4.7 Article

Bimetallic core shelled nanoparticles (Au@AgNPs) for rapid detection of thiram and dicyandiamide contaminants in liquid milk using SERS

期刊

FOOD CHEMISTRY
卷 317, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2020.126429

关键词

SERS; Thiram; Dicyandiamide; Milk adulteration

资金

  1. National Key R&D Program of China [2018YFC1603404]
  2. Fundamental Research Funds for the Central Universities [2018MS056, 2017MS075]
  3. International and Hong Kong - Macau Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology Equipment [2015KGJHZ001]
  4. Guangdong Provincial R&D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products
  5. Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products [2016LM2154]
  6. Innovation Centre of Guangdong Province for Modern Agricultural Science and Technology on Intelligent Sensing and Precision Control of Agricultural Product Qualities
  7. China Scholarship Council

向作者/读者索取更多资源

Existing methods for contaminants detection in liquid milk are complex, requires chemicals and time-consuming experimental procedure. In this study, SERS based on bimetallic core shelled nanoparticles was employed for simultaneous and fast detection of thiram and dicyandiamide (DCD) in the milk. Spectra ranging from 400 to 1700 cm(-1) were selected to examine thiram (0.5, 1, 2, 5 and 10 ppm) and DCD (20, 40, 80,160 and 320 ppm), by employing 28 nm gold cores and silver-shell thickness of 8 nm. A strong peak at 1379 cm(-1) was ascribed to thiram with LOD of 0.21 ppm and R-2 of 0.9896, whereas a band at 929 cm(-1) was associated with DCD, delivering LOD of 14.88 ppm and R-2 of 0.9956. The proposed method could achieve results within 34 min and this ecofriendly method can be further employed for simultaneous and rapid screening of other accidental contaminants in milk.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据