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Water and Solute Permeability of Plant Cuticles: Measurement and ...

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6.2 Steady State Penetration 157<br />

on average values <strong>of</strong> P <strong>and</strong> D measured or calculated for individual MX membranes.<br />

Accounting for considerable variability among individual membranes, the agreement<br />

between corrected Kcalc <strong>and</strong> with Kdet is good to fair. Good agreement obtained<br />

with MX from fruits <strong>and</strong> leaves <strong>of</strong> Citrus <strong>and</strong> Olea indicates that 2,4-D diffused in<br />

cutin <strong>and</strong> cutin is fairly homogeneous throughout the MX membranes. With Clivia,<br />

Ficus <strong>and</strong> Nerium MX, corrected Kcalc are still considerably lower than Kdet. <strong>Cuticles</strong><br />

<strong>of</strong> these three species have two different types <strong>of</strong> cutins, i.e., ester cutin near the<br />

epidermal cell wall <strong>and</strong> cutan at the outer surfaces <strong>of</strong> the CM (cf. Sects. 1.2 <strong>and</strong> 1.4).<br />

These types <strong>of</strong> cutin differ in polarity <strong>and</strong> structure, <strong>and</strong> it appears that D in cutan is<br />

lower than in ester cutin. This could account for low Kcalc seen in Table 6.4. Hence<br />

these three species still have a heterogeneous MX, but heterogeneity is much less<br />

than in CM.<br />

Having established that permeance <strong>of</strong> 2,4-D varies widely among species, we<br />

now turn to the role <strong>of</strong> partition coefficients as determinants <strong>of</strong> P. Equation (6.6)<br />

states that P is proportional to the partition coefficient, <strong>and</strong> Kerler <strong>and</strong> Schönherr<br />

(1988b) measured permeance <strong>of</strong> Citrus CM using a selection <strong>of</strong> important<br />

agricultural <strong>and</strong> environmental chemicals (Fig. 6.3). <strong>Solute</strong>s 1–5 are weak electrolytes,<br />

<strong>and</strong> donor solutions were appropriately buffered to assure high <strong>and</strong> constant<br />

log Permeance (m/s)<br />

0.020<br />

−5<br />

−6<br />

−7<br />

−8<br />

−9<br />

−10<br />

8<br />

1 2<br />

3<br />

3<br />

4<br />

log K/V x (mol/cm 3 )<br />

0.022 0.024 0.026 0.028 0.030 0.032<br />

2<br />

1<br />

4<br />

−11<br />

1 2 3 4 5 6 7 8<br />

log K<br />

5<br />

6<br />

log P = 192 log K/V x - 13.2 (r 2 = 0.98)<br />

Fig. 6.3 Logarithms <strong>of</strong> permeance P <strong>of</strong> Citrus aurantium CM measured at 25 ◦ C as a function<br />

<strong>of</strong> log Kcw <strong>of</strong> solutes (red circles). Log P plotted vs log Kcw/Vx is shown as green squares.<br />

Numbers refer to the test compounds used: 4-nitrophenol (1), 2,4-D (2), atrazine (3), 2,4,5trichlorophenoxyacetic<br />

acid (4), pentachlorophenol (5), hexachlorobenzene (6), perylene (7),<br />

diethylhexyl phthalate (8). The linear regression equation applies to the squares, with the exception<br />

<strong>of</strong> compounds 6 <strong>and</strong> 8 (grey squares). Data were replotted or recalculated from data given by<br />

Kerler <strong>and</strong> Schönherr (1988a, b). Vx is the equivalent molar volume <strong>of</strong> solutes in cm 3 mol −1<br />

5<br />

7<br />

7<br />

6<br />

8

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