Dadan Magdalena, Rybak Katarzyna, Wiktor Artur, Nowacka Malgorzata, Zubernik Joanna, Witrowa-Rajchert Dorota
Department of Food Engineering and Process Management, Faculty of Food Sciences, Warsaw University of Life Sciences, Nowoursynowska 159c, 02-776 Warsaw, Poland.
Food Chem. 2018 Jan 15;239:242-251. doi: 10.1016/j.foodchem.2017.06.061. Epub 2017 Jun 10.
Parsley leaves contain a high amount of bioactive components (especially lutein), therefore it is crucial to select the most appropriate pre-treatment and drying conditions, in order to obtain high quality of dried leaves, which was the aim of this study. The optimization was done using response surface methodology (RSM) for the following factors: microwave power (100, 200, 300W), air temperature (20, 30, 40°C) and pre-treatment variant (ultrasound, steaming and dipping as a control). Total phenolic content (TPC), antioxidant activity, chlorophyll and lutein contents (using UPLC-PDA) were determined in dried leaves. The analysed responses were dependent on the applied drying parameters and the pre-treatment type. The possibility of ultrasound and steam treatment application was proven and the optimal processing conditions were selected.
欧芹叶含有大量生物活性成分(尤其是叶黄素),因此,为了获得高质量的干叶,选择最合适的预处理和干燥条件至关重要,这也是本研究的目的。使用响应面法(RSM)对以下因素进行优化:微波功率(100、200、300W)、空气温度(20、30、40°C)和预处理方式(超声、蒸煮和浸渍作为对照)。测定了干叶中的总酚含量(TPC)、抗氧化活性、叶绿素和叶黄素含量(使用超高效液相色谱-光电二极管阵列检测器)。分析的响应取决于所应用的干燥参数和预处理类型。证明了超声和蒸汽处理应用的可能性,并选择了最佳加工条件。