Determination of Solute Descriptors for Illicit Drugs Using Gas Chromatographic Retention Data and Abraham Solvation Model Page: 66
viii, 88 pages : illustrations (some color)View a full description of this thesis.
Extracted Text
The following text was automatically extracted from the image on this page using optical character recognition software:
3.2 Discussion
3.2.1 Active Compounds for Each Column
After analysis of the data, the least square method was applied to characterize the
correlation between the LogtR (calculated) and the LogtR (experimental) in this study. Not all
data fit on the trend line, thus the outliers were removed by using the standard error bar for each
points. Table 3.8.1 to table 3.8.6 shows all effective or active compounds and all outliers that
were removed. The correlation coefficient of LogtR (calculated) and LogtR (experimental) got
better or increase close to 1 which indicated a better correlation between data when outliers are
removed. Below are the correlations between the experimental and calculated log for all six
columns with no outliers.
ZB Wax Plus
1.5
y = 1.0073x
R2 = 0.9605
N=59
-' 0.5
0
a
0.0
0.0 0.5 1.0 1.5
log (experimental)66
Upcoming Pages
Here’s what’s next.
Search Inside
This thesis can be searched. Note: Results may vary based on the legibility of text within the document.
Tools / Downloads
Get a copy of this page or view the extracted text.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Thesis.
Mitheo, Yannick K. Determination of Solute Descriptors for Illicit Drugs Using Gas Chromatographic Retention Data and Abraham Solvation Model, thesis, August 2015; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc804935/m1/75/: accessed July 17, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .