Bener Mustafa
Division of Analytical Chemistry, Department of Chemistry, Faculty of Engineering, Istanbul University-Cerrahpasa, Avcilar, 34320 Istanbul, Turkey.
Food Sci Biotechnol. 2019 Oct 11;28(6):1733-1745. doi: 10.1007/s10068-019-00687-5. eCollection 2019 Dec.
Response surface methodology was used for modeling and optimizing microwave-assisted extraction of antioxidants from L. as a factor of temperature, extraction time, solvent concentration, and solvent-to-solid ratio. The prepared extracts showed maximum antioxidant properties, including total phenolic content (TPC), total antioxidant capacity (TAC), and radical scavenging activity (RSA) at the optimum operating conditions. All models calculated for the three responses that are TPC, TAC, and RSA were noteworthy ( < 0.0001) and showed a significant relationship between the response and independent parameters. There was a close relationship between the experimental and the predicted values obtained using the proposed method. The phenolic antioxidant profile of L. extract was characterized with the UPLC-PDA-ESI-MS/MS system and rosmarinic acid was found as a major component (1089.2 ± 10.9 mg/100 g-DS). In the future, this optimized and modeled MAE method can be applied in food and pharmaceutical industries to effectively extract antioxidants from edible L. plant.
采用响应面法对从[植物名称未给出]中微波辅助提取抗氧化剂进行建模和优化,考察温度、提取时间、溶剂浓度和料液比等因素。在最佳操作条件下,制备的提取物表现出最大的抗氧化性能,包括总酚含量(TPC)、总抗氧化能力(TAC)和自由基清除活性(RSA)。针对TPC、TAC和RSA这三个响应计算的所有模型均值得关注(P<0.0001),表明响应与独立参数之间存在显著关系。所提方法得到的实验值与预测值之间存在密切关系。采用超高效液相色谱-光电二极管阵列-电喷雾串联质谱系统对[植物名称未给出]提取物的酚类抗氧化剂谱进行了表征,发现迷迭香酸是主要成分(1089.2±10.9mg/100g干基)。未来,这种经过优化和建模的微波辅助提取方法可应用于食品和制药行业,以有效地从可食用的[植物名称未给出]植物中提取抗氧化剂。