Microplastic removal in coagulation-flocculation: Optimization through chemometric and morphological insights
			
	
 
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				1
				School of Environmental Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima,30000, Thailand
				 
			 
						
				2
				Environmental Engineering and Disaster Management Program, Mahidol University, Kanchanaburi campus, Thailand
				 
			 
						
				3
				Synchrotron Research and Applications Division  
Synchrotron Light Research Institute (Public Organization), Nakhon Ratchasima, 30000, Thailand
				 
			 
										
				
				
		
		 
			
			
		
		
		
		
		
		
	
							
					    		
    			 
    			
    				    					Autor do korespondencji
    					    				    				
    					Jareeya  Yimrattanabovorn   
    					School of Environmental Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima,30000, Thailand
    				
 
    			
				 
    			 
    		 		
			
																																 
		
	 
		
 
 
J. Ecol. Eng. 2026; 27(2)
 
 
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Microplastics in freshwater threaten human health, making their removal in water treatment processes essential. Conventional coagulation methods, however, often show limited and inconsistent efficiency due to the diverse sizes, shapes, and surface properties of microplastics, underscoring the need for improved approaches. This study examined the removal performance, surface morphology, and chemical characteristics of polypropylene (MP-PP), polyethylene (MP-PE), and polystyrene (MP-PS) using poly-aluminum chloride (PAC) and anionic polyacrylamide (PAM) in a coagulation-flocculation process, with a focus on identifying optimal operating conditions. Among the tested microplastics, MP-PS exhibited the highest removal efficiency, followed by MP-PE and MP-PP, while larger particle size and mass were found to further enhance removal performance. Differences in removal efficiency were consistent with zeta potential values and supported by morphological evidence from Scanning Electron Microscopy (SEM). Fourier Transform Infrared (FTIR) spectra, combined with Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), further highlighted the influence of surface properties and aggregation behaviors on removal outcomes. Overall, the results demonstrate that optimizing parameters such as pH, coagulant dosage, polymer concentration, and consideration of microplastic characteristics can significantly enhance removal efficiency, providing practical guidance for advancing sustainable water treatment.