.3389/fvets.2024.1500651
• ECHA. (2020). Annex XV restriction report: Proposal for a restriction on per- and polyfluoroalkyl substances (PFAS). European Chemicals Agency. https://echa.europa.eu/
• EFSA. (2020). Risk assessment of PFAS in the food chain. European Food Safety Authority. https://www.efsa.europa.eu
• EPA. (2021). Environmental Protection Agency’s strategic plan for addressing PFAS. Environmental Protection Agency. https://www.epa.gov/pfas
• European Commission. (2020). Chemicals strategy for sustainability. European Commission. https://ec.europa.eu/
• Falandysz, J., Liu, G., & Rutkowska, M. (2024). Analytical progress on emerging pollutants in the environment: An overview of the topics. TrAC Trends in Analytical Chemistry, 175, Article 117719. https://doi.org/10.1016/j.trac.2024.117719
• Feinstein, J., Sivaraman, G., Picel, K., Peters, B., Vázquez-Mayagoitia, Á., Ramanathan, A., MacDonell, M., Foster, I., & Yan, E. (2021). Uncertainty-informed deep transfer learning of perfluoroalkyl and polyfluoroalkyl substance toxicity. Journal of Chemical Information and Modeling, 61(12), 5793-5803. https://doi.org/10.1021/acs.jcim.1c01204
• Gerardu, T., Dijkstra, J., Beeltje, H., van Duivenbode, A. V. R., & Griffioen, J. (2023). Accumulation and transport of atmospherically deposited PFOA and PFOS in undisturbed soils downwind from a fluoropolymers factory. Environmental Advances, 11, Article 100332. https://doi.org/10.1016/j.envadv.2023.100332
• Ghisi, R., Vamerali, T., & Manzetti, S. (2019). Accumulation of perfluorinated alkyl substances (PFAS) in agricultural plants: A review. Environmental Research, 169, 326-341. https://doi.org/10.1016/j.envres.2018.10.023
• Giesy, J. P., & Kannan, K. (2001). Global distribution of perfluorooctane sulfonate in wildlife. Environmental Science & Technology, 35(7), 1339-1342. https://doi.org/10.1021/es001834k
• Gill, A. S. & Germann, S. (2022). Conceptual and normative approaches to AI governance for a global digital ecosystem supportive of the UN sustainable development goals (SDGs). AI and Ethics, 2, 293-303. https://doi.org/10.1007/s43681-021-00058-z
• Göckener, B. (2020). Transfer of per- and polyfluoroalkyl substances (PFAS) from feed into milk: Approaching a worst-case scenario. Chemosphere, 249, Article 126111.
• Goldenman, G., Fernandes, M., Holland, M., & Tugran, T. (2019). The cost of inaction: A socioeconomic analysis of environmental and health impacts linked to exposure to PFAS. Nordic Council of Ministers. https://doi.org/10.6027/TN2019-516
• Han, B.-C., Liu, J.-S., Bizimana, A., Zhang, B.-X., Kateryna, S., Zhao, Z., Yu, L.-P., Shen, Z.-Z., & Meng, X.-Z. (2023). Identifying priority PBT-like compounds from emerging PFAS by nontargeted analysis and machine learning models. Environmental Pollution, 338, Article 122663. https://doi.org/10.1016/j.envpol.2023.122663
• Hu, X. C., Dai, M., Sun, J. M., & Sunderland, E. M. (2023). The utility of machine learning models for predicting chemical contaminants in drinking water: Promise, challenges, and opportunities. Current Environmental Health Reports, 10(1), 45-60. https://doi.org/10.1007/s40572-022-00389-x
• Iulini, M., Russo, G., Crispino, E., Paini, A., Fragki, S., Corsini, E., & Pappalardo, F. (2024). Advancing PFAS risk assessment: Integrative approaches using agent-based modelling and physiologically-based kinetic for environmental and health safety. Computational and Structural Biotechnology Journal, 23, 2763-2778. https://doi.org/10.1016/j.csbj.2024.05.012
• Jeong, N., Park, S., Mahajan, S., Zhou, J., Blotevogel, J., Li, Y., Tong, T., & Chen, Y. (2024). Elucidating governing factors of PFAS removal by polyamide membranes using machine learning and molecular simulations. Nature Communications, 15(1), Article 10918. https://doi.org/10.1038/s41467-024-55320-9
• Karbassiyazdi, E., Fattahi, F., Yousefi, N., Tahmassebi, A., Taromi, A. A., Manzari, J. Z., Gandomi, A. H., Altaee, A., & Razmjou, A. (2022). XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions. Environmental Research, 215, Article 114286. https://doi.org/10.1016/j.envres.2022.114286
• Kibbey, T. C. G., Jabrzemski, R., & O’Carroll, D. M. (2021). Predicting the relationship between PFAS component signatures in water and non-water phases through mathematical transformation: Application to machine learning. Chemosphere, 272, Article 129870. https://doi.org/10.1016/j.chemosphere.2021.131097
• Kotthoff, M., Müller, J., Jürling, H., Schlummer, M., & Fiedler, D. (2015). Perfluoroalkyl and polyfluoroalkyl substances in consumer products. Environmental Science and Pollution Research, 22(19), 14546-14559. https://doi.org/10.1007/s11356-015-4202-7
• Koulini, G. V., Vinayagam, V., Nambi, I. M., & Krishna, R. R. (2024). Per- and polyfluoroalkyl substances (PFAS) in Indian environment: Prevalence, impacts and solutions. Journal of Water Process Engineering, 66, Article 105988. https://doi.org/10.1016/j.jwpe.2024.105988
• Lazova-Borisova, İ., & Adamopoulos, I. P. (2024). Compliance of carminic acid application with european legislation for food safety and public health. International Journal of Agricultural and Natural Sciences, 17(1), 89-99. https://doi.org/10.5281/zenodo.10727449
• Lei, L., Pang, R., Han, Z., Wu, D., Xie, B., & Su, Y. (2023). Current applications and future impact of machine learning in emerging contaminants: A review. Critical Reviews in Environmental Science and Technology, 53(20), 1817-1835. https://doi.org/10.1080/10643389.2023.2190313
• Li, R. & MacDonald Gibson, J. (2022). Predicting the occurrence of short-chain PFAS in groundwater using machine-learned Bayesian networks. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.958784
• Liu, Y., D’Agostino, L. A., Qu, G., Jiang, G., & Martin, J. W. (2019). High-resolution mass spectrometry (HRMS) methods for nontarget discovery and characterization of poly- and perfluoroalkyl substances (PFASs) in environmental and human samples. Trends in Analytical Chemistry, 121, Article 115420. https://doi.org/10.1016/j.trac.2019.02.021
• Mijwil, M. M., Adamopoulos, I. P., & Pudasaini, P. (2024). Machine learning helps in quickly diagnosing cases of “new corona”. Mesopotamian Journal of Artificial Intelligence in Healthcare, 2024, 16-19. https://doi.org/10.58496/MJAIH/2024/003
• Navidpour, A. H., Hosseinzadeh, A., Huang, Z., Li, D., & Zhou, J. L. (2024). Application of machine learning algorithms in predicting the photocatalytic degradation of perfluorooctanoic acid. Catalysis Reviews, 66(2), 687-712. https://doi.org/10.1080/01614940.2022.2082650
• OECD. (2021). OECD principles on per- and polyfluoroalkyl substances (PFAS): Towards a framework for global action. Organisation for Economic Co-operation and Development. https://www.oecd.org/
• Peritore, A. F., Gugliandolo, E., Cuzzocrea, S., Crupi, R., & Britti, D. (2023). Current review of increasing animal health threat of per- and polyfluoroalkyl substances (PFAS): Harms, limitations, and alternatives to manage their toxicity. International Journal of Molecular Sciences, 24(14), Article 11707. https://doi.org/10.3390/ijms241411707
• Prasad, M. N. V. & Elchuri, S. V. (2023). Environmental contaminants of emerging concern: Occurrence and remediation. Chemistry-Didactics-Ecology-Metrology, 28(1-2). https://doi.org/10.2478/cdem-2023-0004
• Rahman, M. F., Peldszus, S., & Anderson, W. B. (2014). Behaviour and fate of perfluoroalkyl and polyfluoroalkyl substances (PFASs) in drinking water treatment: A review. Water Research, 50, 318-340. https://doi.org/10.1016/j.watres.2013.10.045
• Ross, I., et al. (2018). A review of emerging technologies for remediation of PFASs. Remediation Journal, 28(2), 101-126. https://doi.org/10.1002/rem.21553
• Said, T. O., & El Zokm, G. M. (2024). Fate, bioaccumulation, remediation, and prevention of POPs in aquatic systems regarding future orientation. In Persistent organic pollutants in aquatic systems: Classification, toxicity, remediation and future (pp. 115-148). Springer. https://doi.org/10.1007/978-3-031-53341-9_6
• Scheringer, M., Trier, X., Cousins, I. T., de Voogt, P., Fletcher, T., Wang, Z., & Webster, T. F. (2014). Helsingør statement on poly- and perfluorinated alkyl substances (PFASs). Chemosphere, 114, 337-339. https://doi.org/10.1016/j.chemosphere.2014.05.044
• Shivaprakash, K. N., Swami, N., Mysorekar, S., Arora, R., Gangadharan, A., Vohra, K., Jadeyegowda, M., & Kiesecker, J. M. (2022). Potential for artificial intelligence (AI) and machine learning (ML) applications in biodiversity conservation, managing forests, and related services in India. Sustainability, 14(12), Article 7154. https://doi.org/10.3390/su14127154
• Sivagami, K., Sharma, P., Karim, A. V., Mohanakrishna, G., Karthika, S., Divyapriya, G., Saravanathamizhan, R., & Kumar, A. N. (2023). Electrochemical-based approaches for the treatment of forever chemicals: Removal of perfluoroalkyl and polyfluoroalkyl substances (PFAS) from wastewater. Science of the Total Environment, 861, Article 160440. https://doi.org/10.1016/j.scitotenv.2022.160440
• Stahl, B. C. (2021). Artificial intelligence for a better future: An ecosystem perspective on the ethics of AI and emerging digital technologies. Springer. https://doi.org/10.1007/978-3-030-69978-9
• Stensson, N., Lignell, S., Freeman, D., Jordan, F., Helmfrid, I., Karlsson, H., & Ljunggren, S. (2023). PFAS and Lipoproteomics in Swedish Adolescents. SSRN. https://doi.org/10.2139/ssrn.5101490
• Su, A., Cheng, Y., Zhang, C., Yang, Y. F., She, Y. B., & Rajan, K. (2024). An artificial intelligence platform for automated PFAS subgroup classification: A discovery tool for PFAS screening. Science of The Total Environment, 921, Article 171229. https://doi.org/10.1016/j.scitotenv.2024.171229
• Tao, L., Tang, W., Xia, Z., Wu, B., Liu, H., Fu, J., Lu, Q., Guo, L., Gao, C., Zhou, Q., Fan, Y., Xu, D.-X., & Huang, Y. (2024). Machine learning predicts the serum PFOA and PFOS levels in pregnant women: Enhancement of fatty acid status on model performance. Environment International, 190, 108837. https://doi.org/10.1016/j.envint.2024.108837
• Tatarinov, K., Ambos, T. C., & Tschang, F. T. (2022). Scaling digital solutions for wicked problems: Ecosystem versatility. Journal of International Business Studies, 54(4), Article 631. https://doi.org/10.1057/s41267-022-00526-6
• Tokranov, A. K., Ransom, K. M., Bexfield, L. M., Lindsey, B. D., Watson, E., Dupuy, D. I., Stackelberg, P. E., Fram, M. S., Voss, S. A., Kingsbury, J. A., Jurgens, B. C., Smalling, K. L., & Bradley, P. M. (2024). Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States. Science, 386(6723), 748-755. https://doi.org/10.1126/science.ado6638
• Valamontes, A. P. (2024). Accessible research papers for individuals with dyslexia and autism spectrum disorders. Academia. https://doi.org/10.13140/RG.2.2.34352.37126
• Vierke, L., Staude, C., Biegel-Engler, A., Drost, W., & Schulte, C. (2012). Perfluorooctanoic acid (PFOA)–A new kid on the block in the EU legislation for chemicals. Environmental Sciences Europe, 24, Article 16. https://doi.org/10.1186/2190-4715-24-16
• Winchell, L. J., Ross, J. J., Wells, M. J., Fonoll, X., Norton Jr, J. W., & Bell, K. Y. (2021). Per- and polyfluoroalkyl substances thermal destruction at water resource recovery facilities: A state of the science review. Water Environment Research, 93(6), 826-843. https://doi.org/10.1002/wer.1483
• Winchell, L. J., Wells, M. J. M., Ross, J. J., Fonoll, X., Norton Jr, J. W., Asce, M., Kuplicki, S., Khan, M., & Bell, K. Y. (2022). Per- and polyfluoroalkyl substances presence, pathways, and cycling through drinking water and wastewater treatment. Journal of Environmental Engineering, 148(1), Article 03121003. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001933
• Yigitcanlar, T., Mehmood, R., & Corchado, J. M. (2021). Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures. Sustainability, 13(3), Article 1318. https://doi.org/10.3390/su13168952
• Zhang, K., & Zhang, H. (2022). Machine learning modeling of environmentally relevant chemical reactions for organic compounds. ACS ES&T Water, 2(5), 745-754. https://doi.org/10.1021/acsestwater.1c00345
• Zhao, L. (2018). Adsorption of perfluoroalkyl substances (PFASs) in water by carbonaceous adsorbents: A review. Critical Reviews in Environmental Science and Technology, 48(11), 1042-1083.

APA

Adamopoulos, I. P., Valamontes, A., Karantonis, J. T., Syrou, N. F., Damikouka, I., & Dounias, G. (2025). The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability. European Journal of Sustainable Development Research, 9(2), em0288. https://doi.org/10.29333/ejosdr/16289

Vancouver

Adamopoulos IP, Valamontes A, Karantonis JT, Syrou NF, Damikouka I, Dounias G. The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability. EUR J SUSTAIN DEV RES. 2025;9(2):em0288. https://doi.org/10.29333/ejosdr/16289

AMA

Adamopoulos IP, Valamontes A, Karantonis JT, Syrou NF, Damikouka I, Dounias G. The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability. EUR J SUSTAIN DEV RES. 2025;9(2), em0288. https://doi.org/10.29333/ejosdr/16289

Chicago

Adamopoulos, Ioannis Pantelis, Antonios Valamontes, John T. Karantonis, Niki Fotios Syrou, Ioanna Damikouka, and George Dounias. "The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability". European Journal of Sustainable Development Research 2025 9 no. 2 (2025): em0288. https://doi.org/10.29333/ejosdr/16289

Harvard

Adamopoulos, I. P., Valamontes, A., Karantonis, J. T., Syrou, N. F., Damikouka, I., and Dounias, G. (2025). The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability. European Journal of Sustainable Development Research, 9(2), em0288. https://doi.org/10.29333/ejosdr/16289

MLA

Adamopoulos, Ioannis Pantelis et al. "The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability". European Journal of Sustainable Development Research, vol. 9, no. 2, 2025, em0288. https://doi.org/10.29333/ejosdr/16289