scholarly journals Chemometric estimation of the retention behavior of selected estradiol derivatives

2015 ◽  
pp. 219-227 ◽  
Author(s):  
Milica Karadzic ◽  
Davor Loncar ◽  
Lidija Jevric ◽  
Sanja Podunavac-Kuzmanovic ◽  
Strahinja Kovacevic ◽  
...  
Keyword(s):  
High Performance ◽  
Predictive Ability ◽  
Chromatographic Behavior ◽  
Retention Behavior ◽  
Statistical Parameters ◽  
Estradiol Derivatives ◽  
Structure Retention ◽  
Layer Chromatography ◽  
Quantitative Structure Retention Relationship

Quantitative structure-retention relationship (QSRR) analysis has been performed in order to correlate the retention of selected estradiol derivatives with their calculated molecular lipophilicity. The lipophilicity descriptors were derived computationally and most important were selected. Linear regression (LR) Wad used for model establishing. Statistical quality of the generated models was determined by standard statistical and crossvalidation statistical parameters. Statistically significant and physically meaningful models were obtained. The prediction results are very well correlated with the experimentally observed data. Given predictive ability of the established models indicates that they could be used for predicting the chromatographic behavior of the similar molecules in normal-phase high-performance thin-layer chromatography.

scholarly journals Estimation of chromatographic lipophilicity of some D-homo androstene derivatives

2015 ◽  
pp. 249-258
Author(s):  
Nada Perisic-Janjic ◽  
Katarina Penov-Gasi ◽  
Evgenija Djurendic ◽  
Marina Savic ◽  
Strahinja Kovacevic ◽  
...  
Keyword(s):  
High Performance ◽  
Predictive Ability ◽  
Reversed Phase ◽  
Chromatographic Retention ◽  
Acetone Water ◽  
Validation Parameters ◽  
Structure Retention ◽  
Leave One Out ◽  
Layer Chromatography ◽  
Quantitative Structure Retention Relationship

Quantitative structure-retention relationship (QSRR) method was applied to study the chromatographic behaviour of D-homo-androstene derivatives 1-7. Retention constants (RM 0) of the analysed derivatives were determined by reversed-phase high-performance thin-layer chromatography (RP HPTLC) on C18 plates by using four mobile phase mixtures: methanol-water, acetone-water, acetonitrile-water, and dioxane-water. Correlation analysis based on multiple regression method was applied in order to model chromatographic retention by means of nine different lipophilicity descriptors (logP). The developed QSRR models were cross-validated and high-quality validation parameters were obtained by leave-one-out method. It was found that the derived QSRR models have a good predictive ability.

scholarly journals Fingerprint Study of Curcuma xanthorrhiza Rhizome by High Performance Thin Layer Chromatography (HPTLC)

2016 ◽  
Vol 1 (2) ◽  
pp. 9-14
Author(s):  
Tina Wikara ◽  
Anny Sulistiowaty ◽  
Sri Murhandini ◽  
Tepy Usia
Keyword(s):  
High Performance ◽  
Phytochemical Analysis ◽  
Hptlc Plate ◽  
Spot Detection ◽  
Ich Guidelines ◽  
Curcuma Xanthorrhiza ◽  
Layer Chromatography ◽  
Chloroform Methanol

The rhizome of Curcuma xanthorrhiza Roxb is intensively used in Indonesia as traditional medicine. It is widely used for hepatoprotective and anti inflammatory activities. To ensure the quality of its extract, we have studied the fingerprint or phytochemical analysis. This research was aimed to produce a chromatogram profile of the rhizome by HPTLC. The HPTLC fingerprint chromatogram of C. xanthorrhiza rhizome was performed using HPTLC plate of silica gel 60 F254 as the stationary phase and chloroform-methanol (97:3) as the mobile phase. Spot detection was carried out by TLC photo documentary system at 254 and 366 nm and TLC scanner at 427 nm. The developed method was validated according to ICH guidelines by determination of specificity and precision. We found that the specifity and precission of the method were met the acceptance criteria. In conclusion, the developed method is valid and could be used for quality control and standardization of herbal medicine containing C. xanthorrhiza rhizome.

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