Sulfur Speciation of Crude Oils by Partial Least Squares Regression Modeling of Their Infrared Spectra-Reference-Cited by-同舟云学术

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Sulfur Speciation of Crude Oils by Partial Least Squares Regression Modeling of Their Infrared Spectra

Published:2010-01-21 Issue:1 Volume:24 Page:557-562
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

de Peinder Peter,Visser Tom,Wagemans Rudy,Blomberg Jan,Chaabani Hassan,Soulimani Fouad,Weckhuysen Bert M.

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/ef900908p

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing refinery heavy oil fractions analytical performance through real-time predicative modeling;Analytical Sciences;2024-07-02

2. An assessment of multivariate predictions of various properties of crude oil on two ATR/IR spectrometers;Microchemical Journal;2024-06

3. Qualitative Analysis of Nitrogen and Sulfur Compounds in Vacuum Gas Oils via Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry;Molecules;2024-05-26

4. Variation in accuracy of industrially relevant NIR-based multivariate models for sulfur in crude oil and spectral trends during an extended period of time;Fuel;2023-07

5. Correlation analysis of modern analytical data – a chemometric dissection of spectral and chromatographic variables;Analytical Methods;2023

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