利用定向 LC-MS/MS 对谷物中的木质素植物雌激素进行最佳提取条件和定量分析

Yoonjeong Kim, Heon-Woong Kim, J. Sung, Younghwa Kim
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摘要

木酚素是一种植物雌激素,在豆制品、豆类、谷物、坚果、蔬菜和水果等多种食物中以苷类、酯链低聚物和苷元等多种形式存在。本研究旨在利用响应面方法学(RSM)优化谷物中木酚素的提取。采用高效液相色谱-串联质谱法对木酚素进行了定量分析,包括 secoisolariciresinol (Seco)、matairesinol (Mat)、pinoresinol (Pin)、lariciresinol (Lar) 和 syringaresinol (Syr)。采用方框-贝肯设计法确定了三个萃取参数的最佳值:温度(X1:20°C-60°C)、甲醇浓度(X2:60%-100%)和萃取时间(X3:30-90 分钟)。在 X1 = 44.24°C、X2 = 84.64% 和 X3 = 53.63 分钟时,木质素含量最高。为了将这些实验条件应用到实际实验中,将最佳条件略微调整为 X1 = 40°C,X2 = 80%,X3 = 60 分钟。预测结果与使用修改后的最佳提取条件得出的实验结果非常吻合。大麦芽中的木质素含量最高(85.930 μg/100 g),但大多数谷物中的木质素含量相对较低。这些发现为了解谷物中的木质素含量提供了宝贵的信息,有助于在这一领域生成可靠的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal extraction conditions and quantification of lignan phytoestrogens in cereal grains using targeted LC-MS/MS
Lignans are phytoestrogens found in various forms such as glycosides, ester-linked oligomers, and aglycones in a variety of foods, including soy products, legumes, grains, nuts, vegetables, and fruits. This study aimed to optimize the extraction of lignans from cereal grains using response surface methodology (RSM). Lignans, including secoisolariciresinol (Seco), matairesinol (Mat), pinoresinol (Pin), lariciresinol (Lar), and syringaresinol (Syr), were quantified using high-performance liquid chromatography–tandem mass spectrometry. A Box–Behnken design was employed to determine the optimal values for three extraction parameters: temperature (X1: 20°C–60°C), methanol concentration (X2: 60%–100%), and extraction time (X3: 30–90 min). The highest lignan contents were obtained at X1 = 44.24°C, X2 = 84.64%, and X3 = 53.63 min. To apply these experimental conditions to the actual experiment, the optimal conditions were slightly adjusted to X1 = 40°C, X2 = 80%, and X3 = 60 min. The predicted results closely matched the experimental results obtained using the modified optimal extraction conditions. The highest lignan content found in barley sprouts (85.930 μg/100 g), however, most grains exhibited relatively low concentrations of lignans. These findings provide valuable insights into the lignan content of grains and contribute to the generation of reliable data in this field.
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