State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University , Tianjin 300072, China.
School of Precision Instrument and Optoelectronics Engineering, Tianjin University , Tianjin 300072, China.
J Agric Food Chem. 2017 Aug 2;65(30):6274-6281. doi: 10.1021/acs.jafc.7b01814. Epub 2017 Jul 19.
Better milk safety control can offer important means to promote public health. However, few technologies can detect different types of contaminants in milk simultaneously. In this regard, the present work proposes a single-drop Raman imaging (SDRI) strategy for semiquantitation of multiple hazardous factors in milk solutions. By developing SDRI strategy that incorporates the coffee-ring effect (a natural phenomenon often presents in a condensed circle pattern after a drop evaporated) for sample pretreatment and discrete wavelet transform for spectra processing, the method serves well to expose typical hazardous molecular species in milk products, such as melamine, sodium thiocyanate and lincomycin hydrochloride, with little sample preparation. The detection sensitivity for melamine, sodium thiocyanate, and lincomycin hydrochloride are 0.1 mg kg, 1 mg kg, and 0.1 mg kg, respectively. Theoretically, we establish that the SDRI represents a novel and environment-friendly method that screens the milk safety efficiently, which could be well extended to inspection of other food safety.
更好的牛奶安全控制可以为促进公众健康提供重要手段。然而，很少有技术可以同时检测牛奶中的不同类型的污染物。在这方面，本工作提出了一种用于牛奶溶液中多种有害因素的半定量检测的单滴拉曼成像（SDRI）策略。通过开发一种将咖啡环效应（一种自然现象，在液滴蒸发后常常呈现出浓缩的圆形图案）纳入样品预处理的 SDRI 策略，并采用离散小波变换进行光谱处理，该方法很好地暴露了牛奶产品中的典型有害分子种类，如三聚氰胺、硫氰酸钠和盐酸林可霉素，而样品制备量很少。三聚氰胺、硫氰酸钠和盐酸林可霉素的检测灵敏度分别为 0.1mg/kg、1mg/kg 和 0.1mg/kg。从理论上讲，我们建立了 SDRI 代表了一种新颖的、环保的方法，可以有效地筛选牛奶安全，这可以很好地扩展到其他食品安全的检测。
