Identification of a pesticide exposure based market basket suitable for cumulative dietary risk assessments and food monitoring programmes

Figures & data

Table 1. Total population chronic contribution (95^th percentile of the results, descending).

Commodity	Mean approach – % Contribution	Mean approach – % ADI	High approach – % Contribution	High approach – % ADI	Number of combinations
Cow milk	50.9	45.1	102.5	88.4	53244
Oranges	19.2	18.2	70.2	74.9	56376
Apples	19.2	19.7	57.5	67.2	56376
Sugar beet roots	16.8	16.8	42.0	44.6	56376
Wine grapes and similar	18.0	<10	67.6	26.4	56120
Wheat grain	21.8	15.2	40.0	31.1	56840
Sugar canes	12.7	12.5	29.9	33.1	56376
Tomatoes	15.1	<10	41.2	24.9	56376
Potatoes	10.0	<10	22.3	19.3	56492
Table grapes and similar	<10	<10	27.4	17.2	55144
Head lettuces	<10	<10	21.3	10.7	55290
Mandarins and similar	<10	<10	14.4	15.7	54432
Banana	<10	<10	12.2	14.0	56260
Olives for oil production	<10	<10	13.4	12.3	56260
Pears	<10	<10	12.8	12.5	56376
Strawberries	<10	<10	11.6	10.5	56376
Barley grains	<10	<10	11.9	<10	56235
Pig fresh meat	<10	<10	10.6	<10	53012
All other commodities	<10	<10	<10	<10	variable

Table 2. Total population chronic contribution (97.5^th percentile of the results, descending).

Commodity	Mean approach – % Contribution	Mean approach – % ADI	High approach – % Contribution	High approach – % ADI	Number of combinations
Cow milk	60.1	77.6	125.6	154.5	7752
Oranges	31.9	31.9	115.7	127.8	53244
Apples	28.9	35.2	86.1	119.2	56376
Wine grapes and similar	30.0	14.5	119.5	60.1	56376
Sugar beet roots	23.0	35.6	65.5	94.5	56120
Wheat grain	32.4	27.2	58.6	54.8	56376
Sugar canes	15.1	24.3	36.3	63.0	56840
Tomatoes	23.7	13.3	63.4	37.9	56376
Potatoes	15.3	15.3	33.4	36.9	56376
Head lettuces	11.0	<10	47.2	22.2	56492
Table grapes and similar	<10	<10	44.2	30.7	55290
Olives for oil production	12.3	<10	23.6	29.2	55144
Mandarins and similar	<10	<10	23.7	30.7	56260
Banana	<10	<10	22.1	26.8	54432
Pig fresh meat	<10	<10	19.0	27.3	56260
Pears	<10	<10	21.7	20.7	53012
Strawberries	<10	<10	20.6	19.5	56376
Bovine fresh meat	<10	<10	16.2	22.6	56376
Barley grains	<10	<10	22.4	10.6	53128
Peaches and similar	<10	<10	16.6	16.3	56235
Oat grain	<10	<10	16.7	14.4	55890
Durum wheat grain	<10	<10	16.0	15.0	55257
Sunflower seeds	<10	<10	15.0	14.8	56840
Spinaches	<10	<10	17.5	10.7	56376
Rice grain	<10	<10	12.1	12.3	55775
Maize grain	<10	<10	12.6	11.8	56840
Carrots	<10	<10	12.2	11.4	56724
Rye grain	<10	<10	13.1	10.0	56260
Chicken fresh meat	<10	<10	10.0	12.0	55257
Crisp lettuces	<10	<10	21.2	<10	53012
Teas leaves, dry and/or fermented, and similar	<10	<10	11.5	<10	44620
Rapeseeds	<10	<10	11.5	11.2	55031
Pineapples	<10	<10	10.5	<10	56376
Coffee beans, green	<10	<10	10.1	<10	54805
All other commodities	<10	<10	<10	<10	Variable

Table 3. Consumer only HGBV contribution (95^th and 97.5^th percentile of the results, descending).

Commodity	Mean approach – % ADI		High approach – % ARfD		Number
	P95	P97.5	P95	P97.5
Oranges	18.0	37.4	54.2	125.2	53460
Cow milk	13.1	21.7	33.8	53.4	50949
Mandarins and similar	<10	15.9	21.9	50.3	46656
Apples	<10	14.3	29.6	47.9	53946
Sugar beet roots	<10	10.3	21.0	42.2	53946
Nettle	17.3	37.7	20.3	40.6	2430
Wheat grain	<10	12.4	14.9	31.2	54390
Wine grapes and similar	<10	<10	13.4	22.8	52704
Table grapes and similar	<10	<10	13.6	20.5	51240
Grapefruits	<10	<10	<10	20.0	43254
Oat grain	<10	<10	<10	19.7	47922
Strawberries	<10	<10	10.2	19.6	53460
Bilberries	<10	<10	<10	19.6	11155
Banana	<10	<10	<10	19.2	53835
Tomatoes	<10	<10	12.0	18.9	53460
Sugar canes	<10	<10	12.0	18.4	53946
Sour cherries	<10	<10	<10	17.6	26675
Pineapples	<10	<10	<10	17.1	47045
Pears	<10	<10	10.2	16.5	51516
Barley grains	<10	<10	<10	16.3	49389
Peaches and similar	<10	<10	10.0	15.8	51030
Olives for oil production	<10	<10	<10	15.4	53835
Durum wheat grain	<10	<10	<10	15.1	54390
Lamb’s lettuces	<10	10.1	<10	14.1	13095
Head lettuces	<10	<10	<10	14.0	47045
Potatoes	<10	<10	<10	12.8	54057
Cherries (sweet)	<10	<10	<10	12.3	46075
Quinces	<10	11.9	<10	12.1	4860
Cranberries	<10	<10	<10	11.9	28674
Spinaches	<10	<10	<10	11.7	47045
Lemons	<10	<10	<10	11.6	52974
Plums	<10	<10	<10	11.6	46075
Sorrel	<10	<10	<10	11.2	3888
Goat fresh meat	<10	<10	<10	10.6	458
Melons and similar	<10	<10	<10	10.4	39285
Crisp lettuces	<10	<10	<10	10.2	32980
Beans (with pods) and similar	<10	<10	<10	10.2	50440
Watermelons and similar	<10	<10	<10	10.0	32010
All other commodities	<10	<10	<10	<10	variable

Table 4. Consolidated market basket of commodities contributing significantly to the total daily diet and dietary exposure (95^th and 97.5^th percentile of the results, alphabetic order).

	P95							P97.5
Commodity	TP Mean ≥10% cont.	TP Mean ≥10% ADI	TP High ≥10% cont.	TP High ≥10% ADI	CO Mean ≥10% ADI	CO High ≥10% ARfD	Market basket inclusion	TP Mean ≥10% cont.	TP Mean ≥10% ADI	TP High ≥10% cont.	TP High ≥10% ADI	CO Mean ≥10% ADI	CO High ≥10% ARfD	Market basket inclusion	Remarks
Apples	✓	✓	✓	✓	×	✓	✓	✓	✓	✓	✓	✓	✓	✓
Banana	×	×	✓	✓	×	×	✓	×	×	✓	✓	×	✓	✓
Barley grains	×	×	✓	×	×	×	×	×	×	✓	✓	×	✓	✓
Beans (with pods) and similar	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2
Bilberries	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2, 5
Bovine fresh meat	×	×	×	×	×	×	×	×	×	✓	✓	×	×	✓
Carrots	×	×	×	×	×	×	×	×	×	✓	✓	×	×	✓
Cherries (sweet, sour)	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2
Chicken fresh meat	×	×	×	×	×	×	×	×	×	✓	✓	×	×	✓
Coffee beans, green	×	×	×	×	×	×	×	×	×	✓	×	×	×	×	1
Cow milk	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓
Cranberries	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2, 5
Goat fresh meat	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2
Grapefruits	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2
Lamb’s lettuces	×	×	×	×	×	×	×	×	×	×	×	✓	✓	✓	4
Lemons	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2
Lettuces (head, crisp)	×	×	✓	✓	×	×	✓	✓	✓	✓	✓	×	✓	✓
Maize grain	×	×	×	×	×	×	×	×	×	✓	✓	×	×	✓
Mandarins and similar	✓	✓	✓	✓	×	✓	✓	✓	✓	✓	✓	✓	✓	✓
Melons and similar	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2
Nettle	×	×	×	×	✓	✓	✓	×	×	×	×	✓	✓	✓	5
Oat grain	×	×	×	×	×	×	×	×	×	✓	✓	×	✓	✓	4
Olives for oil production	×	×	✓	✓	×	×	✓	×	×	✓	✓	×	✓	✓
Oranges	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓
Peaches and similar	×	×	×	×	×	✓	✓	×	×	✓	✓	×	✓	✓
Pears	×	×	✓	✓	×	✓	✓	×	×	✓	✓	×	✓	✓
Pig fresh meat	×	×	✓	×	×	×	×	×	×	✓	✓	×	×	✓
Pineapples	×	×	×	×	×	×	×	×	×	×	✓	×	✓	✓
Plums	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2
Potatoes	✓	×	✓	✓	×	×	✓	✓	✓	✓	✓	×	✓	✓
Quinces	×	×	×	×	×	×	×	×	×	×	×	✓	✓	✓	4
Rapeseeds	×	×	×	×	×	×	×	×	×	✓	×	×	×	×	1
Rice grain	×	×	×	×	×	×	×	×	×	✓	✓	×	×	✓
Rye grain	×	×	×	×	×	×	×	×	×	✓	✓	×	×	✓
Sorrel	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2, 5
Spinaches	×	×	×	×	×	×	×	×	×	✓	✓	×	✓	✓
Strawberries	×	×	✓	✓	×	✓	✓	×	×	✓	✓	×	✓	✓
Sugar beet roots	✓	✓	✓	✓	×	✓	✓	✓	✓	✓	✓	✓	✓	✓	3
Sugar canes	✓	✓	✓	✓	×	✓	✓	✓	✓	✓	✓	×	✓	✓	3
Sunflower seeds	×	×	×	×	×	×	×	×	×	✓	✓	×	×	✓
Table grapes and similar	×	×	✓	✓	×	×	✓	✓	×	✓	✓	✓	✓	✓
Teas leaves, dry and/or fermented	×	×	×	×	×	×	×	×	×	✓	×	×	×	×	1
Tomatoes	✓	×	✓	✓	×	✓	✓	✓	✓	✓	✓	×	✓	✓
Watermelons and similar	×	×	×	×	×	×	×	×	×	×	×	×	✓	✓	2, 4
Wheat grain (common, durum)	✓	✓	✓	✓	×	✓	✓	✓	✓	✓	✓	✓	✓	✓
Wine grapes and similar	✓	×	✓	✓	×	✓	✓	✓	✓	✓	✓	×	✓	✓
All other commodities	×	×	×	×	×	×	×	×	×	×	×	×	×	×	2

Remark 1: no inclusion, only relevant in terms of contribution to the total daily consumption but not in terms of exposure.

Remark 2: inclusion, potentially relevant for short-term exposure.

Remark 3: primarily consumed as white sugar, which does not contain quantifiable residues. No consideration necessary.

Remark 4: extrapolation from other commodities according to EU Guidance for Extrapolation possible.

Remark 5: only relevant based on single RPC diets like infants or specific European regions.

✓: relevant.

×: not relevant.

TP: Total population.

CO: Consumers only.

Figure 1. Percent chronic exposure based on P95 market basket relative to the total market basket.

Figure 2. Percent chronic exposure based on P97.5 market basket relative to the total market basket.

Figure 3. Percent acute exposure based on P95 market basket relative to the total market basket.

Figure 4. Percent acute exposure based on P97.5 market basket relative to the total market basket.

Figure 5. Impact of peppers to the acute cumulative exposure for the CAG on motor division effects to the nervous system (LOQx0 scenario).