Mass Spectrometry is a peer-reviewed, open access journal publishing articles in all areas of mass spectrometry. Published continuously online, the journal is fully indexed in J-STAGE and PubMed Central.
Mass Spectrometry welcomes submissions from around the world.

About the journal

Mass Spectrometry is an academic journal on both fundamentals and applications of mass spectrometry, owned and published by the Mass Spectrometry Society of Japan (MSSJ).

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Readers

Anyone may access all articles in Mass Spectrometry from J-STAGE and PMC.

 

Contact

This site is operated by the Mass Spectrometry Society of Japan.

The Mass Spectrometry Society of Japan
c/o Academy Center, Yamabuki-cho 358-5, Shinjuku-ku, Tokyo 162-0801, Japan
TEL: +81-3-6824-9378
E-mail: mssj-post[at]as.bunken.co.jp

(Note : change [at] to @ when typing in address.)

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Latest articles

Original ArticleNovember 11, 2025

Isotope dilution mass spectrometry is a widely used method for measuring intracellular metabolite concentrations, relying on the ratio of peak areas between the target compound and its stable isotope–labeled internal standard. For metabolome analysis of microorganisms, comprehensive concentration measurements have been achieved through the preparation of stable isotope–labeled internal standard extracts (SILIS).

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Original ArticleOctober 29, 2025

Algorithm for Selecting Organic Compounds to Verify the Resolution of Electron Ionization Mass Spectrometers

Valentin G. Tkachenko, Sergey V. Silkin, Alexandr V. Sakharov, Vasily A. Eliferov, Denis V. Kolesnik, Anastasia S. Konstantinova, Evgeniy A. Filatov, Ekaterina S. Shiryaeva, Stanislav I. Pekov, Igor A. Popov

The ion coalescence phenomenon complicates the evaluation of the effective resolution of Fourier-transform mass spectrometers. We propose an approach for confirming the resolution of an electron ionization Fourier-transform mass spectrometer using pairs of organic substances identified by automatically generated formula differences.

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ReviewJune 18, 2025

Artificial intelligence (AI) has provided viable methods for retrieving, organizing, and analyzing mass spectrometry (MS) data in various applications. However, several challenges remain as this technique is still in its early, preliminary stages.

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