Comprehensive Two-Dimensional Gas Chromatography and Chemometrics for the High-Speed Quantitative Analysis of Aromatic Isomers in a Jet Fuel Using the Standard Addition Method and an Objective Retention Time Alignment Algorithm

2000 ◽  
Vol 72 (17) ◽  
pp. 4154-4162 ◽  
Author(s):  
Carlos G. Fraga ◽  
Bryan J. Prazen ◽  
Robert E. Synovec
PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247276
Author(s):  
Takuyu Hashiguchi ◽  
Masatsugu Hashiguchi ◽  
Hidenori Tanaka ◽  
Koki Fukushima ◽  
Takahiro Gondo ◽  
...  

Plant hormones have been identified to be versatile signaling molecules essential for plant growth, development, and stress response. Their content levels vary depending on the species, and they also change in response to any external stimuli. Thus, simultaneous quantification of multiple plant hormones is required to understand plant physiology. Sensitive and quantitative analysis using liquid chromatography-linked mass spectrometry (LC-MS/MS) has been used in detecting plant hormones; however, quantification without stable isotopes is yet to be established. In this study, we quantified seven representative plant hormones of Lotus japonicus, which is a model legume for standard addition method. Accurate masses for monoisotopic ions of seven phytohormones were determined for high-resolution mass spectrometry (HR-MS). Selected ion monitoring (SIM) mode based on accurate masses was used in detecting phytohormones in the roots, stems, and leaves. Evaluation of matrix effects showed ion suppression ranging from 10.2% to 87.3%. Both stable isotope dilution and standard addition methods were able to detect plant hormones in the roots, stems, and leaves, with no significant differences in using both approaches and thus a standard addition method can be used to quantify phytohormones in L. japonicus. The method will be effective, especially when stable isotopes are not available to correct for matrix effects.


2019 ◽  
Vol 34 (7) ◽  
pp. 1478-1484 ◽  
Author(s):  
C. Wu ◽  
D. X. Sun ◽  
M. G. Su ◽  
Y. P. Yin ◽  
W. W. Han ◽  
...  

In this work, different soil samples were extracted from seven sites in the vicinity of the Northwest China Lead–Zinc Smelter. A simplified standard addition method with LIBS (SAM-LIBS) was proposed to carry out quantitative analysis of Pb in solid soil samples. The method proposed in this work can be used for rapid assessment of the contaminants in soils.


2016 ◽  
Vol 14 (06) ◽  
pp. 1650032 ◽  
Author(s):  
Beichuan Deng ◽  
Seongho Kim ◽  
Hengguang LI ◽  
Elisabeth Heath ◽  
Xiang Zhang

Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC[Formula: see text][Formula: see text][Formula: see text]GC-MS) has been used to analyze multiple samples in a metabolomics study. However, due to some uncontrollable experimental conditions, such as the differences in temperature or pressure, matrix effects on samples and stationary phase degradation, there is always a shift of retention times in the two GC columns between samples. In order to correct the retention time shifts in GC[Formula: see text][Formula: see text][Formula: see text]GC-MS, the peak alignment is a crucial data analysis step to recognize the peaks generated by the same metabolite in different samples. Two approaches have been developed for GC[Formula: see text][Formula: see text][Formula: see text]GC-MS data alignment: profile alignment and peak matching alignment. However, these existing alignment methods are all based on a local alignment, resulting that a peak may not be correctly aligned in a dense chromatographic region where many peaks are present in a small region. False alignment will result in false discovery in the downstream statistical analysis. We, therefore, develop a global comparison-based peak alignment method using point matching algorithm (PMA-PA) for both homogeneous and heterogeneous data. The developed algorithm PMA-PA first extracts feature points (peaks) in the chromatography and then searches globally the matching peaks in the consecutive chromatography by adopting the projection of rigid and nonrigid transformation. PMA-PA is further applied to two real experimental data sets, showing that PMA-PA is a promising peak alignment algorithm for both homogenous and heterogeneous data in terms of [Formula: see text]1 score, although it uses only peak location information.


2012 ◽  
Vol 455-456 ◽  
pp. 716-720 ◽  
Author(s):  
Yong Gang Shi ◽  
Bin Su ◽  
Hai Feng Gong ◽  
Yan Xue

A new method for determination of antioxidants in jet fuels, which is based on the differential pulse voltammetric characteristics of the antioxidant 2,6-ditertbutyl-4-methylphenol in the solution of saturated KOH anhydrous ethyl alcohols, is established. The experimental results have shown that there is a linear relationship between the content of 2,6-ditertbutyl-4-Methyl-phenol in the jet fuel and the differential pulse voltammetry response in the electrolytic solution. It has also been shown that the antioxidant contents can be reliably and simply determined with the help of the standard addition method. The largest relative error of the determination is 6.70 %, the biggest confidence for 5 samples is 1.95 mg/L (n=5, 95% confidence level).


2013 ◽  
Vol 1291 ◽  
pp. 146-154 ◽  
Author(s):  
Abhijit Ghosh ◽  
Carly T. Bates ◽  
Stacy K. Seeley ◽  
John V. Seeley

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