Agriculture Reference
In-Depth Information
Table 3.1 (
Continued
)
Typical Commodity
Categories
Commodity Groups
Typical Representative Commodities
7. Meat (muscle) and
seafood
Red meat
Beef, game birds, horse, lamb, pork
White meat
Chicken, duck, turkey
Offals
Liver, kidney
Fish
Cod, haddock, salmon, trout
Crustaceans
Prawns, shrimps,
scallops, crabs
8. Milk and milk
products
Milk
Cow, ewe, and goat milk
Cheese
Cow and goat cheese, feta
Dairy products
Yogurt, cream
9. Eggs
Bird eggs
Chicken, duck, goose, quail
10. Fat from foods of
animal origin
Fat from animals
Kidney fat, dripping, lard
Milk fat
Butter
Fish oils
Cod liver oil
This table has been taken directly from the SANCO document 12571/2013 [16] and the commodity groups
reflect those given in the OECD publication [17] that provides guidance to registrants on how to validate a
residue method for their new pesticide.
i. Commodity group 2 may be merged with commodity group 1, if a buffer is used to stabilize pH
changes during the extraction step.
ii. If commodities from group 3 are mixed with water prior to extraction to achieve a water content of
>
70%, this group may be merged with group 1. The RL should be adjusted to account for smaller
sample portions (e.g., if 10 g portions are used for commodities from group 1 and 5 g for commodities
from group 3, the RL of group 3 should be twice the RL of group 1 unless the group 3 commodity has
been successfully validated at a lower level).
iii.
need to be fully validated only if they are to be frequently analyzed. If they are
analyzed only occasionally, validation may be reduced to just checking the RLs using spiked blank
extracts.
iv. If methods to determine nonpolar pesticides in commodities from group 7 are based on extracted fat,
these commodities can be merged with group 10.
“
Dif
cult commodities
”
From each commodity group, at least 20 different samples should be analyzed
following spiking at the anticipated SDL. The samples should be selected to cover
multiple commodities within the commodity group, with a minimum of two samples
per commodity. If validation criteria fail, then it must be repeated at a higher SDL.
Once in routine use, the method must also be subjected to ongoing method validation.
When particular analytes are not detected, then the results can be reported as below
the SDL (in appropriate units), as validated and underpinned by ongoing AQC. If
detected, an analyte can only be reported after a second con
rmatory analysis has
been undertaken using a method that provides identi
cation of the
residue. Table 3.2 gives the different parameters and criteria that must be considered
for validation of qualitative and quantitative methods.
Certain minimum performance criteria need to be de
cation and quanti
ned before a qualitative
screening method can be validated. As opposed to a quantitative method, there are no
