Development of quantitative 13C NMR characterization and simulation of C, H, and O content for pyrolysis oils based on 13C NMR analysis. Issue 43 (9th July 2020)

• Record Type: Journal Article
• Authors: Wang, Rui; Luo, Ying; Jia, Hang; Ferrell, Jack R.; Ben, Haoxi
• Is Part Of: RSC advances. Volume 10:Issue 43(2020)
• Page Start: 25918
• Page End: 25928
• Publication Date: 2020-07-09
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d0ra02376k
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : This work develops an effective way to characterize bio-oil by quantitative 13 C NMR despite the complexity of bio-oil and proposes a simulation of C, H, and O content for pyrolysis oils based on 13 C NMR analysis. Abstract : Bio-oil is a valuable liquid product obtained from pyrolysis of biomass and it contains tens of hundreds of compounds, which brings about difficulties for characterization with various analytical methods. 13 C NMR has advantages over other detection methods as it can characterize the entire composition of bio-oil and distinguish different types of carbon. But various shortcomings limit the application of 13 C NMR. This study was carried out to develop a quantitative 13 C NMR method to determine different functional groups in pyrolysis bio-oils with short NMR time and good accuracy, and propose a simulation of C, H, and O content for pyrolysis oils based on 13 C NMR analysis. In order to solve long-term NMR problems, relax reagent has been added and the results show that it is an effective way to shorten the NMR time. Moreover, the aging problem is not obvious in the short-term NMR test, so the effect of aging on the test results can be neglected. Three types of substances with different oxygen content have been employed to verify the feasibility of the C, H, and O calculation methods and the result errors of all elements are small, which shows it is reliable for the simulation data of C, H and O content.