scholarly journals A Continuous-Flow Gas Chromatography 14C Accelerator Mass Spectrometry System

Radiocarbon ◽  
2010 ◽  
Vol 52 (2) ◽  
pp. 295-300 ◽  
Author(s):  
Cameron P McIntyre ◽  
Ernst Galutschek ◽  
Mark L Roberts ◽  
Karl F von Reden ◽  
Ann P McNichol ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Accelerator Mass Spectrometry ◽  
Fatty Acid Methyl Esters ◽  
Methyl Esters ◽  
Direct Analysis ◽  
Ion Source ◽  
Analytical Instruments ◽  
Acid Methyl ◽  
Microwave Ion Source ◽  
Mass Spectrometry System

Gas-accepting ion sources for radiocarbon accelerator mass spectrometry (AMS) have permitted the direct analysis of CO2 gas, eliminating the need to graphitize samples. As a result, a variety of analytical instruments can be interfaced to an AMS system, processing time is decreased, and smaller samples can be analyzed (albeit with lower precision). We have coupled a gas chromatograph to a compact 14C AMS system fitted with a microwave ion source for real-time compound-specific 14C analysis. As an initial test of the system, we have analyzed a sample of fatty acid methyl esters and biodiesel. Peak shape and memory was better then existing systems fitted with a hybrid ion source while precision was comparable. 14C/12C ratios of individual components at natural abundance levels were consistent with those determined by conventional methods. Continuing refinements to the ion source are expected to improve the performance and scope of the instrument.

scholarly journals Upon the opportunity to apply ART2 Neural Network for clusterization of biodiesel fuels

2016 ◽  
Vol 3 (1) ◽  
pp. 19-25
Author(s):  
T. Petkov ◽  
Z. Mustafa ◽  
S. Sotirov ◽  
R. Milina ◽  
M. Moskovkina
Keyword(s):  
Neural Network ◽  
Mass Spectrometry ◽  
Artificial Neural Network ◽  
Gas Chromatography ◽  
Fatty Acid Methyl Esters ◽  
Methyl Esters ◽  
Gas Chromatography Mass Spectrometry ◽  
Acid Methyl ◽  
Chemometric Approach ◽  
Biodiesel Fuels

Abstract A chemometric approach using artificial neural network for clusterization of biodiesels was developed. It is based on artificial ART2 neural network. Gas chromatography (GC) and Gas Chromatography - mass spectrometry (GC-MS) were used for quantitative and qualitative analysis of biodiesels, produced from different feedstocks, and FAME (fatty acid methyl esters) profiles were determined. Totally 96 analytical results for 7 different classes of biofuel plants: sunflower, rapeseed, corn, soybean, palm, peanut, “unknown” were used as objects. The analysis of biodiesels showed the content of five major FAME (C16:0, C18:0, C18:1, C18:2, C18:3) and those components were used like inputs in the model. After training with 6 samples, for which the origin was known, ANN was verified and tested with ninety “unknown” samples. The present research demonstrated the successful application of neural network for recognition of biodiesels according to their feedstock which give information upon their properties and handling.

Potential of electrospray ionization mass spectrometry (ESI-MS), using direct infusion, to quantify fatty acid methyl esters (FAMEs) in biodiesel

2017 ◽  
Vol 9 (26) ◽  
pp. 3949-3955
Author(s):  
Rodrigo V. P. Leal ◽  
Gabriel F. Sarmanho ◽  
Luiz H. Leal ◽  
Bruno C. Garrido ◽  
Lucas J. Carvalho ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acid ◽  
Methyl Ester ◽  
Fatty Acid Methyl Esters ◽  
Methyl Esters ◽  
Acid Methyl Ester ◽  
Ionization Mass ◽  
Direct Infusion ◽  
Esi Ms ◽  
Acid Methyl

Fatty acid methyl ester (FAME) intensities, by ESI-MS, used to their quantification in biodiesel.

Direct ultrasound-assisted methylation of fatty acids in serum for free fatty acid determinations

2010 ◽  
Vol 88 (9) ◽  
pp. 898-905 ◽  
Author(s):  
Liyan Liu ◽  
Ying Li ◽  
Rennan Feng ◽  
Changhao Sun
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acids ◽  
Gas Chromatography ◽  
Fatty Acid ◽  
Fatty Acid Methyl Esters ◽  
Methyl Esters ◽  
Ultrasonic Waves ◽  
Acid Methyl ◽  
Ultrasound Assisted

A method for simultaneous determination of 16 free fatty acids (FFAs) in serum is described. The method involves conversion of FFAs to fatty acid methyl esters (FAMEs) using the heat of ultrasonic waves followed by gas chromatography and mass spectrometry (GC–MS) analysis. Optimum levels of the variables affecting the yield of FAMEs were investigated. The results indicate that the optimal levels are 55 °C, 60 W, 10% H2SO4/CH3OH, and 50 min. Recoveries ranged from 85.32% to 112.11%, with a detection limit ranging from 0.03 to 0.08 μg mL–1. The linearity, using the linear correlation coefficient, was higher than 0.9914.

Determination of fatty acid methyl esters in cosmetic castor oils by flow injection-electrospray ionization-high-resolution mass spectrometry

2018 ◽  
Vol 40 (3) ◽  
pp. 295-302 ◽  
Author(s):  
M. A. Arroyo Negrete ◽  
K. Wrobel ◽  
F. J. Acevedo Aguilar ◽  
E. Yanez Barrientos ◽  
A. R. Corrales Escobosa ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acid ◽  
High Resolution ◽  
Electrospray Ionization ◽  
Fatty Acid Methyl Esters ◽  
High Resolution Mass Spectrometry ◽  
Methyl Esters ◽  
Acid Methyl ◽  
Resolution Mass
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