The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 89-379
Full Name: Stanislava Labatova
Position: Please, select:
Age: ON
Sex: Female
Address: Bratislava, Dubravska 9
Country: SLOVAKIA
Tel: 59411193
Tel prefix: 421-2
Fax: 54773271
E-mail address: utrrlabt@savba.sk
Other E-mails: stanislava.labatova@savba.sk
Title of the Paper: Linear Multiple Regression Model of High Performance Liquid Chromatography
Authors as they appear in the Paper: Stanislava Labatova
Email addresses of all the authors: utrrlabt@savba.sk
Number of paper pages: 10
Abstract: Abstract: - The multiple regression analysis is proposed as method for presentation results of high performance liquid chromatography (HPLC), which simultaneously depends on several parameters. The coefficients of linear multiple regression model are assessed by the least square method. In this way dependent variable – retention volume – is expressed by more than one explanatory variable (i.e. by the molar mass, concentrations of eluent and temperature). The approach was to depict dependences of retention volumes on molar mass of polystyrene probes in tetrahydrofuran (THF) and in mixed eluents THF plus dimethylformamide eluents on the silica gel alkyl bonded column packing. The dependences retention volumes on molar mass, concentrations of eluent and are shown.
Keywords: Multiple regressionanalysis, model specification, High Performance Liquid Chromatography, Calibration curves
EXTENSION of the file: .doc
Special (Invited) Session: Multiple regression for High Performance Liquid Chromatography Data Processing
Organizer of the Session: 626-356
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