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Liquid chromatography in pharmaceutical analytics

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Liquid chromatography in pharmaceutical analytics

This work is discussing the liquid chromatography (LC) in pharmaceutical analytics. High performance liquid chromatography (HPLC) is the popular technique for pharmaceutical analyses, like for example assay and impurities determination. There are many HPLC types, from which reversed-phase chromatography is the most widely used in pharmaceutical analyses. Fast liquid chromatography is discussed in this literary part. Methods can be speeded up by using appropriates columns. The conventional HPLC method is possible to be speeded up using short columns or columns with small particle packing. The most effective way is to use the core-shell column. If the ultra-high performance liquid chromatography (UHPLC) technique is available, most of the conventional LC methods can be transferred to extra fast separation LC methods without losing required characteristics in pharmaceutical analysis. Work presents several detectors that are possible to be coupled with the liquid chromatography. The common detectors are UV/Vis detectors and photodiode array detectors (PDA). Work focuses on the aerosol-based detectors and comparison of their performance because these detectors are universal: the giving response is for any analyte, not only for a certain class of compounds. The aerosol-based detectors are charged aerosol detector (CAD), evaporative light scattering detector (ELSD) and condensation nucleation light scattering detector CNLSD (nano quantity analyte detector, NQAD). Many literature examples of the detector performance are presented. Each aerosol-based detector is practical solution for detection of universal compounds and each one detected all pharmaceutical compounds with sufficient accuracy and sensitivity in the discussed studies. However, CAD and CNLSD/NQAD have better characteristic results, like accuracy and sensitivity than ELSD. But, CAD may be easier to operate than CNLSD/NQAD, which may be complex to operate and it may have tendency to analyte dependent.

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