4.6 Article

Lipid characterization of arabica and robusta coffee beans by liquid chromatography-ion mobility-mass spectrometry

Related references

Note: Only part of the references are listed.
Article Multidisciplinary Sciences

Lipidomic and metabolomic profiles of Coffea canephora L. beans cultivated in Southwestern Nigeria

Chinyere F. Anagbogu et al.

Summary: This study analyzed the lipid molecules of 30 genotypes of C. canephora through UPLC-MS profiling, identifying nine classes of lipids among them. Although differences were found among the lipid profiles of 'Niaouli', 'Kouillou', and 'Java Robusta' genotypes, multivariate analysis revealed greater similarity in their lipid composition. Members of the fatty acyls group were found to have the greatest power to discriminate among genotypes.

PLOS ONE (2021)

Article Chemistry, Analytical

Optimization of a liquid chromatography-ion mobility-high resolution mass spectrometry platform for untargeted lipidomics and application to HepaRG cell extracts

Katyeny Manuela da Silva et al.

Summary: Analytical methods for evaluating the lipidome of biological samples need to provide high-quality data for comprehensive profiling and reliable structural elucidation. Liquid chromatography-high resolution mass spectrometry (LC-HRMS) is the current state-of-the-art technique for lipidomic analysis, with the optimization of LC parameters and the application of ion mobility providing additional dimensions of separation and annotation confidence. The platform optimization described in this study can guide method development and CCS database comparison for high-confidence lipid annotation in untargeted analysis workflows.

TALANTA (2021)

Article Biochemical Research Methods

Effect of Sampling Rate and Data Pretreatment for Targeted and Nontargeted Analysis by Means of Liquid Chromatography Coupled to Drift Time Ion Mobility Quadruple Time-of-Flight Mass Spectrometry

Kristina Toetsch et al.

Summary: Ion mobility serves as an additional separation dimension for analyzing complex biological samples. Optimizing experimental conditions and data processing methods can reduce peak variability and background noise, improving accuracy in analysis and annotation. Optimization of data acquisition and preprocessing is crucial for data extraction and enhancing overall results.

JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY (2021)

Article Biotechnology & Applied Microbiology

A lipidome atlas in MS-DIAL 4

Hiroshi Tsugawa et al.

NATURE BIOTECHNOLOGY (2020)

Article Biochemistry & Molecular Biology

Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures

Gerhard Liebisch et al.

JOURNAL OF LIPID RESEARCH (2020)

Article Food Science & Technology

Comprehensive lipid analysis of green Arabica coffee beans by LC-HRMS/MS

Ana Carolina R. Silva et al.

FOOD RESEARCH INTERNATIONAL (2020)

Article Chemistry, Analytical

Recent advances in analytical strategies for mass spectrometry-based lipidomics

Tianrun Xu et al.

ANALYTICA CHIMICA ACTA (2020)

Review Chemistry, Analytical

New frontiers in lipidomics analyses using structurally selective ion mobility-mass spectrometry

Rachel A. Harris et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2019)

Article Biology

LION/web: a web-based ontology enrichment tool for lipidomic data analysis

Martijn R. Molenaar et al.

GIGASCIENCE (2019)

Article Plant Sciences

Lipid profile adjustments may contribute to warming acclimation and to heat impact mitigation by elevated [CO2] in Coffea spp

Paula Scotti-Campos et al.

ENVIRONMENTAL AND EXPERIMENTAL BOTANY (2019)

Review Food Science & Technology

Influence of genotype and environment on coffee quality

Bing Cheng et al.

TRENDS IN FOOD SCIENCE & TECHNOLOGY (2016)

Review Spectroscopy

MASS SPECTROMETRIC ANALYSIS OF LONG-CHAIN LIPIDS

Robert C. Murphy et al.

MASS SPECTROMETRY REVIEWS (2011)

Article Agriculture, Multidisciplinary

Discrimination of Green Arabica and Robusta Coffee Beans by Raman Spectroscopy

Anke Keidel et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2010)

Article Biochemistry & Molecular Biology

Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics

Vitali Matyash et al.

JOURNAL OF LIPID RESEARCH (2008)