表面增强拉曼光谱在食品人工合成色素的现场快速筛查中的应用

(1.厦门大学 环境与生态学院,近海海洋环境科学国家重点实验室,福建 厦门 361102; 2.厦门市普识纳米科技有限公司,福建 厦门 361005; 3.厦门大学化学化工学院,福建 厦门 361005)

表面增强拉曼光谱; 非定向; 现场; 快速; 高灵敏

Developing On-site,Quick Screening Platform for Artificial Pigments in Food Using Surface-enhanced Raman Spectroscopy
CHEN Qizhen1,2,ZENG Yongming1,2,LIN Huizhen3,CHEN Hongju3,TIAN Zhongqun3,LIU Guokun1*

(1.State Key Laboratory of Marine Environmental Science,College of the Environment & Ecology,Xiamen University,Xiamen 361102,China; 2.PERSer Nanotechnology Ltd.,Xiamen 361005,China; 3.College of Chemistry and Chemical Engineering,Xiamen University,Xiamen 361005,China)

surface-enhanced Raman spectroscopy(SERS); non-targeting; on-site; quick; high sensitivity

DOI: 10.6043/j.issn.0438-0479.201603102

备注

已有研究表明食品加工过程中添加的人工合成色素不仅不能提供营养物质,而且可能是导致小儿多动症的来源之一,影响儿童智力发育.基于表面增强拉曼光谱(SERS)原理和便携式拉曼光谱仪,提出了一种非定向的现场快速筛查方法.该方法只需对疑似含有人工合成色素的固体或液体状食品样品进行简单前处理,即可进行SERS检测.样品前处理和检测的总时长不超过15 min,检出质量浓度在1 mg/L水平,可有效满足政府职能部门的现场执法需求.除具有快速、方便、灵敏度高等特点之外,该检测方法的最大优势在于实现了未知样品的现场非定向测试:在同一种前处理过程和检测方法下,可对食品中常添加的亮蓝、胭脂红、日落黄、柠檬黄、苋菜红和诱惑红6种人工合成色素进行快速鉴定和半定量分析.

As widely used additives in food processing,artificial pigments have no any nutrition but are potential sources of hyper-activity and affect the intellectual development of children.On the basis of surface-enhanced Raman spectroscopy(SERS)and portable Raman instrument,we developed a non-targeting,on-site and quick screening platform for artificial pigments in food matrix.SERS measurement could be carried out after the food matrix(either in solid or liquid states)being simply pretreated for 15 min.The detectable concentration is as low as 1 mg/L,a level meeting the demand of the on-site enforcement by the government.Besides the advantages of quick,easy-on-going,and high sensitivity,the most distinguished point of SERS is the non-targeting qualitative on-site detection for the typical pigment additives,including brilliant blue,carmine,sunset yellow,lemon yellow,amaranth and allura red,et al.,while both the pretreatment procedure and the SERS detection remain the same.

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