Department of Food Engineering and Technology, Sant Longowal Institute of Engineering and Technology (Deemed-to-be-University), Longowal 148106, Punjab, India.
Department of Food Engineering and Technology, Sant Longowal Institute of Engineering and Technology (Deemed-to-be-University), Longowal 148106, Punjab, India.
Food Res Int. 2021 Feb;140:110041. doi: 10.1016/j.foodres.2020.110041. Epub 2020 Dec 24.
The present investigation aims to examine the polyphenolic composition and antioxidant capacity of bee pollen samples procured from various regions of India. Total phenolic (TPC) and flavonoid (TFC) content ranged from 15.50 ± 1.25-25.63 ± 1.42 mg GAE/g and 9.72 ± 0.28-15.61 ± 0.74 mg RE/g, respectively. Coriander pollen showed the significantly (p < 0.05) higher antioxidant activity than other samples, demonstrated by DPPH radical scavenging activity (93.75 ± 0.05%), ferric reducing antioxidant power (103.98 ± 0.82 mmol Fe/g), ABTS radical scavenging activity (96.58 ± 0.65%) and metal chelating activity (84.62 ± 4.37%). The observed antioxidant properties were strongly correlated with TPC and effectively predicted using artificial neural network. Sixty polyphenolic compounds including 38 flavonoids and derivatives, 21 phenolic acid and derivatives and one glucosinolates were identified using UHPLC-DAD-MS/MS wherein the presence of daidzein and sinigrin was acknowledged for the first time. Further, principal component analysis identified three principal components, illustrating 91.24% of total variation to differentiate the pollen samples which were also classified by hierarchical cluster analysis.
本研究旨在检测来自印度不同地区的蜂花粉样品的多酚组成和抗氧化能力。总酚（TPC）和类黄酮（TFC）含量分别为 15.50±1.25-25.63±1.42mg GAE/g 和 9.72±0.28-15.61±0.74mg RE/g。芫荽花粉的抗氧化活性显著高于其他样品（p<0.05），其 DPPH 自由基清除活性（93.75±0.05%）、铁还原抗氧化能力（103.98±0.82mmol Fe/g）、ABTS 自由基清除活性（96.58±0.65%）和金属螯合活性（84.62±4.37%）均有所体现。观察到的抗氧化特性与 TPC 密切相关，可使用人工神经网络进行有效预测。使用 UHPLC-DAD-MS/MS 鉴定了 60 种多酚化合物，包括 38 种类黄酮和衍生物、21 种酚酸和衍生物以及一种硫代葡萄糖苷，其中首次确认了大豆苷元和芥子油苷的存在。此外，主成分分析确定了三个主成分，解释了总变异的 91.24%，以区分花粉样品，也可通过层次聚类分析进行分类。
