热解
热解油
碳纤维
响应系数
生物系统
数学
化学
材料科学
复合材料
色谱法
生物
有机化学
复合数
作者
Nhung Duong,Gap Warrakunwit,Daniel E. Resasco
出处
期刊:Tạp chí Xúc tác và Hấp phụ
[Iran University of Science and Technology]
日期:2024-12-30
卷期号:13 (4): 136-142
标识
DOI:10.62239/jca.2024.088
摘要
The analytical characterization of pyrolysis bio-oil represents a formidable challenge, attributed to its complex composition and inherent corrosive properties. Addressing this, we introduce an improved version of Effective Carbon Number (ECN) model, a novel predictive framework designed to accurately estimate the Flame Ionization Detector (FID) response factors of oxygenated compounds within bio-oil based solely on their molecular structures. The ECN model, underpinned by an analysis of over 150 compounds, leverages the structural attributes of molecules to ascertain their respective response factors, thereby facilitating precise concentration measurements. Central to our findings is the model’s ability to correlate FID detector responses directly with two critical parameters: the total number of carbon atoms within the molecule, and the degree of oxidation of each carbon atom. Additionally, we have compiled a comprehensive table delineating response factors across various oxygenated functionalities, a resource that significantly expedites the analysis process of complex bio-oil mixtures.
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