Determination of acid-resistant silicic particles in lung by micro-XRF and its application in diagnosis of drowning.
	    		
		   		
	    	
    	
    	
   		
        
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Sun-lin HU
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Jin-feng WEN
			        		
			        		;
		        		
		        		
		        		
			        		Wen-bin LAI
			        		
			        		;
		        		
		        		
		        		
			        		Chao FANG
			        		
			        		;
		        		
		        		
		        		
			        		Xiao-ting ZHANG
			        		
			        		;
		        		
		        		
		        		
			        		Song-cai WANG
			        		
			        		;
		        		
		        		
		        		
			        		Wei-lie DAI
			        		
			        		;
		        		
		        		
		        		
			        		Chao LIU
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. Guangzhou Institute of Criminal Science and Technology, Guangzhou 510030, China. sunlin.hu@yahoo.com.cn
			        		
		        		
	        		
        		 
        	
        	
        	
        		- Publication Type:Research Support, Non-U.S. Gov't
 
        	
        	
            
            	- MeSH:
            	
	        			
	        				
	        				
				        		
					        		Animals;
				        		
			        		
				        		
					        		Drowning/diagnosis*;
				        		
			        		
				        		
					        		Female;
				        		
			        		
				        		
					        		Fluorescence;
				        		
			        		
				        		
					        		Forensic Pathology/methods*;
				        		
			        		
				        		
					        		Fresh Water/analysis*;
				        		
			        		
				        		
					        		Lung/chemistry*;
				        		
			        		
				        		
					        		Male;
				        		
			        		
				        		
					        		Rabbits;
				        		
			        		
				        		
					        		Silicon/analysis*;
				        		
			        		
				        		
					        		Spectrometry, X-Ray Emission/methods*
				        		
			        		
	        			
	        			
            	
            	
 
            
            
            	- From:
	            		
	            			Journal of Forensic Medicine
	            		
	            		 2010;26(4):257-259
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
            	- 
		        	Abstract:
			       	
			       		
				        
				        	OBJECTIVE:Using microbeam X-ray fluorescence (Micro-XRF) analyzer for determination of acid-resistant silicic particles in lung, and to explore its potential application in diagnosis of drowning.
				        	
				        
				        	METHODS:Thirty two white rabbits were divided randomly into drowning group (n=12), post-mortem immersion group (n=10) and control group (n=10). Lungs and water sample were collected for determination of area concentration of acid-resistant silicic particles using Micro-XRF method.
				        	
				        
				        	RESULTS:The area concentration of acid-resistant silicic particles for the drowning water sample was 4.4 mm2/mL. For the lungs of drowning group, the post-mortem immersion group and the control group, the determined average values were (25.30 +/- 10.95) mm2/g, (1.68 +/- 0.63) mm2/g and (1.65 +/- 0.85) mm2/g, respectively, with a statistically significant difference between the drowning group and the other two groups.
				        	
				        
				        	CONCLUSION:The area concentration of acid-resistant silicic particles in lungs may be used as an indicator of drowning. The method is highly sensitive and rapid. It provides a potential application in drowning diagnosis.