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Benesi-Hildebrand Plot.

Benesi-Hildebrand Plot.

Introduction to Chemical Engineering Thermodynamics
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
Chapter1: Introduction
Section: Chapter Questions
Problem 1.1P
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Create a Benesi-Hildebrand Plot. To do this, plot the data of 1/(F-F0) (y-axis) vs. 1 X- (F-F0) Ka(Foo-F0) [CD]° (Foo-F0) 1 1/[CD]0 (x-axis). Fit the data to Equation The fitting parameters of the data to a straight-line equation (y = mx + b) should allow you to calculate Ka. Take care with units, concentrations will need to be M when reporting the Ka value. [ME-b-CD] X ul of ME-b-CD ul of ANS Y ul of Fluorescence (mM) (20mM) (0.4mM) PBS [CD] mM intensity F- FO 0. 500 1500 0. 0.37 1 100 500 1400 9.426 9.056 200 500 1300 2. 16.76 16.39 3 300 500 1200 3. 22.621 22.251 4. 400 500 1100 4. 27.496 27.126 .500 500 1000 5. 30.573 30.203 6. 600 500 900 6. 34.344 33.974 700 500 800 7. 36.991 36.621 8. 800 500 700 8. 38.478 38.108 900 500 600 9. 41.012 40.642 10 1000 500 500 10 43.769 43.399 12 1200 500 300 12 45.64 45.27 14 1400 500 100 14 47.52 47.15 15 1500 500 15 48.359 47.989
Transcribed Image Text:Create a Benesi-Hildebrand Plot. To do this, plot the data of 1/(F-F0) (y-axis) vs. 1 X- (F-F0) Ka(Foo-F0) [CD]° (Foo-F0) 1 1/[CD]0 (x-axis). Fit the data to Equation The fitting parameters of the data to a straight-line equation (y = mx + b) should allow you to calculate Ka. Take care with units, concentrations will need to be M when reporting the Ka value. [ME-b-CD] X ul of ME-b-CD ul of ANS Y ul of Fluorescence (mM) (20mM) (0.4mM) PBS [CD] mM intensity F- FO 0. 500 1500 0. 0.37 1 100 500 1400 9.426 9.056 200 500 1300 2. 16.76 16.39 3 300 500 1200 3. 22.621 22.251 4. 400 500 1100 4. 27.496 27.126 .500 500 1000 5. 30.573 30.203 6. 600 500 900 6. 34.344 33.974 700 500 800 7. 36.991 36.621 8. 800 500 700 8. 38.478 38.108 900 500 600 9. 41.012 40.642 10 1000 500 500 10 43.769 43.399 12 1200 500 300 12 45.64 45.27 14 1400 500 100 14 47.52 47.15 15 1500 500 15 48.359 47.989
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