Journal Menu
► ▼ Journal Menu-
- Metabolites Home
- Aims & Scope
- Editorial Board
- Reviewer Board
- Topical Advisory Panel
- Instructions for Authors
- Special Issues
- Topics
- Sections & Collections
- Article Processing Charge
- Indexing & Archiving
- Editor’s Choice Articles
- Most Cited & Viewed
- Journal Statistics
- Journal History
- Journal Awards
- Conferences
- Editorial Office
Journal Browser
► ▼ Journal BrowserNeed Help?
Announcements
21 July 2023
Metabolites | Selected Papers Related to Mass-Spectrometry in 2022–2023
We are pleased to invite you to read the selected papers from Metabolites (ISSN: 2218-1989) related to the application of mass spectrometry published in 2022 and 2023. The list is as follows:
1. “LC-MS/MS Characterization of Phenolic Metabolites and Their Antioxidant Activities from Australian Native Plants”
by Akhtar Ali, Jeremy J. Cottrell and Frank R. Dunshea
Metabolites 2022, 12(11), 1016; https://doi.org/10.3390/metabo12111016
Available online: https://www.mdpi.com/2218-1989/12/11/1016
2. “An Optimised Monophasic Faecal Extraction Method for LC-MS Analysis and Its Application in Gastrointestinal Disease”
by Patricia E. Kelly, H Jene Ng, Gillian Farrell, Shona McKirdy, Richard K. Russell, Richard Hansen, Zahra Rattray, Konstantinos Gerasimidis and Nicholas J. W. Rattray
Metabolites 2022, 12(11), 1110; https://doi.org/10.3390/metabo12111110
Available online: https://www.mdpi.com/2218-1989/12/11/1110
3. “Comparison of Lysis and Detachment Sample Preparation Methods for Cultured Triple-Negative Breast Cancer Cells Using UHPLC–HRMS-Based Metabolomics”
by Blake R. Rushing, Madison Schroder and Susan C. J. Sumner
Metabolites 2022, 12(2), 168; https://doi.org/10.3390/metabo12020168
Available online: https://www.mdpi.com/2218-1989/12/2/168
4. “Vertical Transfer of Metabolites Detectable from Newborn’s Dried Blood Spot Samples Using UPLC-MS: A Chemometric Study”
by Alessandra Olarini, Madeleine Ernst, Gözde Gürdeniz, Min Kim, Nicklas Brustad, Klaus Bønnelykke, Arieh Cohen, David Hougaard, Jessica Lasky-Su, Hans Bisgaard et al.
Metabolites 2022, 12(2), 94; https://doi.org/10.3390/metabo12020094
Available online: https://www.mdpi.com/2218-1989/12/2/94
5. “Identification and Distribution of Sterols, Bile Acids, and Acylcarnitines by LC–MS/MS in Humans, Mice, and Pigs—A Qualitative Analysis”
by Ambrin Farizah Babu, Ville Mikael Koistinen, Soile Turunen, Gloria Solano-Aguilar, Joseph F. Urban, Jr., Iman Zareiand and Kati Hanhineva
Metabolites 2022, 12(1), 49; https://doi.org/10.3390/metabo12010049
Available online: https://www.mdpi.com/2218-1989/12/1/49
6. “Development of a Novel Targeted Metabolomic LC-QqQ-MS Method in Allergic Inflammation”
by David Obeso, Nuria Contreras, Mariana Dolores-Hernández, Teresa Carrillo, Coral Barbas, María M. Escribese, Alma Villaseñor and Domingo Barber
Metabolites 2022, 12(7), 592; https://doi.org/10.3390/metabo12070592
Available online: https://www.mdpi.com/2218-1989/12/7/592
7. “Investigation of Phospholipid Differences in Valproic Acid-Induced Autistic Mouse Model Brain Using Mass Spectrometry Imaging”
by Hyun Jun Jang, Kyoung Ja Kwon, Chan Young Shin, Ga Seul Lee, Jeong Hee Moon, Tae Geol Lee and Sohee Yoon
Metabolites 2023, 13(2), 178; https://doi.org/10.3390/metabo13020178
Available online: https://www.mdpi.com/2218-1989/13/2/178
8. “Mass-Spectrometry-Based Lipidomics Discriminates Specific Changes in Lipid Classes in Healthy and Dyslipidemic Adults”
by Salvador Sánchez-Vinces, Pedro Henrique Dias Garcia, Alex Ap. Rosini Silva, Anna Maria Alves de Piloto Fernandes, Joyce Aparecida Barreto, Gustavo Henrique Bueno Duarte, Marcia Aparecida Antonio, Alexander Birbrair, Andreia M. Porcari and Patricia de Oliveira Carvalho
Metabolites 2023, 13(2), 222; https://doi.org/10.3390/metabo13020222
Available online: https://www.mdpi.com/2218-1989/13/2/222
9. “Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population”
by Sarah Gregory, Scott G. Denham, Patricia Lee, Joanna P. Simpson and Natalie Z. M. Homer
Metabolites 2023, 13(2), 265; https://doi.org/10.3390/metabo13020265
Available online: https://www.mdpi.com/2218-1989/13/2/265
10. “Genome-Scale Metabolic Reconstruction, Non-Targeted LC-QTOF-MS Based Metabolomics Data, and Evaluation of Anticancer Activity of Cannabis sativa Leaf Extracts”
by Fidias D. González Camargo, Mary Santamaria-Torres, Mónica P. Cala, Marcela Guevara-Suarez, Silvia Restrepo Restrepo, Andrea Sánchez-Camargo, Miguel Fernández-Niño, María Corujo, Ada Carolina Gallo Molina, Javier Cifuentes et al.
Metabolites 2023, 13(7), 788; https://doi.org/10.3390/metabo13070788
Available online: https://www.mdpi.com/2218-1989/13/7/788