Enhancement of the spectral selectivity of complex samples by measuring them in a frozen state at low temperatures in order to improve accuracy for quantitative analysis. Part I. Raman spectroscopic compositional analysis of synthetic hydrocarbon mixtures

The Analyst ◽  
2013 ◽  
Vol 138 (5) ◽  
pp. 1504 ◽  
Author(s):  
Jinyoung Hwang ◽  
Hoeil Chung
Keyword(s):  
Quantitative Analysis ◽  
Low Temperatures ◽  
Compositional Analysis ◽  
Hydrocarbon Mixtures ◽  
Complex Samples ◽  
Raman Spectroscopic ◽  
Spectral Selectivity ◽  
Synthetic Hydrocarbon ◽  
Improve Accuracy ◽  
Frozen State

THE CHEMISTRY OF THE INDOLE GRIGNARD REAGENT: I. THE REACTION OF INDOLE MAGNESIUM IODIDE WITH ETHYL CHLOROFORMATE

1966 ◽  
Vol 44 (23) ◽  
pp. 2805-2811 ◽  
Author(s):  
S. Kašpárek ◽  
R. A. Heacock
Keyword(s):  
Quantitative Analysis ◽  
Low Temperatures ◽  
Grignard Reagent ◽  
Ethyl Chloroformate ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Liquid Chromatographic

In contrast to previous reports in the literature, it has been shown that both 1- and 3-carbethoxyindole are obtained from the reaction of indole magnesium iodide with 1 or 2 moles of ethyl chloroformate. The formation of 1-carbethoxyindole was favored at low temperatures (i.e. −10°), whereas maximum yields of 3-carbethoxyindole were obtained at 10°. Significant quantities of 1,3-dicarbethoxyindole are only formed in the presence of 2 equivalents of ethyl chloroformate and when the reaction is carried out at higher temperatures (i.e. 35°).Paper and gas–liquid chromatographic systems have been developed for the qualitative and quantitative analysis of mixtures containing indole, 1-, 2-, and 3-carbethoxyindole, and 1,3-dicarbethoxyindole.

scholarly journals Cryogenic Raman Spectroscopic Studies on Common Ore-forming Fluid Systems

Minerals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 363
Author(s):  
Dan Yang ◽  
Xin Xiong ◽  
Weishi Chen
Keyword(s):  
Raman Spectroscopy ◽  
Quantitative Analysis ◽  
Correlation Coefficient ◽  
Fluid Inclusions ◽  
Intensity Ratio ◽  
Spectroscopic Studies ◽  
Ore Deposits ◽  
Raman Spectroscopic ◽  
Freezing Method ◽  
Fluid Systems

The composition and properties of ore-forming fluids are key to understanding the mechanisms of mineralization in ore deposits. These characteristics can be understood by studying fluid inclusions. Hydrates in fluid inclusions containing NaCl–H2O and MgCl2–H2O were studied using cryogenic Raman spectroscopy. The intensity ratio of peaks at 3401, 3464, 3514, and 3090 cm−1 shows a positive correlation with the concentration of hydrates in the inclusions, as does the ratio of the total integrated area of the MgCl2 hydrate peak (3514 cm−1) to the 3090 cm−1 peak with the concentration of MgCl2 (correlation coefficient >0.90). These correlations are important in the quantitative analysis of MgCl2 in synthetic and natural NaCl–MgCl2–CaCl2–H2O-bearing fluid inclusions. Semi-quantitative analysis of NaCl–MgCl2–H2O solutions indicates that peaks at 3437 and 3537 cm−1 reflect the presence of NaCl in the solution. Further, a peak at 3514 cm−1 is indicative of the presence of MgCl2. The relative intensities of these peaks may be related to the relative abundances of NaCl and MgCl2. A quantitative attempt was made on NaCl–MgCl2–CaCl2–H2O system, but it was found that quantifying NaCl, MgCl2 and CaCl2 separately in NaCl–MgCl2–CaCl2–H2O system by the secondary freezing method is difficult.

Multi-energy calibration and sample fusion as alternatives for quantitative analysis of high silicon content samples by laser-induced breakdown spectrometry

2019 ◽  
Vol 34 (8) ◽  
pp. 1701-1707 ◽  
Author(s):  
Alexandrina A. C. Carvalho ◽  
Larissa A. Cozer ◽  
Maciel S. Luz ◽  
Lidiane C. Nunes ◽  
Fábio R. P. Rocha ◽  
...  
Keyword(s):  
Particle Size ◽  
Quantitative Analysis ◽  
Size Effects ◽  
Silicon Content ◽  
Energy Calibration ◽  
Laser Induced Breakdown Spectroscopy ◽  
Complex Samples ◽  
Matrix Interferences ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Calibration aiming at quantitative analysis of complex samples is one of the most difficult issues in laser-induced breakdown spectroscopy (LIBS) due to matrix interferences, heterogeneity, and sample particle size effects.

Ensemble calibration for the spectral quantitative analysis of complex samples

2017 ◽  
Vol 32 (11) ◽  
pp. e2940 ◽  
Author(s):  
Xihui Bian ◽  
Pengyao Diwu ◽  
Yirui Liu ◽  
Peng Liu ◽  
Qian Li ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Complex Samples

Spectral quantitative analysis of complex samples based on the extreme learning machine

2016 ◽  
Vol 8 (23) ◽  
pp. 4674-4679 ◽  
Author(s):  
Xi-Hui Bian ◽  
Shu-Juan Li ◽  
Meng-Ran Fan ◽  
Yu-Gao Guo ◽  
Na Chang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Extreme Learning Machine ◽  
Predictive Performance ◽  
Complex Samples ◽  
Learning Machine ◽  
Novel Algorithm

A novel algorithm called the extreme learning machine is introduced for the spectral quantitative analysis of complex samples, which enhances predictive performance.

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