玉米秸秆青贮料发酵特性及近红外光谱检测的初步研究

发布时间：2018-08-05 15:08

【摘要】：本次研究主要涉及两个部分的内容,第一部分是为了探究不同影响因素对玉米秸秆青贮发酵品质的影响,通过四因素混合水平的正交试验设计对玉米秸秆青贮后的水分含量、PH、糖度及酒精浓度进行了系统的研究,寻求影响玉米秸秆青贮的因素最优条件；第二部分是采用近红外光谱分析技术建立玉米秸秆青贮后秸秆中的水分、PH、糖度、酒精浓度四个指标的近红外光谱模型,并对其未知样品进行预测,为快速测定玉米秸秆青贮料的组分寻求一种新的方法。得到的试验结果如下：1)对玉米秸秆青贮后的各指标试验结果进行方差分析后的结果表明,对于给定显著性水平α=0.05,青贮时间对青贮料中的水分含量有着非常显著的影响,而其它三因素对青贮料中水分含量的影响大小顺序为切碎长度乙酸添加量存储方式,且这三因素在试验设计的范围内对水分含量的影响不显著；各因素对青贮料中PH值的影响大小顺序为乙酸添加量青贮时间切碎长度存储方式,其中乙酸添加量对PH的影响极显著,青贮时间对PH的影响显著,而切碎长度和存储方式在试验设计的范围内对PH值则影响不显著；各因素对青贮料中糖度的影响大小顺序为青贮时间乙酸添加量切碎长度存储方式,其中青贮时间对糖度有着非常显著的影响,其它三因素在试验设计的范围内对糖度的影响不显著；各因素对青贮料中酒精浓度的影响大小顺序为青贮时间乙酸添加量切碎长度存储方式,其中青贮时间对酒精浓度有着非常显著的影响,其它三因素在试验设计的范围内对酒精浓度的影响不显著。最后得到的优方案为A4B2C4D2,即在试验设计的范围之内玉米秸秆青贮的最优条件为切碎长度为27cm,青贮时间90d,乙酸添加量为50如l/kg,存储在室内。2)通过偏最小二乘交互验证法分别对玉米秸秆青贮料的水分含量、PH、糖度和酒精浓度建立预测模型,发现所建模型的相关性较好。尤其是对于PH值的预测,其预测值与实测值之间的偏差较小,最大偏差才0.58,结果表明利用偏最小二乘交互验证法来建立玉米秸秆的水分含量、PH、糖度和酒精浓度的预测模型是可行的。
[Abstract]:The first part is to explore the effect of different factors on the fermentation quality of corn stalk silage. The water content, sugar content and alcohol concentration after corn straw silage were studied systematically by orthogonal design of four factors mixing level, in order to find the optimal conditions for influencing corn straw silage. In the second part, the near infrared spectral model of moisture content, sugar content and alcohol concentration in corn straw silage was established by using near infrared spectroscopy (NIR), and the unknown samples were predicted. To find a new method for rapid determination of corn straw silage. The results obtained are as follows: (1) the results of variance analysis of the experimental results after corn straw silage show that the silage time has a very significant effect on the water content of the silage for a given significant level of 伪 -0.05. The order of the other three factors on the water content of silage was the way of adding acetic acid into the silage, and the effect of these three factors on the water content was not significant in the range of the experimental design. The order of influence of each factor on PH value in silage was acetic acid addition, silage time shredding length storage, among which acetic acid addition had a significant effect on PH, and silage time had significant effect on PH. However, the effect of shredding length and storage mode on PH value was not significant in the range of experimental design, and the order of the effect of each factor on the sugar content in silage was as follows: the storage mode of cutting length by adding acetic acid to silage time, The silage time had a very significant effect on the sugar content, but the other three factors had no significant effect on the sugar content in the range of the experimental design. The influence of various factors on alcohol concentration in silage was in the order of storage mode of acid-added amount of acid-shredded length of silage, in which silage time had a very significant effect on alcohol concentration. The other three factors had no significant effect on alcohol concentration in the range of experimental design. The optimized scheme is A4B2C4D2, that is, the optimal conditions of corn straw silage are as follows: chopping length is 27 cm, silage time is 90 days, acetic acid dosage is 50% kg, stored indoors. 2) partial least squares interactive verification is carried out. The water content, sugar content and alcohol concentration of corn straw silage were predicted by HPLC. It is found that the model has good correlation. Especially for the prediction of PH value, the deviation between the predicted value and the measured value is small. The maximum deviation was only 0.58. The results showed that it was feasible to establish a prediction model of moisture content, sugar content and alcohol concentration of corn straw by using partial least square cross validation method.
【学位授予单位】：内蒙古农业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S816.53

【参考文献】