Amorphous Ni(OH)(2) nanocages as efficient SERS substrates for selective recognition in mixtures
Amorphous Ni(OH)(2) nanocages as efficient SERS substrates for selective recognition in mixtures
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非晶态 Ni(OH)(2 ) 纳米笼作为有效 SERS 底物，用于混合物中的选择性识别
DOI：
10.1016/j.colsurfa.2021.127652
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Xiaotian Wang
中科院分区：
文献类型：
--
作者：
Jian Yu;Jie Lin;Mo Chen;Xiangyu Meng;Lin Qiu;Jin Wu;Guangcheng Xi;Xiaotian Wang
表面增强拉曼散射（Sers）技术由于其突出的指纹图谱优点，已成为痕量分析物识别的有力工具之一。研究发现，贵金属（Ag，Au）材料在可见光照射下能产生明显的表面等离子体共振，从而产生较强的Sers效应。但由于其稳定性差、非选择性等缺点，严重阻碍了其在实际应用中的应用，特别是在污染水体中混合有机污染物的检测中。在此，我们设计了一种非晶态Ni（OH）2纳米笼（a-Ni（OH）2NCs）基底，该基底表现出优异的Sers性能，具有良好的光谱稳定性和选择性，这归因于a-Ni（OH）2NCs与分子之间强的界面光诱导电荷转移（PICT）机制。由于a-Ni（OH）_2 NCs与分子在激光作用下发生了有效的振动耦合，它们之间的PICT跃迁使分子的极化率张量明显增大，分子的拉曼散射截面增大，从而产生了显著的Sers活性。此外，在含氮磷污染物的废水中，利用a-Ni（OH）2NCs对亚甲基蓝和结晶紫分子的选择性识别功能，成功地将其识别出来。该研究为基于非金属基底的Sers技术在水污染检测中的应用指明了新的方向，拓宽了Sers光谱的应用前景。
Surface-enhanced Raman scattering (SERS) technology has become one of the most powerful tools for identifying trace analytes due to its outstanding merit of fingerprint spectrum. It has been found that noble metal (Ag, Au) materials can produce obvious surface plasmon resonance under visible light illumination, which can bring out a strong SERS effect. However, due to poor stability and non-selectivity, its practical applications are seriously hindered, especially for the detection of polluted water contaminating mixture organic pollutants. Herein, we designed an amorphous Ni(OH)2nanocages (a-Ni(OH)2NCs) substrate that exhibits an excellent SERS performance with good spectral stability and selectivity, which is attributed to the strong interfacial photo-induced charge transfer (PICT) mechanism between a-Ni(OH)2NCs and molecules. Due to the effective vibrational coupling of a-Ni(OH)2NCs and molecule under laser irradiation, the PICT transitions between a-Ni(OH)2NCs and molecules evidently increase the molecular polarizability tensor and magnify molecular Raman scattering cross-section, resulting in a remarkable SERS activity. Besides, in wastewater containing several nitrogen and phosphorus pollutants, we successfully identified methylene blue and crystal violet molecules by using a-Ni(OH)2NCs due to their selective recognition function. This research points out a new application direction for SERS technology in water pollution detection based on non-metal substrates, which widely broadens application prospects of SERS spectroscopy.