4. Adsorption Isotherm Curve The low pressure (beginning region) of an adsorption isotherm curve can be approximated with a linear equation of the form. X = KP; The data in the table below provides laboratory measure values of the partial pressure of an adsorbate Pi versus the mass fraction of adsorbate on the adsorbent X*. + Pcc (mm Hg) 0 2 3.5 5 7 10 0 0.084 0.15 0.27 0.38 0.525 Determine the value of K for the equation above using the data in the table, and also provide the r-squared value of this linear equation. Value of Kin equation above. r-squared value from linear equation fit.

Introduction to Chemical Engineering Thermodynamics
8th Edition
ISBN:9781259696527
Author:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Publisher:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
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4. Adsorption Isotherm Curve
The low pressure (beginning region) of an adsorption isotherm curve can be
approximated with a linear equation of the form. X
=
KP; The data in the table
below provides laboratory measure values of the partial pressure of an adsorbate Pi
versus the mass fraction of adsorbate on the adsorbent X*.
+
Pcc (mm Hg)
0
2
3.5
5
7
10
0
0.084
0.15
0.27
0.38
0.525
Determine the value of K for the equation above using the data in the table, and also
provide the r-squared value of this linear equation.
Value of Kin equation above.
r-squared value from linear equation fit.
Transcribed Image Text:4. Adsorption Isotherm Curve The low pressure (beginning region) of an adsorption isotherm curve can be approximated with a linear equation of the form. X = KP; The data in the table below provides laboratory measure values of the partial pressure of an adsorbate Pi versus the mass fraction of adsorbate on the adsorbent X*. + Pcc (mm Hg) 0 2 3.5 5 7 10 0 0.084 0.15 0.27 0.38 0.525 Determine the value of K for the equation above using the data in the table, and also provide the r-squared value of this linear equation. Value of Kin equation above. r-squared value from linear equation fit.
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