Similar results were found by Pinho et al. (2010). It was also seen that the pineapple, tomato and grape matrices separated from the

other matrices by the second component. This separation is due to the fact that higher percentages of matrix effect be obtained for this group of matrices (tomato, pineapple and grape), with a strongly acidity common feature of these matrices and to distinguish them from others. The soil matrix is rich in organic matter, presenting in its constitution compounds of high molecular weight that are sure to form new active sites on the liner to which the analytes can bind, causing a negative matrix effect for all pesticides and, for this reason, it is well separate from other matrices. A second interpretation of the biplot graphics can be performed with the aid of Fig. 4.This figure graphically represents Tariquidar research buy the matrix effect for the different samples (graphics A–G) on pesticides (x axis) at different concentrations (vertical bars). Using Fig. 3 and Fig. 4 it is possible to analyse more thoroughly different systems. For the chlorothalonil and azoxystrobin pesticides a very similar behaviour was observed. It is noted that for most matrices these pesticides have check details experienced positive effect, except for soil and water. For potato these pesticides

experienced negative effects when in high concentrations. In pineapple and tomato matrices chlorothalonil experienced a

greater effect when at low concentrations. In the biplot graphic, chlorothalonil and azoxystrobin were located in the centre, because they showed positive and negative matrix effects. Procymidone, chlorpyrifos, endolssulfan, methyl parathion pesticides were the pesticides that presented less matrix effects. It is also noted that the chlorpyrifos and procymidone pesticides have showed more negative effects, but both experienced positive effects on apple extract and chlorpyrifos in the tomato extract. These behaviours have caused these pesticides to be located in the quadrant of the matrices that showed more negative effects, i.e., soil, potato, OSBPL9 water and apple. These pesticides have presented both negative and positive effects, but as both were low, these pesticides were closer to the centre in the biplot graphic. The λ-cyhalothrin showed significant positive effects from pineapple, grape and tomato. Apple and water had little influence and potato and soil presented a negative effect on this pesticide. Therefore, the reason for the λ-cyhalothrin to be, in the biplot graph, along with the matrices that had more positive effects, i.e., pineapple, grapes and tomatoes is clear. The cypermethrin and deltamethrin pesticides presented greater influences of the components of pineapple, grape and tomato matrices, making them to remain located in the same quadrant of these matrices, as shown in Fig. 3.