College of Chemistry, Chemical Engineering and Environment Engineering, Liaoning Shihua University, Fushun, Liaoning 113001, PR China.
School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
Spectrochim Acta A Mol Biomol Spectrosc. 2020 Apr 15;231:118130. doi: 10.1016/j.saa.2020.118130. Epub 2020 Feb 4.
We present a dual-mode readout sensing mechanism that can effectively distinguish true and false-positive signals of melamine in milk by combining colorimetric analysis and surface-enhanced Raman scattering (SERS) spectroscopy. The colorimetry analysis takes advantage of color change of plasmonic nanoparticles upon the presence of melamine. We discovered that Ag colloids with 20 nm diameter was suitable for both colorimetric and SERS methods. However, the colorimetric method may present false-positive signals with the presence of interfering compounds. SERS spectroscopy can overcome this limitation and directly obtain signature spectra from the same plasmonic NPs used for the colorimetric assay without any modification. Melamine/s-triazine can be reliably differentiated by probing the SERS spectra based on surface-selection rules. The limit of detection of sensing melamine from milk by this method could reached to 0.05 ppm. Therefore, the combination of colorimetric and SERS method not only allows for rapid preliminary screening of melamine by naked eyes, but also greatly reduces false-positive signals by surface selection rules in SERS.
我们提出了一种双模读出传感机制,通过将比色分析和表面增强拉曼散射(SERS)光谱相结合,可有效区分牛奶中三聚氰胺的真假阳性信号。比色分析利用了等离子体纳米粒子在存在三聚氰胺时的颜色变化。我们发现,直径为 20nm 的 Ag 胶体适用于比色法和 SERS 法。然而,比色法可能会因存在干扰化合物而出现假阳性信号。SERS 光谱技术可以克服这一限制,并且无需任何修饰,即可直接从用于比色分析的相同等离子体 NPs 获得特征光谱。基于表面选择规则,可以可靠地区分三聚氰胺/均三嗪。通过该方法从牛奶中检测三聚氰胺的检测限可达到 0.05ppm。因此,比色法和 SERS 法的结合不仅可以通过肉眼快速进行三聚氰胺的初步筛选,而且可以通过 SERS 中的表面选择规则大大减少假阳性信号。