Editors Overview

etm maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Focus and Scope

About the Journal

Emerging Trends in Metabolites is a peer-reviewed open-access journal launched in 2023 that aims to publish high-quality research on the latest advances and trends in the field of metabolomics. The journal covers all aspects of metabolomics research, including analytical methods, data analysis, bioinformatics, and the application of metabolomics in various fields such as medicine, agriculture, environmental science, and food science.

Emerging Trends in Metabolites is dedicated to promoting the advancement of metabolomics research and its application in various fields, and to providing a comprehensive and authoritative platform for the dissemination of knowledge and ideas in this rapidly evolving field.

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Focus and Scope

Focus and Scope

 

  • Metabolomics technologies and analytical methods: Metabolomics, Metabolite analysis, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Imaging mass spectrometry, Targeted metabolomics, Untargeted metabolomics, Data analysis, Data preprocessing, Data normalization, Data integration, Statistical analysis, Multivariate analysis, Chemometrics, Biomarker discovery, Validation, Quality control.
  • Metabolite profiling and fingerprinting: Metabolite profiling, Metabolite fingerprinting, Metabolomics, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Imaging mass spectrometry, Targeted metabolomics, Untargeted metabolomics, Data analysis, Data preprocessing, Data normalization, Data integration, Statistical analysis, Multivariate analysis, Chemometrics, Biomarker discovery, Validation, Quality control.
  • Metabolomics data analysis and interpretation: Metabolomics, Data analysis, Data preprocessing, Data normalization, Data integration, Statistical analysis, Multivariate analysis, Chemometrics, Feature selection, Biomarker discovery, Pathway analysis, Metabolic network analysis, Metabolite annotation, Metabolite identification, Metabolite quantification, Metabolite set enrichment analysis, Metabolite clustering, Metabolite correlation analysis, Machine learning, Artificial intelligence, Validation, Quality control.
  • Metabolomics in disease diagnosis and biomarker discovery: Metabolomics, Disease diagnosis, Biomarker discovery, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Targeted metabolomics, Untargeted metabolomics, Data analysis, Statistical analysis, Multivariate analysis, Chemometrics, Feature selection, Pathway analysis, Metabolite annotation, Metabolite identification, Metabolite quantification, Machine learning, Artificial intelligence, Validation, Quality control, Cancer, Cardiovascular disease, Diabetes, Neurodegenerative disease, Inflammatory disease.
  • Metabolomics in drug discovery and development: Metabolomics, Drug discovery, Drug development, Target identification, Target validation, Lead optimization, Mode of action, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Targeted metabolomics, Untargeted metabolomics, Data analysis, Statistical analysis, Multivariate analysis, Chemometrics, Metabolite annotation, Metabolite identification, Metabolite quantification, Metabolic network analysis, Machine learning, Artificial intelligence, Validation, Quality control, Pharmacokinetics, Pharmacodynamics, Toxicity, Bioavailability.
  • Metabolomics in personalized medicine: Metabolomics, Personalized medicine, Precision medicine, Biomarker discovery, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Targeted metabolomics, Untargeted metabolomics, Data analysis, Statistical analysis, Multivariate analysis, Chemometrics, Feature selection, Pathway analysis, Metabolic network analysis, Metabolite annotation, Metabolite identification, Metabolite quantification, Machine learning, Artificial intelligence, Validation, Quality control, Pharmacogenomics, Disease subtyping, Therapeutic monitoring, Disease prognosis, Treatment response.
  • Metabolomics in plant science and agriculture: Metabolomics, Plant Science, Agriculture, Crop improvement, Metabolic profiling, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Imaging mass spectrometry, Targeted metabolomics, Untargeted metabolomics, Data analysis, Statistical analysis, Multivariate analysis, Chemometrics, Metabolite annotation, Metabolite identification, Metabolite quantification, Metabolic network analysis, Metabolic engineering, Plant-pathogen interactions, Abiotic stress responses, Nutrient uptake and utilization, Food Safety, Quality control, Food authentication.
  • Metabolomics in environmental science and toxicology: Metabolomics, Environmental science, Toxicology, Environmental monitoring, Environmental toxicology, Exposure assessment, Metabolic profiling, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Targeted metabolomics, Untargeted metabolomics, Data analysis, Statistical analysis, Multivariate analysis, Chemometrics, Metabolite annotation, Metabolite identification, Metabolite quantification, Metabolic network analysis, Biomarker discovery, Mechanistic toxicity, Ecotoxicology, Soil and water quality, Pollutant identification and quantification, Bioaccumulation and biomagnification, Risk assessment, Quality control.
  • Metabolomics in food science and nutrition: Metabolomics, Food Science, Nutrition, Food Quality, Food Safety, Food authentication, Food metabolomics, Metabolic profiling, Mass spectrometry, Nuclear magnetic resonance spectroscopy, Chromatography, Gas chromatography, Liquid chromatography, Capillary electrophoresis, Imaging mass spectrometry, Targeted metabolomics, Untargeted metabolomics, Data analysis, Statistical analysis, Multivariate analysis, Chemometrics, Metabolite annotation, Metabolite identification, Metabolite quantification, Metabolic network analysis, Food bioactive, Nutrient analysis, Food digestion and absorption, Sensory Science, Food formulation and processing, Foodomics, Dietary assessment, Dietary interventions, Health biomarkers.

 

Keywords:

  • Metabolomics technologies and methods
  • Single-cell metabolomics
  • Spatial metabolomics
  • High-resolution mass spectrometry
  • Imaging mass spectrometry
  • Metabolomics databases and software tools
  • Machine learning and Artificial intelligence in Metabolomics
  • Integration of multi-omics data
  • Metabolomics in microbiome research
  • Metabolomics in cancer research
  • Metabolomics in drug development and personalized medicine
  • Metabolomics in environmental monitoring and Toxicology
  • Metabolomics in food science and nutrition
  • Metabolomics in Agriculture and plant science
  • Metabolic engineering and synthetic biology
  • Metabolomics in sports science and Performance
  • Exposomics and exposome-wide association studies
  • Non-invasive metabolomics for disease diagnosis and monitoring
  • Metabolomics in aging research and gerontology.

Open Access Statement

The Emerging Trends in Metabolites (etm) is an open-access (OA) publication which provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. All published works will be available to a worldwide audience, free, immediately upon publication. Publication in the journal is subject to payment of an article processing charge (APC). The APC serves to support the journal and ensures that articles are freely accessible online in perpetuity under a Creative Commons licenses.

Publication Ethics Statement

etm fully adhere to Code of Conduct of Publication Ethics (COPE) and to its Best Practice Guidelines. The Editorial Team enforces a rigorous peer-review process with strict ethical policies and standards to ensure the addition of high-quality scientific studies to the field of scholarly publication. In cases where etm becomes aware of ethical issues, it is committed to investigating and taking necessary actions to maintain the integrity of the literature and ensure the safety of research participants. Click here to read more about the Research & Publication virtue ethics

Content Disclaimer

  • All the information’s, opinions, and views mentioned here represents the authors and the contributions of the articles.
  • Publication of articles, advertisements, or product information does not constitute endorsement or approval by the journal.
  • Cannot be help responsible for any error or consequences while using the information updated in this journal.
  • Although every effort is done by etm to see that there’s no any inaccurate data, misleading data, opinion or statement within the journal, the data and opinions appearing in the articles are the responsibility of the contributors concerned.