New insights into the search of meat quality biomarkers assisted by Orbitrap Tribrid untargeted metabolite analysis and chemometrics

Garlito, Borja; Sentandreu, Miguel Ángel; Yusà, Vicent; Oliván, Mamen; Pardo, Olga; Sentandreu, Enrique

doi:10.1016/j.foodchem.2022.135173

Cited by 5 publications

(1 citation statement)

References 26 publications

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“…Examples of the applications of these levels include the works by Nikolopoulou et al. (2022) on emerging contaminants, Kaufmann et al.’s (2023) tentative identification of selective androgen receptor modulators, and Garlito et al.’s (2023) study on meat quality biomarkers.…”

Section: Metabolomics and Substance Identificationmentioning

confidence: 99%

From sound check to encore: A journey through high‐resolution mass spectrometry‐based food analyses and metabolomics

Díaz‐Galiano,

Murcia‐Morales,

Fernández‐Alba

2024

Comp Rev Food Sci Food Safe

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This manuscript presents a comprehensive review of high‐resolution mass spectrometry in the field of food analysis and metabolomics. We have followed the historical evolution of metabolomics, its associated techniques and technologies, and its increasing role in food science and research. The review provides a critical comparison and synthesis of tentative identification guidelines proposed for over 15 years, offering a condensed resource for researchers in the field. We have also examined a wide range of recent metabolomics studies, showcasing various methodologies and highlighting key findings as a testimony of the versatility of the field and the possibilities it offers. In doing so, we have also carefully provided a compilation of the software tools that may be employed in this type of studies. The manuscript also explores the prospects of high‐resolution mass spectrometry and metabolomics in food science. By covering the history, guidelines, applications, and tools of metabolomics, this review attempts to become a comprehensive guide for researchers in a rapidly evolving field.

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Section: Metabolomics and Substance Identificationmentioning

confidence: 99%