© Benaki Phytopathological Institute
        
        
          Pesticide exposure risks
        
        
          7
        
        
          models. Extrapolations often have to be
        
        
          made using data from the most suitable or
        
        
          similar scenario for crop or application tech-
        
        
          nique. In selecting an indicative value for po-
        
        
          tential dermal exposure the variability of the
        
        
          data in the database supporting the model
        
        
          needs to be considered.  The UK model uses
        
        
          the 75th percentile values, whereas the Ger-
        
        
          man model uses the geometric mean val-
        
        
          ues. Having determined the potential op-
        
        
          erator exposure, a number of assumptions
        
        
          are then made with respect to transfer fac-
        
        
          tors of the pesticide from the outside of PPE
        
        
          to the skin of the operator and the rate of
        
        
          subsequent dermal absorption of the active
        
        
          substance estimated to have reached the
        
        
          skin of the operator.
        
        
          
            Performance of protective clothing
          
        
        
          The protection factor offered by vari-
        
        
          ous types of PPE tends to be related to the
        
        
          performance of new garments in standard
        
        
          laboratory tests such as EN 463 and EN 468.
        
        
          These two tests are for whole garments of
        
        
          chemical protective clothing and those
        
        
          passing the test are CE marked as Type 3 (EN
        
        
          463) or Type 4 (EN 468) garments.  Type 4
        
        
          garments offer more protection than Type 3
        
        
          garments.  Recently Type 6 garments (prEN
        
        
          13034) became available, which offer limit-
        
        
          ed protection against penetration by liq-
        
        
          uid contamination.  However in many cases,
        
        
          such as with the orchards or greenhous-
        
        
          es of southern Europe, working conditions
        
        
          for pesticide operators are such that spe-
        
        
          cific chemical protective clothing is rare-
        
        
          ly used.  Where protective clothing is worn
        
        
          it tends to be workwear such as polyester
        
        
          cotton coveralls, for which there are no test
        
        
          methods to determine penetration by aque-
        
        
          ous liquids. Field and laboratory tests car-
        
        
          ried out within the framework of the proj-
        
        
          ect SMT4-CT96-2048 have shown that the
        
        
          rate of coverall contamination is a key fac-
        
        
          tor in determining the protection factor of-
        
        
          fered by various types of coveralls (Moreira
        
        
          et al.
        
        
          , 1999).
        
        
          Another factor which should be further
        
        
          evaluated is the age or condition of PPE.  Dis-
        
        
          posable coveralls have a limited life, and the
        
        
          coating on the material begins to be dam-
        
        
          aged and removed by contact with the crop
        
        
          for example, or simply through the move-
        
        
          ment of the applicator creasing the materi-
        
        
          al.  Washable coveralls such as the polyester
        
        
          coveralls become more absorbent and less
        
        
          repellent after repeated washings, as the
        
        
          coating of the material is removed.
        
        
          
            Rates of dermal absorption
          
        
        
          Most models assume that 10% of the ac-
        
        
          tive substance which reaches the skin is ab-
        
        
          sorbed into the body. In practice the pro-
        
        
          portion of the active substance which is
        
        
          absorbed by the body is influenced by many
        
        
          factors. These range from factors such as the
        
        
          physicochemical properties of the active
        
        
          substance (partition coefficient in octanol/
        
        
          water and molecular weight), concentration
        
        
          of the active substance on the skin and the
        
        
          area of skin exposed, to the relative humid-
        
        
          ity and temperature of the air.  In order to
        
        
          improve model estimates of exposure, com-
        
        
          pound specific data are required for dermal
        
        
          absorption for likely ambient conditions in
        
        
          which the product would be used. The type
        
        
          of formulation can affect the rate of der-
        
        
          mal absorption, such as the presence of li-
        
        
          pophilic organic solvents such as xylene in
        
        
          emulsifiable concentrate formulations. The
        
        
          size of the molecule of the active substance
        
        
          also affects the rate of dermal absorption.
        
        
          
            Biomarkers of exposure and effect
          
        
        
          Biomonitoring studies to measure pesti-
        
        
          cides and metabolites in urine samples give
        
        
          an indication of the exposure levels and the
        
        
          absorbed dose, assuming pharmacokinet-
        
        
          ic data are available. Biomarkers of expo-
        
        
          sure can also measure the interactions be-
        
        
          tween a pesticide and target molecules or
        
        
          cells, including detection of biologically ef-
        
        
          fective doses (Lowry
        
        
          et al.
        
        
          , 1995; Decaprio
        
        
          et
        
        
          al.
        
        
          , 1997; Lopez
        
        
          et al.
        
        
          , 2007).
        
        
          Biomarkers of effect can identify alter-
        
        
          ations of an organism that could indicate a
        
        
          potential for health impairment or disease.
        
        
          Therefore biomarkers can be used to de-
        
        
          tect the early effects of pesticides before
        
        
          adverse clinical health effects occur. Tech-