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首页> 外文期刊>Japanese journal of applied physics >Ultrasound-assisted extraction of sucrose, glucose, and fructose from roselle seeds
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Ultrasound-assisted extraction of sucrose, glucose, and fructose from roselle seeds

机译:超声波辅助提取玫瑰茄种子中的蔗糖,葡萄糖和果糖

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摘要

Roselle seeds were utilized as a resource to extract saccharides. The components of the seeds extracted with water were characterized by gas chromatography-mass spectrometry (GC-MS). The result showed that the monosaccharides fructose, glucose, and galactose were extracted. The ultrasound-assisted extraction of saccharides was performed at different frequencies of 26, 78, and 130 kHz. For comparison, the conventional mixing method was used for the extraction. The effect of frequency on the total amount of extracted saccharides was unclear. However, the obtained results showed the existence of an enzymatic system that converts sucrose to fructose and glucose. The positive effect of ultrasound on sucrose hydrolysis was observed at 26 kHz. The components extracted with methanol were also analyzed by GC-MS to determine the existence of this enzymatic system in water. By comparing the components extracted by water with those extracted by methanol, the progress of the hydrolysis of the disaccharide to the monosaccharides in water was confirmed. (C) 2018 The Japan Society of Applied Physics.
机译:玫瑰茄种子被用作提取糖类的资源。用水萃取的种子的成分通过气相色谱-质谱(GC-MS)进行表征。结果表明,提取了单糖果糖,葡萄糖和半乳糖。超声辅助提取糖的频率为26、78和130 kHz。为了比较,使用常规混合方法进行提取。频率对提取糖总量的影响尚不清楚。然而,获得的结果表明存在将蔗糖转化为果糖和葡萄糖的酶促系统的存在。在26 kHz观察到超声波对蔗糖水解的积极影响。还用GC-MS分析了用甲醇萃取的成分,以确定该酶体系在水中的存在。通过将水提取的成分与甲醇提取的成分进行比较,可以确定水中二糖水解为单糖的过程。 (C)2018年日本应用物理学会。

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  • 来源
    《Japanese journal of applied physics》 |2018年第7s1期|07LE08.1-07LE08.4|共4页
  • 作者单位

    Osaka Prefecture Univ, Grad Sch Engn, Sakai, Osaka 5998531, Japan;

    Osaka Prefecture Univ, Coll Sustainable Syst Sci, Sakai, Osaka 5998531, Japan;

    Osaka Prefecture Univ, Grad Sch Humanity & Sustainable Syst Sci, Sakai, Osaka 5998531, Japan;

    Osaka Prefecture Univ, Grad Sch Humanity & Sustainable Syst Sci, Sakai, Osaka 5998531, Japan;

    Osaka Prefecture Univ, Grad Sch Humanity & Sustainable Syst Sci, Sakai, Osaka 5998531, Japan;

    Osaka Prefecture Univ, Grad Sch Humanity & Sustainable Syst Sci, Sakai, Osaka 5998531, Japan;

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