| 餐饮业废弃油脂鉴别检测方法研究进展 |
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| 引用本文： | 沈雄,郑晓,何东平.餐饮业废弃油脂鉴别检测方法研究进展[J].中国油脂,2011,36(11). |
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| 作者姓名： | 沈雄 郑晓 何东平 |
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| 作者单位： | 1. 武汉工业学院机械工程学院,武汉,430023
2. 武汉工业学院食品科学与工程学院,武汉,430023 |
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| 基金项目： | 国家科技支撑计划资助项目，武汉工业学院食品营养与安全重大项目培育专项，武汉工业学院2010研究生创新基金项目 |
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| 摘 要： | 餐饮业废弃油脂是我国目前食品安全非常关注的问题之一.介绍了餐饮业废弃油脂的分类及概念,分析了餐饮业废弃油脂的特征成分,概述了目前餐饮业废弃油脂的鉴别和检测方法,并提出了将红外光谱、近红外光谱、核磁共振、电子鼻、光纤波导传感等检测方法作为今后餐饮业废弃油脂的快速检测技术研究与开发方向.
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| 关 键 词： | 餐饮业废弃油脂 特征成分 检测方法 |
Advance in differential detection method of waste cooking oil |
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| SHEN Xiong,ZHENG Xiao,HE Dongping.Advance in differential detection method of waste cooking oil[J].China Oils and Fats,2011,36(11). |
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| Authors: | SHEN Xiong ZHENG Xiao HE Dongping |
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| Affiliation: | SHEN Xiong1,ZHENG Xiao1,HE Dongping2(1.School of Mechanical Engineering,Wuhan Polytechnic University,Wuhan 430023,China,2.College of Food Science and Engineering,China) |
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| Abstract: | Waste cooking oil is one of the most concerned problems of current food safety area in China.The classification,definition,features and components of waste cooking oil were described,the existing methods for its identification and detection were also introduced.Five key methods,including IR,NIR,NMR,electronic nose and fiber waveguide sensor would be used as the further step and direction of R&D of identification technology adopted to waste cooking oil. |
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| Keywords: | waste cooking oil characteristic ingredients detection method |
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