Igathinathane C, Womac A R, Pordesimo L O, Sokhansanj S
Agricultural and Biological Engineering Department, 100 Moore Road, Mississippi State University, Mississippi State, MS 39762, USA.
Bioresour Technol. 2008 Sep;99(14):6365-71. doi: 10.1016/j.biortech.2007.11.075. Epub 2008 Jan 28.
Occurrence of mold was visually monitored for 26days on samples of major anatomical components of corn stover maintained at several storage temperatures (T) and water activities (a(w)). Glass desiccators with saturated salt solutions placed in temperature controlled chambers provided simulated storage conditions with temperatures ranging from 10 degrees C to 40 degrees C and water activities ranging from 0.11 to 0.98. Mold affected leaf, stalk skin, and stalk pith equally at water activity greater than 0.9. As expected, a combination of increased water activity greater than 0.9 and temperatures greater than 30 degrees C was conducive to mold growth. Based on material moisture content during the initial mold growth, it was postulated that among the corn stover components the stalk pith was the least resistant to mold growth followed by stalk skin and leaf for the studied range of temperature and water activity. Mold growth models fitted well with the observation. A linear mold-free days predictions using a three-parameter regression model (T, a(w), and T x a(w)) was superior (R(2)=0.99) to other models considered. The exponential spoilage model using two parameter T and a(w) also gave comparable performance (R(2)=0.95). Among the independent factors, T x a(w) product was the most significant (p=0.0069) followed by T (p=0.0114), and a(w) (p=0.3140) in explaining the experimental data. The developed models can be applied to predict the safe storage period of corn stover components exposed to various temperature and moisture environmental conditions.
在几个储存温度(T)和水分活度(a(w))条件下,对玉米秸秆主要解剖成分的样本进行了26天的霉菌生长情况目视监测。将装有饱和盐溶液的玻璃干燥器置于温度可控的 chamber 中,提供了温度范围为10℃至40℃、水分活度范围为0.11至0.98的模拟储存条件。当水分活度大于0.9时,霉菌对叶片、茎皮和茎髓的影响相同。正如预期的那样,水分活度大于0.9且温度大于30℃的组合有利于霉菌生长。根据霉菌初始生长期间的物料含水量推测,在所研究的温度和水分活度范围内,玉米秸秆各成分中茎髓对霉菌生长的抵抗力最弱,其次是茎皮和叶片。霉菌生长模型与观测结果拟合良好。使用三参数回归模型(T、a(w)和T×a(w))进行的无霉菌天数线性预测优于其他考虑的模型(R(2)=0.99)。使用两个参数T和a(w)的指数腐败模型也给出了相当的性能(R(2)=0.95)。在各独立因素中,T×a(w)乘积在解释实验数据方面最为显著(p=0.0069),其次是T(p=0.0114)和a(w)(p=0.3140)。所开发的模型可用于预测暴露于各种温度和湿度环境条件下的玉米秸秆成分的安全储存期。