Serum fatty acid profiling of colorectal cancer by gas chromatography/mass spectrometry

2011 ◽  
Vol 5 (4) ◽  
pp. 451-460 ◽  
Author(s):  
Yasuyuki Kondo ◽  
Shin Nishiumi ◽  
Masakazu Shinohara ◽  
Naoya Hatano ◽  
Atsuki Ikeda ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Fatty Acid ◽  
Gas Chromatography Mass Spectrometry ◽  
Serum Fatty Acid ◽  
Chromatography Mass Spectrometry ◽  
Fatty Acid Profiling

scholarly journals Automated Trimethyl Sulfonium Hydroxide Derivatization Method for High-Throughput Fatty Acid Profiling by Gas Chromatography–Mass Spectrometry

Molecules ◽  
2021 ◽  
Vol 26 (20) ◽  
pp. 6246
Author(s):  
Paul Gries ◽  
Atul Singh Rathore ◽  
Xiyuan Lu ◽  
Jennifer Chiou ◽  
Yen Bao Huynh ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acids ◽  
Gas Chromatography ◽  
Fatty Acid ◽  
High Throughput ◽  
Methyl Esters ◽  
Gas Chromatography Mass Spectrometry ◽  
Sample Handling ◽  
Chromatography Mass Spectrometry ◽  
Fatty Acid Profiling

Fatty acid profiling on gas chromatography–mass spectrometry (GC–MS) platforms is typically performed offline by manually derivatizing and analyzing small batches of samples. A GC–MS system with a fully integrated robotic autosampler can significantly improve sample handling, standardize data collection, and reduce the total hands-on time required for sample analysis. In this study, we report an optimized high-throughput GC–MS-based methodology that utilizes trimethyl sulfonium hydroxide (TMSH) as a derivatization reagent to convert fatty acids into fatty acid methyl esters. An automated online derivatization method was developed, in which the robotic autosampler derivatizes each sample individually and injects it into the GC–MS system in a high-throughput manner. This study investigated the robustness of automated TMSH derivatization by comparing fatty acid standards and lipid extracts, derivatized manually in batches and online automatically from four biological matrices. Automated derivatization improved reproducibility in 19 of 33 fatty acid standards, with nearly half of the 33 confirmed fatty acids in biological samples demonstrating improved reproducibility when compared to manually derivatized samples. In summary, we show that the online TMSH-based derivatization methodology is ideal for high-throughput fatty acid analysis, allowing rapid and efficient fatty acid profiling, with reduced sample handling, faster data acquisition, and, ultimately, improved data reproducibility.

An efficient and robust fatty acid profiling method for plasma metabolomic studies by gas chromatography–mass spectrometry

2015 ◽  
Vol 451 ◽  
pp. 183-190 ◽  
Author(s):  
Huai-Hsuan Chiu ◽  
Sung-Jeng Tsai ◽  
Y. Jane Tseng ◽  
Ming-Shiang Wu ◽  
Wei-Chih Liao ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Fatty Acid ◽  
Gas Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Fatty Acid Profiling

scholarly journals DIFFERENTIATION OF FATTY ACID COMPOSITION OF BUTTER ADULTERATED WITH LARD USING GAS CHROMATOGRAPHY MASS SPECTROMETRY COMBINED WITH PRINCIPAL COMPONENET ANALYSIS

2016 ◽  
Vol 78 (2) ◽  
Author(s):  
Nurrulhidayah Ahmad Fadzlillah ◽  
Abdul Rohman ◽  
Arieff Salleh Rosman ◽  
Farahwahida Mohd Yusof ◽  
Amin Ismail ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Principal Component Analysis ◽  
Gas Chromatography ◽  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Principal Component ◽  
Food Samples ◽  
Gas Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Halal Authentication

Butter is high priced product; as a consequence, butter can be subjected for adulteration with low price components such as lard. The presence of lard in any products is not allowed for Muslim and Jewish, therefore, its presence must be identified. Gas chromatography-mass spectrometry was successfully used to detect and discriminate butter from adulterated with lard. Results were presented in the form of chromatogram. Principal component analysis (PCA) was used to interpret the data and provided a good grouping of samples with 55.8% of the variation accounted for by PC 1 and 21.5% were accounted for by PC 2. All the lard containing samples formed a separate group from the samples that were free of lard. This method can be developed into a rapid method for detecting the presence of lard in food samples for Halal authentication.

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