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首页> 外文期刊>Animal Feed Science and Technology >Fractionation of pea flour with pilot scale sieving. II. In vitro fermentation of pea seed fractions of different particle sizes
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Fractionation of pea flour with pilot scale sieving. II. In vitro fermentation of pea seed fractions of different particle sizes

机译:用中试规模筛分豌豆粉。二。不同粒径豌豆种子级分的体外发酵

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Pea seeds were ground through a 4mm-screen and then dry sieved. The resulting nine particle size fractions were characterised chemically (crude protein, cell walls fractionation, starch and ash) and physically (granulometric profile, specific surface area, total porous volume and apparent density) and then fermented in vitro using an adaptation of the gas-test method. The fermentation evolutions of the fractions were studied using a gas-test method at the incubation times of 0, 2, 4, 6, 8, 12, 24 and 48h. Cumulative gas production was recorded and pH, soluble carbohydrate (SC) and ammonia (NH) concentrations were determined in the supernatant. As pea particle sizes became finer, the rates of gas production increased (from 2.1ml/h for the coarsest to 7.0ml/h for the finest fractions, after 8h of incubation), while pH and SC concentration decreased. Rate of production of NH was higher for the smallest particles in the short term, but increased linearly for the coarsest fractions. The values of cumulative gas production, pH, SC and NH at different times were better explained by chemical rather than by physical criteria. Correlation analyses indicated that lignocellulose was the best chemical predictor of cumulative gas production, pH and SC, while crude protein was the best one for NH. Among the physical criteria, the median diameter, and to a lesser extent the specific surface area were found to be the best related to the variations of the cumulative gas production, of the pH, of NH or SC concentrations in the syringes. In the present work, pea particle size was found to have a strong influence on degradation rate and probably on microbial activity. Although the chemical and physical characteristics of the pea fractions explained a large part of the results, it was, however, not possible to separate clearly the respective influences of chemical and physical parameters on particle fermentation.
机译:豌豆种子通过4毫米的筛子研磨,然后干燥筛分。通过化学(粗蛋白,细胞壁分级,淀粉和灰分)和物理(粒度分布,比表面积,总孔体积和表观密度)对所得的9个粒径级分进行表征,然后使用适应性气体在体外进行发酵,测试方法。使用气体测试方法在0、2、4、6、8、12、24和48h的孵育时间下研究级分的发酵演变。记录累积的气体产量,并测定上清液的pH,可溶性碳水化合物(SC)和氨(NH)浓度。随着豌豆颗粒尺寸的变细,产气速率增加(从孵化8小时后的最粗馏分的2.1ml / h增加到最细馏分的7.0ml / h),而pH和SC浓度降低。短期内最小颗粒的NH生成速率较高,但最粗级分则呈线性增长。用化学方法而不是物理标准可以更好地解释不同时间的累计产气量,pH,SC和NH值。相关分析表明,木质纤维素是累积气体产量,pH和SC的最佳化学预测因子,而粗蛋白是NH的最佳预测因子。在物理标准中,发现中位直径和较小程度的比表面积与注射器中累积气体产量,pH,NH或SC浓度的变化最相关。在目前的工作中,发现豌豆的粒径对降解速率和微生物活性具有很大的影响。尽管豌豆馏分的化学和物理特性解释了大部分结果,但是,不可能清楚地区分化学和物理参数对颗粒发酵的影响。

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