| Literature DB >> 32012820 |
Sofia Agriopoulou1, Eygenia Stamatelopoulou1, Theodoros Varzakas1.
Abstract
Mycotoxins are toxic substances that can infect many foods with carcinogenic, genotoxic, teratogenic, nephrotoxic, and hepatotoxic effects. Mycotoxin contamination of foodstuffs causes diseases worldwide. The major classes of mycotoxins that are of the greatest agroeconomic importance are aflatoxins, ochratoxins, fumonisins, trichothecenes, emerging Fusarium mycotoxins, enniatins, ergot alkaloids, Alternaria toxins, and patulin. Thus, in order to mitigate mycotoxin contamination of foods, many control approaches are used. Prevention, detoxification, and decontamination of mycotoxins can contribute in this purpose in the pre-harvest and post-harvest stages. Therefore, the purpose of the review is to elaborate on the recent advances regarding the occurrence of main mycotoxins in many types of important agricultural products, as well as the methods of inactivation and detoxification of foods from mycotoxins in order to reduce or fully eliminate them.Entities:
Keywords: aflatoxins; decontamination; detoxification; food safety; foodstuffs; fumonisins; mycotoxins; occurrence; ochratoxins; risk
Year: 2020 PMID: 32012820 PMCID: PMC7074356 DOI: 10.3390/foods9020137
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Most important mycotoxins and the United States (US) and European Union (EU) limits on food and animal feed levels. FDA—Food and Drug Administration; IARC—International Agency of Research on Cancer.
| Mycotoxin | IARC Number * | Acronym | Fungal Species | Food Commodity | US FDA (µg/kg) | EU (µg/kg) | References |
|---|---|---|---|---|---|---|---|
| Aflatoxins B1, B2, G1, G2 | 1* | AFB1 |
| Maize, wheat, rice, peanut, sorghum, pistachio, almond, | 20 for total | 2–12 for B1 | [ |
| Aflatoxin M1 | 2B* | AFM1 | Metabolite of aflatoxin B1 | Milk, milk products, meat | 0.5 | 0.05 in milk | [ |
| Ochratoxin A | 2B* | OTA |
| Cereals, dried vine fruit, wine, grapes, coffee, cocoa, cheese | Not set | 2–10 | [ |
| Fumonisins B1, B2, B3 | 2B* | FB1 |
| Maize, maize products, sorghum, asparagus | 2000–4000 | 200–4000 | [ |
| Zearalenone | 3* | ZEN |
| Cereals, cereal products, maize, wheat, barley | Not set | 20–100 | [ |
| Trichothecenes (type B: deoxynivalenol) | 3* | DON |
| Cereals, cereal products | 1000 | 200–50 | [ |
| Patulin | 3* | PAT |
| Apples, apple juice, | 50 | 10–50 | [ |
| Trichothecenes (type A: HT-2) | 3* | HT2 |
| Maize, wheat, barley, oat, rye | 15 | 25–1000 | [ |
| Trichothecenes (type A: T-2 toxin) | 3* | T-2 |
| Maize, wheat, barley, oat, rye | 15 | 25–1000 | [ |
| Enniatins | ENNs |
| Corn | Not set | Not set | [ | |
| Ergot alkaloids | EAs |
| Rye, rye-containing commodities, wheat, triticale, barley, millet and oat | Not set | Not set | [ | |
| Alternariol | AOH |
| Grain and grain-based products, vegetables and vegetable products, | Not set | Not set | [ |
IARC number definitions: 1, the mycotoxin is carcinogenic to humans; 2B, the mycotoxin is possibly carcinogenic to humans; 3, the mycotoxin is not classifiable as to its carcinogenicity to humans.
Mycotoxin notification in the EU during the decade 2009–2018 (Rapid Alert System for Food and Feed (RASFF), Annual Report, 2009–2018) [23,24,25,26,27,28,29,30,31,32].
| Mycotoxins | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|
| Aflatoxins | 638 | 649 | 585 | 484 | 341 | 314 | 438 | 348 | 529 | 536 |
| Deoxynivalenol (DON) | 3 | 2 | 11 | 4 | 8 | 6 | 11 | |||
| Fumonisins | 1 | 3 | 4 | 4 | 7 | 3 | 5 | |||
| Ochratoxin A | 27 | 34 | 35 | 32 | 54 | 38 | 42 | 141 | 33 | |
| Patulin | 2 | |||||||||
| Zearalenone | 4 | 3 | 2 | |||||||
| Total | 669 | 688 | 635 | 525 | 410 | 364 | 500 | 489 | 529 | 569 |
Notifications by hazard category in the EU in 2018 (RASFF, Annual Report, 2018) [32]. GMO—genetically modified organism.
| Hazard Category | Alert | Border Rejection | Information for Attention | Information for Follow-Up |
|---|---|---|---|---|
| Allergens | 158 | 11 | 35 | 3 |
| Biological contaminants (other) | 22 | 4 | 20 | |
| Food additives and flavorings | 19 | 64 | 24 | 35 |
| Foreign bodies | 106 | 10 | 19 | 33 |
| GMO food or feed | 9 | 1 | 3 | |
| Novel food | 8 | 6 | 15 | 22 |
| Metals | 56 | 13 | 55 | 9 |
| Industrial contaminants | 1 | |||
| Mycotoxins | 88 | 508 | 55 | 4 |
| Parasitic infestation | 1 | 17 | 23 | |
| Pathogenic microorganisms | 349 | 302 | 191 | 137 |
| Pesticides residues | 48 | 154 | 60 | 14 |
| Residues of veterinary medicinal products | 10 | 15 | 15 | 8 |
Figure 1Chemical structures of the main mycotoxins.
Representative studies on the occurrence of aflatoxin (AF) distribution (μg/kg) in food samples around the world during 2014–2019.
| Country | Food Matrix | AFs | Incidence % | Mean μg/kg | Range μg/kg | Detection Technique | Reference | |
|---|---|---|---|---|---|---|---|---|
| China | Raw milk | AFM1 | 530 | 52.8 | 0.07 | 0.01–0.2 | LC-MS/MS | [ |
| Nigeria | Breast milk | AFM1 | 40 | 77 | 0.066 | 0.001–0.601 | HPLC | [ |
| Burkina Faso | Infant formula | AFB1 | 199 | 84 | 3.8 | 0–87.4 | HPLC | [ |
| China | Wheat | AFB1 | 348 | 0.28 | 7.3 | <0.10–7.3 | LC-MS/MS | [ |
| AFB2 | 348 | 0.28 | 1.2 | <0.10–1.2 | ||||
| AFG1 | 348 | 0 | − | − | ||||
| AFG2 | 348 | 0 | − | − | ||||
| China | Rice | AFB1 | 370 | 63.50 | 0.6 | 0.03–20.0 | HPLC | [ |
| AFB2 | 370 | 17.57 | 0.2 | <0.1–3.2 | ||||
| China | Maize | AFB1 | 44 | 2.3 | 148.4 | − | HPLC | [ |
| Turkey | Walnut | AFs | 48 | 44 | 1.33 | 0.58–15.2 | HPLC | [ |
| Turkey | Seedless black raisins | AFs | 25 | 64 | 0.4 | 0.02–2.07 | HPLC | [ |
| Dried figs | 45 | 51 | 1.78 | 0.16–5.20 | ||||
| Ground red peppers | 25 | 72 | 2.30 | 0.04–3.47 | ||||
| Walnuts without shell | 25 | 64 | 1.68 | 0.66–2.62 | ||||
| Nigeria | Ginger | AFs | 120 | 81 | 3.13 | 0.11–9.52 | HPLC | [ |
| Egypt | Dried date palm | AFB1 | 28 | 4 | − | 14.4 | LC-MS/MS | [ |
| AFB2 | 2.44 | |||||||
| Tanzania | Sun-dried sweet potato chips | AFs | 80 | 36 | 40.31 | 10.49–75.12 | HPLC | [ |
| Ghana | Cereal-based products | AFs | 50 | 72 | − | 0.18–25.93 | HPLC | [ |
| Czech Republic | Barley and malt samples | AFs | 52 | Nd a | − | − | LC-MS/MS | [ |
a Nd—not detected.
Representative studies on the occurrence of ochratoxin A (OTA) distribution (μg/kg or μg/L) in food samples around the world during 2014–2019.
| Country | Food Matrix | Incidence % | Mean μg/kg | Range μg/kg | Detection Technique | Reference | |
|---|---|---|---|---|---|---|---|
| China | Dried vine fruits | 56 | 58.9 | 0.99 | <0.07–12.83 | HPLC | [ |
| China | Dried fruits | 220 | 5 | 1.9 | 0.2–8.8 | LC-MS/MS | [ |
| China | Rice | 370 | 4.87 | 0.9 | 0.30–3.2 | HPLC | [ |
| Burkina Faso | Infant formula | 199 | 7.5 | 0.1 | 0–3.2 | HPLC | [ |
| Syria | Fruit-based products | 12 | 33 | 0.093 | 0.019–0.156 | HPLC | [ |
| Cereal-based baby food | 30 | 43 | 0.094 | 0.02–0.329 | |||
| Brazil | Breast milk | 86 | 0 | − | − | LC-MS/MS | [ |
| Turkey | Eggplant | 50 | 100 | 17.67 | 8.88–21.35 | HPLC | [ |
| Green bell pepper | 20.53 | 15.38–24.70 | |||||
| Egypt | Dried date palm | 28 | 11 | 58.7 | 1.48–6070 | LC-MS/MS | [ |
| Lebanon | Spices | 94 | 30 | 7.1 | 2–33.9 | LC-MS/MS | [ |
| Czech Republic | Barley and malt samples | 52 | Nd a | − | − | LC-MS/MS | [ |
| Syria | Durum wheat | 40 | 30 | 0.6 | 0.4–0.7 | LC-MS/MS | [ |
| China | Peanut | 28 | 7.1 | NA b | 0.25–0.65 | HPLC | [ |
| Qatar | Baby food, cereal based | 51 | 31 | NA b | 0.05–≥0.50 | LC-MS/MS | [ |
| Kingdom of Saudi Arabia | Cardamom | 80 | 48 | NA b | 30–78 | HPLC | [ |
| Portugal | Roasted coffee | 6 | 33 | 1.84 μg/Kg | LOD–10.31 | HPLC | [ |
| Ground roasted coffee | 5 | 20 | 1.45 μg/Kg | LOD–7.26 | |||
| Denmark, Kenya, Tanzania, Uganda | Roasted coffee | 57 | 46 | NA b | 2.3 | UHPLC-MS/MS | [ |
a Nd—not detected. b NA—not available in the publication.
Representative studies on the occurrence of fumonisin (FU) distribution (μg/kg) in food samples around the world during 2014–2019.
| Country | Food Matrix | Fumonisins | Incidence % | Mean μg/kg | Range μg/kg | Detection Technique | Reference | |
|---|---|---|---|---|---|---|---|---|
| China | Maize | FB1 | 44 | 100 | 116.5 | 16.5–315.9 | HPLC | [ |
| Burkina Faso | Infant formula | FB1 + FB2 | 199 | 1.5 | 30.3 | 0–672.9 | HPLC | [ |
| United States | Infant cereal-based products | FB1 | 64 | 2 | NA | <LOD–6.2 | LC-MS/MS | [ |
| FB2 | 8 | <LOD–15.8 | ||||||
| Egypt | Dates palm | FB2 | 28 | 7 | 10.6 | 4.99–16.2 | LC-MS/MS | [ |
| Serbia | Crop maize | FUs | 90 | 100 | 1730 | 520.0–5800.0 | ELISA | [ |
| China | Corn flakes | FB1 | 14 | 100 | 104.1 | 1.0–171.0 | UPLC-MS-MS | [ |
| FB2 | 14 | 93 | 14.2 | <0.27–25.6 | ||||
| FB3 | 14 | 93 | 17.3 | <0.27–31.5 | ||||
| Lebanon | Spices | FB1 | 94 | 64 | 6432.3 | 18.2–113474.5 | LC-MS/MS | [ |
| FB2 | 35 | 230.2 | 15.1–1757.4 | |||||
| Argentina | Wheat-based products | FB1 + FB2 | 91 | 74 | 1.54 | 0.05–18.9 | HPLC-MS/MS | [ |
| China | Wheat flour | FB1 | 369 | 6.2 | NA | 0.3–34.6 | UPLC-MS/MS | [ |
| Tanzania | Sun-dried sweet potato chips | FB1 | 80 | 97.5 | 44.69 | 29.34–628.78 | HPLC | [ |
| Brazil | Wheat cultivars | FB1 | 11 | 54 | 2814.33 | 958–4906 | HPLC | [ |
| Argentina | Wheat | FB1 | 135 | 97 | 30.07 | 0.16–680.4 | HPLC-MS/MS | [ |
| Durum wheat | 40 | 77.5 | 84.75 | 0.15–1304.4 | ||||
| Wheat | FB2 | 135 | 51 | 2.88 | 0.25–23.7 | |||
| Durum wheat | 40 | 42.5 | 10.47 | 0.43–47 | ||||
| Italy | Durum wheat | FB1 | 4 | 100 | 33 | 15–51 | HPLC-MS/MS | [ |
| Syria | Durum wheat | FB1 | 40 | 10 | 5 | 5–6 | HPLC-MS/MS | [ |
a NA—not available in the publication.
Representative studies on the occurrence of trichothecene (TC) distribution (μg/kg) in food samples around the world during 2014–2019.
| Country | Food Matrix | TCs | Incidence % | Mean μg/kg | Range μg/kg | Detection Technique | Reference | |
|---|---|---|---|---|---|---|---|---|
| China | Wheat | DON | 38 | 100 | 106.5 | 0.5–604.0 | LC-MS/MS | [ |
| China | Maize | DON | 44 | 65.9 | 831.0 | 5.8–9843.3 | HPLC | [ |
| Romania | Wheat | DON | 31 | 26 | 748 | 110–1787 | LC-MS/MS | [ |
| Flour | 35 | 3 | 190 | 190 | ||||
| Pakistan | Rice | DON | 180 | 8 | 6.99 | <LOD | LC-MS/MS | [ |
| Brazil | Wheat | DON | 48 | 100 | 2398 | 1329–3937 | HPLC | [ |
| Italy | Wheat | DON | 293 | 97 | NA a | 56–27088 | GC-MS | [ |
| Brazil | Wheat | DON | 53 | 47 | 641 | 243–2281 | HPLC | [ |
| China | Wheat | DON | 348 | 91 | 240 | 240–1129 | LC-MS/MS | [ |
| Iran | Wheat | DON | 96 | 83 | 630 | 23–1270 | [ | |
| Finland | Wheat | DON | 30 | NA a | 866 | NA–5510 | LC-MS/MS | [ |
| Brazil | Wheat | DON | 58 | 91 | 360 | NA–1310 | HPLC | [ |
| Brazil | Wheat | DON | 745 | 86 | 1690 | NA–8501 | HPLC | [ |
| 407 | NA–2419 | |||||||
| Brazil | Wheat | DON | 150 | 99 | 706 | 183–2150 | HPLC | [ |
| Hungary | Wheat | DON | 29 | 72 | NA a | NA–1880 | ELISA | [ |
| Argentina | Wheat | DON | 84 | 100 | 1750 | NA–9480 | LC-MS/MS | [ |
| Switzerland | Wheat | DON | 686 | 80 | 607 | NA–10600 | LC-MS/MS | [ |
| Brazil | Wheat | DON | 172 | 77 | 234 | 73–2794 | HPLC | [ |
| Poland | Wheat | DON | 92 | 83 | 140 | 10–1265 | HPLC | [ |
| China | Wheat | DON | 181 | 82 | 500 | 33–3030 | HPLC | [ |
| Hungary | Maize | DON | 29 | 86 | 1872 | 225–2963 | ELISA | [ |
| T-2 | 29 | 55 | 69 | NA–146 | ||||
| Serbia | Corn flour | DON | 56 | 42.9 | 101 | NA–931 | HPLC | [ |
| Cornflakes | 15 | 40 | 255 | NA–878 | ||||
| Brazil | Barley | DON | 76 | 94 | 310–15,500 | 1700–7500 | LC-MS/MS | [ |
| Brazil | Bakery Products | DON | 36 | 100 | 591 | 60–1720 | HPLC | [ |
| India | Infant Foods | DON | 29 | 66 | NA a | 5–228 | ELISA | [ |
| Germany | Noodles and Pasta | DON | 40 | 97 | 387 | 60–1609 | HPLC | [ |
| Finland | Oat | DON | 31 | 100 | NA a | 23,800 | LC-MS/MS | [ |
| UK | Oat | DON | 303 | 32 | 28 | NA–1866 | LC-MS/MS | [ |
| Finland | Oat | DON | 1672 | 79 | NA a | NA–21608 | GC-MS | [ |
| Poland | Oat | DON | 147 | 31 | NA a | NA–2975 | HPLC-HRMS | [ |
| Tunisia | Cereal-based products | HT-2 | 32 | 3 | 1 | <LOD–209 | LC-MS/MS | [ |
| Lebanon | Wheat grains, wheat flour, and bread | HT-2 | 137 | 0 | − | − | LC-MS/MS | [ |
| T-2 | ||||||||
| Spain | Cereal-based food, beer | HT-2 | 479 | NA a | 0.047–0.214 | NA a | GC-ECD | [ |
| T-2 | 479 | 0.006 | 0.215–0.072 | NA a | ||||
| Spain | Wheat semolina | HT-2 | 15 | 33.3 | 8.9 | 6.7–15.2 | GC–QqQ-MS/MS | [ |
a NA—not available in the publication.
Representative studies on the occurrence of ZEN distribution (μg/kg) in food samples around the world during 2014–2019.
| Country | Food Matrix | N Samples | Incidence% | a Mean μg/Kg | a Range μg/Kg | Detection Technique | Reference |
|---|---|---|---|---|---|---|---|
| China | Wheat | 348 | 13.2 | 8.4 | <0.25-98.8 | LC-MS/MS | [ |
| China | Maize | 50 | 94 | 109.1 | 0.2-3613.0 | LC-MS/MS | [ |
| China | Maize | 44 | 13.6 | 50.8 | 40.7-1056.8 | HPLC | [ |
| Hungary | Maize | 29 | 41 | 267 | NAa-565 | ELISA | [ |
| South Korea | Infant formula | 36 | 25 | NAa | 3.3-17.6 | UHPLC | [ |
| Serbia | Crop maize | 90 | 0 | - | - | ELISA | [ |
| Pakistan | Rice | 180 | 15 | 8.48 | NAa | LC–MS/MS | [ |
| Lebanon | Spices | 94 | 30 | 30.6 | 0.4-305.4 | LC-MS/MS | [ |
| Brazil | Wheat flour | 39 | 2.6 | - | 26.7 | UPLC–MS/MS | [ |
| China | Peanut | 28 | 36 | NAa | 0.09–26.8 | HPLC | [ |
| China | Grapes | 36 | 6 | NAa | 0.29-0.36 | UHPLC–MS/MS | [ |
| Wine | 42 | 7 | NAa | <LOQ to 1.85 | |||
| Syria | Wheat | 40 | 25 | 13 | 4-34 | LC–MS/MS | [ |
| Italy | Wheat | 47 | 34 | 44 | 7-230 | HPLC–MS/MS | [ |
| Qatar | Baby food, milk based | 51 | 37 | NA | 1 - ≥5 | HPLC | [ |
a NA: Not available in the Publication.
Representative studies on the occurrence of emerging Fusarium mycotoxins distribution (μg/Kg) in food samples around the world during 2014–2019.
| Country | Food Matrix | Emerging | N Samples | a Incidence % | Mean μg/Kg | b Range μg/Kg | Detection Technique | Reference |
|---|---|---|---|---|---|---|---|---|
| Serbia | Maize | FP | 21 | 76 | - | 85.4–1121 | LC-MS/MS | [ |
| Japan | Corn | BEA | 44 | 34 | 3.8 | NAb-26.1 | LC-MS/MS | [ |
| Wheat flour | 66 | Nda | - | - | ||||
| Wheat flour | ENB | 66 | 81.8 | 33.4 | NAb-237 | |||
| Italy | Wheat | BEA | 43 | 14 | 0.0004 | 0.0018-0.0051 | HPLC–MS/MS | [ |
| Syria | Wheat | BEA | 40 | 13 | 0.0002 | 0.0015-0.0017 | HPLC–MS/MS | [ |
| Italy | Wheat | BEA | 54 | 67 | - | 0.04-5.28 | LC-MS/MS | [ |
| Italy | Durum wheat | BEA | 108 | 94 | - | 0.03-56.40 | LC-MS/MS | [ |
| Morocco | Wheat | BEA | 80 | 10 | 0.9 | NAb-16 | LC-MS/MS | [ |
| ENA | 14 | 6.8 | NAb-75 | |||||
| ENA1 | 18 | 13 | NAb-134 | |||||
| ENB | 61 | 57 | NAb-2570 | |||||
| ENB1 | 53 | 27 | NAb-345 | |||||
| Serbia | Maize | ENNs | 29 | 10 | - | 0.12–0.47 | LC-MS/MS | [ |
| Italy | Wheat | ENA | 43 | 14 | 0.0012 | 0.0031-0.0181 | HPLC–MS/MS | [ |
| Syria | Wheat | ENA | 40 | 10 | 0.0002 | 0.0015-0.0022 | HPLC–MS/MS | [ |
a Nd: Not detected. bNA - Not available in the Publication.
Representative studies on the occurrence of Ergot alkaloids distribution (μg/Kg) in food samples around the world during 2014–2019.
| Country | Food Matrix | N Samples | a,b Incidence% | b Mean μg/Kg | Range μg/Kg | Detection Technique | Reference |
|---|---|---|---|---|---|---|---|
| Albania | Wheat | 35 | 48.6 | 337.2 | 17.3–975.4 | LC-MS/ MS | [ |
| Canada | Barley | 67 | 73 | 1150.50 | 2.21-29424.6 | LC-MS/ MS | [ |
| Italy | Rye-based products | 16 | 85 | NAb | 2.6–188.6 | LC-MS/MS | [ |
| Wheat-based products | 55 | 2.5– 1142.6 | |||||
| China | Cereal samples | 123 | Nd a | - | - | LC-MS/MS | [ |
| Canada | Cereals | 228 | NA b | NAb | 65-1140 | LC-MS/MS | [ |
a Nd: Not detected. b NA: Not available in the Publication.
Representative studies on the occurrence of Alternaria toxins distribution (μg/kg or μg/L) in food samples around the world during 2014–2019.
| Country | Food Matrix | Alternaria Toxins | N Samples | aIncidence % | bMean μg/Kg | Range μg/Kg | Detection Technique | Reference |
|---|---|---|---|---|---|---|---|---|
| China | Dried fruits | AOH | 220 | 2.3 | 12.0 | 3.5–27.4 | LC-MS/ MS | [ |
| TeA | 42.7 | 465.5 | 6.9–5665.3 | |||||
| AME | 8.2 | 3.0 | 0.2–15.0 | |||||
| TEN | 20.5 | 120.5 | 1.4–1032.6 | |||||
| China | Wheat | TeA | 370 | 100 | 289.0 | 6.0–3330.7 | LC-MS/ MS | [ |
| AOH | 370 | 47 | 12.9 | 1.3–74.4 | ||||
| AME | 370 | 15 | 9.1 | 0.3–54.8 | ||||
| Argentina | Flour | TeA | 23 | 61 | 7360 | LOQ-17,719 | HPLC-DAD | [ |
| Wheat | 21 | 57.1 | 19,190 | LOQ-92,000 | ||||
| Bran | 21 | 66.7 | 16,760 | LOQ-82,600 | ||||
| Italy | Dried tomatoes | TeA | 10 | 100 | 16,291 | 425–81,592 | LC-MS/MS | [ |
| Fresh tomatoes | 8 | 100 | 1,010 | 11–4560 | ||||
| Germany | Juice samples | TeA | 88 | 62 | NAb | 1.4–19.2 | LC-MS/MS | [ |
| Red wine | AME | 11 | Nda | - | - | |||
| China | Wheat flour | TeA | 181 | 99.4 | 88.4 | 1.76–520 | UPLC-MS/MS | [ |
| Dried noodle | 52 | 96.2 | 47.6 | 4.86–158 | ||||
| Bread | 50 | 98 | 11.7 | 1.95–38.2 | ||||
| Steamed bread | 40 | 100 | 21.2 | 6.56–46.3 |
a Nd: Not detected. b NA: Not available in the Publication.
Representative studies on the occurrence of PAT distribution (μg/kg or μg/L) in food samples around the world during 2014–2019.
| Country | Food Matrix | N Samples | aIncidence % | aMean μg/kg | Range μg/kg | Detection Technique | Reference |
|---|---|---|---|---|---|---|---|
| China | Dried fig | 20 | 65.0 | - | 15.0-276.9 | HPLC | [ |
| Raisins and other dried fruits | 36 | 8.3 | - | 12.5-68.0 | |||
| Juice | 20 | 10.0 | - | 8.0-16.8 | |||
| Jam | 20 | 30.7 | - | 8.6-11.0 | |||
| China | Dried fruits source | 220 | 0.5 | 30.6 | 30.6 | LC-MS/ MS | [ |
| China | Apple juice | 23 | 39.1 | 1.0 | 0.50-4.82 | LC-MS/ MS | [ |
| Mix fruit juice | 20 | 20 | 0.74 | 0.50-2.46 | |||
| Qatar | Fruit-based products | 13 | 100 | 20.8 | 1.02-61.3 | LC-MS/MS | [ |
| Apple juice | 20 | 100 | NAa | 5.27-82.21 | |||
| Tunisia | Fruit-based products | 214 | 50 | 89 | 2-889 | HPLC | [ |
| Pakistan | Apple | 36 | 75 | NAa | <LOD–630.8 | HPLC | [ |
| China | Apple juice (including organic and conventional apple juice and juice concentrate) | 4 | NAa | NAa | <LOD–16.8 | HPLC | [ |
| Serbia | Apple juice (including organic and conventional apple juice and juice concentrate) | 73 | 74 | NAa | <LOD–65.4 | HPLC | [ |
| Argentina | Apple juice (including organic and conventional apple juice and juice concentrate) | 4634 | 40 | 26 | <LOD–19,622 | HPLC | [ |
| Malaysia | Apple juice (including organic and conventional apple juice and juice concentrate) | 13 | 8 | NAa | <LOD–26.9 | HPLC | [ |
| Italy | Products for babies (including apple juice, apple sauce, and compotes) | 26 | 0 | - | - | HPLC | [ |
a NA: Not available in the Publication.