Flame ionized detector has been such widely applied in chemical analysis since its great invention and the discovery of chem-ionization. Thanks to the excellent contribution of Sternberg and the successors in this field, effective carbon number concept (ECN) can make the analysis calibration greatly simplified especially when authentic standard substances are unavailable or in the complicated case such as petrochemical industry and biomass processing. To supplement the ECN rule in multi-ethers, this work determined relative response factors of poly(oxymethylene) dimethyl ethers experimentally, and developed a probabilistic P-P effective carbon number model (P-ECN) for multi-ethers compounds. showed this method could improve the precision of quantitative analysis for poly(oxymethylene) dimethyl ethers and could predict relative response factors of other ethers with similar structure to a degree. LOD for each DMMn monomer ranged between 0.4-0.7 ng, and MDL ranged between 2 and 4 ug/mL. In the practical quantitation of diluted samples at level of 10 ug/mL, the relative standard deviation was less than 5%. Practical ethers-fuel blend with complex composition also was quantified with errors less than 3%.
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http://dx.doi.org/10.1016/j.chroma.2017.07.036 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
Low-temperature proton exchange membrane fuel cells (PEMFCs) reuqire highly pure hydrogen gas due to their extreme sensitivity to carbon monoxide (CO) contamination, which poses a challenge for using cost-effective reformed hydrogen sources. To address this issue, we have developed a surface modification strategy by applying a 0.5-0.
View Article and Find Full Text PDFAnal Chem
January 2025
Separation Science Group, Department of Organic and Macromolecular Chemistry, Ghent University, Krijgslaan 281 S4bis, B-9000 Ghent, Belgium.
Addressing the global challenge of ensuring access to safe drinking water, especially in developing countries, demands cost-effective, eco-friendly, and readily available technologies. The persistence, toxicity, and bioaccumulation potential of organic pollutants arising from various human activities pose substantial hurdles. While high-performance liquid chromatography coupled with high-resolution mass spectrometry (HPLC-HRMS) is a widely utilized technique for identifying pollutants in water, the multitude of structures for a single elemental composition complicates structural identification.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah 84112, United States.
Methane (CH) is a greenhouse gas with a global warming potential 81.2 times higher than carbon dioxide (CO). The intentional emission of oxidants into the atmosphere has been proposed as a geoengineering solution to accelerate the oxidation of CH to CO, thereby reducing surface warming.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Following myocardial infarction (MI), the accumulation of CD86-positive macrophages in the ischemic injury zone leads to secondary myocardial damage. Precise pharmacological intervention targeting this process remains challenging. This study engineered a nanotherapeutic delivery system with CD86-positive macrophage-specific targeting and ultrasound-responsive release capabilities.
View Article and Find Full Text PDFThis study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. Finally, the driver-state-response (DSR) model is used to evaluate the carbon audit of the power industry and comprehensively analyze the effect of carbon emission reduction.
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