Chemical investigation of many bacterial and fungal, as well as plant species has revealed the presence of interesting compounds derived from naphthalene – 1,4-naphthoquinones and rarely also 1,2-naphthoquinones. They were detected in many species of families Bignoniaceae, Droseraceae, Plumbaginace, Boraginaceae, Juglandaceae as well as in species of small families, such as Dioncophyllaceae or Acanthaceae. Naphthoquinones have very interesting spectrum of biological actions, including antibiotic, antiviral, anti-inflammatory, antipyretic, antiproliferative and cytotoxic effects. Because of these properties the plants containing them are used in folk medicines, mainly by natives in Asia, where especially Chinese medicine uses aerial as well as subterranean parts of these plants for hundreds years, and South America. The utilizing of naphthoquinones for medicinal purposes and their occurrence in nature is reviewed and discussed. Moreover, we review analytical techniques using for their analysis.

The aim of this study was to describe behaviour, kinetics, time courses and limitations of the six different fully automated spectrometric methods - DPPH, TEAC, FRAP, DMPD, Free Radicals and Blue CrO₅. Absorption curves were measured and absorbance maxima were found. All methods were calibrated using the standard compounds Trolox^® and/or gallic acid. Calibration curves were determined (relative standard deviation was within the range from 1.5 to 2.5 %). The obtained characteristics were compared and discussed. Moreover, the data obtained were applied to optimize and to automate all mentioned protocols. Automatic analyzer allowed us to analyse simultaneously larger set of samples, to decrease the measurement time, to eliminate the errors and to provide data of higher quality in comparison to manual analysis. The total time of analysis for one sample was decreased to 10 min for all six methods. In contrary, the total time of manual spectrometric determination was approximately 120 min. The obtained data provided good correlations between studied methods (R = 0.97 – 0.99).