摘要
为对糙米储藏过程中的劣变进行及时调控,选用2个粳糙米样品,测定不同储藏条件下的脂肪酸值、发芽率、生活力、电导率、降落数值等生理生化指标,进行各指标间的相关性分析,采用灰色关联度分析法对各项指标进行储藏品质敏感指标的筛选,并以各项敏感指标为自变量,以碾磨后的大米食味值为因变量,采用逐步回归的方法建立敏感指标与糙米最终食味值间的数学模型.结果表明:脂肪酸值、电导率对粳糙米储藏品质有显著影响,其中脂肪酸值对储藏品质敏感度最大,电导率次之;辽星糙米储藏品质评价的数学模型为Y=92.57+0.83X脂肪酸值-2.08X电导率,盐丰糙米储藏品质评价的数学模型为Y=-99.42+4.03X脂肪酸值-1.44X电导率.
In order to control the deterioration during brown rice storage, the paper selected two Japonica brown rice samples （liaoxing and yanfeng） to measure the physiological and biochemical indexes under different storage conditions, such as fatty acid value, germination rate, viability, electrical conductivity and falling number, and analyzed the correlation among the indexes. The storage quality sensitive indexes were screened by using grey correlative degree analysis method, and a mathematical mode was established by a gradual regression method selecting the sensitive indexes as the independent variables and the taste value of the milled rice as dependent variables. The results showed that the fatty acid value and the electrical conductivity had significant influences on the storage quality of brown rice, wherein the storage quality evaluation model of liaoxing was Y=92.57＋0.83X （f^y ~d,~）- 2.08X （d~ ~,~）; and the storage quality evaluation model of yanfeng was Y=-99.42＋4.03X （f^y ~d ,~）- 1.44X^ol0~ ,~,~,~.
出处
《河南工业大学学报（自然科学版）》
CAS
北大核心
2011年第6期1-7,共7页
Journal of Henan University of Technology：Natural Science Edition
基金
"十一五"国家科技支撑滚动项目(2009BADA0B02-1)
关键词
糙米
储藏品质
模型
brown rice
storage quality
model
