Table B1.
The Sensitivity Analysis Results Within 10,000 Euros Monitoring Budgets When the Decision Limits of AFM1 and Dioxins Decreased to 0.04 μg/kg in Milk and 1.6 pg of TEQ/g in Milk Fat
| Contamination | FM 1 | DF 2 | MT 3 | Total DALYs reduced/ | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Scenarios | Npuh,i 4 | Nsh,i 5 | NAh, i 6 | Npuh,i 4 | Nsh,i 5 | Nah,i 6 | Npuh,i 4 | Nsh,i 5 | Nah,i 6 | 100,000 population | |
| S1 | AFB1/M1 | 1 | 7 | 1 | 6 | 18 | 1 | 60 | 180 | 15 | 0.04 |
| Dioxins | 1 | 7 | 1 | 30 | 90 | 5 | 8 | 24 | 8 | ||
| S2 | AFB1/M1 | 1 | 7 | 1 | 3 | 9 | 1 | 25 | 75 | 7 | 0.21 |
| Dioxins | 1 | 7 | 1 | 17 | 51 | 3 | 12 | 36 | 12 | ||
| S3 | AFB1/M1 | 4 | 28 | 4 | 3 | 9 | 1 | 13 | 39 | 13 | 0.42 |
| Dioxins | 4 | 28 | 4 | 8 | 24 | 2 | 11 | 33 | 11 | ||
| S4 | AFB1/M1 | 1 | 7 | 1 | 7 | 21 | 1 | 19 | 57 | 5 | 0.17 |
| Dioxins | 1 | 7 | 1 | 54 | 162 | 9 | 11 | 33 | 11 | ||
| S5 | AFB1/M1 | 1 | 7 | 1 | 1 | 3 | 1 | 28 | 84 | 7 | 0.36 |
| Dioxins | 1 | 7 | 1 | 23 | 69 | 4 | 13 | 39 | 13 | ||
| S6 | AFB1/M1 | 1 | 7 | 1 | 9 | 27 | 1 | 59 | 177 | 15 | 0.13 |
| Dioxins | 1 | 7 | 1 | 24 | 72 | 4 | 3 | 9 | 3 | ||
| S7 | AFB1/M1 | 1 | 7 | 1 | 2 | 6 | 1 | 16 | 48 | 4 | 0.32 |
| Dioxins | 1 | 7 | 1 | 60 | 180 | 10 | 13 | 39 | 13 | ||
| S8 | AFB1/M1 | 1 | 7 | 1 | 10 | 30 | 1 | 50 | 150 | 13 | 0.08 |
| Dioxins | 1 | 7 | 1 | 24 | 72 | 4 | 6 | 18 | 6 | ||
| S9 | AFB1/M1 | 1 | 7 | 1 | 15 | 45 | 1 | 32 | 96 | 8 | 0.26 |
| Dioxins | 1 | 7 | 1 | 18 | 54 | 3 | 9 | 27 | 9 | ||
1
Optimal number of production units sampled at each control point for each chemical.
2
Optimal number of samples collected at each control point for each chemical.
3
Optimal number of analysis samples at each stage for each chemical.