Commission Regulation (EC) No 401/2006 of 23 February 2006 laying down the methods of sampling and analysis for the official control of the levels of mycotoxins in foodstuffs (Text with EEA relevance)
Modified by
- Commission Regulation (EU) No 178/2010of 2 March 2010amending Regulation (EC) No 401/2006 as regards groundnuts (peanuts), other oilseeds, tree nuts, apricot kernels, liquorice and vegetable oil(Text with EEA relevance), 32010R0178, March 3, 2010
- Commission Regulation (EU) No 519/2014of 16 May 2014amending Regulation (EC) No 401/2006 as regards methods of sampling of large lots, spices and food supplements, performance criteria for T-2, HT-2 toxin and citrinin and screening methods of analysis(Text with EEA relevance)Corrigendum to Commission Regulation (EU) No 519/2014 of 16 May 2014 amending Regulation (EC) No 401/2006 as regards methods of sampling of large lots, spices and food supplements, performance criteria for T-2, HT-2 toxin and citrinin and screening methods of analysis(Official Journal of the European Union L 147 of 17 May 2014), 32014R051932014R0519R(01), May 17, 2014
Corrected by
- Corrigendum to Commission Regulation (EU) No 519/2014 of 16 May 2014 amending Regulation (EC) No 401/2006 as regards methods of sampling of large lots, spices and food supplements, performance criteria for T-2, HT-2 toxin and citrinin and screening methods of analysis, 32014R0519R(01), December 13, 2016
A.2.1. "lot" means an identifiable quantity of a food commodity delivered at one time and determined by the official to have common characteristics, such as origin, variety, type of packing, packer, consignor or markings; A.2.2. "sublot" means a designated part of a large lot in order to apply the sampling method on that designated part; each sublot must be physically separate and identifiable; A.2.3. "incremental sample" means a quantity of material taken from a single place in the lot or sublot; A.2.4. "aggregate sample" means the combined total of all the incremental samples taken from the lot or sublot; A.2.5. "laboratory sample" means a sample intended for the laboratory.
the mycotoxin content, adversely affect the analytical determination or make the aggregate samples unrepresentative; the food safety of the lots to be sampled.
weight: in kg sampling frequency (SF): every n th sack or bag from which an incremental sample must be taken (decimal figures should be rounded to the nearest whole number).
Commodity | Lot weight (tonne) | Weight or number of sublots | No incremental samples | Aggregate sample Weight (kg) |
---|---|---|---|---|
Cereals and cereal products | > 300 and < | 3 sublots | 100 | 10 |
≥ 50 and ≤ 300 | 100 tonnes | 100 | 10 | |
< 50 | — | 3-100 | 1-10 |
On condition that the sublot can be separated physically, each lot shall be subdivided into sublots following Table 1. Taking into account that the weight of the lot is not always an exact multiple of the weight of the sublots, the weight of the sublot may exceed the mentioned weight by a maximum of 20 %. In case the lot is not or cannot be physically separated into sublots, a minimum of 100 incremental samples is taken from the lot. For lots > 500 tonnes, the number of incremental samples is provided for in part L.2 of Annex I. Each sublot shall be sampled separately. Number of incremental samples: 100. Weight of the aggregate sample = 10 kg. If it is not possible to carry out the method of sampling set out in this point because of the unacceptable commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented. An alternative method of sampling may also be applied in cases where it is practically impossible to apply the abovementioned method of sampling. This is e.g. the case where large lots of cereals are stored in warehouses or where cereals are stored in silos .The sampling of such lots shall be performed in accordance with the rules set out in part L. Guidance for sampling large lots shall be provided in a guidance document available on the following website: http://ec.europa.eu/food/food/chemicalsafety/contaminants/guidance-sampling-final.pdf The application of sampling rules in accordance with EN ISO 24333:2009 or GAFTA Sampling Rules 124, applied by food business operators to ensure compliance with provisions in legislation is equivalent to the sampling rules set out in part L. For the sampling of lots for Fusarium -toxins, the application of sampling rules in accordance with EN ISO 24333:2009 or GAFTA Sampling Rules 124, applied by food business operators to ensure compliance with provisions in legislation is equivalent to the sampling rules set out in part B
Lot weight (tonnes) | Number of incremental samples | |
---|---|---|
≤ 0,05 | ||
> 0,05-≤ 0,5 | ||
> 0,5-≤ 1 | ||
> 1-≤ 3 | ||
> 3-≤ 10 | ||
> 10-≤ 20 | ||
> 20-≤ 50 |
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty; rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
aflatoxin B1 and total aflatoxins in dried fruit but with the exception of dried figs and ochratoxin A in dried vine fruit (currants, raisins and sultanas).
Commodity | Lot weight (tonnes) | Weight or number of sublots | Number of incremental samples | Aggregate sample weight (kg) |
---|---|---|---|---|
Dried fruit | ≥ 15 | 15-30 tonnes | ||
< 15 | — | 10-100 | 1-10 |
On condition that the sublot can be separated physically, each lot shall be subdivided into sublots following Table 1. Taking into account that the weight of the lot is not always an exact multiple of the weight of the sublots, the weight of the sublot may exceed the mentioned weight by a maximum of 20 %. Each sublot shall be sampled separately. Number of incremental samples: 100. Weight of the aggregate sample = 10 kg. If it is not possible to carry out the method of sampling described above because of the commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented.
Lot weight (tonnes) | Number of incremental samples | Aggregate sample weight (kg) |
---|---|---|
≤ 0,1 | ||
> 0,1-≤ 0,2 | ||
> 0,2-≤ 0,5 | ||
> 0,5-≤ 1,0 | ||
> 1,0-≤ 2,0 | ||
> 2,0-≤ 5,0 | ||
> 5,0-≤ 10,0 | ||
> 10,0-≤ 15,0 |
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty; rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
Commodity | Lot weight (tonne) | Weight or number of sublots | No incremental samples | Aggregate sample weight (kg) |
---|---|---|---|---|
Dried figs | ≥ 15 | 15-30 tonnes | ||
< 15 | — | 10-100 | ≤ 30 |
On condition that the sublot can be separated physically, each lot shall be subdivided into sublots following table 1. Taking into account that the weight of the lot is not always an exact multiple of the weight of the sublots, the weight of the sublot may exceed the mentioned weight by a maximum of 20 %. Each sublot shall be sampled separately, Number of incremental samples: 100, Weight of the aggregate sample = 30 kg which shall be mixed and to be divided into three equal laboratory samples of 10 kg before grinding (this division into three laboratory samples is not necessary in case of dried figs subjected to further sorting or other physical treatment and of the availability of equipment which is able to homogenise a 30 kg sample). Each laboratory sample of 10 kg shall be separately ground finely and mixed thoroughly to achieve complete homogenisation, in accordance with the provisions laid down in Annex II. If it is not possible to carry out the method of sampling described above because of the unacceptable commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented.
Lot weight (tonnes) | No of incremental samples | Aggregate sample Weight (kg) (in case of retail packings, weight of aggregate sample can diverge — see point D.1.1) | No of laboratory samples from aggregate sample |
---|---|---|---|
≤ 0,1 | 1 (no division) | ||
> 0,1 – ≤ 0,2 | 1 (no division) | ||
> 0,2 – ≤ 0,5 | 1 (no division) | ||
> 0,5 – ≤ 1,0 | 9 (- < 12 kg) | 1 (no division) | |
> 1,0 – ≤ 2,0 | |||
> 2,0 – ≤ 5,0 | 18 (- < 24 kg) | ||
> 5,0 – ≤ 10,0 | |||
> 10,0 – ≤ 15,0 |
Weight of the aggregate sample ≤ 30 kg which shall be mixed and divided into two or three equal laboratory samples of ≤ 10 kg before grinding (this division into two or three laboratory samples is not necessary in case of dried figs, subjected to further sorting or other physical treatment and of the availability of equipment which is able to homogenise up to 30 kg samples). In cases where the aggregate sample weights are less than 30 kg, the aggregate sample shall be divided into laboratory samples according to following guidance: < 12 kg: no division into laboratory samples; ≥ 12 – < 24 kg: division into two laboratory samples; ≥ 24 kg: division into three laboratory samples.
Each laboratory sample shall be separately ground finely and mixed thoroughly to achieve complete homogenisation, in accordance with the provisions laid down in Annex II, If it is not possible to carry out the method of sampling described above because of the unacceptable commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented.
Number of incremental samples: 100; for lots of under 50 tons the number of incremental samples shall be 10 to 100, depending on the lot weight (see table 3), Table 3 Number of incremental samples to be taken depending on the weight of the lot Lot weight (tonnes) No of incremental samples Aggregate sample weight (kg) ≤ 1 10 1 > 1 – ≤ 3 20 2 > 3 – ≤ 10 40 4 > 10 – ≤ 20 60 6 > 20 – ≤ 50 100 10 The weight of the incremental sample shall be about 100 grams. In the case of lots in retail packing, the weight of the incremental sample depends on the weight of the retail packing, Weight of aggregate sample = 1-10 kg sufficiently mixed,
acceptance if the aggregate sample or the average of the laboratory samples conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if the aggregate sample or the average of the laboratory samples exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty,
acceptance if none of the laboratory samples exceeds the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if one or more of the laboratory samples exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty,
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty,
Commodity | Lot weight (tonne) | Weight or number of sublots | No incremental samples | Aggregate sample weight (kg) |
---|---|---|---|---|
Groundnuts (peanuts), other oilseeds, apricot kernels and tree nuts | ≥ 500 | 100 tonnes | ||
> 125 and < 500 | 5 sublots | |||
≥ 15 and ≤ 125 | 25 tonnes | |||
< 15 | — | 10-100 | ≤ 20 |
On condition that the sublot can be separated physically, each lot shall be subdivided into sublots following table 1. Taking into account that the weight of the lot is not always an exact multiple of the weight of the sublots, the weight of the sublot may exceed the mentioned weight by a maximum of 20 %. Each sublot shall be sampled separately, Number of incremental samples: 100, Weight of the aggregate sample = 20 kg which shall be mixed and to be divided into two equal laboratory samples of 10 kg before grinding (this division into two laboratory samples is not necessary in case of groundnuts (peanuts), other oilseeds, apricot kernels and tree nuts subjected to further sorting or other physical treatment and of the availability of equipment which is able to homogenise a 20 kg sample). Each laboratory sample of 10 kg shall be separately ground finely and mixed thoroughly to achieve complete homogenisation, in accordance with the provisions laid down in Annex II. If it is not possible to carry out the method of sampling described above because of the commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented.
Lot weight (tonnes) | No of incremental samples | Aggregate sample Weight (kg) (in case of retail packings, weight of aggregate sample can diverge — see point D.2.1) | No of laboratory samples from aggregate sample |
---|---|---|---|
≤ 0,1 | 1 (no division) | ||
> 0,1 – ≤ 0,2 | 1 (no division) | ||
> 0,2 – ≤ 0,5 | 1 (no division) | ||
> 0,5 – ≤ 1,0 | 1 (no division) | ||
> 1,0 – ≤ 2,0 | 8 (- < 12 kg) | 1 (no division) | |
> 2,0 – ≤ 5,0 | |||
> 5,0 – ≤ 10,0 | |||
> 10,0 – ≤ 15,0 |
Weight of the aggregate sample ≤ 20 kg which shall be mixed and if necessary divided into two equal laboratory samples of ≤ 10 kg before grinding (this division into two laboratory samples is not necessary in case of, groundnuts (peanuts), other oilseeds, apricot kernels and tree nuts subjected to further sorting or other physical treatment and of the availability of equipment which is able to homogenise up to 20 kg samples). In cases where the aggregate sample weights are less than 20 kg, the aggregate sample shall be divided into laboratory samples according to following guidance: < 12 kg: no division into laboratory samples; ≥ 12 kg division into two laboratory samples.
Each laboratory sample shall be separately ground finely and mixed thoroughly to achieve complete homogenisation, in accordance with the provisions laid down in Annex II, If it is not possible to carry out the method of sampling described above because of the unacceptable commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented.
Number of incremental samples: 100; for lots of under 50 tons the number of incremental samples shall be 10 to 100, depending on the lot weight (see table 3), Table 3 Number of incremental samples to be taken depending on the weight of the lot Lot weight (tonnes) No of incremental samples Aggregate sample weight (kg) ≤ 1 10 1 > 1 – ≤ 3 20 2 > 3 – ≤ 10 40 4 > 10 – ≤ 20 60 6 > 20 – ≤ 50 100 10 The weight of the incremental sample shall be about 100 grams. In the case of lots in retail packing, the weight of the incremental sample depends on the weight of the retail packing, Weight of aggregate sample = 1-10 kg sufficiently mixed,
acceptance if the aggregate sample or the average of the laboratory samples conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if the aggregate sample or the average of the laboratory samples exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty,
acceptance if none of the laboratory samples exceeds the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if one or both of the laboratory samples exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty,
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
Commodity | Lot weight (tonnes) | Weight or number of sublots | Number of incremental samples | Aggregate sample Weight (kg) |
---|---|---|---|---|
Spices | ≥ 15 | 25 tonnes | ||
< 15 | — | 5-100 | 0,5-10 |
On condition that the sublot can be separated physically, each lot shall be subdivided into sublots following Table 1. Taking into account that the weight of the lot is not always an exact multiple of the weight of the sublots, the weight of the sublot may exceed the mentioned weight by a maximum of 20 %. Each sublot shall be sampled separately. Number of incremental samples: 100. Weight of the aggregate sample = 10 kg. If it is not possible to carry out the method of sampling described above because of the unacceptable commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented.
Lot weight (tonnes) | Number of incremental samples | Aggregate sample weight (kg) |
---|---|---|
≤ 0,01 | ||
> 0,01-≤ 0,1 | ||
> 0,1-≤ 0,2 | ||
> 0,2-≤ 0,5 | ||
> 0,5-≤ 1,0 | ||
> 1,0-≤ 2,0 | ||
> 2,0-≤ 5,0 | ||
> 5,0-≤ 10,0 | ||
> 10,0-≤ 15,0 |
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty; rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
Form of commercialisation | Volume or weight of lot (in litre or kg) | Minimum number of incremental samples to be taken | Minimum volume or weight of aggregate sample (in litre or kg) |
---|---|---|---|
Bulk | — | 3-5 | |
Bottles/packages | ≤ 50 | ||
Bottles/packages | 50 to 500 | ||
Bottles/packages | > 500 |
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty (or decision limit — see Annex II, point 4.4.), rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty (or decision limit — see Annex II, point 4.4.).
Commodity | Lot weight (ton) | Weight or number of sublots | No incremental samples | Aggregate sample Weight (kg) |
---|---|---|---|---|
Roasted coffee beans, ground roasted coffee, soluble coffee, liquorice root and liquorice extract | ≥ 15 | 15-30 tonnes | ||
< 15 | — | 10-100 | 1-10 |
On condition that the sublot can be separated physically, each lot shall be subdivided into sublots following table 1. Taking into account that the weight of the lot is not always an exact multiple of the weight of the sublots, the weight of the sublot may vary from the mentioned weight by a maximum of 20 %. Each sublot shall be sampled separately, Number of incremental samples: 100, Weight of the aggregate sample = 10 kg, If it is not possible to carry out the method of sampling described above because of the unacceptable commercial consequences resulting from damage to the lot (because of packaging forms, means of transport, etc.) an alternative method of sampling may be applied provided that it is as representative as possible and is fully described and documented.
Lot weight (tonnes) | No of incremental samples | Aggregate sample weight (kg) |
---|---|---|
≤ 0,1 | ||
> 0,1 – ≤ 0,2 | ||
> 0,2 – ≤ 0,5 | ||
> 0,5 – ≤ 1,0 | ||
> 1,0 – ≤ 2,0 | ||
> 2,0 – ≤ 5,0 | ||
> 5,0 – ≤ 10,0 | ||
> 10,0 – ≤ 15,0 |
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
ochratoxin A in wine, grape juice and grape must and patulin in fruit juices, fruit nectar, spirit drinks, cider and other fermented drinks derived from apples or containing apple juice.
Form of commercialisation | Volume of lot (in litres) | Minimum number of incremental samples to be taken | Minimum volume of the aggregate sample (in litres) |
---|---|---|---|
Bulk (fruit juice, spirit drinks, cider, wine) | — | ||
Bottles/packages (fruit juice, spirit drinks, cider) | ≤ 50 | ||
Bottles/packages (fruit juice, spirit drinks, cider) | 50 to 500 | ||
Bottles/packages (fruit juice, spirit drinks, cider) | > 500 | ||
Bottles/packages wine | ≤ 50 | ||
Bottles/packages wine | 50 to 500 | ||
Bottles/packages wine | > 500 |
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
Weight of lot (in kg) | Minimum number of incremental samples to be taken | Aggregate sample weight(kg) |
---|---|---|
< 50 | ||
50 to 500 | ||
> 500 |
Number of packages or units in the lot | Number of packages or units to be taken | Aggregate sample weight(kg) |
---|---|---|
1 to 25 | 1 package or unit | |
26 to 100 | about 5 %, at least two packages or units | |
> 100 | about 5 %, at maximum 10 packages or units |
acceptance if the laboratory sample conforms to the maximum limit, taking into account the measurement uncertainty and correction for recovery, rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the measurement uncertainty and correction for recovery.
for aflatoxins, ochratoxin A and Fusarium -toxins in baby foods and processed cereal-based foods for infants and young children,for aflatoxins and ochratoxin A in dietary foods for special medical purposes (other than milk and milk products) intended specifically for infants and for patulin in baby foods other than processed cereal based foods for infants and young children. For the control of the maximum levels established for patulin in apple juice and solid apple products for infants and young children the method of sampling as described under part I of Annex I shall apply.
The method of sampling for cereals and cereal products as set out in point B.4 of Annex I shall apply to food intended for infants and young children. Accordingly the number of incremental samples to be taken shall depend on the weight of the lot, with a minimum of 10 and a maximum of 100, in accordance with Table 2 at point B.4 of Annex I. For very small lots (≤ 0,5 tonnes) a lower number of incremental samples may be taken, but the aggregate sample uniting all incremental samples shall be also in that case at least 1 kg. weight of the incremental sample shall be about 100 grams. In the case of lots in retail packing, the weight of the incremental sample shall depend on the weight of the retail packing and in case of very small lots (≤ 0,5 tonnes) the incremental samples shall have a weight as such that uniting the incremental samples results in an aggregate sample of at least 1 kg. Departure from this method shall be recorded in the record provided for under A.3.8. weight of aggregate sampling = 1-10 kg sufficiently mixed.
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty; rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
The weight of the incremental sample shall be at least about 100 grams (ml) (depending of the nature of the consignment e.g. vegetable oil in bulk, at least 3 incremental samples of about 350 ml have to be taken), resulting in an aggregate sample of at least 1 kg (litre), The minimum number of incremental samples to be taken from the lot shall be as given in Table 1. The lot shall be thoroughly mixed insofar possible by either manual or mechanical means immediately prior to sampling. In this case, a homogeneous distribution of aflatoxin can be assumed within a given lot, it is therefore sufficient to take three incremental samples from a lot to form the aggregate sample. Table 1 Minimum number of incremental samples to be taken from the lot On condition that the sublot can be separated physically, large bulk consignments/lots of vegetable oils shall be subdivided into sublots as foreseen in table 2 of this part. Form of commercialisation Weight of lot (in kg) Volume of lot (in litres) Minimum number of incremental samples to be taken Bulk — 3 packages ≤ 50 3 packages > 50 to 500 5 packages > 500 10 Table 2 Subdivision of lots into sublots depending on lot weight Commodity Lot weight (tonne) Weight or number of sublots Minimum N o incremental samplesMinimum aggregate sample weight (kg) Vegetable oils ≥ 1500 500 tonnes 3 1 > 300 and < 1500 3 sublots 3 1 ≥ 50 and ≤ 300 100 tonnes 3 1 < 50 — 3 1
acceptance if the laboratory sample conforms to the maximum limit, taking into account the correction for recovery and measurement uncertainty, rejection if the laboratory sample exceeds the maximum limit beyond reasonable doubt taking into account the correction for recovery and measurement uncertainty.
Lot size (number of retail packages) | Number of retail packages to be taken for sample | Sample size |
---|---|---|
1-50 | 1 | All capsules |
51-250 | 2 | All capsules |
251- | 4 | From each retail package taken for sample, half of the capsules |
> | 4 + 1 retail package per |
samples of nuts "in shell" can be shelled and the level of aflatoxins is determined in the edible part. the nuts "in shell" can be taken through the sample preparation procedure. The method of sampling and analysis shall estimate the weight of nut kernel in the aggregate sample. The weight of nut kernel in the aggregate sample shall be estimated after establishing a suitable factor for the proportion of nut shell to nut kernel in whole nuts. This proportion is used to ascertain the amount of kernel in the bulk sample taken through the sample preparation and method of analysis.
(a) Performance criteria for aflatoxins Note: Values to apply to both B 1 and sum of B1 + B2 + G1 + G2 If sum of individual aflatoxins B 1 + B2 + G1 + G2 are to be reported, then response of each to the analytical system must be either known or equivalent.
Criterion Concentration Range Recommended Value Maximum permitted Value Blanks All Negligible — Recovery — Aflatoxin M 1 0,01-0,05 μg/kg 60 to 120 % > 0,05 μg/kg 70 to 110 % Recovery — Aflatoxins B 1 , B2 , G1 , G2 < 1,0 μg/kg 50 to 120 % 1-10 μg/kg 70 to 110 % > 10 μg/kg 80 to 110 % Reproducibility RSD R All As derived from Horwitz Equation (*)(**) 2 × value derived from Horwitz Equation (*)(**) Repeatability RSD r may be calculated as 0,66 times Reproducibility RSDR at the concentration of interest.(b) Performance criteria for ochratoxin A Level μg/kg Ochratoxin A RSD r %RSD R %Recovery % < 1 ≤ 40 ≤ 60 50 to 120 ≥ 1 ≤ 20 ≤ 30 70 to 110 (c) Performance criteria for patulin Level μg/kg Patulin RSD r %RSD R %Recovery % < 20 ≤ 30 ≤ 40 50 to 120 20-50 ≤ 20 ≤ 30 70 to 105 > 50 ≤ 15 ≤ 25 75 to 105 (d) Performance criteria for deoxynivalenol Level μg/kg Deoxynivalenol RSD r %RSD R %Recovery % > 100-≤ 500 ≤ 20 ≤ 40 60 to 110 > 500 ≤ 20 ≤ 40 70 to 120 (e) Performance criteria for zearalenone Level μg/kg Zearalenone RSD r %RSD R %Recovery % ≤ 50 ≤ 40 ≤ 50 60 to 120 > 50 ≤ 25 ≤ 40 70 to 120 (f) Performance criteria for Fumonisin B 1 and B2 individuallyLevel μg/kg Fumonisin B 1 and B2 individuallyRSD r %RSD R %Recovery % ≤ 500 ≤ 30 ≤ 60 60 to 120 > 500 ≤ 20 ≤ 30 70 to 110 (g) Performance criteria for T-2 and HT-2 toxin individually Level μg/kg T-2 and HT-2 toxin individually RSD r %RSD R %Recovery % 15-250 ≤ 30 ≤ 50 60 to 130 > 250 ≤ 25 ≤ 40 60 to 130 (h) Performance criteria for citrinin Level μg/kg Citrinin RSD r %Recommended RSD R %Maximum allowed RSD R %Recovery % All 0,66 × RSD R As derived from Horwitz Equation (*) (**) 2 × value derived from Horwitz Equation (*) (**) 70 to 120 (i) Notes to the performance criteria for the mycotoxins: The detection limits of the methods used are not stated as the precision values given at the concentrations of interest. The precision values are calculated from the Horwitz equation, in particular the original Horwitz equation (for concentrations 1,2 × 10 –7 ≤ C ≤ 0,138) (*) and the modified Horwitz equation (for concentrations C < 1,2 × 10–7 ) (**).(*) Horwitz equation for concentrations 1,2 × 10 –7 ≤ C ≤ 0,138:RSD R = 2(1-0.5logC) (ref: W. Horwitz, L.R. Kamps, K.W. Boyer, J.Assoc.Off.Analy.Chem.,1980, 63, 1344) (**) Modified Horwitz equation (*) for concentrations C < 1,2 × 10 –7 :RSD R = 22 %(ref: M. Thompson, Analyst, 2000, 125, p. 385-386) Where: RSD R is the relative standard deviation calculated from results generated under reproducibility conditions [(sR/) × 100]C is the concentration ratio (i.e. 1 = 100g/100g, 0,001 = 1000 mg/kg)
This is a generalised precision equation which has been found to be independent of analyte and matrix but solely dependent on concentration for most routine methods of analysis.
Uf is the maximum standard measurement uncertainty (μg/kg)LOD is the limit of detection of the method (μg/kg) α is a constant, numeric factor to be used depending on the value of C. The values to be used are set out in Table hereafter. C is the concentration of interest (μg/kg)
C (μg/kg) | α |
---|---|
≤ 50 | 0,2 |
51-500 | 0,18 |
501- | 0,15 |
0,12 | |
> | 0,1 |
quality control for the batch of samples screened providing information on robustness of the method at conditions in the laboratory that applies the method justification of applicability of the method to different commodities allowing to adjust cut-off values in case of gradual drifts over time.
A statement on the STC A statement on the obtained cut-off.
A statement on calculated false suspected rate A statement on how the false suspected rate was generated.
Commodity groups | Commodity categories | Typical representative commodities included in the category |
---|---|---|
High water content | Fruit Juices | Apple juice, grape juice |
Alcoholic beverages | Wine, beer, cider | |
Root and tuber vegetables | Fresh ginger | |
Cereal or fruit based purees | Purees intended for infants and small children | |
High oil content | Tree nuts | Walnut, hazelnut, chestnut |
Oil seeds and products thereof | Oilseed rape, sunflower, cotton-seed, soybeans, peanuts, sesame etc. | |
Oily fruits and products thereof | Oils and pastes (e.g. peanut butter, tahina) | |
High starch and/or protein content and low water and fat content | Cereal grain and products thereof | Wheat, rye, barley, maize, rice, oats Wholemeal bread, white bread, crackers, breakfast cereals, pasta |
Dietary products | Dried powders for the preparation of food for infants and small children | |
High acid content and high water content | Citrus products | |
"Difficult or unique commodities" | ||
High sugar low water content | Dried fruits | Figs, raisins, currants, sultanas |
Milk and milk products | Milk | Cow, goat and buffalo milk |
Cheese | Cow, goat cheese | |
Dairy products (e.g. milk powder) | Yogurt, cream |
Degrees of Freedom | Number of replicates | t-value (5 %) |
---|---|---|
10 | 11 | 1,812 |
11 | 12 | 1,796 |
12 | 13 | 1,782 |
13 | 14 | 1,771 |
14 | 15 | 1,761 |
15 | 16 | 1,753 |
16 | 17 | 1,746 |
17 | 18 | 1,74 |
18 | 19 | 1,734 |
19 | 20 | 1,729 |
20 | 21 | 1,725 |
21 | 22 | 1,721 |
22 | 23 | 1,717 |
23 | 24 | 1,714 |
24 | 25 | 1,711 |
25 | 26 | 1,708 |
26 | 27 | 1,706 |
27 | 28 | 1,703 |
28 | 29 | 1,701 |
29 | 30 | 1,699 |
30 | 31 | 1,697 |
40 | 41 | 1,684 |
60 | 61 | 1,671 |
120 | 121 | 1,658 |
∞ | ∞ | 1,645 |
(a) Corrected for recovery, the level of recovery being indicated. The correction for recovery is not necessary in case the recovery rate is between 90-110 %. (b) As x +/– U whereby x is the analytical result and U is the expanded measurement uncertainty, using a coverage factor of 2 which gives a level of confidence of approximately 95 %.
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