Rational Design of Aminopolymer for Selective Discrimination of Acidic Air Pollutants

• DOI: 10.1021/acssensors.8b00247
• Publication Date: 2018-06-05T12:51:33Z
• Authors: Soo-Yeon Cho; Kyeong Min Cho; Sanggyu Chong; Kangho Park; Sungtak Kim; Hohyung Kang; Seon Joon Kim; Geunjae Kwak; Jihan Kim; Hee-Tae Jung
• Keywords: Moiety; Polyethylenimine; Acid gas

Strong acidic gases such as CO2, SO2, and NO2 are harsh air pollutants with major human health threatening factors, such, developing new tools to monitor quickly sense these is critically required. However, it difficult selectively detect the single channel material due similar chemistry shared by molecules. In this work, three (i.e., NO2) discriminated using precise moiety design. By changing composition ratio of primary (1°), secondary (2°), tertiary (3°) amines polyethylenimine (PEI) on CNT channels, unprecedented high selectivity between CO2 SO2 achieved. Using in situ FT-IR characterizations, distinct adsorption phenomenon each amine precisely demonstrated. Our approach first attempt at controlling gas solid-state sensor via modulating chemical level within material. addition, discrimination reported. We believe that can greatly enhance pollution tracking systems for strong thus aid future studies selective sensors.