| Literature DB >> 35873726 |
Giulia Bellisai, Giovanni Bernasconi, Alba Brancato, Luis Carrasco Cabrera, Irene Castellan, Lucien Ferreira, German Giner, Luna Greco, Samira Jarrah, Renata Leuschner, Jose Oriol Magrans, Ileana Miron, Stefanie Nave, Ragnor Pedersen, Hermine Reich, Tobin Robinson, Silvia Ruocco, Miguel Santos, Alessia Pia Scarlato, Anne Theobald, Alessia Verani.
Abstract
According to Article 12 of Regulation (EC) No 396/2005, EFSA has reviewed the maximum residue levels (MRLs) currently established at European level for the pesticide active substance phosmet. Although this active substance is no longer authorised within the European Union, MRLs were established by the Codex Alimentarius Commission (codex maximum residue limits; CXLs). Based on the available data, EFSA assessed the CXLs and a consumer risk assessment was carried out. The CXLs were found to be supported by inadequate data and a possible chronic and acute risk to consumers was identified for several commodities. Hence, further consideration by risk managers is needed.Entities:
Keywords: MRL review; Regulation (EC) No 396/2005; consumer risk assessment; insecticide; organophosphorus; phosmet
Year: 2022 PMID: 35873726 PMCID: PMC9297124 DOI: 10.2903/j.efsa.2022.7448
Source DB: PubMed Journal: EFSA J ISSN: 1831-4732
Summary table
| Code number | Commodity | Existing EU MRL (mg/kg) | Existing CXL (mg/kg) | Outcome of the review | |
|---|---|---|---|---|---|
| MRL (mg/kg) | Comment | ||||
|
| |||||
| 110010 | Grapefruit | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110020 | Oranges | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110030 | Lemons | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110040 | Limes | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110050 | Mandarins | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120010 | Almonds | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120020 | Brazil nuts | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120030 | Cashew nuts | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120040 | Chestnuts | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120050 | Coconuts | 0.05 | 0.2 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120060 | Hazelnuts | 0.1 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120070 | Macadamia | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120080 | Pecans | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120090 | Pine nuts | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120100 | Pistachios | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120110 | Walnuts | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 130010 | Apples | 0.5 | 3 | – |
Further consideration needed |
| 130020 | Pears | 0.5 | 3 | – | Further consideration needed |
| 130030 | Quinces | 0.5 | 3 | – | Further consideration needed |
| 130040 | Medlar | 0.5 | 3 | – |
Further consideration needed |
| 130050 | Loquat | 0.5 | 3 | – | Further consideration needed |
| 140010 | Apricots | 0.05 | 10 | – | Further consideration needed |
| 140030 | Peaches | 1 | 10 | – | Further consideration needed |
| 151010 | Table grapes | 0.05 | 10 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 151020 | Wine grapes | 0.05 | 10 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 154010 | Blueberries | 10 | 10 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 154020 | Cranberries | 10 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 161040 | Kumquats | 2 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 211000 | Potatoes | 0.05 | 0.05 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 401090 | Cotton seeds | 0.05 | 0.05 | 0.05 |
Further consideration needed Data gap #1, 2, 3, 4 |
| – | Other commodities of plant and/or animal origin | See Reg. (EU) No 737/2014 | – | – | Further consideration needed |
MRL: maximum residue level; CXL: codex maximum residue limit.
Indicates that the MRL is set at the limit of quantification.
There are no relevant authorisations or import tolerances reported at EU level; CXL is not sufficiently supported by data and a risk to consumers cannot be excluded. Either a specific LOQ or the default MRL of 0.01 mg/kg may be considered (combination A‐IV in Appendix E).
MRL is derived from the existing CXL, which is not sufficiently supported by data but for which no risk to consumers is identified (assuming the existing residue definition); there are no relevant authorisations or import tolerances reported at EU level (combination A‐V in Appendix E).
There are no relevant authorisations or import tolerances reported at EU level. European reservation expressed for existing CXL due to short‐term intake concerns. Either a specific LOQ or the default MRL of 0.01 mg/kg may be considered.
There are no relevant authorisations or import tolerances reported at EU level; no CXL is available. Either a specific LOQ or the default MRL of 0.01 mg/kg may be considered (combination A‐I in Appendix E).
| Primary crops (available studies) | Crop groups | Crop(s) | Application(s) | Sampling (DAT) | Comment/Source |
|---|---|---|---|---|---|
| Fruit crops | Apple |
Foliar, 2 × 0.84 kg a.s./ha BBCH 75–76 and BBCH 78 | 0, 14, 28 DALT |
[14C]‐carbonyl labelled phosmet (Spain, | |
| Cherry | Foliar, 1 × 0.42 kg a.s./hL | 0, 7, 14 |
[14C]‐carbonyl labelled phosmet (Spain, | ||
| Root crops | Potato |
Foliar, 4 × 1.7 to 2 kg a.s./ha Applications on day 0, 40, 60 and 88 |
Immature: 40 DAT1 and 20 DAT2 Mature: 7 DAT3 and 7 DALT |
[14C]‐carbonyl labelled phosmet (Spain, | |
| Cereals/grass | Maize |
Foliar, 2 × 1.12 kg a.s./ha At silk stage and 14 days before final harvest |
Forage: 28 DAT1 Fodder, grain, cob: 76 DAT1 and 14 DAT2 |
[14C]‐carbonyl labelled phosmet (Spain, | |
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|
| – | – | – | – | No study required (EFSA, | |
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| ||
| Pasteurisation (20 min, 90°C, pH 4) | Yes | Spain ( | |||
| Baking, brewing and boiling (60 min, 100°C, pH 5) | No | Two studies were provided, showing discrepancies in the identification and occurrence of degradation products (Spain, | |||
| Sterilisation (20 min, 120°C, pH 6) | No | ||||
| Code number | Commodity | Existing EU MRL (mg/kg) | Existing CXL (mg/kg) | Outcome of the review | |
|---|---|---|---|---|---|
| MRL (mg/kg) | Comment | ||||
|
| |||||
| 110010 | Grapefruit | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110020 | Oranges | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110030 | Lemons | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110040 | Limes | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 110050 | Mandarins | 0.5 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120010 | Almonds | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120020 | Brazil nuts | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120030 | Cashew nuts | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120040 | Chestnuts | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120050 | Coconuts | 0.05 | 0.2 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120060 | Hazelnuts | 0.1 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120070 | Macadamia | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120080 | Pecans | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120090 | Pine nuts | 0.05 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120100 | Pistachios | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 120110 | Walnuts | 2 | 0.2 | 0.2 |
Further consideration needed Data gap #1, 2, 3, 4 |
| 130010 | Apples | 0.5 | 3 | – |
Further consideration needed |
| 130020 | Pears | 0.5 | 3 | – | Further consideration needed |
| 130030 | Quinces | 0.5 | 3 | – | Further consideration needed |
| 130040 | Medlar | 0.5 | 3 | – |
Further consideration needed |
| 130050 | Loquat | 0.5 | 3 | – | Further consideration needed |
| 140010 | Apricots | 0.05 | 10 | – | Further consideration needed |
| 140030 | Peaches | 1 | 10 | ‐ | Further consideration needed |
| 151010 | Table grapes | 0.05 | 10 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 151020 | Wine grapes | 0.05 | 10 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 154010 | Blueberries | 10 | 10 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 154020 | Cranberries | 10 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 161040 | Kumquats | 2 | 3 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 211000 | Potatoes | 0.05 | 0.05 | – |
Further consideration needed Data gap #1, 2, 3, 4 |
| 401090 | Cotton seeds | 0.05 | 0.05 | 0.05 |
Further consideration needed Data gap #1, 2, 3, 4 |
| – | Other commodities of plant and/or animal origin | See Reg. (EU) No 737/2014 | – | – | Further consideration needed |
MRL: maximum residue level; CXL: codex maximum residue limit.
Indicates that the MRL is set at the limit of quantification.
There are no relevant authorisations or import tolerances reported at EU level; CXL is not sufficiently supported by data and a risk to consumers cannot be excluded. Either a specific LOQ or the default MRL of 0.01 mg/kg may be considered (combination A‐IV in Appendix E).
MRL is derived from the existing CXL, which is not sufficiently supported by data but for which no risk to consumers is identified (assuming the existing residue definition); there are no relevant authorisations or import tolerances reported at EU level (combination A‐V in Appendix E).
There are no relevant authorisations or import tolerances reported at EU level. European reservation expressed for existing CXL due to short‐term intake concerns. Either a specific LOQ or the default MRL of 0.01 mg/kg may be considered.
There are no relevant authorisations or import tolerances reported at EU level; no CXL is available. Either a specific LOQ or the default MRL of 0.01 mg/kg may be considered (combination A‐I in Appendix E).
| Commodity | Chronic risk assessment | Acute risk assessment | ||
|---|---|---|---|---|
| Input value (mg/kg) | Comment | Input value (mg/kg) | Comment | |
|
Phosmet is part of a wider provisional residue definition derived during the peer review, including also phosmet‐oxon and phthalic acid, for which no toxicological data are available. The risk assessment performed is indicative considering parent only. | ||||
| Citrus fruits, except oranges | 0.12 | Scenario 1: STMR (CXL) × PeF (0.19) (tentative) | 0.34 | Scenario 1: HR (CXL) × PeF (0.19) (tentative) |
| 0.01 | Scenario 2: LOQ | 0.01 | Scenario 2: LOQ | |
| Oranges | 0.12 | Scenario 1: STMR (CXL) × PeF (0.19) (tentative) | 0.34 | Scenario 1: HR (CXL) × PeF (0.19) (tentative) |
| 0.005 | Scenario 2: LOQ (EURLs) | 0.005 | Scenario 2: LOQ (EURLs) | |
| Tree nuts, except coconuts | 0.05 | STMR (CXL) (tentative) | 0.09 | HR (CXL) (tentative) |
| Coconuts | 0.05 | Scenario 1: STMR (CXL) (tentative) | 0.09 | Scenario 1: HR (CXL) (tentative) |
| 0.01 | Scenario 2: LOQ | 0.01 | Scenario 2: LOQ | |
| Table grapes | 3.05 | Scenario 1: STMR (CXL) (tentative) | 9.2 | Scenario 1: HR (CXL) (tentative) |
| 0.01 | Scenario 2: LOQ | 0.01 | Scenario 2: LOQ | |
| Wine grapes | 3.05 | Scenario 1: STMR (CXL) (tentative) | 9.2 | Scenario 1: HR (CXL) (tentative) |
| 0.01 | Scenario 2: LOQ | 0.01 | Scenario 2: LOQ | |
| Blueberries | 4 | Scenario 1: STMR (CXL) (tentative) | 9.9 | Scenario 1: HR (CXL) (tentative) |
| 0.01 | Scenario 2: LOQ | 0.01 | Scenario 2: LOQ | |
| Cranberries | 0.85 | Scenario 1: STMR (CXL) (tentative) | 0.91 | Scenario 1: HR (CXL) (tentative) |
| 0.01 | Scenario 2: LOQ | 0.01 | Scenario 2: LOQ | |
| Kumquats | 0.64 | Scenario 1: STMR (CXL) (tentative) | 1.8 | Scenario 1: HR (CXL) (tentative) |
| 0.01 | Scenario 2: LOQ | 0.01 | Scenario 2: LOQ | |
| Potatoes | 0.05 | Scenario 1: STMR (CXL) (tentative) | 0.05 | Scenario 1: HR (CXL) (tentative) |
| 0.005 | Scenario 2: LOQ (EURLs) | 0.005 | Scenario 2: LOQ (EURLs) | |
| Cotton seeds | 0.05 | STMR (CXL) (tentative) | 0.05 | STMR (CXL) (tentative) |
STMR: supervised trial median residue; PeF: peeling factor; HR: highest residue; CXL: Codex maximum residue limit; LOQ: limit of quantification; EURLs: European Union Reference Laboratories for Pesticide Residues.
Indicates that the input value is proposed at the limit of quantification.
| Code/trivial name | IUPAC name/SMILES notation/InChiKey | Structural formula |
|---|---|---|
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or
S=P(OC)(SCN1C(C2 = CC=CC=C2C1 = O) = O)OC LMNZTLDVJIUSHT‐UHFFFAOYSA‐N |
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O=P(OC)(SCN1C(C2 = CC=CC=C2C1 = O) = O)OC BEMXOWRVWRNPPL‐UHFFFAOYSA‐N |
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2‐carbamoylbenzoic acid OC(=O)c1ccccc1C(N) = O CYMRPDYINXWJFU‐UHFFFAOYSA‐N |
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phthalic acid OC(=O)c1ccccc1C(=O)O XNGIFLGASWRNHJ‐UHFFFAOYSA‐N |
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IUPAC: International Union of Pure and Applied Chemistry; SMILES: simplified molecular‐input line‐entry system; InChiKey: International Chemical Identifier Key.
The metabolite name in bold is the name used in the conclusion.
ACD/Name 2020.2.1 ACD/Labs 2020 Release (File version N15E41, Build 116563, 15 June 2020).
ACD/ChemSketch 2020.2.1 ACD/Labs 2020 Release (File version C25H41, Build 121153, 22 March 2021).