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采用代谢组学方法研究面粉类型和发酵过程对烘焙产品挥发性成分的影响。

Metabolomic approach to study the impact of flour type and fermentation process on volatile profile of bakery products.

机构信息

Department of Agricultural and Food Science and Technology (DISTAL), University of Bologna, Via Fanin, 50, 40127 Bologna, Italy.

Department of Agricultural and Food Science and Technology (DISTAL), University of Bologna, Via Fanin, 50, 40127 Bologna, Italy.

出版信息

Food Res Int. 2019 May;119:510-516. doi: 10.1016/j.foodres.2019.01.024. Epub 2019 Jan 11.

Abstract

Metabolomic approaches applied to fermented foods are at the state of the science and represent a robust and reliable approach to identify, quantify and characterise the biochemical profiles of raw materials and transformed products. The outcomes so far obtained are cornerstones to understand mainly nutritional and sensorial inherent features. Formulations of new bakery products with increased nutritional values is trending the market, but sensorial attributes still need to be improved to reach a wider audience. The present work describes the application of gas chromatography-mass spectrometry (GC-MS) and electronic nose analyses, to investigate over the volatilome of different bakery products, obtained from mature and immature grains (KAMUT® khorasan and durum wheat) and transformed by a sourdough made of Lactobacillus spp. and Saccharomyces cerevisiae. From the recipient results has emerged that the sensors used can distinguish the KAMUT® khorasan doughs fermented industrially at the fully ripe stage, the same doughs at the milky stage and KAMUT® khorasan sourdough at the fully ripe stage. Electronic nose allowed discriminating between different types of flours and GC-MS indicated the volatilome of sourdough KAMUT® khorasan case as the most promising. Thus, the combination of different independent variables in the bread process to improve the sensorial quality of the product, when is backed by metabolomics, represents an effective approach to study, characterise and exploit the sensorial quality of breads.

摘要

代谢组学方法应用于发酵食品处于科学研究的前沿,是一种强大而可靠的方法,可以识别、定量和描述原材料和转化产品的生化特征。迄今为止获得的结果是理解主要营养和感官固有特征的基石。具有更高营养价值的新型烘焙产品的配方是市场的趋势,但感官属性仍需要改进,以吸引更广泛的受众。本工作描述了应用气相色谱-质谱 (GC-MS) 和电子鼻分析来研究不同烘焙产品的挥发物组,这些产品是由成熟和不成熟的谷物(KAMUT®黑麦和硬质小麦)制成,并由乳酸菌和酿酒酵母制成的酸面团转化而成。从接收结果中可以看出,所使用的传感器可以区分在完全成熟阶段工业发酵的 KAMUT®黑麦面团、相同的面团在乳熟阶段和 KAMUT®黑麦酸面团在完全成熟阶段。电子鼻可以区分不同类型的面粉,GC-MS 表明 KAMUT®黑麦酸面团的挥发物组最有前景。因此,在代谢组学的支持下,在面包过程中组合不同的自变量以提高产品的感官质量,是一种研究、表征和利用面包感官质量的有效方法。

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