Characterization of Liposomes by High-Performance Thin-Layer Chromatography (HPTLC)

Seattle Genova has been working tremendously to provide services on the liposomes formation and characterization. Our scientists has developed a precise, high quality, and cost effective HPTLC to fulfil our customer’s research needs. Seattle Genova ensures to offer all parameters for the physical, chemical, and biological characterization of liposomes to share burden its customers by providing comprehensive services to its customers.

The incorporation efficiencies of the bioactive molecule and the drug to lipid molar ratio are critical elements for the evaluation of the liposomal formulation. In order to efficiently characterize a liposomal formulation, it's far vital in order to appropriately measure the lipids and the encapsulated molecule, the use of the smallest viable sample. HPTLC is a reliable, rapid and precise for quantitative drug evaluation. Many samples can be run simultaneously using a small amount of mobile phase, therefore minimizing evaluation time and cost per evaluation. It is especially beneficial for smaller, apolar compounds and gives a few advantages over HPLC. HPTLC is popular as a time-saving and economical technique that can be used with minimal hassle shootings. It accelerates evaluation work that is commonly not feasible with different parallel chromatographic techniques. It can be also carried out to “suspicious” samples that may without difficulty plug or even damage an HPLC column. Hence, it is perfect to analyze drug encapsulated in the liposomes and liposomes.

Qualitative and quantitative determination of all the lipid components which are involved in the liposome formulation, in addition to the drug incorporation and the drug–lipid ratio, through a simultaneous measurement of all of the liposomal components using thin-layer chromatography coupled with a flame ionization detector (HPTLC/FID). The method requires simplest one measurement consistent with sample, and it can be implemented even in very small or plenty diluted samples.