scholarly journals The 2005 World Health Organization Reevaluation of Human and Mammalian Toxic Equivalency Factors for Dioxins and Dioxin-Like Compounds

2006 ◽  
Vol 93 (2) ◽  
pp. 223-241 ◽  
Author(s):  
Martin Van den Berg ◽  
Linda S. Birnbaum ◽  
Michael Denison ◽  
Mike De Vito ◽  
William Farland ◽  
...  
Keyword(s):  
World Health Organization ◽  
World Health ◽  
Equivalency Factors ◽  
Toxic Equivalency Factors ◽  
Health Organization

scholarly journals Development of a laboratory analytical method beneficial to the policies of the Canada-wide standards for dioxins and furans

2021 ◽  
Author(s):  
Eric Paul Buan
Keyword(s):  
Correction Factor ◽  
Operating Cost ◽  
Cost Savings ◽  
World Health ◽  
Enzyme Linked Immunosorbent Assay ◽  
Equivalency Factors ◽  
Soils And Sediments ◽  
Toxic Equivalency Factors ◽  
Toxic Equivalents ◽  
Health Organization

An enzyme-linked immunosorbent assay (ELISA) was tested for its ability to screen for PCDD/F in soils and sediments at 50, 1000 and 10,000 picograms toxic equivalents per gram of soil pgTEQ g-₁ (n=48, r²=0.994, slope=0.94). These results relied on two concepts developed in this thesis. The first, a congener correction factor, corrects ELISA results for differences in how ELISA and GC-HRMS calculate the dioxin content of a sample. The congener correction factor increased the correlation between ELISA and GC-HRMS TEQ values calculated using World Health Organization (WHO) toxic equivalency factors (TEF) from 83% to 94%. The correlation between ELISA and GC-HRMS TEQ values calculated using North Atlantic Treaty Organization (NATO) TEF remained strong when the correction factor was applied, falling from 102% to 94%. The second concept, a sample algorithm allows ELIAS to efficiently measure unknown PCDD/F concentrations between 30 and 10,5000 pgTEQ g-¹. The algorithm successfully placed 24 of 28 samples into their correct concentration ranges in a maximum of two ELISA each. A cost analysis of using the algorithm predicted that ELISA can screen samples three times faster than GC-HRMS while at a 60% reduction in operating cost. The success of ELISA in conjunction with its time and cost savings indicate that it can replace GC-HRMS in situations where the high precision of GC-HRMS is not required.

scholarly journals Development of a laboratory analytical method beneficial to the policies of the Canada-wide standards for dioxins and furans

2021 ◽  
Author(s):  
Eric Paul Buan
Keyword(s):  
Correction Factor ◽  
Operating Cost ◽  
Cost Savings ◽  
World Health ◽  
Enzyme Linked Immunosorbent Assay ◽  
Equivalency Factors ◽  
Soils And Sediments ◽  
Toxic Equivalency Factors ◽  
Toxic Equivalents ◽  
Health Organization

An enzyme-linked immunosorbent assay (ELISA) was tested for its ability to screen for PCDD/F in soils and sediments at 50, 1000 and 10,000 picograms toxic equivalents per gram of soil pgTEQ g-₁ (n=48, r²=0.994, slope=0.94). These results relied on two concepts developed in this thesis. The first, a congener correction factor, corrects ELISA results for differences in how ELISA and GC-HRMS calculate the dioxin content of a sample. The congener correction factor increased the correlation between ELISA and GC-HRMS TEQ values calculated using World Health Organization (WHO) toxic equivalency factors (TEF) from 83% to 94%. The correlation between ELISA and GC-HRMS TEQ values calculated using North Atlantic Treaty Organization (NATO) TEF remained strong when the correction factor was applied, falling from 102% to 94%. The second concept, a sample algorithm allows ELIAS to efficiently measure unknown PCDD/F concentrations between 30 and 10,5000 pgTEQ g-¹. The algorithm successfully placed 24 of 28 samples into their correct concentration ranges in a maximum of two ELISA each. A cost analysis of using the algorithm predicted that ELISA can screen samples three times faster than GC-HRMS while at a 60% reduction in operating cost. The success of ELISA in conjunction with its time and cost savings indicate that it can replace GC-HRMS in situations where the high precision of GC-HRMS is not required.

World Health Organization Self-Reporting Questionnaire 20--Tigrigna Version

2018 ◽  
Author(s):  
Tesfit Brhane Netsereab ◽  
Meron Mehari Kifle ◽  
Robel Berhane Tesfagiorgis ◽  
Sara Ghebremichael Habteab ◽  
Yosan Kahsay Weldeabzgi ◽  
...  
Keyword(s):  
World Health Organization ◽  
World Health ◽  
Health Organization ◽  
Self Reporting Questionnaire
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