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作 者:王安林[1] 赵岩[1] 叶祥桔 许娜[3] 祝嫦巍[1] 肖明松[1] 李中燕[1]
机构地区:[1]安徽科技学院生命科学学院,安徽凤阳233100 [2]安徽科技学院化学与材料工程学院,安徽凤阳233100 [3]安徽农业大学茶树生物学与资源利用国家重点实验室,安徽合肥230036
出 处:《长江大学学报(自然科学版)》2017年第10期64-68,82,共6页Journal of Yangtze University(Natural Science Edition)
基 金:安徽省大学生创新创业训练计划基金项目(108792015050);安徽科技学院大学生创新科研基金项目(15XSZ38);安徽科技学院生物学重点学科建设基金项目(AKZDXK2015B02);国家自然科学基金项目(31100070)
摘 要:酸奶能量值往往远超出消费者预期,但在酸奶质量监控体系中却容易被忽视。现行的酸奶能量值检测方法需要对蛋白质、脂肪、碳水化合物等多种成分检测基础上获得,成本较高,因此开发一种"直接"可对酸奶能量值的快速高效检测具有重要意义。采用傅里叶变换近红外(FT-NIR)光谱法对酸奶能量值进行分析,以期获得效果良好的定量模型。经过多种算法的综合比较和分析,该定量模型的光谱范围为(8069.1~7644.8)+(7359.4~7085.6)+(6526.3~6248.6)cm^(-1),预处理方式为消除常量偏移量,主成分数为7。以此模型进行校正集分析,其决定系数(R^2)为0.9818,交叉检验均方根误差(RMSECV)为8.92,残留预测偏差值(RPD)为7.4,偏移量值(Bias)为0.0309;进行预测集预测分析,其预测均方误差(RMSECV)为17.7,残留预测偏差值(RPD)为3.52,相关系数(corr.coeff.)为0.9651。可见该模型具有良好的定量预测效果。The energy value of yogurt,which was often beyond the anticipate of consumers,was an important nutrition factor but was often underestimated.The routine quantified method of yogurt was based on weighting of its contents of protein,fat,carbohydrates and other ingredients,but it was inconvenient and high cost.Therefore,the'direct'measurement method would be of great significance.The Fourier transform near infrared(FT-NIR)spectroscopy was used to analyze the energy v alue of yogurt to establish an effective quantitative model.After utilizing different kinds of algorithms,the spectroscopic range of(8069.1~7644.8)+(7359.4~7085.6)+(6526.3~6248.6)cm^(-1) region was selected with constant offset elimination preprocessing for the quantification model.Under the PC7,the model had its R^2=0.9818,RMSECV=8.92,RPD=7.4,Bias=0.0309 in the calibration set when it was calculated for cross validation;RMSECV =17.7,RPD =3.52,corr.coeff.=0.9651 in the prediction set after test set was in validation.It could be seen that the model had a good quantitative prediction effect,and it could be used as a rapid quantitative analysis method for the energy value of yogurt.
关 键 词:酸奶 能量值 傅里叶变换近红外(FT-NIR)光谱 间隔偏最小二乘法(siPLS) 反向区间偏最小二乘法(biPLS)
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