Jiawei Li,You Wang,Qinghai Zhang,Danqun Huo,Changjun Hou,Jun Zhou,Huibo Luo,Mei Yang
Qualitative and quantitative testing of aldehydes is meaningful for chemical toxin detection, food inspection, and disease monitoring. Herein, we reported a simple, accurate, and selective Tollen’s reagent-based colorimetric sensor array for determination and detection of aldehydes. Three kinds of negatively charged gold nanoparticles (Au NPs) with different sizes (13, 22, and 40 nm) were synthesized and characterized by transmission electron microscopy and zeta potential measurement. In the presence of aldehydes, Ag+ from Tollen’s reagent was attracted by the negative charge on the surface of Au NPs. Ag+ was reduced into Ag0 in situ, forming Au@Ag core–shell nanostructure and resulting in a significant color change. Detailed morphological and dimensional changes were observed by transmission electron microscopy. ΔRGB values (the value changes in the red, green, and blue color model) of Au NPs were captured as the optical signal for further data processing. Results of pattern recognition indicated the outstanding discrimination performance of the system for identification of aldehydes. Moreover, the array possessed quantitative detection capability for formaldehyde, selectivity , and reproducibility and thus has great potential in practical detection.
In this work, an environment-friendly and label-free SERS probe was synthesized through Tollens' reagent and phytic acid to detect Fe 3+ ions in the integrated circuit cleaning solution waste. The synthesis process was greatly shortened to 30 min compared with the traditional synthesis time of 6 h. In addition, this SERS probe can be directly used and avoid the environmental pollution caused by the further modification in the synthesis process. This probe has a high sensitivity (LOD = 0.1 μmol L −1 ) and a wide detection range from 0.5 μmol L −1 to 500 μmol L −1 .As a practical application, it has been successfully applied to detect Fe 3+ ions in the standard clean two solution (SC-2). This method provides a feasible detection way for whether integrated circuit cleaning solution waste meets the emission criteria.