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This page concentrates on a classical systematic error in PLC: the falsified quality value “Rf”. By the Rf value PLC users express qualitative results. The linear Rf value for substance “x” = s / f See figure 1 below.
f = length of the mobile phase path developed from start to front. s = the path length the substance x was moved until the PLC run stopped.
The main reason to concentrate here in all details on the Rf value error is the fact, that its correction allows to use PLC-k-values which are comparable with HPLC-k-values. If the mobile and stationary phases in HPLC are exactly equal in PLC, the HPLC-k-value corresponds with the PLC-k-value. Although both differ by value it becomes evident that the two liquid chromatography techniques can support each other qualitatively. Due to the very limited separation efficiency of both if compared to modern micro gas chromatography a both sides support of these sister techniques is good to avoid serious systematic qualitative errors. As the life combination of HPLC with PLC is a next and powerful bridge to gap error trouble, an equal “language” for both techniques is mandatory. For this the Rf value fails.
For qualitative PLC and qualitative HPLC isocratic separation techniques are preferable. In this case qualitative HPLC data are time or volume based. The best quality value is k = residence time in the stationary phase over the residence time in the mobile phase: k = ts / tm .
It is not immediately visible, that PLC data are also time based. But this is shown in the figures below.
Especially helpful in PLC is the comparison and the simultaneous use of linear, circular and anti circular PLC. Circular techniques are not available in HPLC. NOTE that HPLC is blind to detect substances which chemisorb or very strongly adsorb in the stationary phase, that is for substances with HPLC-k-values of over 1000. Especially circular PLC with enlarged separation power for substances with higher PLC-k-values can help HPLC users. Substances with very large HPLC-k-values remain often fixed in the HPLC column, that is: remain invisible. PLC allows to make substances with extreme large k-values visible Whilst a PLC information about substances with extreme k-values changes HPLC quantitation techniques towards quantitative inner standard modes, anti circular PLC data may help to avoid HPLC errors hidden under peaks with very small k-values. Thus all circular PLC techniques are most important for HPLC users.
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