Determination of thermodynamic functions from scanning calorimetry data. II. For the system that includes self‐dissociation / association process
Determination of thermodynamic functions from scanning calorimetry data. II. For the system that includes self‐dissociation / association process
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从扫描量热数据确定热力学函数 II。
DOI：
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发表时间：
1988
期刊：
影响因子：
--
通讯作者：
A. Wada
中科院分区：
文献类型：
--
作者：
S. Kidokoro;H. Uedaira;A. Wada
给出了包括自解离/缔合过程（如{documentclassarticlepagestyleempty}egindocument {}{}$$ m_0 {
m A}_{
m 0} mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} m_1 {
m A}_{
m 1} mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} m_2 {
m A}_{
m 2} mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} ... mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} m_n {
m A}_n $$ enddocument{）在内的系统的摩尔分数与扫描量热数据之间的基本关系，其中mi为第i态Ai的化学计量系数。每个状态j的关系描述为}documentclassarticlepagestyleempty{}egindocument{}{}$$ frac{d}{{dT}}left[{- m_j log f_j (T) + sumlimits_i {m_i f_i (T)}}
ight] = Delta H_j (T)/RT^2 $$ enddocument{，其中fj(T)是状态j的摩尔分数函数，ΔHj(T)是系统与状态j相关的焓差函数，可以通过扫描量热法得到；R是气体常数；T是绝对温度。利用这些关系，可以对扫描量热数据进行反卷积，从而通过单次和双次反卷积来确定热力学函数。本文提出了一种分析数据浓度依赖性的方法。讨论了确定函数的非线性最小二乘拟合方法。以该方法应用于实际扫描量热数据为例，分析了副溶血性弧菌溶血素多态热转变的热力学数据。}
The basic relations between the molar fractions and the scanning calorimetry data for the system that includes self‐dissociation/association process such as documentclass{article}pagestyle{empty}egin{document}$$ m_0 {
m A}_{
m 0} mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} m_1 {
m A}_{
m 1} mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} m_2 {
m A}_{
m 2} mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} ... mathbin{lower.3exhbox{$uildrel extstyle
ightarrowover {smash{leftarrow}vphantom{_{vbox to.5ex{vss}}}}$}} m_n {
m A}_n $$end{document} are presented, where mi is the stoichiometric coefficient of the ith state Ai. The relations are described for each state j as documentclass{article}pagestyle{empty}egin{document}$$ frac{d}{{dT}}left[{- m_j log f_j (T) + sumlimits_i {m_i f_i (T)}}
ight] = Delta H_j (T)/RT^2 $$end{document} where fj(T) is the molar fraction function of state j and ΔHj(T) is the difference enthalpy function of the system referred to the state j, which can be obtained by scanning calorimetry; R is the gas constant; and T is the absolute temperature. By these relations, scanning calorimetry data can be deconvoluted in order to determine the thermodynamic functions by means of single and double deconvolution. The concentration dependence of the data is analyzed by a method presented in this paper. The nonlinear least squares fitting method for the determination of the functions is discussed. For an example of the application of this method to the actual scanning calorimetry data, thermodynamic data of multistate thermal transition of Vibrio parahaemolyticus hemolysin are analyzed.
链霉菌枯草杆菌蛋白酶抑制剂、枯草杆菌蛋白酶 BPN 和抑制剂-枯草杆菌蛋白酶复合物的热变性。
影响因子：
2.9
作者：
Takahashi,K;Sturtevant,JM
通讯作者：
Sturtevant,JM
葡萄球菌核酸酶的热变性。
影响因子：
2.9
作者：
Calderon,RO;Stolowich,NJ;Gerlt,JA;Sturtevant,JM
通讯作者：
Sturtevant,JM