Determination of Solute Descriptors for Illicit Drugs Using Gas Chromatographic Retention Data and Abraham Solvation Model Page: 33
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:
Oxycodone H3c.0 C18H21NO4 315.36 501
N-C H
OH
Ketamine C13H16C1NO 237.72 262
H
Heroin(diacetyl HC o C21H23NO5 369.41 273
morphine)I8
0 N-CH
Nicotine C10H14N2 162.23 247
H3C-N
Chemical compounds in Table 2.2 have some similar functional groups to the drug
compounds in Table 2.3. HPLC grade (Spectrum chemical Mfg.Corp.), analytical grade
dichloromethane (Spectrum chemical Mfg.Corp.), DMSO, ACN are solvents used to dissolved
drug samples and compounds. Once the retention time of each compound is obtained, equation
(2) is used to solve Abraham solvation parameter model with the retention time of each
compound using the experimental gas-to liquid partition coefficients data( E,S,A,B,L,V) from
literature [49-52]. The software utilized to calculate the process coefficients by multiple linear
regression analysis (MLRA) is the statistical package for social science (SPSS). The SPSS is
software for managing data and calculate a wide variety of statistics. With the use of SPSS, the
processes coefficients are obtained, then the log of calculated retention time are found. Multiple33
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/m1/42/: accessed July 17, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .