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作 者:王辉[1] 田寒友[1] 张顺亮[1] 刘飞[1] 李文采[1] 邹昊[1] 李家鹏[1] 陈文华[1] 乔晓玲[1]
机构地区:[1]中国肉类食品综合研究中心,肉类加工技术北京市重点实验室,北京食品科学研究院,北京100068
出 处:《食品科学》2016年第24期185-189,共5页Food Science
基 金:“十二五”国家科技支撑计划项目(2014BAD04B05)
摘 要:胆固醇是人体必需的一种具有重要生理功能的动物源性甾醇类物质,摄入不均衡会引发严重的心脑血管疾病。利用近红外光谱技术,在中波波段建立一种对动物源性胆固醇含量进行快速无损定量分析的新方法并验证其可行性。采集市售生鲜牛肉原始光谱,结合马氏距离、学生残差及二审剔除判别法甄别并剔除疑似异常样本,经光谱预处理和模型优化后,建立最佳牛肉胆固醇偏最小二乘法定量分析模型。结果表明,基于近红外光谱中波波段所构建的胆固醇定量分析模型对独立检验集的预测效果较好(P>0.05),整体预测准确率满足国标要求(精密度≤10%)。Cholesterol,a sterol derived from animal fat,is essential for and possesses important physiological functions in human body.However,unbalanced intake of cholesterol will induce serious cardiovascular and cerebrovascular diseases.A new,rapid and noninvasive method to quantitatively analyze cholesterol in foods of animal origin was developed by near-infrared reflectance spectroscopy(NIRS) within medium wavelength range,and its feasibility was examined.Original spectra of commercially available fresh beef high ribs were collected.The suspicious samples were analyzed and discriminated with Mahalanobis distance and studentized residual,and the outlier samples were determined by twicedetection diagnosis method and removed based on final judgment after secondary partial least squares(PLS) regression analysis.The optimal model for quantitative analysis of cholesterol in fresh beef was established after spectral pretreatment and model optimization.The experiment results indicated that the difference between the predicted values and reference values of the independent test set was not significant(P〈0.05).The overall prediction accuracy could meet the requirements of the Chinese national standard(≤ 10%).
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