Affiliation:
1. Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
2. Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 P. R. China
3. School of Life Science Tsinghua University Beijing 100084 P. R. China
4. School of Future Technology University of Chinese Academy of Sciences Beijing 100049 P. R. China
Abstract
AbstractThe sustainable development of novel photo/electrocatalytic CO2/N2 fixation for chemical synthesis is predicated on reliable, accurate, and rapid detection methods. The directness, specificity, and simultaneity in detecting multiple molecules of the 1H nuclear magnetic resonance (1H‐NMR) technique have aroused increasing interest in photo/electrocatalysis. Thus far, two data processing means have been developed for the precise 1H‐NMR data processing: peak integral and peak height methods. However, few detailed studies offer a clear steer for choosing data processing methods for the concerned products in photo/electrocatalysis, especially the guidelines under the conditions of baseline distortions induced by water suppression. Herein, the feasible practices are restudied to quantify classical products in photo/electrocatalytic CO2/N2 fixation. On the basis of experimental results, 1H‐NMR data processing methods (peak integral and peak height methods) are found to convey different applicability for the different low‐concentration products, while introducing water suppression in the 1H‐NMR tests. The essential reason can be attributed to the baseline distortions caused by the water suppression, which arouses differentiated deviation of peaks with different peak widths. With this in mind, an accessible quantification criterion is provided to avoid superfluous input of time or cost in precise 1H‐NMR detection of low‐concentration products.
Funder
National Natural Science Foundation of China
Subject
General Materials Science,Renewable Energy, Sustainability and the Environment