Abstract:
The aim of this study was to valorize Thymus serpyllum L. herbal dust, the particular
fraction distinguished as industrial waste from filter-tea production. This work demonstrated
comparable analysis considering model fitting, influence analysis and optimization of microwaveassisted
extraction (MAE) of bioactive compounds from the aforementioned herbal dust using
face-centered central composite experimental design within the response surface methodology (RSM),
as well as artificial neural networks (ANN). In order to increase yield and amount of compounds of
interest and minimize solvent, time and energy consumption, the ethanol concentration (45, 60 and
75%), extraction time (5, 12.5 and 20 min), liquid–solid ratio (10, 20 and 30 mL/g) and irradiation
power (400, 600 and 800 W) were used as independent variables. Total extraction yield (Y), total
phenols yield (TP), as well as antioxidant activity parameters obtained by DPPH and ABTS assays,
were selected as responses. It could be concluded that the MAE technique is an efficient approach for
the extraction of biologically active compounds from T. serpyllum herbal dust, which represents a
high-value source of natural antioxidants with great potential for further use in various forms within
different branches of industry.
