Bioactive metabolites identification of the foxnut and broken millet-based nutritional bar using HR-MS

IF 4.1 Q2 FOOD SCIENCE & TECHNOLOGY Food Chemistry Molecular Sciences Pub Date : 2024-07-17 DOI:10.1016/j.fochms.2024.100214
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Abstract

The by-products of the grain processing industry are a vital resource for the valorization methods in the food industry. In comparison to the whole grain, the broken kernels and seeds own similar nutrient and bioactive compounds having multifaceted health properties. This study aims to develop a nutritional bar by utilizing the by-products from barnyard millet and foxnut with added sweeteners. Furthermore, high-resolution mass spectrometry (HR-MS) metabolomics was carried out in positive and negative both ion modes to identify the major bioactive compounds formed in the matrix of the best-optimized valorized bar. The formulation of the bar having 15 % foxnut flour and the barnyard flour each, was elucidated highest rheological and sensory scores. A sum of 29 bioactive metabolites has been observed in the obtained metabolome. Major metabolites were palmitoyl serinol, glycitein, persin, bufagargarizin, apigenin, carvone, etc. covering a wide area in the mass spectrum. The therapeutic value of these compounds is heart health promotion, anti-inflammatory, anti-carcinogenic, anti-diabetic, anti-microbial, etc. This work highlights the bioactivity of the valorized nutritional bar employing robust and accurate tool of mass spectrometry. The developed snack is a functional food for the consumers.

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利用 HR-MS 鉴定狐猴果和小米营养棒的生物活性代谢物
谷物加工业的副产品是食品工业价值评估方法的重要资源。与整粒谷物相比,破碎的谷粒和种子拥有相似的营养和生物活性化合物,具有多方面的健康特性。本研究旨在利用稗子和狐狸果的副产品,并添加甜味剂,开发一种营养棒。此外,还采用正、负离子模式进行了高分辨质谱(HR-MS)代谢组学分析,以确定在最佳优化谷物棒基质中形成的主要生物活性化合物。通过流变学和感官评分,阐明了狐狸果粉和稗子粉各占 15% 的谷物棒配方。在获得的代谢组中,共观察到 29 种生物活性代谢物。主要代谢物有棕榈酰丝氨酸醇、甘草亭、柿皮苷、布法加利津、芹菜苷、香芹酮等,在质谱中的覆盖范围很广。这些化合物具有促进心脏健康、抗炎、抗癌、抗糖尿病、抗微生物等治疗价值。这项研究利用强大而准确的质谱分析工具,突出强调了有价营养棒的生物活性。所开发的零食对消费者来说是一种功能性食品。
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来源期刊
Food Chemistry Molecular Sciences
Food Chemistry Molecular Sciences Agricultural and Biological Sciences-Food Science
CiteScore
6.00
自引率
0.00%
发文量
83
审稿时长
82 days
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