Akhtar Naheed, Siddiqui Amna Jabbar, Ramzan Muhammad, Uddin Jalal, Asmari Mufarreh, El-Seedi Hesham R, Musharraf Syed Ghulam
H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
Plants (Basel). 2024 May 10;13(10):1311. doi: 10.3390/plants13101311.
Polyphenolic compounds are vital components of plants. However, their analysis is particularly difficult and challenging due to their similar chemical and structural properties. In this study, we developed a simple and reproducible HPLC-DAD protocol for determining nineteen pharmacologically important polyphenols in plant-based food samples, including fruits (apple, banana, grapefruit, peach, grapes, plum, and pear), vegetables (onion, cabbage, capsicum, garlic, lemon, tomato, potato, and spinach), and other edible items (corn, kidney beans, green tea, black tea, and turmeric). The reference standards were pooled into four different groups based on logP values and expected retention time to avoid compound co-elution. These developed methods will be useful for the qualitative and quantitative analysis of biologically important polyphenolic compounds in various food samples and botanicals.
多酚类化合物是植物的重要组成部分。然而,由于它们相似的化学和结构性质,其分析特别困难且具有挑战性。在本研究中,我们开发了一种简单且可重复的HPLC-DAD方法,用于测定植物性食品样品中的19种具有重要药理作用的多酚,这些样品包括水果(苹果、香蕉、葡萄柚、桃子、葡萄、李子和梨)、蔬菜(洋葱、卷心菜、辣椒、大蒜、柠檬、番茄、土豆和菠菜)以及其他可食用物品(玉米、芸豆、绿茶、红茶和姜黄)。根据logP值和预期保留时间,将参考标准品分为四个不同的组,以避免化合物共洗脱。这些开发的方法将有助于对各种食品样品和植物药中具有重要生物学意义的多酚类化合物进行定性和定量分析。