Organic room-temperature phosphorescence (ORTP), when combined with external stimuli-responsive capability, is very attractive for sensors and bio-imaging devices, but remains challenging. Herein, by doping two β-iminoenamine-BF derivatives (S-2CN and S-2I) into a 4-iodoaniline (I-Ph-NH ) crystalline matrix, the formation of S-2CN⋅⋅⋅I-Ph-NH and S-2I⋅⋅⋅I-Ph-NH halogen bonds leads to bright-red RTP emissions from these two host-guest doped crystals (hgDCs) with quantum efficiencies up to 13.43 % and 15.96 %, respectively. Upon treatment with HCl, the competition of I-Ph-NH ⋅HCl formation against S-2I⋅⋅⋅I-Ph-NH halogen bonding switches off the red RTP from S-2I/I-Ph-NH hgDCs, whereas the stable halogen-bonded S-2CN⋅⋅⋅I-Ph-NH ensures red RTP from S-2CN/I-Ph-NH hgDCs remains unchanged. A security protection luminescence pattern by using these different HCl-responsive RTP behaviors was designed.
a b s t r a c tSoil salinization is one of serious ecological problems around the world, which seriously restricts the stability of ecosystem and the economic development of agriculture. Mapping and monitoring spatial distribution of soil salinity is important for management of ecology and agriculture. This study was carried out to explore the spatial distribution of soil salinity in the Yellow River Delta using the portable device EM38-MK2 with geostatistical analysis. Apparent soil electrical conductivities were measured under four kinds of measurement modes (0.5H, 0.5 V, 1.0H and 1.0 V, respectively). The results revealed that electrical conductivity of 1:5 soil to water extract (ECe) varied from 0.965 to 1.872 dS m −1 for all sampled soil profiles, and the salinity of topsoil was the highest, which indicated that soil soluble salts accumulated to the surface. The salinity in the top layer showed strong spatial variability while salinities of other layers were moderate. Soil salinity displayed a significant zonal distribution, gradually decreasing with the increase of distance to the coastline. The regions with high ECa values were located in the north and the east of the study area, whereas regions with low ECa values were located in the south and the west parts. The correlation coefficient showed that salinities of adjacent two soil layers reached a significant level of 0.01, and gradually decreased with increasing soil depth. The linear interpretation models with ECa as independent variables and ECe as dependent variables for each depth were with R 2 between 0.828 and 0.919. The interpretation models, taking ECa and ECe of 0-15 cm depth as independent variables, and ECe of each layer in 15-100 cm depth as dependent variables, were with higher R 2 between 0.930 and 0.953. The mean error (ME) showed that there was small positive deviation in 40-100 cm whereas a high positive deviation in the topsoil (0-40 cm). The scatter plots also indicated that the models had better accuracy of salinity estimation in the top soil layers (0-80 cm). The results provides solid basis for eco-restoring in the Yellow River delta.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.