Table 29.
Reference | Country | Number of samples | Year | Analytical method | Compounds | ||
---|---|---|---|---|---|---|---|
SCCPs | MCCPs | LCCPs | |||||
Lahaniatis et al. (2000) | Fish samples consumed in Europe, fish oil and cod liver oil from Europe and America |
Fish (n = 8): sprat, redfish, salmon, herring, mackerel, halibut, sardine and trout Fish oil (n = 4) Cod liver oil (n = 4) |
n.r. | GC‐ECNI‐MS |
μg/kg fat Fish: 88–237 Fish oil: 44–284 Cod liver oil: 57–385 |
μg/kg fat Fish: 29–99 Fish oil: 63–191 Cod liver oil: 105–248 |
– |
Parera et al. (2013) |
Spain (Ebro River delta) |
Fish (1 kg of muscle meat for each species): sardine, eel, flounder, conger, gilthead sea bream Shellfish (1 kg of muscle meat for each species): mussel, carpet shell, murex |
2012 | GC‐ion trap‐MS |
μg/kg ww Fish: 33.2–141 Conger: 141 Seabream: 60.5 Flounder: 33.2 Sardine: 104 Eel: 80.4 Shellfish: 3.1–34.6 Mussel: 12.0 Carpet shell: 3.1 Murex: 34.6 |
– | – |
Krätschmer et al. (2019) | Germany | Fish (n = 133): farmed salmon (n = 122), wild salmon (n = 11) | 2014–2017 | GC‐Orbitrap‐MS |
μg/kg ww Mean (range): 14 (0.97–170) |
μg/kg ww Mean (range): 19 (1.1–79) |
– |
Labadie et al. (2019) |
France (Rhone River basin) |
Fish (n = 22): common barbel | 2009, 2011 | GC‐ECNI‐TOF‐MS |
μg/kg ww 0.3–10.6 μg/kg fat 63–1,492 |
μg/kg ww 1.3–72.7 μg/kg fat 99–11,300 |
– |
Yuan et al. (2017) | Sweden | Food market basket study: 13 food categories, up to 31 items per category | 2015 | Direct injection APCI‐qTOF‐MS |
μg/kg ww Cereals: < 1.1 Pastries: < 1.8 Meat: < 1.0 Fish: 4.6 Dairy (fluent): < 2.0 Dairy (solids): < 2.0 Eggs: < 1.3 Fat/oils: < 5.7 Vegetables: < 0.57 Fruit: 0.49 Potatoes: < 0.75 Sugar/sweets: < 0.90 Beverages: < 0.51 |
μg/kg ww Cereals: < 1.1 Pastries: 4.3 Meat: < 1.0 Fish: 5.1 Dairy (fluent): < 2.0 Dairy (solids): < 2.1 Eggs: < 1.4 Fats/oils: 14.5 Vegetables: < 0.58 Fruit: 0.90 Potatoes: 0.98 Sugar/sweets: 6.3 Beverages: < 0.52 |
μg/kg ww Cereals: < 0.04 Pastries: < 0.07 Meat: < 0.04 Fish: < 0.08 Dairy (fluent): < 0.08 Dairy (solids): < 0.08 Eggs: < 0.05 Fat/oils: < 0.22 Vegetables: < 0.02 Fruit: 0.14 Potatoes: 0.12 Sugar/sweets: 0.54 Beverages: < 0.02 |
Krätschmer et al. (2019a, see Documentation provided to EFSA) | Germany | Raw food samples (n = 49): meat and offal (n = 17), eggs (n = 5), milk and dairy (n = 6), fish (n = 13), fats and oils (n = 8) | 2018–2019 | GC‐ECNI‐Orbitrap‐HRMS |
Total CPs μg/kg ww Meat and offal: 1.4–12 Eggs: 14–23 Milk and dairy: 0.5–17 Fish: 1.8–360 Fats and oils: 15–800 |
||
Krätschmer et al. (2019a, see Documentation provided to EFSA) | Germany |
Full meals (n = 10): meat‐based (n = 8), vegetarian (n = 2) Total diet samples (n = 5): light diet (n = 3), full diet (n = 2) |
2018–2019 | GC‐ECNI‐Orbitrap‐HRMS |
μg/kg ww Full means: Meat‐based: 1.8–8.9 Vegetarian: 1.2–1.9 Total diet samples: Light diet: 1.0–2.1 Full diet: 4.0–4.7 |
μg/kg ww Full meals: Meat‐based: 1.0–7.8 Vegetarian: 0.6–2.0 Total diet samples: Light diet: 0.4–1.1 Full diet: 4.3–4.8 |
n.a. |
Sprengel et al. (2019) | Germany (available from the German online market) | Oil‐based supplements (n = 25): vitamin E supplements (n = 14), marine oil supplements (n = 7), other oil supplements (n = 4) | n.r. | GC‐ECNI‐MS |
μg/kg fat mean (min–max) 3,810 (< LOD–61,100) |
μg/kg fat mean (min–max) 15,200 (< LOD–151,000) |
n.a. |
Yuan et al. (2012) | China (Bohai Sea) | Molluscs (91 composite samples): bivalves (9 species), gastropods (2 species) | 2009 | GC‐ECNI‐MS |
μg/kg dw Molluscs: overall range: 64.9−5,510 Median (min, max) Bivalves: 1,150–2,910 (64.9–5,510) Gastropods: 506–640 (135–1,660) |
n.a. | n.a. |
Iino et al. (2005) | Japan | Market basket study (11 food categories: grain crops, seeds/potatoes, sugar, fats, vegetables, fruit, fish, shellfish, meat, eggs, milk) | 2003 | GC‐ECNI‐HRMS |
μg/kg ww Mean (SD) Grain crops: 2.5 (3.1) Seeds/potatoes: 1.4 (2.0) Sugar/sweets/snacks/seasoning/beverages: 2.4 (3.0) Fats: 140 (150) Legumes/vegetables: 1.7 (2.3) Fruit: 1.5 (1.9) Fish: 16 (17) [or 170 μg/kg fat] Shellfish: 18 (19) [or 2,500 μg/kg fat] Meat: 7.0 (6.6) Eggs: 2.0 (2.7) Milk: 0.75 (1.6) |
n.a. | n.a. |
Harada et al. (2011) |
China Korea Japan |
24 h food composite samples (a total of 200 24 h duplicate samples) | 1990s, 2007–2009 | GC‐ECNI‐HRMS |
μg/kga Samples China: < LOD–28.0 Year 1990s: < 0.20–0.60 Year 2009: 8.5–28.0 Samples Japan: < LOD–1.10 Year 1990s: < 50–760 Year 2009: < 50–1.100 Samples Seoul: < 0.050–0.056 Year 2009: 1 sample with trace levels Year 1990s: all < LOD |
n.a. | n.a. |
Huang et al. (2018) | China | Meat and meat products (n = 20): pork, mutton, beef, chicken, duck, rabbit, pork liver, swine blood | 2011 | GC×GC‐ECNI‐TOF‐MS |
μg/kg ww Mean (SD): 129 (4.1) |
μg/kg ww Mean (SD): 5.7 (0.59) |
– |
Wang et al. (2019b) | China |
Cereals (n = 19 pooled samples, consisting of 1,710 individual samples) Legumes (n = 19 pooled samples, consisting of 1,710 individual samples) |
2011 | GC×GC‐TOF‐MS |
μg/kg ww Cereals: 343 Legumes: 328 |
μg/kg ww Cereals: 213 Legumes: 184 |
– |
Zeng et al. (2016) |
China (collection site close to an e‐waste recycling area or far) |
Home‐produced eggs Chicken eggs (n = 17) Goose eggs (n = 23) |
2013 | GC‐ECNI‐MS |
μg/kg fat mean, range Chicken eggs: Close to e‐waste site: 3,400 (2,300–5,500) Far from e‐waste site: 4,000 (2,600–6,800) Goose eggs Close to e‐waste site: 60,000 (< LOD–150,000) Far from e‐waste site: 4,600 (< LOD–11,000) |
– | – |
Zeng et al. (2018) | China (collection area used to be an e‐waste site) | Home‐produced eggs (n = 68): year 2013 (n = 38), year 2016 (n = 30) | 2013, 2016 | GC‐ECNI‐MS |
μg/kg fat Median: 2013: 926 2016: 1,490 Overall range: 477–111,000 |
μg/kg fat Median: 2013: 1,030 2016: 999 Overall range: 125–91,100 |
– |
Cao et al. (2015) | China |
Cooking oil (n = 49) Fried confectionary products (n = 20) Raw seeds (n = 13) |
2010, 2012 | GC‐ECNI‐HRMS |
μg/kga Cooking oil: (detected in 48 samples): < 9–7,500 Fried confectionary products: (detected in all samples): 11–1,000 Raw seeds: (detected in 11 samples): < 2–68 |
– | – |
Sun et al. (2017) | China (collection site e‐waste contaminated area) |
Fish and invertebrates Oriental river prawn (n = 50), Chinese mitten crab (n = 16), crucian carp (n = 16), mud carp (n = 5–60), catfish (n = 2), snakehead (n = 5) |
2014 | GC‐ECNI‐MS |
μg/kg fat 1,700–95,000 Highest mean: Chinese mitten crab: 44,000 Lowest mean: Large mud carp: 2,100 |
– | – |
Gao et al. (2018) | China |
Duplicate Diet study Part I: fast food outlets (n = 15) Part II: collected by 6 participants who provided duplicate portions of what they consumed for their three meals per day (n = 18) Milk powder (n = 6) |
2016 | GC‐TOF‐HRMS |
μg/kg dw Mean (range) Duplicate diet samples: 113 (24.4–546) Milk power samples: 18.3 (16.2–20.5) |
μg/kg dw Mean (range) Duplicate diet samples: 55 (17.3–384) Milk power samples: 8.87 (17.0–384) |
– |
Chen et al. (2018) | China (collected from an e‐waste recycling industrial park and its surrounding villages) | Locally produced staple foods (n = 92): 9 food categories: fish, shellfish, shrimp, meat, poultry, egg, vegetable, cereal, culinary oil | 2016–2017 | GC‐ECNI‐MS |
μg/kg fat Fish: 94.3–487 Shellfish: 37.1–66.9 Shrimp: 76.5–118 Meat (pork): 37.2–58.6 Poultry: 25.3–88.3 Eggs: 1.62–6.84 Vegetables: 132–605b Cereals: 37.2–88.6 Culinary oil: 0.892–1.32 |
μg/kg fat Fish: 116–563 Shellfish: 35.5–59.9 Shrimp: 76.5–118 Meat (pork): 48.3–69.3 Poultry: 31.9–111 Eggs: 207–10.6 Vegetables: 245–747b Cereals: 55.4–108 Culinary oil: 1.22–1.76 |
– |
Gao et al. (2019) | China | Food samples (n = 122): meat (n = 22), offals (n = 10), fish (n = 10), vegetables (n = 27), fruit (n = 15), seafood (n = 21), oil (n = 6), flour (n = 5), rice (n = 6) | 2014–2016 | GC‐ECNI‐LRMS |
μg/kg ww Overall range: 0.67–5,100 Mean Meat: 117 Seafood: 60.5 Fish: 46 Offals: 27.8 Fruit: 16.4 Vegetables: 11.7 Oils: 15.7–5,100 |
– | – |
n.a.: not analysed; n.r.: not reported; GC: gas chromatography; ECNI: electron capture negative ionisation; MS: mass spectrometry; HRMS: high‐resolution MS; TOF‐MS: time‐of‐flight MS.
Not clear whether the results were expressed on a wet, fat or dry basis.
The CONTAM Panel noted that it is uncommon to express levels in vegetables on fat weight basis.