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首页> 外文期刊>Journal of Cereal Science >Evaluation of different variables on the supercritical CO2 extraction of oat (Avena sativa L.) oil; main fatty acids, polyphenols, and antioxidant content
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Evaluation of different variables on the supercritical CO2 extraction of oat (Avena sativa L.) oil; main fatty acids, polyphenols, and antioxidant content

机译:对燕麦(Avena Sativa L.)石油超临界CO2提取的不同变量的评价; 主要脂肪酸,多酚和抗氧化含量

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摘要

Six variables (temperature, pressure, static time, dynamic time, chemical pretreatment, and particle size) were evaluated in the supercritical CO2 extraction of oil from oats (Avena sativa L.), by the responses obtained using a Plackett-Burman statistical design, including the mass of oil extracted, main fatty acids (GC-MS), polyphenols (HPLC), antioxidant activity (ORAC), and total phenolic content (TPC). For the mass of oil extracted, pressure (55 MPa) and particle size ( > 250 mu m) were significant, with a highest yield of 0.800 g/20 g oat. Oleic acid was the most abundant fatty acid (45-53%), followed by linoleic (36-42%) and palmitic (12-16%). Fatty acid composition was significantly affected by particle size, pretreatment, and temperature. The polyphenols vanillin (43.33 mu g/g oil), ferulic acid (53.6 mu g/g oil), vanillic acid (0.78 mu g/g oil), and coumaric acid (2.2 mu g/g oil) were detected. Pretreatment and high temperature were significant for increasing the polyphenol content of the oil fractions. TPC was also increased by temperature and pretreatment (97.1 mg gallic acid equivalents/100 g oil) and showed a good correlation with polyphenols (R-2 = 82%). Additionally, ORAC antioxidant activity (265 mmol Trolox equivalents/g oil) was significantly affected by pretreatment, temperature (80 degrees C), and particle size ( > 250 mu m).
机译:通过使用Plackett-Burman统计设计获得的响应,在超临界CO2提取中评价六种变量(温度,压力,静态时间,动态时间,化学预处理和粒度)。包括含油质量,主要脂肪酸(GC-MS),多酚(HPLC),抗氧化活性(ORAC)和总酚醛含量(TPC)。对于大量的油提取,压力(55MPa)和粒度(>250μm)显着,最高收率为0.800g / 20g燕麦。油酸是最丰富的脂肪酸(45-53%),其次是亚油(36-42%)和棕榈酸(12-16%)。脂肪酸组合物受到粒度,预处理和温度的显着影响。多酚香草蛋白(43.33μg油),阿魏酸(53.6μg油),香草酸(0.78μg油)和香豆酸(2.2μg/ g油)。预处理和高温对于增加油级分的多酚含量是显着的。 TPC也通过温度和预处理(97.1mg Gallic酸当量/ 100g油)而增加,并且与多酚(R-2 = 82%)呈现出良好的相关性。另外,通过预处理,温度(80℃)和粒度(>250μm)显着影响Orac抗氧化活性(265mmol Trolox当量/ G油)。

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