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You can find the full SOP and associated information here: Guidance to Calculate Representative Half-life Values and Characterizing Pesticide Degradation.

## Single First-Order Rate Model (SFO)

Ct = C0e-kt(equation 1)

Where, Ct = concentration at time t
C0 = initial concentration or percent applied radioactivity
e = base e
k = rate constant of decline 1/days
t = time

SFO is solved by adjusting C0 and k to minimize the objective function shown in equation 10:

DT50 = natural log (2)/k (equation 2)

DT90 = ln (10)/k (equation 3)

The linear form of the single first-order equation is shown in equation 4.

ln Ct = ln C0 - kt (equation 4)

where,
ln=natural log

The linear SFO equation is solved by adjusting C0 and k to minimize residuals.

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## Nth-Order Rate Model or Indeterminate Order Rate Equation Model (IORE)

C = [C0(1 - N) - (1 - N)kIOREt](1/(1 - N))(equation 5)

This model is solved by adjusting C0, kIORE, and N to minimize the objective function (SIORE) for IORE (see equation 10). An estimated SFO model input value using the IORE model is calculated by approximating the SFO model half-life that would have a DT90 that passes through the IORE DT90 and is estimated as shown in equation 6. Traditional DT50 and DT90 for the IORE model are calculated using equations 7 and 8.

tIORE = [log(2) C01-N(1-0.11-N)] / [log(10) (1-N)kIORE] (equation 6)

DT50 = [(C0/2)(1-N) - C0(1-N)] / [kIORE x (N-1)] (equation 7)

DT90 = [(C0/10)(1-N) - C0(1-N)] / [kIORE x (N-1)] (equation 8)

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## Double First-Order in Parallel (DFOP)

Ct = C0ge-k1t + C0(1 - g)e-k2t(equation 9)

Where g is the fraction of C0 applied to compartment 1
k1 = rate constant for compartment 1 in 1/days
k2 = rate constant for compartment 2 in 1/days

DFOP is solved by minimizing the objective function for DFOP (Equation 10) and solving for g, C0, k1, and k2. In Sigmaplot, C0 x g is equal to a and C0(1-g) = c. The equation is solved by changing a, c, k1, and k2 to minimize the objective function as described in equation 10. The g described in the NAFTA degradation kinetics document and in this document corresponds to the f in the R output. The g or f parameter from the DFOP fit indicates the fraction of the initial chemical that degrades at the fast rate.

Fast and slow DT50 and DT90 values are calculated using equations 3 and 4 and k1 or k2 in place of k. These fast and slow rates only describe a subset of the data. An overall value is reported in R based on the point on the curve where 50% of the chemical has declined.

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## Objective Function: SFO, IORE, and DFOP

Objective function Smodel = Σ(Cmodel - Cd)2(equation 10)

where

SSFO = objective function of the SFO fit to be minimized
SIORE = objective function of IORE fit to be minimized
SDFOP = objective function for DFOP fit to be minimized
Cmodel= modeled value at time corresponding to Cd
Cd = data

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## Critical Value to Determine Whether SFO Will Be Used to Estimate a Model Input Value

If SSFO is less than Sc, the SFO model is used to describe kinetics for modeling. If not, use IORE or DFOP for modeling.

Sc = SIORE [1 + (p/(n-p)) F (p,n - p,α)] (equation 11)

where

Sc = the critical value that defines the confidence contours
p = number of parameters, (3 in this case)
α = the confidence level (0.50 for this guidance)
F(a,b,c)= F distribution with a and b degrees of freedom and level of confidence c

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## Gustafson and Holden Model or FOMC Model

Ct = c0 / [(t/β) + 1]α(equation 12)

where:

α = shape parameter determined by coefficient of variation of k values
β = location parameter

This model is not solved using a regression model in EFED. Model parameters for FOMC are converted from IORE results using the following equations:

α = 1 / (N-1) (equation 13)

and

β = (c01-N) / [k(N-1)] (equation 14)

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