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Question: The molar heat capacity of solid gold is given by the relation: \({C_{p,m}} = 25.69 - 7.32 \times ...

The molar heat capacity of solid gold is given by the relation:
Cp,m=25.697.32×104T+4.56×106T2{C_{p,m}} = 25.69 - 7.32 \times {10^{ - 4}}T + 4.56 \times {10^{ - 6}}{T^2} in units of JmolK{\text{J}} \cdot {\text{mol}} \cdot K, Calculate the entropy change for heating 2.52.5 moles of gold from 22C{22^\circ }C to 1000C{1000^\circ }C at constant pressure.
(A) 1001.9J/K1001.9J/K
(B) 100.9J/K100.9J/K
(C) 200J/K200J/K
(D) None of the above

Explanation

Solution

Hint
Entropy of a system is a measure of its uncertainty or randomness. It is the amount of energy of a body that is not available to perform any work. As entropy is a function of the state of a system, the change in its value depends upon the final and initial conditions of the system.
Formula used:ΔS=T1T2nCp,mTdT\Delta S = \int\limits_{{T_1}}^{{T_2}} {\dfrac{{n{C_{p,m}}}}{T}} dT, where n is the number of moles Cp,m{C_{p,m}} is the molar heat capacity, ΔS\Delta Sis the entropy change and TTis the temperature. This is when we assume a constant pressure.

Complete step by step answer
In this question we are asked to calculate the entropy change for some amount of gold, and the following data is provided:
Initial temperature T1=22C=22+273=295K{T_1} = {22^\circ }C = 22 + 273 = 295K
Final temperature T1=1000C=1000+273=1273K{T_1} = {1000^\circ }C = 1000 + 273 = 1273K
Number of moles of gold n=2.5n = 2.5moles
Molar heat capacity Cp,m=25.697.32×104T+4.56×106T2{C_{p,m}} = 25.69 - 7.32 \times {10^{ - 4}}T + 4.56 \times {10^{ - 6}}{T^2} JmolK{\text{J}} \cdot {\text{mol}} \cdot K
Remember to keep the units in the standard form. We know that the entropy change is given as:
ΔS=T1T2nCp,mTdT\Rightarrow \Delta S = \int\limits_{{T_1}}^{{T_2}} {\dfrac{{n{C_{p,m}}}}{T}} dT
Putting the value of Cp,m{C_{p,m}} and calculating the integral:
ΔS=T1T2n(25.697.32×104T+4.56×106T2)TdT\Rightarrow \Delta S = \int\limits_{{T_1}}^{{T_2}} {\dfrac{{n(25.69 - 7.32 \times {{10}^{ - 4}}T + 4.56 \times {{10}^{ - 6}}{T^2})}}{T}} dT
The constant n comes out of the integral. We also use the linearity property and split up the integral to calculate it easily:
ΔS=nT1T2(25.69T7.32×104+4.56×106T)dT\Rightarrow \Delta S = n\int\limits_{{T_1}}^{{T_2}} {\left( {\dfrac{{25.69}}{T} - 7.32 \times {{10}^{ - 4}} + 4.56 \times {{10}^{ - 6}}T} \right)} dT
ΔS=n[25.69lnT7.32×104T+4.56×106T22]T1T2\Rightarrow \Delta S = n\left[ {25.69\ln T - 7.32 \times {{10}^{ - 4}}T + {{\dfrac{{4.56 \times {{10}^{ - 6}}T}}{2}}^2}} \right]_{{T_1}}^{{T_2}}
To calculate the absolute value of this integral, we now put the values of temperature in the following equation:
ΔS=n[25.69ln(T2T1)7.32×104(T2T1)+4.56×106(T22T12)2]\Rightarrow \Delta S = n\left[ {25.69\ln (\dfrac{{{T_2}}}{{{T_1}}}) - 7.32 \times {{10}^{ - 4}}({T_2} - {T_1}) + \dfrac{{4.56 \times {{10}^{ - 6}}({T^2}_2 - {T_1}^2)}}{2}} \right]
ΔS=n[25.69ln(1273295)7.32×104(1273295)+2.28×106(127322952)]\Rightarrow \Delta S = n\left[ {25.69\ln (\dfrac{{1273}}{{295}}) - 7.32 \times {{10}^{ - 4}}(1273 - 295) + 2.28 \times {{10}^{ - 6}}({{1273}^2} - {{295}^2})} \right]
Solving this further gives us:
ΔS=n[25.69×1.467.32×104×978+2.28×106×1.5×106]\Rightarrow \Delta S = n\left[ {25.69 \times 1.46 - 7.32 \times {{10}^{ - 4}} \times 978 + 2.28 \times {{10}^{ - 6}} \times 1.5 \times {{10}^6}} \right]
ΔS=2.5×[37.560.71+3.52]\Delta S = 2.5 \times \left[ {37.56 - 0.71 + 3.52} \right]
This gives us the change in entropy as:
ΔS=2.5×40.37=100.9JK1\Rightarrow \Delta S = 2.5 \times 40.37 = 100.9J{K^{ - 1}}
Hence, the correct answer is option (B).

Note
We mentioned that the entropy is a measure of the randomness of a system. This abstract concept can be understood by imagining some water running out of a tank, or an incense candle lit up in another room with its smoke travelling everywhere. This happens when a spontaneous chain reaction is taking place, and the system goes from a compact, ordered state to a less ordered state. And this is how the entropy increases.