Title of article :
A new risk framework for predicting chemical residue(s)—Preliminary research for PCBs and PCDD/Fs in farmed Australian Southern Bluefin Tuna (Thunnus maccoyii)
Author/Authors :
Samuel T.G. Phua، نويسنده , , K.R. (Ken) Davey، نويسنده , , Ben J. Daughtry، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
6
From page :
491
To page :
496
Abstract :
Chemical residues are ubiquitous and found in all foods. In South Australia, the export of Southern Bluefin Tuna (SBT) to premium markets in Japan is economically important. Although PCBs and PCDD/Fs are low at 1.07 pg/g TEQ fresh weight WHO-PCB/PCDD/F compared with 8.0 pg/g permitted [Anon., European Commission, Commission Regulation (EC) no. 199/2006 of February 3, 2006 amending Regulation (EC) no. 466/2001 setting maximum levels for certain contaminants in foodstuffs as regards dioxins and dioxin-like PCBs, Off. J. Eur. Union (2006) L32/34–L32/38], we are researching ways to manage lower concentrations through development of a predictive model for these residues in SBT fillets. The model lies within a new risk framework of five governing principles. These are based on those in Codex Alimentarius [Anon., Codex Alimentarius, Principles and guidelines for the conduct of microbiological risk assessment, CAC/GL 30 (1999) 1–6]. The first principle identifies the chemical residue(s) of interest. The second characterises adverse health effects on humans (if any) through the food chain. The third, quantifies this risk to humans. The fourth characterises quantitatively the certainty in data. The fifth is an experimental validation of the model with independent data. Three types of mathematical models for prediction of residues, a physiologically based pharmacokinetic (PBPK), a quantitative structure and relationship (QSAR), and a differential-rate form are briefly discussed. Our preliminary research suggests a practical model to assist management of low concentrations of residue(s) in SBT can be derived from our defined risk framework of governing principles.
Keywords :
risk assessment , PCBs , dioxins , Modelling and predicting chemical residues , PCDD/Fs , Thunnus maccoyii , Risk framework , Southern Bluefin Tuna
Journal title :
Chemical Engineering and Processing: Process Intensification
Serial Year :
2007
Journal title :
Chemical Engineering and Processing: Process Intensification
Record number :
418442
Link To Document :
بازگشت