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Stability of Drugs and Dosage Forms Sumie Yoshioka

Stability of Drugs and Dosage Forms Sumie Yoshioka

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72 Chapter 2 • Chemical <strong>Stability</strong> <strong>of</strong> Drug Substances<br />

For example, the following relationships were employed by Rogers 322<br />

Stelmach,323 respectively:<br />

<strong>and</strong> Eriksen <strong>and</strong><br />

(2.85)<br />

(2.86)<br />

In these equations, T 0 <strong>and</strong> T are the temperatures at time zero <strong>and</strong> time t, respectively, <strong>and</strong><br />

b <strong>and</strong> a are constants. Assuming that the temperature changes according to Eq. (2.86), a rate<br />

equation obtained by combining the first-order rate equation, Eq. (2.12), with Eq. (2.84) can<br />

be integrated to give Eq. (2.87). The estimates <strong>of</strong> E a <strong>and</strong> k T0 (rate constant at T 0 ) can be<br />

obtained by fitting the drug concentration versus time data to the following equation:<br />

(2.87)<br />

Estimations using Eq. (2.87) <strong>and</strong> variants <strong>of</strong> this equation were performed manually with limited<br />

temperature programs <strong>and</strong> were not generally applicable to drug degradation studies. 324,325<br />

New analysis methods using flexible temperature programs have been reported with the<br />

increasing availability <strong>of</strong> computers to facilitate subsequent calculations. Zoglio <strong>and</strong> coworkers<br />

326-328 proposed a method for obtaining optimal kinetic parameters. They described<br />

the degradation versus time curve as a function <strong>of</strong> E a by using the arithmetic mean <strong>of</strong> an<br />

individual rate constant at time t as the mean rate constant <strong>and</strong> by representing temperature<br />

change in terms <strong>of</strong> a linear or polynomial expression. 326-328 Kay <strong>and</strong> Simon performed this<br />

estimation using an analog computer. 329 Edel <strong>and</strong> Baltzer applied a stepped heating program<br />

to this method. 330<br />

In contrast to these approximate methods, the nonlinear regression methods reported<br />

by Madsen et al. 331 <strong>and</strong> Tucker <strong>and</strong> Owen 332 utilized numerical integration <strong>of</strong> Eq. (2.88),<br />

which is obtained from the general rate equation (Eq. 2.11) <strong>and</strong> Eq. (2.84). Equation (2.88)<br />

becomes Eq. (2.89) for first-order degradation kinetics.<br />

(2.88)<br />

(2.89)<br />

Hempenstall et al. 333 reported a calculation method that can be performed by simple<br />

computers, whereby the degradation curve is represented by a polynomial equation in order<br />

to easily obtain a rate constant k T at a temperature T. Using Eq. (2.90), k T can be represented<br />

by Eq. (2.91) in the case <strong>of</strong> first-order degradation kinetics. Inserting the coefficients a 0 , a 1 ,<br />

. . . , a n , [which are obtained by fitting the drug concentration versus time data to Eq. (2.90)]

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